Alejandro F Frangi

发表

Virtual clinical trials in medical imaging: a review

Ehsan Samei, Andrew D. A. Maidment, Ehsan Abadi, 2020, Journal of medical imaging.

Three-dimensional reconstruction and NURBS-based structured meshing of coronary arteries from the conventional X-ray angiography projection images

Nenad Filipovic, Alejandro F Frangi, Arso M Vukicevic, 2018, Scientific Reports.

Dynamic estimation of three-dimensional cerebrovascular deformation from rotational angiography.

Alejandro F Frangi, Mathieu De Craene, José María Pozo, 2011, Medical physics.

Automatic cardiac LV segmentation in MRI using modified graph cuts with smoothness and interslice constraints

Alejandro F Frangi, Catalina Tobon-Gomez, Karim Lekadir, 2014, Magnetic resonance in medicine.

OpenCMISS: a multi-physics & multi-scale computational infrastructure for the VPH/Physiome project.

Heye Zhang, Oscar Camara, Ting Yu, 2011, Progress in biophysics and molecular biology.

Feasibility of estimating regional mechanical properties of cerebral aneurysms in vivo.

Oscar Camara, Alejandro F Frangi, Simone Balocco, 2010, Medical physics.

Automatic training and reliability estimation for 3D ASM applied to cardiac MRI segmentation.

Constantine Butakoff, Alejandro F Frangi, Catalina Tobon-Gomez, 2012, Physics in medicine and biology.

Intrinsic layer based automatic specular reflection detection in endoscopic images

Hong Song, Muhammad Asif, Alejandro F Frangi, 2020, Comput. Biol. Medicine.

Estimation of trabecular bone parameters in children from multisequence MRI using texture-based regression.

Alejandro F Frangi, David King, Karim Lekadir, 2016, Medical physics.

A parametric finite element solution of the generalised Bloch-Torrey equation for arbitrary domains.

Alejandro F Frangi, Leandro Beltrachini, Zeike A Taylor, 2015, Journal of magnetic resonance.

Computational mouse atlases and their application to automatic assessment of craniofacial dysmorphology caused by the Crouzon mutation Fgfr2C342Y

Per Larsen, Sven Kreiborg, Alejandro F Frangi, 2007, Journal of anatomy.

Tensor-cut: A tensor-based graph-cut blood vessel segmentation method and its application to renal artery segmentation

Yuichiro Hayashi, Tokunori Yamamoto, Masahiro Oda, 2019, Medical Image Anal..

Classification of breast lesions in ultrasonography using sparse logistic regression and morphology‐based texture features

Alejandro F. Frangi, Ali Gooya, Alejandro F Frangi, 2018, Medical physics.

Fully automatic detection of lung nodules in CT images using a hybrid feature set

Ali Gooya, Gulistan Raja, Alejandro F Frangi, 2017, Medical physics.

Deep motion tracking from multiview angiographic image sequences for synchronization of cardiac phases

Danni Ai, Hong Song, Yongtian Wang, 2019, Physics in medicine and biology.

Flexible modeling for anatomically-based cardiac conduction system construction

Alejandro F Frangi, Rafael Sebastian, Daniel Romero, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2018, Nature Communications.

Diagnosis of early Alzheimer’s disease based on dynamic high order networks

Xin Zhao, Tianfu Wang, Baiying Lei, 2020, Brain Imaging and Behavior.

A vision and strategy for the virtual physiological human: 2012 update

Alfio Quarteroni, Marco Viceconti, Nour Shublaq, 2013, Interface Focus.

3D segmentation of annulus fibrosus and nucleus pulposus from T2-weighted magnetic resonance images

Alejandro F Frangi, Isaac Castro-Mateos, Aron Lazary, 2014, Physics in medicine and biology.

An atlas- and data-driven approach to initializing reaction-diffusion systems in computer cardiac electrophysiology.

Alejandro F Frangi, Karim Lekadir, Corné Hoogendoorn, 2017, International journal for numerical methods in biomedical engineering.

Tracking and diameter estimation of retinal vessels using Gaussian process and Radon transform

Ali Gooya, Alejandro F Frangi, Navid Alemi Koohbanani, 2017, Journal of medical imaging.

Author Correction: Why rankings of biomedical image analysis competitions should be interpreted with care

Aaron Carass, Keno März, Lena Maier-Hein, 2019, Nature Communications.

Population‐based Bayesian regularization for microstructural diffusion MRI with NODDIDA

Alejandro F Frangi, Santiago Coelho, Meghdoot Mozumder, 2019, Magnetic resonance in medicine.

Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer pdf

Rui Li, Yi Xiong, Xin Yang, 2021, ArXiv.

A surface-based approach to determine key spatial parameters of the acetabulum in a standardized pelvic coordinate system.

Pengfei Jia, Alejandro F Frangi, Liao Wang, 2017, Medical engineering & physics.

Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease

Ee-Leng Tan, Baiying Lei, Jiuwen Cao, 2020, Medical Image Anal..

Groupwise registration with global-local graph shrinkage in atlas construction

Danni Ai, Hong Song, Qin Li, 2020, Medical Image Anal..

Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets

Alejandro F. Frangi, Nishant Ravikumar, Alejandro F Frangi, 2020, Medical Image Anal..

Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning

Alejandro F Frangi, Yan Xia, Nishant Ravikumar, 2021, Medical Image Anal..

The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays pdf

Alejandro F Frangi, Nishant Ravikumar, Kieran Zucker, 2021, ArXiv.

Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds

Alejandro F Frangi, Nishant Ravikumar, Yan Xia, 2021, Medical Image Anal..

Style Curriculum Learning for Robust Medical Image Segmentation pdf

Dong Ni, Alejandro F Frangi, Nishant Ravikumar, 2021, MICCAI.

Auto-weighted centralised multi-task learning via integrating functional and structural connectivity for subjective cognitive decline diagnosis

Baiying Lei, Alejandro F Frangi, Gaoxiong Duan, 2021, Medical Image Anal..

A Deep Discontinuity-Preserving Image Registration Network

Alejandro F Frangi, Yan Xia, Nishant Ravikumar, 2021, MICCAI.

CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning pdf

Alejandro F Frangi, Yan Xia, Nishant Ravikumar, 2021, ArXiv.

Dual attention enhancement feature fusion network for segmentation and quantitative analysis of paediatric echocardiography

Jing Qin, Tianfu Wang, Baiying Lei, 2021, Medical Image Anal..

Flip Learning: Erase to Segment

Dong Ni, Haoran Dou, Alejandro F Frangi, 2021, MICCAI.

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction pdf

Dong Ni, Alejandro F Frangi, Nishant Ravikumar, 2021, MICCAI.

Estimation of the viscoelastic properties of vessel walls using a computational model and Doppler ultrasound

Olivier Basset, Piero Tortoli, Christian Cachard, 2010, Physics in medicine and biology.

Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments

Alejandro F Frangi, Leandro Beltrachini, Annalena Venneri, 2017, Alzheimer disease and associated disorders.

Atlas-based quantification of myocardial motion abnormalities: added-value for understanding the effect of cardiac resynchronization therapy.

Nicolas Duchateau, Lluís Mont, Gemma Piella, 2012, Ultrasound in medicine & biology.

Magnetic resonance elastography of the brain: An in silico study to determine the influence of cranial anatomy

Alejandro F Frangi, Nishant Ravikumar, Iain D Wilkinson, 2015, Magnetic resonance in medicine.

Numerical simulation of blood flow in the left ventricle and aortic sinus using magnetic resonance imaging and computational fluid dynamics

Alejandro F. Frangi, Oscar Camara, Alejandro F Frangi, 2014, Computer methods in biomechanics and biomedical engineering.

euHeart: personalized and integrated cardiac care using patient-specific cardiovascular modelling

Helko Lehmann, Alejandro F. Frangi, Hervé Delingette, 2011, Interface Focus.

Analysis and quantification of endovascular coil distribution inside saccular aneurysms using histological images

Alejandro F. Frangi, Alejandro F Frangi, Ignacio Larrabide, 2012, Journal of NeuroInterventional Surgery.

Technical note: comparison between single and multiview simulated DXA configurations for reconstructing the 3D shape and bone mineral density distribution of the proximal femur.

Alejandro F. Frangi, Mathieu De Craene, Alejandro F Frangi, 2012, Medical physics.

Relationship between endocardial activation sequences defined by high-density mapping to early septal contraction (septal flash) in patients with left bundle branch block undergoing cardiac resynchronization therapy.

Reza Razavi, Oscar Camara, Maxime Sermesant, 2012, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.

Three-dimensional morphological analysis of intracranial aneurysms: a fully automated method for aneurysm sac isolation and quantification.

Rubén Cárdenes, Alejandro F Frangi, Ignacio Larrabide, 2011, Medical physics.

Characterizing myocardial deformation in patients with left ventricular hypertrophy of different etiologies using the strain distribution obtained by magnetic resonance imaging.

Gemma Piella, Alejandro F Frangi, Mathieu De Craene, 2010, Revista Española de Cardiología.

Automated regional wall motion abnormality detection by combining rest and stress cardiac MRI: Correlation with contrast‐enhanced MRI

Alejandro F. Frangi, Boudewijn P F Lelieveldt, Avan Suinesiaputra, 2011, Journal of magnetic resonance imaging : JMRI.

Uncertainty quantification of wall shear stress in intracranial aneurysms using a data-driven statistical model of systemic blood flow variability.

Ali Gooya, Alejandro F Frangi, Toni Lassila, 2016, Journal of biomechanics.

A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging

Ling Shao, Alejandro F. Frangi, Ali Gooya, 2016, Magnetic Resonance Materials in Physics, Biology and Medicine.

Influence of different computational approaches for stent deployment on cerebral aneurysm haemodynamics

Alejandro F. Frangi, Giancarlo Pennati, Lorenza Petrini, 2011, Interface Focus.

Detailed exploration of the endothelium: parameterization of flow-mediated dilation through principal component analysis

Alejandro F Frangi, M. Laclaustra, Martin Laclaustra, 2007, Physiological measurement.

Automatic Quality Control for Population Imaging: A Generic Unsupervised Approach

Alejandro F. Frangi, Alejandro F Frangi, José María Pozo, 2016, MICCAI.

A computational model for prediction of clot platelet content in flow-diverted intracranial aneurysms.

Alejandro F Frangi, T. Lassila, A. Sarrami-Foroushani, 2019, Journal of biomechanics.

Automatic segmentation of left and right ventricles in cardiac MRI using 3D-ASM and deep learning

Alejandro F. Frangi, Liman Liu, Alejandro F Frangi, 2021, Signal Process. Image Commun..

Cardiac Population Image Quantiﬁcation: Analysis of 20K Subjects in the UK Biobank

Alejandro F Frangi, S. Petersen, S. Piechnik, 2018 .

Why rankings of biomedical image analysis competitions should be interpreted with care

Alejandro F. Frangi, Peter F. Neher, Aaron Carass, 2018, Nature Communications.

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015

Alejandro F. Frangi, Nassir Navab, William M. Wells, 2015, Lecture Notes in Computer Science.

Morphologic Pattern of Late Gadolinium Enhancement in Takotsubo Cardiomyopathy Detected by Early Cardiovascular Magnetic Resonance

Alejandro F Frangi, B. Bijnens, M. Huguet, 2011, Clinical cardiology.

Joint segmentation and discontinuity-preserving deformable registration: Application to cardiac cine-MR images

Alejandro F Frangi, N. Ravikumar, Y. Xia, 2022, ArXiv.

Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 - Volume 9349

Alejandro F. Frangi, Nassir Navab, William M. Wells, 2015, MICCAI 2015.

Editorial for the Special Issue on MICCAI 2015

Alejandro F. Frangi, Nassir Navab, William M. Wells, 2016, Medical Image Anal..

Automated Segmentation Initialization and Quality Control for Population Cardiac MRI Analysis

Alejandro F. Frangi, Alejandro F Frangi, A. Young, 2019 .

Image-based modelling

Alejandro F. Frangi, David Atkinson, Denis Friboulet, 2014 .

Benchmarking framework for myocardial tracking and deformation algorithms: An open access database

Alejandro F. Frangi, Kawal S. Rhode, Daniel Rueckert, 2013, Medical Image Anal..

Quantification of Brain Aneurysm Dimensions from CTA for Surgical Planning of Coiling Interventions

Alejandro F. Frangi, Alejandro F Frangi, G. Sapiro, 2005 .

Accuracy and Reproducibility of Patient-Specific Hemodynamic Models of Stented Intracranial Aneurysms: Report on the Virtual Intracranial Stenting Challenge 2011

Alejandro F Frangi, M. P. Arroyo, A. J. Geers, 2014, Annals of Biomedical Engineering.

Guide Wire Tracking During Endovascular Interventions

Alejandro F. Frangi, Max A. Viergever, Wiro J. Niessen, 2000, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Automatic construction of 3D statistical shape models using non-rigid registration

Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, 2003 .

Automatic Construction of 3D Statistical Deformation Models of the Brain using Non-Rigid Registration

Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, 2003, IEEE Trans. Medical Imaging.

Automatic construction of multiple-object three-dimensional shape models: Application to cardiac modeling

Alejandro F. Frangi, Daniel Rueckert, Wiro J. Niessen, 2002 .

Comparison of Stochastic and Variational Solutions to ASL fMRI Data Analysis

Alejandro F. Frangi, Alejandro F Frangi, Nassir Navab, 2018 .

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

Alejandro F Frangi, Alfredo I. Hernández, N. Ayache, 2013, Medical & Biological Engineering & Computing.

CS2-Net: Curvilinear Structure Segmentation Network for Medical Images

Alejandro F. Frangi, Jun Cheng, Huazhu Fu, 2020 .

CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging

Alejandro F. Frangi, Jun Cheng, Huazhu Fu, 2020, Medical Image Anal..

Jian Yang, Alejandro F. Frangi, David Zhang, 2003, Int. J. Pattern Recognit. Artif. Intell..

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2018, Lecture Notes in Computer Science.

A multi-center milestone study of clinical vertebral CT segmentation

Ronald M. Summers, Purang Abolmaesumi, Bulat Ibragimov, 2016, Comput. Medical Imaging Graph..

Statistical Interspace Models (SIMs): Application to Robust 3D Spine Segmentation

Alejandro F. Frangi, Alejandro F Frangi, Isaac Castro-Mateos, 2015, IEEE Transactions on Medical Imaging.

Accurate Segmentation of Vertebral Bodies and Processes Using Statistical Shape Decomposition and Conditional Models

Alejandro F. Frangi, Alejandro F Frangi, Isaac Castro-Mateos, 2015, IEEE Transactions on Medical Imaging.

Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction

Alejandro F. Frangi, Yi Lei, Feng Zhou, 2020, Medical Image Anal..

Beyond Episodic Memory: Semantic Processing as Independent Predictor of Hippocampal/Perirhinal Volume in Aging and Mild Cognitive Impairment due to Alzheimer’s Disease

Alejandro F. Frangi, Alejandro F Frangi, A. Venneri, 2019, Neuropsychology.

Simultaneous Super-Resolution and Cross-Modality Synthesis of 3D Medical Images Using Weakly-Supervised Joint Convolutional Sparse Coding

Ling Shao, Alejandro F. Frangi, Alejandro F Frangi, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Statistical Shape and Appearance Models in Osteoporosis

Timothy F. Cootes, Alejandro F Frangi, Alejandro F. Frangi, 2014, Current Osteoporosis Reports.

Tubular Structure Segmentation Using Spatial Fully Connected Network with Radial Distance Loss for 3D Medical Images

Alejandro F. Frangi, Hayato Itoh, Yuichiro Hayashi, 2019, MICCAI.

Muliscale Vessel Enhancement Filtering

Alejandro F. Frangi, Max A. Viergever, Wiro J. Niessen, 1998, MICCAI.

KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition

Jian Yang, Alejandro F. Frangi, David Zhang, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration

Alejandro F Frangi, D. Rueckert, A.F. Frangi, 2003, IEEE Transactions on Medical Imaging.

Active shape model segmentation with optimal features

Alejandro F. Frangi, Max A. Viergever, Bram van Ginneken, 2002, IEEE Transactions on Medical Imaging.

Automatic Construction of 3D Statistical Deformation Models Using Non-rigid Registration

Alejandro F. Frangi, Daniel Rueckert, Julia A. Schnabel, 2001, MICCAI.

Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2019, Medical Image Anal..

Three-dimensional modeling for functional analysis of cardiac images, a review

Alejandro F. Frangi, Max A. Viergever, Wiro J. Niessen, 2001, IEEE Transactions on Medical Imaging.

Medical imaging and computational image analysis in COVID-19 diagnosis: A review pdf

Mohammad Mohammadi, Alejandro F Frangi, Alejandro F. Frangi, 2020, Computers in Biology and Medicine.

Fed-Sim: Federated Simulation for Medical Imaging

Alejandro F. Frangi, Alejandro F Frangi, S. Fidler, 2020, MICCAI.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I

Alejandro F. Frangi, Gabor Fichtinger, Gerhard Goos, 2018, MICCAI.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2018, Lecture Notes in Computer Science.

Genome-wide association study of intracranial aneurysm identifies three new risk loci

Alejandro F. Frangi, Alejandro F Frangi, L. Peltonen, 2010, Nature genetics.

Leptin may play a role in bone microstructural alterations in obese children.

Alejandro F. Frangi, Alejandro F Frangi, R. Eastell, 2015, The Journal of clinical endocrinology and metabolism.

Towards Regional Elastography of Intracranial Aneurysms

Alejandro F. Frangi, Oscar Camara, Alejandro F Frangi, 2008, MICCAI.

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Alejandro F. Frangi, Sotirios A. Tsaftaris, Daniel Rueckert, 2018, IEEE Journal of Biomedical and Health Informatics.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2018, Lecture Notes in Computer Science.

Vascular dysfunction in the pathogenesis of Alzheimer's disease — A review of endothelium-mediated mechanisms and ensuing vicious circles

Alejandro F Frangi, A. Venneri, P. Evans, 2015, Neurobiology of Disease.

Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease

Alejandro F. Frangi, Daniel Rueckert, Helena Molina-Abril, 2016, PloS one.

Strategic research agenda for biomedical imaging

Alejandro F Frangi, H. Kauczor, X. Golay, 2019, Insights into Imaging.

Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment

Alejandro F. Frangi, Adrián Colomer, Valery Naranjo, 2019, IEEE Transactions on Medical Imaging.

An Experimental Evaluation of Three Classifiers for Use in Self-Updating Face Recognition Systems

Alejandro F. Frangi, Constantine Butakoff, David Delgado-Gómez, 2012, IEEE Transactions on Information Forensics and Security.

Two-dimensional PCA: a new approach to appearance-based face representation and recognition

Jian Yang, Alejandro F. Frangi, David Zhang, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Wall shear stress at the initiation site of cerebral aneurysms

Alejandro F Frangi, A F Frangi, I Larrabide, 2017, Biomechanics and modeling in mechanobiology.

Risk of Rupture of Small Anterior Communicating Artery Aneurysms Is Similar to Posterior Circulation Aneurysms

Alejandro F. Frangi, Martin Hofmann-Apitius, Pankaj Singh, 2013, Stroke.

Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya, 2018, Medical Image Anal..

Myocardial deformation from tagged MRI in hypertrophic cardiomyopathy using an efficient registration strategy

Alejandro F Frangi, I. Larrabide, G. Piella, 2009, Medical Imaging.

Internal Report 97-01 Gap Junctions for Engineers : A review

Alejandro F Frangi, 1997 .

Iba-1-/CD68+ microglia are a prominent feature of age-associated deep subcortical white matter lesions

Alejandro F Frangi, J. Highley, S. Coelho, 2019, PloS one.

@neurIST complex information processing toolchain for the integrated management of cerebral aneurysms

Alejandro F Frangi, D R Hose, A F Frangi, 2011, Interface Focus.

The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

Alejandro F Frangi, C. Sudlow, N. Allen, 2020, Nature Communications.

Cardiac injuries in blunt chest trauma

Alejandro F Frangi, C. Tobon-Gomez, B. Bijnens, 2009, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

Predicting myocardial infarction through retinal scans and minimal personal information

Alejandro F Frangi, E. Agrón, Yitian Zhao, 2022, Nature Machine Intelligence.

Autonomous Tissue Retraction in Robotic Assisted Minimally Invasive Surgery – A Feasibility Study

Alejandro F. Frangi, Pietro Valdastri, Matteo Leonetti, 2020, IEEE Robotics and Automation Letters.

Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review

Alejandro F Frangi, C. Burton, F. Gleeson, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

A Spatio-Temporal Ageing Atlas of the Proximal Femur

Alejandro F Frangi, Alejandro F. Frangi, Eugene McCloskey, 2020, IEEE Transactions on Medical Imaging.

Spatio-Temporal Atlas of Bone Mineral Density Ageing

Alejandro F. Frangi, Alejandro F Frangi, José María Pozo, 2018, MICCAI.

Quantitating the effect of prosthesis design on femoral remodeling using high‐resolution region‐free densitometric analysis (DXA‐RFA)

Alejandro F. Frangi, Alejandro F Frangi, J. Pozo, 2017, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Patient Metadata-Constrained Shape Models for Cardiac Image Segmentation

Alejandro F. Frangi, Alistair A. Young, Pau Medrano-Gracia, 2015, STACOM@MICCAI.

A Predictive Model of Vertebral Trabecular Anisotropy From Ex Vivo Micro-CT

Alejandro F. Frangi, Alejandro F Frangi, Christopher Noble, 2015, IEEE Transactions on Medical Imaging.

Use of high resolution dual‐energy x‐ray absorptiometry‐region free analysis (DXA‐RFA) to detect local periprosthetic bone remodeling events

Alejandro F Frangi, J. Pozo, J. Wilkinson, 2015, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Statistical estimation of femur micro-architecture using optimal shape and density predictors.

Alejandro F. Frangi, Alejandro F Frangi, Karim Lekadir, 2015, Journal of biomechanics.

high-s patial- r esolution Bone Densitometry with Dual- energy X-ray absorptiometric r egion-

Alejandro F Frangi, J. Pozo, J. Wilkinson, 2015 .

High-spatial-resolution bone densitometry with dual-energy X-ray absorptiometric region-free analysis.

Alejandro F. Frangi, Alejandro F Frangi, J. Pozo, 2015, Radiology.

Reconstruction of Coronary Trees from 3DRA Using a 3D+t Statistical Cardiac Prior

Alejandro F. Frangi, Alejandro F Frangi, Corné Hoogendoorn, 2014, MICCAI.

Integrating volumetric biomedical data in the virtual physiological human

Alejandro F. Frangi, Richard Baldock, Peter Hunter, 2011, MIXHS '11.

Influence of Geometric Variations on LV Activation Times: A Study on an Atlas-Based Virtual Population

Alejandro F. Frangi, Oscar Camara, Alejandro F Frangi, 2010, STACOM/CESC.

Projective active shape models for pose-variant image analysis of quasi-planar objects: Application to facial analysis

Alejandro F. Frangi, Josechu J. Guerrero, Alejandro F Frangi, 2010, Pattern Recognit..

Projectiveactiveshapemodelsforpose-variantimageanalysisofquasi-planarobjects: Applicationtofacialanalysis

Alejandro F Frangi, José Jesús Guerrero, Alejandro F. Frangi, 2010 .

Bilinear Models for Spatio-Temporal Point Distribution Analysis

Alejandro F. Frangi, Alejandro F Frangi, Federico Sukno, 2009, 2007 IEEE 11th International Conference on Computer Vision.

Bilinear Models for Spatio-Temporal Point Distribution Analysis: Application to Extrapolation of Whole Heart Cardiac Dynamics

Alejandro F. Frangi, Alejandro F Frangi, Federico Sukno, 2007, ICCV.

Homographic active shape models for view-independent facial analysis

Alejandro F. Frangi, Alejandro F Frangi, José Jesús Guerrero, 2005, SPIE Defense + Commercial Sensing.

A non-linear gray-level appearance model improves active shape model segmentation

Alejandro F Frangi, B. M. ter Haar Romeny, B. van Ginneken, 2001, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).

High-spatial-resolution bone densitometry with dual-energy X-ray absorptiometric region-free analysis.

Alejandro F Frangi, J. Pozo, J. Wilkinson, 2015, Radiology.

Thrombosis in Cerebral Aneurysms and the Computational Modeling Thereof: A Review

Alejandro F. Frangi, Yiannis Ventikos, Alejandro F Frangi, 2018, Front. Physiol..

Intervertebral disc classification by its degree of degeneration from T2-weighted magnetic resonance images

Alejandro F. Frangi, Alejandro F Frangi, J. Pozo, 2016, European Spine Journal.

Characterization of active and infiltrative tumorous subregions from normal tissue in brain gliomas using multiparametric MRI

Alejandro F. Frangi, Alejandro F Frangi, C. Davatzikos, 2018, Journal of magnetic resonance imaging : JMRI.

Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter

Alejandro F. Frangi, Alejandro F Frangi, José María Pozo, 2018, NeuroImage.

Medicine-Based Evidence in Congenital Heart Disease: How Artificial Intelligence Can Guide Treatment Decisions for Individual Patients

Alejandro F Frangi, G. Diller, W. Budts, 2021, Frontiers in Cardiovascular Medicine.

Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI

Alejandro F. Frangi, Alejandro F Frangi, Santiago Coelho, 2019, MICCAI.

Comparison of two techniques of endovascular coil modeling in cerebral aneurysms using CFD

Alejandro F. Frangi, Alejandro F Frangi, Ignacio Larrabide, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Is Vasomotion in Cerebral Arteries Impaired in Alzheimer’s Disease?

Alejandro F. Frangi, Alejandro F Frangi, Chris J. Martin, 2015, Journal of Alzheimer's disease : JAD.

Quantitative histomorphometry of capillary microstructure in deep white matter

Alejandro F. Frangi, Alejandro F Frangi, J. Highley, 2019, NeuroImage: Clinical.

Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease

Alejandro F. Frangi, Alejandro F Frangi, Z. Taylor, 2017, Interface Focus.

Ventricularwall thickness analysis in acute myocardial infarction and hypertrophic cardiomyopathy

Alejandro F. Frangi, Paul A. Yushkevich, Alejandro F Frangi, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Three-dimensional model-based analysis of vascular and cardiac images

Alejandro F. Frangi, Alejandro F Frangi, 2001 .

Evaluation of wave delivery methodology for brain MRE: Insights from computational simulations

Deirdre M. McGrath, Nishant Ravikumar, Leandro Beltrachini, 2017, Magnetic resonance in medicine.

Learning pathological deviations from a normal pattern of myocardial motion

Alejandro F. Frangi, Alejandro F Frangi, M. D. Craene, 2016 .

COMPUTATIONAL ANALYSIS OF BLOOD FLOW DYNAMICS IN CEREBRAL ANEURYSMS FROM CTA AND 3 D ROTATIONAL ANGIOGRAPHY IMAGE DATA

Alejandro F. Frangi, Juan R. Cebral, Alejandro F Frangi, 2003 .

Bone tumor segmentation from MR perfusion images with neural networks using multi-scale pharmacokinetic features

Alejandro F. Frangi, Max A. Viergever, Wiro J. Niessen, 2001, Image Vis. Comput..

Segmentation of bone tumor in MR perfusion images using neural networks and multiscale pharmacokinetic features

Alejandro F. Frangi, Wiro J. Niessen, Michael Egmont-Petersen, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Model-based quantitation of 3-D magnetic resonance angiographic images

Alejandro F. Frangi, Max A. Viergever, Theo van Walsum, 1999, IEEE Transactions on Medical Imaging.

Modifiable lifestyle factors in dementia: a systematic review of longitudinal observational cohort studies.

Alejandro F Frangi, L. Y. Di Marco, H. Soininen, 2014, Journal of Alzheimer's disease : JAD.

Influence of dynamic obstruction and hypertrophy location on diastolic function in hypertrophic cardiomyopathy

Alejandro F Frangi, B. Bijnens, M. Trivi, 2014, Journal of cardiovascular medicine.

Effect of Scar Development on Fast Electrophysiological Models of the Human Heart: In-Silico Study on Atlas-Based Virtual Populations

Alejandro F. Frangi, Oscar Camara, Alejandro F Frangi, 2011, FIMH.

Utility of Real Time 3D Echocardiography for the Assessment of Left Ventricular Mass in Patients with Hypertrophic Cardiomyopathy: Comparison with Cardiac Magnetic Resonance

Alejandro F Frangi, C. Tobon-Gomez, F. Asch, 2016, Echocardiography.

Protective Role of False Tendon in Subjects with Left Bundle Branch Block: A Virtual Population Study

Alejandro F. Frangi, Alejandro F Frangi, L. Y. Di Marco, 2016, PloS one.

Patch-Based Adaptive Background Subtraction for Vascular Enhancement in X-Ray Cineangiograms

Alejandro F. Frangi, Danni Ai, Hong Song, 2019, IEEE Journal of Biomedical and Health Informatics.

Conical deformable model for myocardial segmentation in late-enhanced MRI

Alejandro F. Frangi, Rosa M. Figueras i Ventura, Alejandro F Frangi, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images

Alejandro F. Frangi, Zhong Chen, Richard James Housden, 2016, Medical Image Anal..

Computational cardiac atlases: from patient to population and back

Alejandro F Frangi, Alistair A Young, Alejandro F Frangi, 2009, Experimental physiology.

Predicting Plausible Human Purkinje Network Morphology from Simulations

Alejandro F Frangi, T. Lassila, M. Lange, 2019, 2019 Computing in Cardiology Conference (CinC).

Predicting Plausible Human Purkinje Network Morphology from Simulations

Alejandro F Frangi, Toni Lassila, Matthias Lange, 2019, 2019 Computing in Cardiology (CinC).

A coupled 3D-1D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network

Alejandro F. Frangi, Alfio Quarteroni, Christian Vergara, 2016, J. Comput. Phys..

MOX-Report No . 19 / 2015 A coupled 3 D-1 D numerical monodomain solver for cardiac electrical activation in the myocardium with detailed Purkinje network

Alejandro F. Frangi, Alejandro F Frangi, A. Quarteroni, 2015 .

Inter-model consistency and complementarity: learning from ex-vivo imaging and electrophysiological data towards an integrated understanding of cardiac physiology.

S Niederer, H Zhang, Alejandro F Frangi, 2011, Progress in biophysics and molecular biology.

Integration of Cognitive Tests and Resting State fMRI for the Individual Identification of Mild Cognitive Impairment.

Alejandro F. Frangi, Alejandro F Frangi, Z. Taylor, 2015, Current Alzheimer research.

Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease

Alejandro F. Frangi, Daniel Rueckert, Helena Molina-Abril, 2015, IPMI.

Highly integrated workflows for exploring cardiovascular conditions: Exemplars of precision medicine in Alzheimer's disease and aortic dissection.

Alejandro F Frangi, Y Ventikos, J C Vardakis, 2019, Morphologie : bulletin de l'Association des anatomistes.

Association of endothelial function and vascular data with LDL-c and HDL-c in a homogeneous population of middle-aged, healthy military men: Evidence for a critical role of optimal lipid levels.

Alejandro F. Frangi, Alejandro F Frangi, M. Laclaustra, 2008, International journal of cardiology.

Combined statistical analysis of vasodilation and flow curves in brachial ultrasonography: technique and its connection to cardiovascular risk factors

Alejandro F Frangi, Loic Boisrobert, Alejandro F. Frangi, 2005, SPIE Medical Imaging.

Flow-mediated dilation: just a marker of local shear stress?

Alejandro F. Frangi, Alejandro F Frangi, J. Kaski, 2005, Hypertension.

Computerized Analysis and Vasodilation Parameterization in Flow-Mediated Dilation Tests from Ultrasonic Image Sequences

Alejandro F. Frangi, Alejandro F Frangi, Jian Yang, 2005 .

A registration-based approach to quantify flow-mediated dilation (FMD) of the brachial artery in ultrasound image sequences

Alejandro F. Frangi, Pablo Lamata, Alejandro F Frangi, 2003, IEEE Transactions on Medical Imaging.

Characterization of endothelial function in the brachial artery via affine registration of ultrasonographic image sequences

Alejandro F. Frangi, Pablo Lamata, Alejandro F Frangi, 2003, SPIE Medical Imaging.

Double Diffusion Encoding Prevents Degeneracy in Parameter Estimation of Biophysical Models in Diffusion MRI

Alejandro F. Frangi, Derek K. Jones, Alejandro F Frangi, 2018, 1809.05059.

On the Relative Relevance of Subject-Specific Geometries and Degeneration-Specific Mechanical Properties for the Study of Cell Death in Human Intervertebral Disk Models

Alejandro F. Frangi, Alejandro F Frangi, H. Wilke, 2015, Front. Bioeng. Biotechnol..

Simultaneous magnetic resonance diffusion and pseudo‐diffusion tensor imaging

Alejandro F. Frangi, Alejandro F Frangi, J. Pozo, 2017, Magnetic resonance in medicine.

Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence

Alejandro F Frangi, David C. Hogg, C. Gale, 2021, BMJ Open.

Deep learning for automatic cell detection in wide-field microscopy zebrafish images

Ling Shao, Alejandro F. Frangi, Bo Dong, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.

Alejandro F. Frangi, Arman Savran, Michael C. Fairhurst, 2022 .

Cross-Modality Image Synthesis via Weakly Coupled and Geometry Co-Regularized Joint Dictionary Learning

Ling Shao, Alejandro F. Frangi, Alejandro F Frangi, 2018, IEEE Transactions on Medical Imaging.

A framework for optimal kernel-based manifold embedding of medical image data

Alejandro F. Frangi, Gemma Piella, Alejandro F Frangi, 2015, Comput. Medical Imaging Graph..

Mixture of Probabilistic Principal Component Analyzers for Shapes from Point Sets

Alejandro F. Frangi, Ali Gooya, Alejandro F Frangi, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

3D active shape models of human brain structures: application to patient-specific mesh generation

Alejandro F. Frangi, Zeike A. Taylor, Nishant Ravikumar, 2015, Medical Imaging.

Automatic construction of multiple-object three-dimensional statistical shape models: application to cardiac modeling

Alejandro F. Frangi, Daniel Rueckert, Wiro J. Niessen, 2002, IEEE Transactions on Medical Imaging.

Effects of smoking and hypertension on wall shear stress and oscillatory shear index at the site of intracranial aneurysm formation

Alejandro F. Frangi, Patricia V. Lawford, Alejandro F Frangi, 2010, Clinical Neurology and Neurosurgery.

Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes

Alejandro F. Frangi, Hervé Delingette, Kawal S. Rhode, 2013, Medical Image Anal..

CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation

Alejandro F. Frangi, Yalin Zheng, Jun Cheng, 2019, MICCAI.

Efficient computational fluid dynamics mesh generation by image registration

Alejandro F. Frangi, Alejandro F Frangi, Estanislao Oubel, 2007, Medical Image Anal..

A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT

Alejandro F. Frangi, Nicolas Duchateau, Mathieu De Craene, 2013, IEEE Transactions on Medical Imaging.

Simulation and Synthesis in Medical Imaging

Sotirios A. Tsaftaris, Jerry L. Prince, Alejandro F Frangi, 2016, Lecture Notes in Computer Science.

Automated Detection of Regional Wall Motion Abnormalities Based on a Statistical Model Applied to Multislice Short-Axis Cardiac MR Images

Alejandro F. Frangi, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2009, IEEE Transactions on Medical Imaging.

Interlacing Complexity Index for open flow systems based on mutual information

Alejandro F. Frangi, Alejandro F Frangi, A. J. Geers, 2018 .

Flow complexity in open systems: interlacing complexity index based on mutual information

Alejandro F. Frangi, Alejandro F Frangi, A. J. Geers, 2017, Journal of Fluid Mechanics.

Reconstructing the 3D Shape and Bone Mineral Density Distribution of the Proximal Femur From Dual-Energy X-Ray Absorptiometry

Alejandro F. Frangi, Mathieu De Craene, Alejandro F Frangi, 2011, IEEE Transactions on Medical Imaging.

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound

Yi Wang, Dong Ni, Alejandro F Frangi, 2021, Medical Image Anal..

Reconstruction of coronary arteries from X-ray angiography: A review

Alejandro F. Frangi, Michael Grass, Ali Gooya, 2016, Medical Image Anal..

The effects of aortic coarctation on cerebral hemodynamics and its importance in the etiopathogenesis of intracranial aneurysms.

Alejandro F. Frangi, Alejandro F Frangi, I. Wilkinson, 2010, Journal of vascular and interventional neurology.

Haar-like features with optimally weighted rectangles for rapid object detection

Alejandro F. Frangi, David Delgado-Gómez, Alejandro F Frangi, 2010, Pattern Recognition.

Wall shear stress at the initiation site of cerebral aneurysms

Alejandro F Frangi, A. J. Geers, P. Bijlenga, 2016, Biomechanics and Modeling in Mechanobiology.

Modeling of the Acute Effects of Primary Hypertension and Hypotension on the Hemodynamics of Intracranial Aneurysms

Alejandro F Frangi, L. Y. Di Marco, M. Villa-Uriol, 2014, Annals of Biomedical Engineering.

ApoE ε4 Allele Related Alterations in Hippocampal Connectivity in Early Alzheimer's Disease Support Memory Performance.

Alejandro F Frangi, F. Meneghello, A. Venneri, 2017, Current Alzheimer research.

Generalised coherent point drift for group‐wise multi‐dimensional analysis of diffusion brain MRI data

Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya, 2019, Medical Image Anal..

Computational Hemodynamics in Cerebral Aneurysms: The Effects of Modeled Versus Measured Boundary Conditions

Alejandro F. Frangi, Alejandro F Frangi, I. Wilkinson, 2010, Annals of Biomedical Engineering.

Cardiac motion estimation by joint alignment of tagged MRI sequences

Alfred O. Hero, Alejandro F. Frangi, Mathieu De Craene, 2012, Medical Image Anal..

CoronARe: A Coronary Artery Reconstruction Challenge

Alejandro F. Frangi, Mathias Unberath, Andreas K. Maier, 2017, CMMI/RAMBO/SWITCH@MICCAI.

Reconstruction of Coronary Artery Centrelines from X-Ray Angiography Using a Mixture of Student's t-Distributions

Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya, 2016, MICCAI.

Nuclear and Plasma Sciences

Alejandro F Frangi, Russell H. Taylor, Otto von Guericke, 2015 .

Automated Retinal Lesion Detection via Image Saliency Analysis.

Yalin Zheng, Yitian Zhao, Alejandro F Frangi, 2019, Medical physics.

Hemodynamic alterations of a patient-specific intracranial aneurysm induced by virtual deployment of stents in various axial orientation

Alejandro F. Frangi, Alejandro F Frangi, Ignacio Larrabide, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

3D reconstruction of the lumbar vertebrae from anteroposterior and lateral dual-energy X-ray absorptiometry

Alejandro F. Frangi, Alejandro F Frangi, Tristan Whitmarsh, 2013, Medical Image Anal..

FE PREDICTION OF STRAINS FOR PATIENT-SPECIFIC PROXIMAL FEMURS GENERATED FROM A SINGLE DXA

Alejandro F. Frangi, Marco Viceconti, Luca Cristofolini, 2012 .

3D bone mineral density distribution and shape reconstruction of the proximal femur from a single simulated DXA image: an in vitro study

Alejandro F. Frangi, Thomas M. Link, Mathieu De Craene, 2010, Medical Imaging.

Virtual endovascular treatment of intracranial aneurysms: models and uncertainty

Alejandro F. Frangi, Alejandro F Frangi, T. Lassila, 2017, Wiley interdisciplinary reviews. Systems biology and medicine.

Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics

Alejandro F Frangi, Ali Sarrami-Foroushani, Mohsen Nasr Esfahany, 2015, Iranian journal of radiology : a quarterly journal published by the Iranian Radiological Society.

Quantitative analysis of vascular morphology from 3D MR angiograms: In vitro and in vivo results

Alejandro F. Frangi, Alejandro F Frangi, M. Viergever, 2001, Magnetic resonance in medicine.

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection

Alejandro F Frangi, Zhe Wang, Xingyi Li, 2020, npj Digital Medicine.

Dynamic feature learning for COVID-19 segmentation and classification

Alejandro F. Frangi, Alejandro F Frangi, Tao Wang, 2022, Computers in Biology and Medicine.

@neurIST: Infrastructure for Advanced Disease Management Through Integration of Heterogeneous Data, Computing, and Complex Processing Services

Alejandro F. Frangi, Siegfried Benkner, Martin Koehler, 2010, IEEE Transactions on Information Technology in Biomedicine.

Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound pdf

Rui Li, Haoran Dou, Yi Xiong, 2020, MICCAI.

AV@CAR: A Spanish Multichannel Multimodal Corpus for In-Vehicle Automatic Audio-Visual Speech Recognition

Alejandro F. Frangi, Eduardo Lleida, Antonio Miguel, 2004, LREC.

Anatomical Labeling of the Circle of Willis Using Maximum A Posteriori Probability Estimation

Alejandro F. Frangi, Alejandro F Frangi, J. Pozo, 2013, IEEE Transactions on Medical Imaging.

Fast 3D centerline computation for tubular structures by front collapsing and fast marching

Alejandro F. Frangi, Rubén Cárdenes, Alejandro F Frangi, 2010, 2010 IEEE International Conference on Image Processing.

Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions pdf

Alejandro F. Frangi, Peter F. Neher, Klaus H. Maier-Hein, 2018, ArXiv.

Efficient 3D Geometric and Zernike Moments Computation from Unstructured Surface Meshes

Alejandro F. Frangi, Alejandro F Frangi, José María Pozo, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Propagation of measurement noise through backprojection reconstruction in electrical impedance tomography

Alejandro F. Frangi, Max A. Viergever, Alejandro F Frangi, 2002, IEEE Transactions on Medical Imaging.

A theoretical analysis of noise in electrical impedance tomographic images

Alejandro F. Frangi, Alejandro F Frangi, J. Rosell, 1997, Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 'Magnificent Milestones and Emerging Opportunities in Medical Engineering' (Cat. No.97CH36136).

Fluid–structure interaction for highly complex, statistically defined, biological media: Homogenisation and a 3D multi-compartmental poroelastic model for brain biomechanics

Alejandro F. Frangi, Yiannis Ventikos, Alejandro F Frangi, 2019, Journal of Fluids and Structures.

Quantifying Pelvic Periprosthetic Bone Remodeling Using Dual-Energy X-Ray Absorptiometry Region-Free Analysis

Alejandro F Frangi, J. Pozo, J. Wilkinson, 2017, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.

Deep learning in medical image registration

Xiang Chen, Alejandro F Frangi, Alejandro F. Frangi, 2020, Progress in Biomedical Engineering.

Tissue microarray (TMA) use in post mortem neuropathology

Alejandro F Frangi, J. Highley, S. Coelho, 2020, Journal of Neuroscience Methods.

Improved hybrid/GPU algorithm for solving cardiac electrophysiology problems on Purkinje networks

Alejandro F Frangi, A. Quarteroni, A. F. Frangi, 2017, International journal for numerical methods in biomedical engineering.

Efficient Numerical Schemes for Computing Cardiac Electrical Activation over Realistic Purkinje Networks: Method and Verification

Alejandro F. Frangi, Alfio Quarteroni, Christian Vergara, 2015, FIMH.

Three-Dimensional Architecture of Scar and Conducting Channels Based on High Resolution ce-CMR: Insights for Ventricular Tachycardia Ablation

Oscar Camara, Alejandro F Frangi, Etelvino Silva, 2013, Circulation. Arrhythmia and electrophysiology.

Multicenter and Multichannel Pooling GCN for Early AD Diagnosis Based on Dual-Modality Fused Brain Network

Alejandro F Frangi, Jiuwen Cao, Baiying Lei, 2022, IEEE Transactions on Medical Imaging.

AIDAN: An Attention-Guided Dual-Path Network for Pediatric Echocardiography Segmentation

Alejandro F. Frangi, Tianfu Wang, Baiying Lei, 2020, IEEE Access.

3D Edge Detection by Selection of Level Surface Patches

Alejandro F. Frangi, Alejandro F Frangi, Enric Meinhardt, 2009, Journal of Mathematical Imaging and Vision.

Parkinson’s Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data

Alejandro F. Frangi, Alejandro F Frangi, Jing Qin, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Population‐specific modelling of between/within‐subject flow variability in the carotid arteries of the elderly

Alejandro F. Frangi, Alejandro F Frangi, T. Lassila, 2019, International journal for numerical methods in biomedical engineering.

A framework for the merging of pre-existing and correspondenceless 3D statistical shape models

Alejandro F. Frangi, Constantine Butakoff, Alejandro F Frangi, 2014, Medical Image Anal..

Fast virtual deployment of self-expandable stents: Method and in vitro evaluation for intracranial aneurysmal stenting

Alejandro F. Frangi, Alejandro F Frangi, Ignacio Larrabide, 2012, Medical Image Anal..

Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planning

Alejandro F Frangi, A F Frangi, I Larrabide, 2012, Computer methods in biomechanics and biomedical engineering.

Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model--a report on the Virtual Intracranial Stenting Challenge 2007.

Alejandro F Frangi, D. R. Hose, L. Socci, 2008, Journal of biomechanics.

Newtonian and non-Newtonian blood flow in coiled cerebral aneurysms.

Alejandro F. Frangi, Alejandro F Frangi, A. J. Geers, 2013, Journal of biomechanics.

Intra-Aneurysmal Pressure and Flow Changes Induced by Flow Diverters: Relation to Aneurysm Size and Shape

Alejandro F Frangi, A F Frangi, I Larrabide, 2013, American Journal of Neuroradiology.

The Role of Computational Fluid Dynamics in the Management of Unruptured Intracranial Aneurysms: A Clinicians' View

Alejandro F. Frangi, Patricia V. Lawford, Alejandro F Frangi, 2009, Comput. Intell. Neurosci..

CFD Analysis Incorporating the Influence of Wall Motion: Application to Intracranial Aneurysms

Alejandro F. Frangi, Christopher M. Putman, Juan R. Cebral, 2006, MICCAI.

A Virtual Coiling Technique for Image-Based Aneurysm Models by Dynamic Path Planning

Alejandro F. Frangi, Alejandro F Frangi, Ignacio Larrabide, 2013, IEEE Transactions on Medical Imaging.

Discovery of Pre-Treatment FDG PET/CT-Derived Radiomics-Based Models for Predicting Outcome in Diffuse Large B-Cell Lymphoma

Alejandro F. Frangi, Alejandro F Frangi, C. Burton, 2022, Cancers.

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

Alejandro F. Frangi, Hervé Delingette, Kawal S. Rhode, 2013, Medical & Biological Engineering & Computing.

Characterization and Modeling of the Peripheral Cardiac Conduction System

Alejandro F. Frangi, Alejandro F Frangi, Daniel Romero, 2013, IEEE Transactions on Medical Imaging.

Alejandro F. Frangi, Alejandro F Frangi, Tristan Whitmarsh, 2012, MeshMed.

Automated landmarking and geometric characterization of the carotid siphon

Alejandro F. Frangi, Raphaël Blanc, Rubén Cárdenes, 2012, Medical Image Anal..

3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata pdf

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2019, MICCAI.

Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography

Alejandro F. Frangi, Nicolas Duchateau, Mathieu De Craene, 2012, Medical Image Anal..

Deep segmentation of OCTA for evaluation and association of changes of retinal microvasculature with Alzheimer’s disease and mild cognitive impairment

Alejandro F Frangi, Yonghuai Liu, Jianyang Xie, 2023, The British journal of ophthalmology.

2D segmentation of intervertebral discs and its degree of degeneration from T2-weighted magnetic resonance images

Alejandro F. Frangi, Alejandro F Frangi, Isaac Castro-Mateos, 2014, Medical Imaging.

Federated Simulation for Medical Imaging

Alejandro F. Frangi, Sanja Fidler, Nishant Ravikumar, 2020, MICCAI.

FocusDET, A New Toolbox for SISCOM Analysis. Evaluation of the Registration Accuracy Using Monte Carlo Simulation

Alejandro F Frangi, M. Ledesma-Carbayo, Andrés Santos, 2012, Neuroinformatics.

Morphological Characterization of Intracranial Aneurysms Using 3-D Moment Invariants

Alejandro F. Frangi, Juan R. Cebral, Alejandro F Frangi, 2007, IEEE Transactions on Medical Imaging.

3D reconstruction of both shape and Bone Mineral Density distribution of the femur from DXA images

Alejandro F. Frangi, Thomas M. Link, Mathieu De Craene, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Hemodynamics and rupture of terminal cerebral aneurysms.

Alejandro F Frangi, Christopher Putman, Alessandro Radaelli, 2009, Academic radiology.

Multiple instance cancer detection by boosting regularised trees

Alejandro F Frangi, W. M. Wells, A. F. Frangi, 2015 .

Automatic Aneurysm Neck Detection Using Surface Voronoi Diagrams

Alejandro F. Frangi, Rubén Cárdenes, Alejandro F Frangi, 2011, IEEE Transactions on Medical Imaging.

Automatic Multi-Class Cardiovascular Magnetic Resonance Image Quality Assessment using Unsupervised Domain Adaptation in Spatial and Frequency Domains

Alejandro F. Frangi, Alejandro F Frangi, Mohsen Ebrahimi Moghaddam, 2021, 2112.06806.

Computational Methods and Clinical Applications for Spine Imaging

Guoyan Zheng, Ben Glocker, Jianhua Yao, 2016, Lecture Notes in Computer Science.

Large Diffeomorphic FFD Registration for Motion and Strain Quantification from 3D-US Sequences

Alejandro F. Frangi, Oscar Camara, Mathieu De Craene, 2009, FIMH.

Left-ventricular epi- and endocardium extraction from 3D ultrasound images using an automatically constructed 3D ASM

Alejandro F. Frangi, Constantine Butakoff, Alejandro F Frangi, 2016, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Essence of kernel Fisher discriminant: KPCA plus LDA

Jian Yang, Alejandro F. Frangi, David Zhang, 2004, Pattern Recognit..

Investigating Dementia via a multicompartmental poroelastic model of parenchymal tissue

Alejandro F Frangi, Z. Taylor, N. Ravikumar, 2017 .

Investigating patient-specific cerebroventricular fluid complexity in dementia

Alejandro F. Frangi, Alejandro F Frangi, N. Ravikumar, 2016 .

Model generation of coronary artery bifurcations from CTA and single plane angiography.

Alejandro F. Frangi, Alejandro F Frangi, N. Duchateau, 2012, Medical physics.

AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo

Alejandro F Frangi, J. Egger, Antonio Pepe, 2021, ArXiv.

Hip fracture discrimination from dual-energy X-ray absorptiometry by statistical model registration.

Alejandro F. Frangi, Alejandro F Frangi, R. Schubert, 2012, Bone.

University of Dundee Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development? Rekik,

Alejandro F Frangi, G. Fichtinger, D. Shen, 2018 .

Automatic initialization and quality control of large‐scale cardiac MRI segmentations

Alejandro F. Frangi, Alistair A. Young, Pau Medrano-Gracia, 2018, Medical Image Anal..

A vision and strategy for the virtual physiological human in 2010 and beyond

Alfio Quarteroni, Marco Viceconti, Alejandro F Frangi, 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Wall motion and hemodynamics in intracranial aneurysms

Alejandro F. Frangi, Alejandro F Frangi, C. Putman, 2013 .

AngioLab - A software tool for morphological analysis and endovascular treatment planning of intracranial aneurysms

Alejandro F. Frangi, Luigi Carotenuto, Pedro Omedas, 2012, Comput. Methods Programs Biomed..

Morphological descriptors as rupture indicators in middle cerebral artery aneurysms

Alejandro F Frangi, J. Pozo, M. Villa-Uriol, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Wall motion estimation in intracranial aneurysms

Alejandro F Frangi, E Oubel, J R Cebral, 2010, Physiological measurement.

Toward integrated management of cerebral aneurysms

Alejandro F Frangi, A F Frangi, M C Villa-Uriol, 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Non-parametric geodesic active regions: Method and evaluation for cerebral aneurysms segmentation in 3DRA and CTA

Alejandro F Frangi, Monica Hernandez, 2007, Medical Image Anal..

Characterization of cerebral aneurysms using 3D moment invariants

Monica Hernandez, Christopher M. Putman, Alejandro F Frangi, 2005, SPIE Medical Imaging.

Cerebral Aneurysms: A Patient-Specific and Image-Based Management Pipeline

Oscar Camara, Alejandro F Frangi, M. De Craene, 2011 .

Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation

Alejandro F. Frangi, Alejandro F Frangi, Toni Lassila, 2018, IEEE Transactions on Biomedical Engineering.

Morphodynamic Analysis of Cerebral Aneurysm Pulsation From Time-Resolved Rotational Angiography

Alejandro F. Frangi, Mathieu De Craene, Alejandro F Frangi, 2009, IEEE Transactions on Medical Imaging.

Sharing and reusing cardiovascular anatomical models over the Web: a step towards the implementation of the virtual physiological human project

Hervé Delingette, Peter Hunter, Alejandro F Frangi, 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Computational Anatomy Atlas of the Heart

Alejandro F Frangi, S. Ordas, E. Oubel, 2007, 2007 5th International Symposium on Image and Signal Processing and Analysis.

Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations

Alejandro F Frangi, H. Nickisch, J. Coatrieux, 2013, Medical and Biological Engineering and Computing.

Effect of Statistically Derived Fiber Models on the Estimation of Cardiac Electrical Activation

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2014, IEEE Transactions on Biomedical Engineering.

Personalized Modeling of Cardiac Electrophysiology Using Shape-Based Prediction of Fiber Orientation

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2013, STACOM.

Statistically-driven 3D fiber reconstruction and denoising from multi-slice cardiac DTI using a Markov random field model

Alejandro F. Frangi, Alejandro F Frangi, Karim Lekadir, 2016, Medical Image Anal..

A Multimodal Database for the 1 st Cardiac Motion Analysis Challenge

Alejandro F. Frangi, Kawal S. Rhode, Oscar Camara, 2011, STACOM.

Temporal Diffeomorphic Free Form Deformation (TDFFD) Applied to Motion and Deformation Quantification of Tagged MRI Sequences

Alejandro F. Frangi, Kawal S. Rhode, Nicolas Duchateau, 2011, STACOM.

A spatiotemporal statistical atlas of motion for the quantification of abnormal myocardial tissue velocities

Alejandro F. Frangi, Nicolas Duchateau, Mathieu De Craene, 2011, Medical Image Anal..

Multiview Diffeomorphic Registration for Motion and Strain Estimation from 3D Ultrasound Sequences

Alejandro F. Frangi, Cheng Yao, Graeme P. Penney, 2011, FIMH.

Aneurysms Risk of Rupture of Small Anterior Communicating Artery Aneurysms Is Similar to Print

Alejandro F. Frangi, Alejandro F Frangi, C. Friedrich, 2013 .

How Do Coil Configuration and Packing Density Influence Intra-Aneurysmal Hemodynamics?

Alejandro F. Frangi, Alejandro F Frangi, E. Vivas, 2011, American Journal of Neuroradiology.

Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity

Alejandro F. Frangi, Christopher M. Putman, Juan R. Cebral, 2005, IEEE Transactions on Medical Imaging.

Stent deployment in aneurysmatic cerebral vessels: Assessment and quantification of the differences be tween Fast Virtual Stenting and Finite Element Analysis

Alejandro F. Frangi, Giancarlo Pennati, Lorenza Petrini, 2009 .

Fast Virtual Stenting with Deformable Meshes: Application to Intracranial Aneurysms

Alejandro F. Frangi, Alejandro F Frangi, Alessandro Radaelli, 2008, MICCAI.

Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.

Alejandro F Frangi, Zhe Wang, Xingyi Li, 2020, NPJ digital medicine.

Real-time coronary artery stenosis detection based on modern neural networks

Alejandro F. Frangi, Alejandro F Frangi, A. Kutikhin, 2020, Scientific Reports.

Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study

Alejandro F. Frangi, Alejandro F Frangi, A. J. Geers, 2011, American Journal of Neuroradiology.

Influence of Coil Packing Rate and Configuration on Intracranial Aneurysm Hemodynamics

Alejandro F. Frangi, Alejandro F Frangi, Hernán G. Morales, 2009 .

Multiresolution eXtended Free‐Form Deformations (XFFD) for non‐rigid registration with discontinuous transforms

Alejandro F. Frangi, Zeike A. Taylor, Alejandro F Frangi, 2017, Medical Image Anal..

Boosting Personalized Musculoskeletal Modeling With Physics-Informed Knowledge Transfer

Alejandro F Frangi, Alejandro F. Frangi, Zhi-Li Zhang, 2022, IEEE Transactions on Instrumentation and Measurement.

Physics-Informed Deep Learning for Musculoskeletal Modeling: Predicting Muscle Forces and Joint Kinematics From Surface EMG

Alejandro F Frangi, Alejandro F. Frangi, Zhi-Li Zhang, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Diagnosis of early Alzheimer’s disease based on dynamic high order networks

Alejandro F Frangi, Alejandro F. Frangi, A. Elazab, 2020, Brain Imaging and Behavior.

Pre to Intraoperative Data Fusion Framework for Multimodal Characterization of Myocardial Scar Tissue

Alejandro F. Frangi, Gemma Piella, Alejandro F Frangi, 2014, IEEE Journal of Translational Engineering in Health and Medicine.

Interventional Endocardial Motion Estimation from Electroanatomical Mapping Data: Application to Scar Characterization

Alejandro F. Frangi, David Andreu, Gemma Piella, 2013, IEEE Transactions on Biomedical Engineering.

Endocardial motion estimation from electro-anatomical data

Alejandro F. Frangi, Gemma Piella, Alejandro F Frangi, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Cardiac Deformation from Electro-Anatomical Mapping Data: Application to Scar Characterization

Alejandro F. Frangi, Oscar Camara, Gemma Piella, 2011, FIMH.

Vascular Imaging

Alejandro F Frangi, A. F. Frangi, A. A. Amini, 2005, IEEE Trans. Medical Imaging.

Guest Editorial Special Issue on Medical Imaging and Image Computing in Computational Physiology

Alejandro F. Frangi, Nicholas Ayache, Peter J. Hunter, 2013, IEEE Trans. Medical Imaging.

Performance assessment of isolation methods for geometrical cerebral aneurysm analysis

Alejandro F. Frangi, Rubén Cárdenes, Alejandro F Frangi, 2013, Medical & Biological Engineering & Computing.

Systolic and diastolic assessment by 3D-ASM segmentation of gated-SPECT Studies: a comparison with MRI

Alejandro F Frangi, G. Moragas, C. Tobon-Gomez, 2009, Medical Imaging.

Statistical deformable models for cardiac Segmentation and Functional Analysis In Gated-Spect Studies

Alejandro F Frangi, Sebastian Ordas, Catalina Tobon-Gomez, 2007 .

Hemodynamics of thrombus formation in intracranial aneurysms: An in silico observational study

Alejandro F Frangi, Z. Taylor, N. Ravikumar, 2023, APL bioengineering.

Intracranial Aneurysm Detection from 3D Vascular Mesh Models with Ensemble Deep Learning

Alejandro F. Frangi, Zhongke Wu, Xingce Wang, 2019, MICCAI.

Flux driven medial curve extraction

Alejandro F Frangi, Monica Hernandez, I. Larrabide, 2010, The Insight Journal.

Healthy and Scar Myocardial Tissue Classification in DE-MRI

Alejandro F. Frangi, Rosa M. Figueras i Ventura, Alejandro F Frangi, 2012, STACOM.

Multi-sequence Registration of Cine, Tagged and Delay-Enhancement MRI with Shift Correction and Steerable Pyramid-Based Detagging

Alejandro F. Frangi, Oscar Camara, Mathieu De Craene, 2009, FIMH.

Automatic Prediction of Myocardial Contractility Improvement in Stress MRI Using Shape Morphometrics with Independent Component Analysis

Alejandro F. Frangi, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2005, IPMI.

Contribution of Shape Features to Intradiscal Pressure and Facets Contact Pressure in L4/L5 FSUs: An In-Silico Study

Alejandro F Frangi, Alejandro F. Frangi, Z. Taylor, 2022, Annals of Biomedical Engineering.

In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials

Alejandro F Frangi, Alejandro F. Frangi, T. Lassila, 2021, Nature Communications.

Precision Imaging: more descriptive, predictive and integrative imaging

Alejandro F. Frangi, Zeike A. Taylor, Ali Gooya, 2016, Medical Image Anal..

A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs

Alejandro F Frangi, A. Gooya, Soodeh Kalaie, 2023 .

3D Modeling of Coronary Artery Bifurcations from CTA and Conventional Coronary Angiography

Alejandro F. Frangi, José Luis Díez, Rubén Cárdenes, 2011, MICCAI.

Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT

Alejandro F. Frangi, Stephen Lin, Xiaoqin Zhang, 2017, IEEE Transactions on Medical Imaging.

Electrophysiology Model for a Human Heart with Ischemic Scar and Realistic Purkinje Network

Alejandro F. Frangi, Gemma Piella, Alejandro F Frangi, 2015, STACOM@MICCAI.

Reproducibility of image-based computational hemodynamics in intracranial aneurysms: Comparison of CTA AND 3DRA

Alejandro F. Frangi, Alejandro F Frangi, Alessandro Radaelli, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Towards High Resolution Computational Models of the Cardiac Conduction System: A Pipeline for Characterization of Purkinje-Ventricular-Junctions

Alejandro F. Frangi, Frank B. Sachse, Alejandro F Frangi, 2011, FIMH.

Construction of a Computational Anatomical Model of the Peripheral Cardiac Conduction System

Alejandro F. Frangi, Alejandro F Frangi, Daniel Romero, 2011, IEEE Transactions on Biomedical Engineering.

Personalization of Fast Conduction Purkinje System in Eikonal-Based Electrophysiological Models with Optical Mapping Data

Alejandro F. Frangi, Oscar Camara, Alejandro F Frangi, 2010, STACOM/CESC.

A mesh-less approach for fast estimation of electrical activation time in the ventricular wall

Alejandro F Frangi, A Pashaei, V Zimmerman, 2009, 2009 36th Annual Computers in Cardiology Conference (CinC).

3D Vertebra Segmentation by Feature Selection Active Shape Model

Alejandro F. Frangi, Alejandro F Frangi, Isaac Castro-Mateos, 2015 .

Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding

Alejandro F. Frangi, Derek K. Jones, Alejandro F Frangi, 2018, Magnetic resonance in medicine.

Realistic Simulation of Local Image Appearance of Cardiac Magnetic Resonance Imaging Using a Virtual Phantom Population

Bart Bijnens, Alejandro F Frangi, Catalina Tobon-Gomez, 2009 .

Image intensity standardization in 3D rotational angiography and its application to vascular segmentation

Alejandro F. Frangi, Mathieu De Craene, David Delgado-Gómez, 2008, SPIE Medical Imaging.

Learning to complete incomplete hearts for population analysis of cardiac MR images

Alejandro F Frangi, Yan Xia, N. Ravikumar, 2022, Medical Image Anal..

Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images

Alejandro F. Frangi, Alejandro F Frangi, Arso M. Vukicevic, 2020, IEEE Journal of Biomedical and Health Informatics.

Comparative Study of Deep Learning Models for Automatic Coronary Stenosis Detection in X-ray Angiography

Alejandro F Frangi, K. Klyshnikov, E. Ovcharenko, 2020, Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2.

Information Theoretic Measurement of Blood Flow Complexity in Vessels and Aneurysms: Interlacing Complexity Index

Alejandro F. Frangi, Alejandro F Frangi, José María Pozo, 2017, International Conference on Medical Image Computing and Computer-Assisted Intervention.

Automated segmentation of cerebral vasculature with aneurysms in 3DRA and TOF-MRA using geodesic active regions: an evaluation study.

Alejandro F. Frangi, Alejandro F Frangi, J. Pozo, 2010, Medical physics.

Alejandro F. Frangi, Alejandro F Frangi, Tristan Whitmarsh, 2012, MeshMed.

Partially Conditioned Generative Adversarial Networks pdf

Alejandro F. Frangi, Alejandro F Frangi, Nishant Ravikumar, 2020, ArXiv.

Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation

Alejandro F. Frangi, Ali Gooya, Erik Meijering, 2019, IEEE Transactions on Image Processing.

Predicting myocardial infarction through retinal scans and minimal personal information

Alejandro F Frangi, Alejandro F. Frangi, E. Agrón, 2022, Nature Machine Intelligence.

Modality Completion via Gaussian Process Prior Variational Autoencoders for Multi-Modal Glioma Segmentation

Alejandro F. Frangi, Mohammad Hamghalam, Alejandro F Frangi, 2021, MICCAI.

Contrastive Rendering for Ultrasound Image Segmentation pdf

Haoran Dou, Rui Li, Alejandro F Frangi, 2020, MICCAI.

RAY-BASED SEGMENTATION ALGORITHM FOR MEDICAL IMAGING

Olga Gerget, Alejandro F Frangi, V. V. Danilov, 2019, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Analysis of intracranial aneurysm wall motion and its effects on hemodynamic patterns

Christopher M. Putman, Alejandro F Frangi, Estanislao Oubel, 2007, SPIE Medical Imaging.

Similarity-based Fisherfaces

Alejandro F. Frangi, Jens Fagertun, David Delgado-Gómez, 2009, Pattern Recognit. Lett..

An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2016, IEEE Transactions on Medical Imaging.

Independent component analysis in statistical shape models

Alejandro F. Frangi, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2003, SPIE Medical Imaging.

Active shape models with invariant optimal features (IOF-ASM) application to cardiac MRI segmentation

Alejandro F Frangi, Sebastian Ordas, Loic Boisrobert, 2003, Computers in Cardiology, 2003.

Message from the General and Program Chairs

In So Kweon, Nikos Paragios, Svetlana Lazebnik, 2018, 2020 International Conference on Pervasive Artificial Intelligence (ICPAI).

Three-Dimensional Deconvolution of Wide Field Microscopy with Sparse Priors: Application to Zebrafish Imagery

Ling Shao, Alejandro F. Frangi, Bo Dong, 2014, 2014 22nd International Conference on Pattern Recognition.

Patient-Specific Biomechanical Modeling of Bone Strength Using Statistically-Derived Fabric Tensors

Alejandro F Frangi, Z. Taylor, K. Lekadir, 2015, Annals of Biomedical Engineering.

RecON: Online learning for sensorless freehand 3D ultrasound reconstruction

Alejandro F Frangi, Wufeng Xue, N. Ravikumar, 2023, Medical Image Anal..

Combined Fisherfaces framework

Jian Yang, Alejandro F. Frangi, Jing-Yu Yang, 2003, Image Vis. Comput..

An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains

Alejandro F. Frangi, Alejandro F Frangi, Z. Taylor, 2016 .

Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image Classification

Alejandro F Frangi, Mohammad Amin Fahami, Alejandro F. Frangi, 2023, IEEE Transactions on Industrial Informatics.

Multivariate functional partial least squares for classification using longitudinal data.

Alejandro F Frangi, Jeanine Houwing-Duistermaat, Haiyan Liu, 2021, Theoretical biology forum.

Semi-supervised Assessment of Incomplete LV Coverage in Cardiac MRI Using Generative Adversarial Nets

Alejandro F. Frangi, Ali Gooya, Le Zhang, 2017, SASHIMI@MICCAI.

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology

Alejandro F Frangi, Alejandro F. Frangi, S. Plein, 2023, ArXiv.

Geometry Regularized Joint Dictionary Learning for Cross-Modality Image Synthesis in Magnetic Resonance Imaging

Ling Shao, Alejandro F. Frangi, Alejandro F Frangi, 2016, SASHIMI@MICCAI.

Quantitating Age‐Related BMD Textural Variation from DXA Region‐Free‐Analysis: A Study of Hip Fracture Prediction in Three Cohorts

Alejandro F Frangi, Alejandro F. Frangi, R. Eastell, 2022, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

Deep learning with visual explanation for radiotherapy-induced toxicity prediction

Alejandro F Frangi, A. Scarsbrook, A. Gooya, 2023, Medical Imaging.

Automated Personalised Human Left Ventricular FE Models to Investigate Heart Failure Mechanics

Alejandro F. Frangi, Alistair A. Young, Peter J. Hunter, 2012, STACOM.

Biomechanical wall properties of human intracranial aneurysms resected following surgical clipping

Alejandro F. Frangi, Alejandro F Frangi, F Nicoud, 2011 .

Quantitative Assessment of Estimation Approaches for Mining over Incomplete Data in Complex Biomedical Spaces: A Case Study on Cerebral Aneurysms

Alejandro F. Frangi, Alejandro F Frangi, Gerhard Engelbrecht, 2012, PACBB.

What is next for screening for undiagnosed atrial fibrillation? Artificial intelligence may hold the key

Alejandro F Frangi, Alejandro F. Frangi, David C. Hogg, 2021, European heart journal. Quality of care & clinical outcomes.

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination.

Alejandro F Frangi, Manuel R. Freire, M. Tistarelli, 2022 .

A Generalised Deep Meta-Learning Model for Automated Quality Control of Cardiovascular Magnetic Resonance Images

Alejandro F Frangi, A. A. Abin, M. Moghaddam, 2023, Computer Methods and Programs in Biomedicine.

Fully Automated Assessment of Cardiac Coverage in Cine Cardiovascular Magnetic Resonance Images using an Explainable Deep Visual Salient Region Detection Model

Alejandro F. Frangi, Alejandro F Frangi, A. A. Abin, 2022, 2206.06844.

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN

Alejandro F. Frangi, Bo Dong, Ali Gooya, 2018, IEEE Transactions on Biomedical Engineering.

Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI

Alejandro F. Frangi, Le Zhang, Alejandro F Frangi, 2018, MICCAI.

Utility of pre-treatment FDG PET/CT–derived machine learning models for outcome prediction in classical Hodgkin lymphoma

Alejandro F Frangi, Alejandro F. Frangi, C. Burton, 2022, European Radiology.

A Confidence-Based Update Rule for Self-updating Human Face Recognition Systems

Alejandro F. Frangi, Constantine Butakoff, Alejandro F Frangi, 2009, ICB.

Constrained manifold learning for the characterization of pathological deviations from normality

Alejandro F. Frangi, Nicolas Duchateau, Mathieu De Craene, 2012, Medical Image Anal..

Prediction of Cerebral Aneurysm Rupture Using Hemodynamic, Morphologic and Clinical Features: A Data Mining Approach

Alejandro F. Frangi, Alejandro F Frangi, Gerhard Engelbrecht, 2011, DEXA.

The @neurIST project: towards understanding cerebral aneurysms

Alejandro F Frangi, Alejandro Frangi, 2007 .

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Maria A. Zuluaga, M. Jorge Cardoso, Suyash P. Awate, 2023, ArXiv.

SPM to the heart: Mapping of 4D continuous velocities for motion abnormality quantification

Alejandro F. Frangi, Kawal S. Rhode, Nicolas Duchateau, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale

Alejandro F Frangi, Alejandro F. Frangi, S. Petersen, 2022, Medical Image Anal..

Diffusion MRI for Assessment of Bone Quality; A Review of Findings in Healthy Aging and Osteoporosis

Alejandro F. Frangi, Alejandro F Frangi, E. McCloskey, 2019, Journal of magnetic resonance imaging : JMRI.

Realistic simulation of cardiac magnetic resonance studies modeling anatomical variability, trabeculae, and papillary muscles

Alejandro F Frangi, C Tobon-Gomez, F M Sukno, 2011, Magnetic resonance in medicine.

Genome-wide association study of intracranial aneurysm identifies three new risk loci

Alejandro F Frangi, L. Peltonen, C. Wijmenga, 2010, Nature Genetics.

Vascular dysfunction in the pathogenesis of Alzheimer's disease — A review of endothelium-mediated mechanisms and ensuing vicious circles

Alejandro F Frangi, A. Venneri, P. Evans, 2015, Neurobiology of Disease.

Approximating hemodynamics of cerebral aneurysms with steady flow simulations.

Alejandro F Frangi, A F Frangi, I Larrabide, 2014, Journal of biomechanics.

Modeling of the Acute Effects of Primary Hypertension and Hypotension on the Hemodynamics of Intracranial Aneurysms

Alejandro F Frangi, L. Y. Di Marco, M. Villa-Uriol, 2014, Annals of Biomedical Engineering.

Learned Local Attention Maps for Synthesising Vessel Segmentations

Alejandro F Frangi, N. Ravikumar, Rodrigo Bonazzola, 2023, ArXiv.

Shape-guided Conditional Latent Diffusion Models for Synthesising Brain Vasculature

Alejandro F Frangi, N. Ravikumar, T. Lassila, 2023, DGM4MICCAI.

A Generative Shape Compositional Framework: Towards Representative Populations of Virtual Heart Chimaeras

Alejandro F Frangi, N. Ravikumar, Haoran Dou, 2022, ArXiv.

Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT

Alejandro F Frangi, Stephen Lin, Jiang Liu, 2017, IEEE Transactions on Medical Imaging.

OpenMandible: An open-source framework for highly realistic numerical modelling of lower mandible physiology.

Alejandro F. Frangi, Alejandro F Frangi, A. Vukicevic, 2021, Dental Materials.

A framework for optimal kernel-based manifold embedding of medical image data

Alejandro F Frangi, G. Piella, K. Lekadir, 2015, Comput. Medical Imaging Graph..

Patient-Specific Biomechanical Modeling of Bone Strength Using Statistically-Derived Fabric Tensors

Alejandro F. Frangi, Zeike A. Taylor, Alejandro F Frangi, 2015, Annals of Biomedical Engineering.

Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound

Alejandro F. Frangi, Alejandro F Frangi, Dong Ni, 2021, MLMI@MICCAI.

MICaps: Multi-instance capsule network for machine inspection of Munro's microabscess

Anabik Pal, Alejandro F Frangi, Akshay Chaturvedi, 2021, Comput. Biol. Medicine.

A Comparative Study of Spatio-Temporal U-Nets for Tissue Segmentation in Surgical Robotics

Alejandro F Frangi, P. Valdastri, M. Leonetti, 2021, IEEE Transactions on Medical Robotics and Bionics.

An automatic framework for endoscopic image restoration and enhancement

Alejandro F. Frangi, Hong Song, Jian Yang, 2020, Applied Intelligence.

Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN

Alejandro F Frangi, S. Petersen, S. Piechnik, 2018, IEEE Transactions on Biomedical Engineering.

Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks

Alejandro F. Frangi, Bo Dong, Pau Medrano-Gracia, 2016, SASHIMI@MICCAI.

Editorial: Special Issue on Multiscale Modeling and Analysis in Computational Biology and Medicine—Part-1

Alejandro F. Frangi, Jean-Louis Coatrieux, Anushka Michailova, 2011, IEEE Transactions on Biomedical Engineering.

Effects of the Purkinje System and Cardiac Geometry on Biventricular Pacing: A Model Study

Alejandro F. Frangi, Alejandro F Frangi, Rafael Sebastian, 2010, Annals of Biomedical Engineering.

The Purkinje System and Cardiac Geometry: Assessing Their Influence on the Paced Heart

Alejandro F. Frangi, Bart Bijnens, Alejandro F Frangi, 2009, FIMH.

Modeling the influence of the VV delay for CRT on the electrical activation patterns in absence of conduction through the AV node

Alejandro F. Frangi, Gernot Plank, Alejandro F Frangi, 2008, SPIE Medical Imaging.

Assessing influence of conductivity in heart modelling with the aim of studying cardiovascular diseases

Alejandro F. Frangi, Gernot Plank, Alejandro F Frangi, 2008, SPIE Medical Imaging.

Screening for Cognitive Impairment by Model-Assisted Cerebral Blood Flow Estimation

Alejandro F Frangi, A. Venneri, T. Lassila, 2018, IEEE Transactions on Biomedical Engineering.

Robustness of common hemodynamic indicators with respect to numerical resolution in 38 middle cerebral artery aneurysms

Alejandro F. Frangi, Alejandro F Frangi, J. Pozo, 2017, PloS one.

AngioLab: Integrated technology for patient-specific management of intracranial aneurysms

Alejandro F Frangi, I. Larrabide, X. Planes, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Radiology report generation using transformers conditioned with non-imaging data

Alejandro F Frangi, N. Ravikumar, Nurbanu Aksoy, 2023, Medical Imaging.

Origami: Single-cell oriented 3D shape dynamics of folding epithelia from fluorescence microscopy images

Alejandro F Frangi, Ana A. Jones, Alejandro F. Frangi, 2021, bioRxiv.

Three-Dimensional Architecture of Scar and Conducting Channels Based on High Resolution ce-CMR: Insights for Ventricular Tachycardia Ablation

Alejandro F Frangi, J. Brugada, O. Camara, 2013, Circulation. Arrhythmia and electrophysiology.

Multichannel foetal heartbeat detection by combining source cancellation with expectation-weighted estimation of fiducial points

Alejandro F. Frangi, Alejandro F Frangi, Alberto Marzo, 2013, Computing in Cardiology 2013.

Sensitivity Analysis of Mesh Warping and Subsampling Strategies for Generating Large Scale Electrophysiological Simulation Data

Alejandro F. Frangi, Oscar Camara, Alejandro F Frangi, 2011, FIMH.

Agent with Tangent-based Formulation and Anatomical Perception for Standard Plane Localization in 3D Ultrasound

Alejandro F Frangi, Alejandro F. Frangi, N. Ravikumar, 2022, MICCAI.

Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging

Alejandro F. Frangi, Le Zhang, Alejandro F Frangi, 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.

Mixed-Model Noise Removal in 3D MRI via Rotation-and-Scale Invariant Non-Local Means

Xiangyuan Liu, Zhongke Wu, Xingce Wang, 2018, SaMBa@MICCAI.

A probabilistic deep motion model for unsupervised cardiac shape anomaly assessment

Alejandro F Frangi, Alejandro F. Frangi, N. Ravikumar, 2021, Medical Image Anal..

Slice-Based Combination of Rest and Dobutamine-Stress Cardiac MRI Using a Statistical Motion Model to Identify Myocardial Infarction: Validation against Contrast-Enhanced MRI

Alejandro F. Frangi, Boudewijn P. F. Lelieveldt, Johan H. C. Reiber, 2011, FIMH.

Color object recognition via cross-domain learning on RGB-D images

Ling Shao, Alejandro F. Frangi, Fan Zhu, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images

Alejandro F. Frangi, Hervé Delingette, Nicolas Duchateau, 2014, IEEE Transactions on Medical Imaging.

Myocardial Motion Estimation Combining Tissue Doppler and B-mode Echocardiographic Images

Alejandro F. Frangi, Nicolas Duchateau, Mathieu De Craene, 2013, MICCAI.

Integration of Multi-Plane Tissue Doppler and B-Mode Echocardiographic Images for Left Ventricular Motion Estimation

Alejandro F. Frangi, Martino Alessandrini, Jan D'hooge, 2016, IEEE Transactions on Medical Imaging.

Statistical Modeling and Segmentation in Cardiac MRI Using a Grid Computing Approach

Alejandro F. Frangi, Boudewijn P. F. Lelieveldt, Alejandro F Frangi, 2005, EGC.

ICA vs. PCA Active Appearance Models: Application to Cardiac MR Segmentation

Alejandro F. Frangi, Milan Sonka, Boudewijn P. F. Lelieveldt, 2003, MICCAI.

QuantiDOPA: A Quantification Software for Dopaminergic Neurotransmission SPECT

Alejandro F Frangi, Oscar Esteban, María Jesús Ledesma Carbayo, 2014 .

Topo-Geometric Filtration Scheme for Geometric Active Contours and Level Sets: Application to Cerebrovascular Segmentation

Alejandro F. Frangi, Helena Molina-Abril, Alejandro F Frangi, 2014, MICCAI.

Cardiac Medial Modeling and Time-Course Heart Wall Thickness Analysis

Alejandro F. Frangi, Brian B. Avants, Paul A. Yushkevich, 2008, MICCAI.

Computer-aided detection of lung nodules: a review

Alejandro F. Frangi, Gulistan Raja, Alejandro F Frangi, 2019, Journal of Medical Imaging.

High-throughput 3DRA segmentation of brain vasculature and aneurysms using deep learning

Alejandro F Frangi, Alejandro F. Frangi, N. Ravikumar, 2023, Comput. Methods Programs Biomed..

Biomechanical wall properties of human intracranial aneurysms resected following surgical clipping (IRRAs Project).

Alejandro F Frangi, A. Bonafe, K. Lobotesis, 2011, Journal of biomechanics.

Radiomics-Based Assessment of Primary Sjögren's Syndrome From Salivary Gland Ultrasonography Images

Alejandro F Frangi, G. Filippou, A. Vukicevic, 2020, IEEE Journal of Biomedical and Health Informatics.

Alejandro F. Frangi, Xuegang Song, Xiaohua Xiao, 2020, MICCAI.

Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2014, IEEE Transactions on Medical Imaging.

Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations

Jürgen Weese, Alejandro F. Frangi, Christine Toumoulin, 2013, Medical & Biological Engineering & Computing.

Temporal Diffeomorphic Free Form Deformation to Quantify Changes Induced by Left and Right Bundle Branch Block and Pacing

Alejandro F. Frangi, Nicolas Duchateau, Mathieu De Craene, 2012, STACOM.

Efficient 3D Geometric and Zernike Moments Computation from Unstructured Surface Meshes

Alejandro F Frangi, J. Pozo, M. Villa-Uriol, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Simulation and Synthesis in Medical Imaging

Alejandro F. Frangi, Sotirios A. Tsaftaris, Jerry L. Prince, 2018, IEEE Trans. Medical Imaging.

Computerized Medical Imaging and Graphics

Alejandro F Frangi, Joseph E. Burns, M. Urschler, 2022 .

Leptin may play a role in bone microstructural alterations in obese children.

Alejandro F Frangi, R. Eastell, Z. Taylor, 2015, Journal of Clinical Endocrinology and Metabolism.

Hip fracture discrimination using 3D reconstructions from Dual-energy X-ray Absorptiometry

Alejandro F. Frangi, Karl D. Fritscher, Rainer Schubert, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Pancreatic Image Augmentation Based on Local Region Texture Synthesis for Tumor Segmentation

Alejandro F Frangi, Haigen Hu, Q. Guan, 2022, ICANN.

Segment Anything Model for Medical Images?

Alejandro F Frangi, Jiang Liu, Yonghuai Liu, 2023, Medical Image Anal..

The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

Alejandro F Frangi, Manuel R. Freire, M. Tistarelli, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Journal of Cardiovascular Magnetic Resonance Open Access Cardiac Injuries in Blunt Chest Trauma

Alejandro F Frangi, C. Tobon-Gomez, B. Bijnens, 2022 .

Quantification of 1H–MRS signals based on sparse metabolite profiles in the time‐frequency domain

Alejandro F Frangi, H. Saligheh Rad, Mohsen Parto Dezfouli, 2017, NMR in biomedicine.

Complex wavelets for registration of tagged MRI sequences

Alfred O. Hero, Alejandro F. Frangi, Alejandro F Frangi, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography

Alejandro F. Frangi, Alejandro F Frangi, Peng Yang, 2022, Medical Image Anal..

PATCH-IQ: A patch based learning framework for blind image quality assessment

Ling Shao, Alejandro F. Frangi, Alejandro F Frangi, 2017, Inf. Sci..

Automatic Assessment of Eye Blinking Patterns through Statistical Shape Models

Alejandro F. Frangi, Constantine Butakoff, Alejandro F Frangi, 2009, ICVS.

Multi-view face segmentation using fusion of statistical shape and appearance models

Alejandro F. Frangi, Constantine Butakoff, Alejandro F Frangi, 2010, Comput. Vis. Image Underst..

Joint Clustering and Component Analysis of Spatio-Temporal Shape Patterns in Myocardial Infarction

Alejandro F. Frangi, Ali Gooya, Alejandro F Frangi, 2015, STACOM@MICCAI.

Precision Imaging: more descriptive, predictive and integrative imaging

Alejandro F Frangi, Z. Taylor, A. Gooya, 2016, Medical Image Anal..

Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets

Alejandro F. Frangi, Alejandro F Frangi, Le Zhang, 2019, MICCAI.

Estimating Continuous 4D Wall Motion of Cerebral Aneurysms from 3D Rotational Angiography

Alejandro F. Frangi, Mathieu De Craene, Alejandro F Frangi, 2009, MICCAI.

Interdisciplinary research: shaping the healthcare of the future

Alejandro F Frangi, Alejandro F. Frangi, S. Smye, 2021, Future Healthcare Journal.

Correction to: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018

Alejandro F. Frangi, Gabor Fichtinger, Christos Davatzikos, 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018.

A Vision and Strategy for the VPH in 2010 and beyond

Alfio Quarteroni, Jesper Tegnér, Marco Viceconti, 2010 .

MULTI-X, a State-of-the-Art Cloud-Based Ecosystem for Biomedical Research

Alejandro F. Frangi, Alejandro F Frangi, Marco Pereañez, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Sequence MRI using Texture-Based Regression

Alejandro F. Frangi, Alejandro F Frangi, P. Armitage, 2018 .

Sparse Statistical Deformation Model for the Analysis of Craniofacial Malformations in the Crouzon Mouse

Tron A. Darvann, Nuno V. Hermann, Per Larsen, 2007, SCIA.

Construction of a statistical atlas of the whole heart from a large 4D CT database

Alejandro F Frangi, A. F. Frangi, K. Lekadir, 2012, 2012 Computing in Cardiology.

Multi-modal Synthesis of ASL-MRI Features with KPLS Regression on Heterogeneous Data

Alejandro F. Frangi, Alejandro F Frangi, Toni Lassila, 2018, MICCAI.

Multiview diffeomorphic registration: Application to motion and strain estimation from 3D echocardiography

Alejandro F. Frangi, Cheng Yao, Graeme P. Penney, 2013, Medical Image Anal..

Automatic Construction of 3D-ASM Intensity Models by Simulating Image Acquisition: Application to Myocardial Gated SPECT Studies

Alejandro F. Frangi, Constantine Butakoff, Alejandro F Frangi, 2008, IEEE Transactions on Medical Imaging.