M. Ledesma-Carbayo

发表

Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks

Raúl San José Estépar, G. Washko, D. Bermejo-Peláez, 2020, Scientific Reports.

3D liver segmentation in preoperative CT images using a levelsets active surface method

M. Desco, M. Ledesma-Carbayo, L. Fernandez-de-Manuel, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Coronary Artery Tracking in 3D Cardiac CT Images Using Local Morphological Reconstruction Operators

M. Luengo-Oroz, M. Ledesma-Carbayo, Andrés Santos, 2008, The MIDAS Journal.

A new cardiac motion estimation method based on a spatio-temporal frequency approach and Hough Transform

G. Cristóbal, A. Santos, M. Ledesma-Carbayo, 2006, 2006 Computers in Cardiology.

Alignment of 3D DCE-MRI Abdominal Series for Optimal Quantification of Kidney Function

A. Santos, A. Lundervold, M. Ledesma-Carbayo, 2007, 2007 5th International Symposium on Image and Signal Processing and Analysis.

Extraction of the Coronary Artery Tree in Cardiac Computer Tomographic Images Using Morphological Operators

Miguel A. Luengo-Oroz, María J. Ledesma-Carbayo, Andrés Santos, 2007, FIMH.

Towards a digital model of zebrafish embryogenesis. Integration of cell tracking and gene expression quantification

Carlos Castro-Gonzalez, Camilo Melani, Andres Santos, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Image analysis for understanding embryo development: a bridge from microscopy to biological insights.

M. Luengo-Oroz, M. Ledesma-Carbayo, N. Peyriéras, 2011, Current opinion in genetics & development.

Automated processing of zebrafish imaging data: a survey.

Raphaël Marée, Pierre Geurts, Ralf Mikut, 2013, Zebrafish.

Radial versus longitudinal myocardial deformation from gray-scale echocardiography.

M. Moreno, M. A. Fernández, M. Ledesma-Carbayo, 2007, Ultrasound in medicine & biology.

Automatic Synthesis of Anthropomorphic Pulmonary CT Phantoms

Raúl San José Estépar, Daniel Jimenez-Carretero, Maria J. Ledesma-Carbayo, 2015, bioRxiv.

Morphological tubular extraction applied to coronary artery reconstruction in CT-images

J. J. Gómez-Diego, M. Luengo-Oroz, M. Desco, 2007 .

Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction

A. Vellido, M. Julià-Sapé, C. Arús, 2020, Scientific Reports.

Intraoperative computed tomography imaging for dose calculation in intraoperative electron radiation therapy: Initial clinical observations

M. Desco, M. Ledesma-Carbayo, J. Pascau, 2020, PloS one.

Influence of metabolic syndrome on post-stroke outcome, angiogenesis and vascular function in old rats determined by dynamic contrast enhanced MRI

I. Lizasoain, M. A. Moro, M. Ledesma-Carbayo, 2020, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

Deep learning-based lesion subtyping and prediction of clinical outcomes in COVID-19 pneumonia using chest CT

M. Luengo-Oroz, D. Bermejo-Peláez, M. Ledesma-Carbayo, 2022, Scientific Reports.

Automated Axial Right Ventricle to Left Ventricle Diameter Ratio Computation in Computed Tomography Pulmonary Angiography

Raúl San José Estépar, F. Rybicki, K. Kumamaru, 2015, PloS one.

Multiparametric MR approaches for non-invasive Glioblastoma therapy response follow-up (MAGRes)

A. Vellido, M. Julià-Sapé, C. Arús, 2019 .

Implementation and Performance of Automated Software for Computing Right-to-Left Ventricular Diameter Ratio From Computed Tomography Pulmonary Angiography Images

Raúl San José Estépar, F. Rybicki, T. Cai, 2016, Journal of computer assisted tomography.

Monte Carlo based dose estimation in intraoperative radiotherapy

A. Lallena, J. Cal-Gonzalez, M. Ledesma-Carbayo, 2010, IEEE Nuclear Science Symposuim & Medical Imaging Conference.

Effect of acute hyperglycemia on moderately hypothermic GL261 mouse glioma monitored by T1-weighted DCE MRI

C. Arús, A. Candiota, M. Ledesma-Carbayo, 2014, Magnetic Resonance Materials in Physics, Biology and Medicine.

Unraveling the embryonic fate map through the mechanical signature of cells and their trajectories

Juan Carlos del Alamo, J. M. Goicolea, P. Bourgine, 2021 .

Prediction of Cardiac Resynchronization Therapy Response Using a Lead Placement Score Derived From 4-Dimensional Computed Tomography

E. McVeigh, M. Ledesma-Carbayo, B. Nørgaard, 2022, Circulation. Cardiovascular imaging.

Scar Extension Measured by Magnetic Resonance-Based Signal Intensity Mapping Predicts Ventricular Tachycardia Recurrence After Substrate Ablation in Patients With Previous Myocardial Infarction.

F. Fernández‐Avilés, F. Atienza, J. Bermejo, 2015, JACC. Clinical electrophysiology.

0 On breathing motion compensation in myocardial perfusion imaging

P. Kellman, M. Ledesma-Carbayo, Andrés Santos, 2018 .

New diagnostic and therapeutic approaches to treat ventricular tachycardias originating at the summit of the left ventricle: role of merged hemodynamic-MRI and alternative ablation sources.

F. Fernández‐Avilés, F. Atienza, D. Sánchez-Quintana, 2013, Circulation. Arrhythmia and electrophysiology.

Originating at the Summit of the Left Ventricle : Role of Merged Hemodynamic New Diagnostic and Therapeutic Approaches to Treat Ventricular

F. Fernández‐Avilés, F. Atienza, D. Sánchez-Quintana, 2013 .

Intrapericardial cardiosphere-derived cells hinder epicardial dense scar expansion and promote electrical homogeneity in a porcine post-infarction model

F. Fernández‐Avilés, F. Sánchez-Margallo, M. Ledesma-Carbayo, 2022, Frontiers in Physiology.

4DCT-Derived Endocardial Left Ventricular Torsion Correlates With CMR Tagging-Derived Torsion in the Same Subjects.

E. McVeigh, M. Ledesma-Carbayo, Marcus Y. Chen, 2020, JACC. Cardiovascular imaging.

Title: Digital system augmented by artificial intelligence to interpret bone marrow samples for hematological disease diagnosis Short title: AI-assisted digital system to analyze BMA samples

M. Luengo-Oroz, D. Bermejo-Peláez, M. Ledesma-Carbayo, 2022 .

Surface-driven registration method for the structure-informed segmentation of diffusion MR images

Meritxell Bach Cuadra, María J. Ledesma-Carbayo, Andrés Santos, 2015, NeuroImage.

Autocalibration method for non‐stationary CT bias correction

Raúl San José Estépar, George R. Washko, Gonzalo Vegas-Sánchez-Ferrero, 2018, Medical Image Anal..

Statistical characterization of noise for spatial standardization of CT scans: Enabling comparison with multiple kernels and doses

Raúl San José Estépar, María J. Ledesma-Carbayo, Gonzalo Vegas-Sánchez-Ferrero, 2017, Medical Image Anal..

MBIS: Multivariate Bayesian Image Segmentation tool

Meritxell Bach Cuadra, María J. Ledesma-Carbayo, Andrés Santos, 2014, Comput. Methods Programs Biomed..

Noninvasive identification of epicardial ventricular tachycardia substrate by magnetic resonance-based signal intensity mapping.

Javier Bermejo, Francisco M Sánchez-Margallo, María J Ledesma-Carbayo, 2014, Heart rhythm.

Do the spatial characteristics of myocardial scar tissue determine the risk of ventricular arrhythmias?

Angel Arenal, Esther Pérez-David, Francisco Fernández-Avilés, 2012, Cardiovascular research.

Noninvasive identification of ventricular tachycardia-related conducting channels using contrast-enhanced magnetic resonance imaging in patients with chronic myocardial infarction: comparison of signal intensity scar mapping and endocardial voltage mapping.

Elena Arbelo, Felipe Atienza, Javier Bermejo, 2011, Journal of the American College of Cardiology.

Automatic glaucoma classification using color fundus images based on convolutional neural networks and transfer learning.

Bart Liefers, Alfonso Antón, Gianluca Fatti, 2019, Biomedical optics express.

Automatic motion compensation of free breathing acquired myocardial perfusion data by using independent component analysis

María J. Ledesma-Carbayo, Andrés Santos, Peter Kellman, 2012, Medical Image Anal..

A benchmark for comparison of cell tracking algorithms

Nathalie Harder, Karl Rohr, Guy M. Hagen, 2014, Bioinform..

Pulmonary Artery–Vein Classification in CT Images Using Deep Learning

Raúl San José Estépar, George R. Washko, Daniel Jimenez-Carretero, 2018, IEEE Transactions on Medical Imaging.

Integration of longitudinal deep-radiomics and clinical data improves the prediction of durable benefits to anti-PD-1/PD-L1 immunotherapy in advanced NSCLC patients

D. Bermejo-Peláez, M. Ledesma-Carbayo, A. Muñoz-Barrutia, 2023, Journal of Translational Medicine.

Automated detection of neutropenia using noninvasive video microscopy of superficial capillaries

Arrate Muñoz-Barrutia, Álvaro Sánchez-Ferro, Aurélien Bourquard, 2019, American journal of hematology.

Collaborative intelligence and gamification for on-line malaria species differentiation

Q. Bassat, M. Luengo-Oroz, M. Ledesma-Carbayo, 2019, Malaria Journal.

Adaptive compounding speckle-noise-reduction filter for optical coherence tomography images

Wolfgang Drexler, María J. Ledesma-Carbayo, Andrés Santos, 2021, Journal of biomedical optics.

Effects of Cardiac Stem Cell on Postinfarction Arrhythmogenic Substrate

F. Fernández‐Avilés, F. Sánchez-Margallo, M. Ledesma-Carbayo, 2022, International journal of molecular sciences.

MIA - A free and open source software for gray scale medical image analysis

María J. Ledesma-Carbayo, Thomas Hierl, Peter Kellman, 2013, Source Code for Biology and Medicine.

Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE) pdf

Nima Tajbakhsh, Miguel Cazorla, Raúl San José Estépar, 2020, ArXiv.

ssessment of 3 D DCE-MRI of the kidneys using non-rigid image registration nd segmentation of voxel time courses rank

Arvid Lundervold, María J. Ledesma-Carbayo, Andrés Santos, 2009 .

Multipurpose Monte Carlo simulator for photon transport in turbid media

M. Desco, J. Vaquero, A. Santos, 2009, 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC).

Spatio-temporal nonrigid registration for ultrasound cardiac motion estimation

Michael Unser, Andrés Santos, María J. Ledesma-Carbayo, 2005, IEEE Transactions on Medical Imaging.

Imaging left ventricular tissue mechanics and hemodynamics during supine bicycle exercise using a combined tagging and phase‐contrast MRI pulse sequence

E. McVeigh, S. Sampath, M. Ledesma-Carbayo, 2011, Magnetic resonance in medicine.

Right ventricle segmentation from cardiac MRI: A collation study

Daniel Rueckert, Maria A. Zuluaga, Sébastien Ourselin, 2015, Medical Image Anal..

Detection of Motor Impairment in Parkinson's Disease Via Mobile Touchscreen Typing

Ian Butterworth, María J. Ledesma-Carbayo, Carlos S. Mendoza, 2017, IEEE Transactions on Biomedical Engineering.

A clinical method for mapping and quantifying blood stasis in the left ventricle.

David Pastor-Escuredo, Karen May-Newman, Javier Bermejo, 2016, Journal of biomechanics.

Diffantom: Whole-Brain Diffusion MRI Phantoms Derived from Real Datasets of the Human Connectome Project

Meritxell Bach Cuadra, María J. Ledesma-Carbayo, Andrés Santos, 2015, bioRxiv.

Detecting Motor Impairment in Early Parkinson’s Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting

Michele Matarazzo, Álvaro Sánchez-Ferro, Luca Giancardo, 2018, Journal of medical Internet research.

Emphysema classification using a multi-view convolutional network

Raúl San José Estépar, María J. Ledesma-Carbayo, David Bermejo-Peláez, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Prediction of CRT Response Using a Lead Placement Score Derived from 4DCT

E. McVeigh, M. Ledesma-Carbayo, A. Sommer, 2022, medRxiv.

Real-Time Digital Timing in Positron Emission Tomography

M. Desco, P. Guerra, G. Kontaxakis, 2008, IEEE Transactions on Nuclear Science.

Real-Time Digital Timing in

Manuel Desco, Maria J. Ledesma-Carbayo, Juan Jose Vaquero, 2008 .

Increasing temporal resolution of 3D transesophageal ultrasound by rigid body registration of sequential, temporally offset sequences

María J. Ledesma-Carbayo, Andrés Santos, Elliot R. McVeigh, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Motion corrected free‐breathing delayed‐enhancement imaging of myocardial infarction using nonrigid registration

Peter Kellman, E. McVeigh, P. Kellman, 2007, Journal of magnetic resonance imaging : JMRI.

Myocardial perfusion assessment with contrast echocardiography

Andres Santos, Manuel Desco, Norberto Malpica, 2001, SPIE Medical Imaging.

Classification of Interstitial Lung Abnormality Patterns with an Ensemble of Deep Convolutional Neural Networks

Raúl San José Estépar, G. Washko, D. Bermejo-Peláez, 2020, Scientific Reports.

The role of elastic restoring forces in right-ventricular filling.

F. Fernández‐Avilés, J. Bermejo, R. Yotti, 2015, Cardiovascular research.

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.

Assembling models of embryo development: image analysis and the construction of digital atlases.

Nadine Peyriéras, Andrés Santos, María J Ledesma-Carbayo, 2012, Birth defects research. Part C, Embryo today : reviews.

Combined Myocardial Motion Estimation and Segmentation Using Variational Techniques

Gabriel Cristóbal, Maria J. Ledesma-Carbayo, Andres Santos, 2009 .

Respiratory motion correction in PET with super-resolution techniques and non-rigid registration

D. Visvikis, F. Lamare, M.J. Ledesma-Carbayo, 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

Cardiac motion analysis from ultrasound sequences using nonrigid registration: validation against Doppler tissue velocity.

M Desco, M A García-Fernández, A Santos, 2006, Ultrasound in medicine & biology.

A Digital Framework to Build, Visualize and Analyze a Gene Expression Atlas with Cellular Resolution in Zebrafish Early Embryogenesis

Andrés Santos, Miguel A. Luengo-Oroz, Louise Duloquin, 2014, PLoS Comput. Biol..

Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis

M. Ledesma-Carbayo, R. Sanchez-Jacob, E. López-Varela, 2023, Medical Imaging.

3D-Printed Portable Robotic Mobile Microscope for Remote Diagnosis of Global Health Diseases

Juan Enrique Ortuño, Miguel Luengo-Oroz, Jaime García-Villena, 2021, Electronics.

Remote Monitoring of Treatment Response in Parkinson's Disease: The Habit of Typing on a Computer

Michele Matarazzo, Álvaro Sánchez-Ferro, Luca Giancardo, 2019, Movement disorders : official journal of the Movement Disorder Society.

DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data

María J. Ledesma-Carbayo, Andrés Santos, Carles Arús, 2013, BMC Bioinformatics.

Iterative image reconstruction for clinical PET using ordered subsets, median root prior, and a web-based interface.

George Kontaxakis, Andrés Santos, Ludwig G Strauss, 2002, Molecular imaging and biology : MIB : the official publication of the Academy of Molecular Imaging.

Feasibility assessment of the interactive use of a Monte Carlo algorithm in treatment planning for intraoperative electron radiation therapy

Andrés Santos, J. A. Santos-Miranda, Raúl Rodríguez, 2014, Physics in medicine and biology.

Respiratory gated SPAMM sequence for magnetic resonance cardiac tagging

M.J. Ledesma-Carbayo, A. Santos, M. Desco, 2006, 2006 Computers in Cardiology.

A New Workflow for Image-Guided Intraoperative Electron Radiotherapy Using Projection-Based Pose Tracking

María J. Ledesma-Carbayo, Javier Pascau, Juan E. Ortuño, 2020, IEEE Access.

Multiorgan structures detection using deep convolutional neural networks

Raúl San José Estépar, María J. Ledesma-Carbayo, George R. Washko, 2018, Medical Imaging.

Remote analysis of sputum smears for mycobacterium tuberculosis quantification using digital crowdsourcing

Q. Bassat, M. Luengo-Oroz, M. Ledesma-Carbayo, 2022, PloS one.

Assessment of normal and ischaemic myocardium by quantitative M-mode tissue Doppler imaging.

Andrés Santos, Manuel Desco, María J Ledesma-Carbayo, 2002, Ultrasound in medicine & biology.

Motion estimation and segmentation of cardiac magnetic resonance images using variational and level set techniques

Andrés Santos, María J. Ledesma-Carbayo, Gabriel Cristóbal, 2008, 2008 16th European Signal Processing Conference.

Quantification Methods in Contrast Echocardiography

Manuel Desco, Maria J. Ledesma-Carbayo, Andres Santos, 2004 .

Optimal multiresolution 3D level-set method for liver segmentation incorporating local curvature constraints

María J. Ledesma-Carbayo, Andrés Santos, Manuel Desco, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Liver Segmentation and Volume Estimation from Preoperative CT Images in Hepatic Surgical Planning: Application of a Semiautomatic Method Based on 3D Level Sets

Manuel Desco, Javier Pascau, Jose L. Rubio-Guivernau, 2011 .

Segmentation of RV in 4D cardiac MR volumes using region-merging graph cuts

A. Santos, D. Jimenez, O. M. O. Maier, 2012, 2012 Computing in Cardiology.

Stitching Methodology for Whole Slide Low-Cost Robotic Microscope Based on a Smartphone

María J. Ledesma-Carbayo, Lin Lin, Juan E. Ortuño, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Enhancing physicians’ radiology diagnostics of COVID-19’s effects on lung health by leveraging artificial intelligence

Ferran A. Mazaira-Font, M. Ledesma-Carbayo, Óscar Gasulla, 2023, Frontiers in Bioengineering and Biotechnology.

Delta-Radiomics Signature For Prediction Of Survival In Advanced Nsclc Patients Treated With Immunotherapy

Arrate Muñoz-Barrutia, María J. Ledesma-Carbayo, B. Farina, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Organ-focused mutual information for nonrigid multimodal registration of liver CT and Gd-EOB-DTPA-enhanced MRI

Andrés Santos, María J. Ledesma-Carbayo, Jan Kybic, 2014, Medical Image Anal..

PETonCHIP: architecture of a on-chip high-resolution, fully digital positron emission tomography scanner for small Animal Imaging

M.J. Ledesma-Carbayo, M. Desco, G. Sportelli, 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

Image processing challenges in the creation of spatiotemporal gene expression atlases of developing embryos

María J. Ledesma-Carbayo, Paul Bourgine, Andrés Santos, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Non-invasive detection of severe neutropenia in chemotherapy patients by optical imaging of nailfold microcirculation

Álvaro Sánchez-Ferro, Benjamin J Vakoc, Aurélien Bourquard, 2018, Scientific Reports.

Harmonization of chest CT scans for different doses and reconstruction methods.

Gonzalo Vegas-Sánchez-Ferrero, Raúl San José Estépar, George R Washko, 2019, Medical physics.

Prone to Supine Surface Based Registration Workflow for Breast Tumor Localization in Surgical Planning

María J. Ledesma-Carbayo, Andrés Santos, Javier Pascau, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Tumor localization using prone to supine surface based registration for breast cancer surgical planning

María J. Ledesma-Carbayo, Andrés Santos, Javier Pascau, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Image analysis for understanding embryo development: a bridge from microscopy to biological insights.

M. Luengo-Oroz, M. Ledesma-Carbayo, Andrés Santos, 2011, Current opinion in genetics & development.

Wavelet-based image fusion in multi-view three-dimensional microscopy

Miguel A. Luengo-Oroz, Louise Duloquin, María J. Ledesma-Carbayo, 2012, Bioinform..

Unsupervised estimation of myocardial displacement from tagged MR sequences using nonrigid registration

Andrés Santos, Manuel Desco, Elliot R McVeigh, 2008, Magnetic resonance in medicine.

$3D+t$ Morphological Processing: Applications to Embryogenesis Image Analysis

P. Bourgine, M. Luengo-Oroz, M. Ledesma-Carbayo, 2012, IEEE Transactions on Image Processing.

Methodology for Reconstructing Early Zebrafish Development From In Vivo Multiphoton Microscopy

Andrés Santos, David Pastor-Escuredo, Miguel A. Luengo-Oroz, 2012, IEEE Transactions on Image Processing.

Image processing challenges in the creation of spatiotemporal gene expression atlases of developing embryos

P. Bourgine, M. Luengo-Oroz, M. Ledesma-Carbayo, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Processing pipeline for digitalizing the lineage tree of early zebrafish embryogenesis from multiharmonic imaging

Miguel A. Luengo-Oroz, Louise Duloquin, María J. Ledesma-Carbayo, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Speckle reduction process based on digital filtering and wavelet compounding in optical coherence tomography for dermatology

Boris Hermann, Wolfgang Drexler, Maria J. Ledesma-Carbayo, 2015, European Conference on Biomedical Optics.

Evaluation of speckle reduction with denoising filtering in optical coherence tomography for dermatology

Boris Hermann, Wolfgang Drexler, María J. Ledesma-Carbayo, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

A SR-NET 3D-to-2D Architecture For Paraseptal Emphysema Segmentation

Raúl San José Estépar, María J. Ledesma-Carbayo, George R. Washko, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Use of semi-synthetic data for catheter segmentation improvement

M. Ledesma-Carbayo, V. Danilov, O. Gerget, 2023, Comput. Medical Imaging Graph..

Ventricular Geometry From Non-contrast Non-ECG-gated CT Scans: An Imaging Marker of Cardiopulmonary Disease in Smokers.

Raúl San José Estépar, Raúl San José Estépar, David A Lynch, 2017, Academic radiology.