J. Sanches

发表

Automated stratification of liver disease in ultrasound: An online accurate feature classification paradigm

Nilanjan Dey, Jasjit S. Suri, Amira S. Ashour, 2016, Comput. Methods Programs Biomed..

A 3D Graph-Cut based Algorithm for Evaluating Carotid Plaque Echogenicity and Texture

J. Sanches, J. Seabra, 2009 .

Classification and Staging of Chronic Liver Disease Based on Ultrasound, Laboratorial, and Clinical Data

Ricardo T. Ribeiro, J. Suri, J. Sanches, 2012 .

Fluorescence Confocal Microscopy Imaging denoising with photobleaching

J. Sanches, I. Rodrigues, J. Xavier, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Classifier-assisted metric for chromosome pairing

R. Ventura, J. Sanches, A. Khmelinskii, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

A Novel Metric for Bone Marrow Cells Chromosome Pairing

Rodrigo Ventura, João M. Sanches, Artem Khmelinskii, 2010, IEEE Transactions on Biomedical Engineering.

Automatic chromosome pairing using mutual information

R. Ventura, J. Sanches, A. Khmelinskii, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Ultrasound Imaging

A. Laine, J. Suri, J. Sanches, 2012, Springer US.

Geometrical compensation for protein expression profiling in fluorescence microscopy

J. Sanches, R. Seruca, Sofia Esménio, 2013 .

Quantification of mutant E-cadherin using bioimaging analysis of in situ fluorescence microscopy. A new approach to CDH1 missense variants

J. Sanches, R. Seruca, Soraia Melo, 2014, European Journal of Human Genetics.

Atheromatic TM : Symptomatic vs . Asymptomatic Classification Of Carotid Ultrasound Plaque using a combination of HOS , DWT & Texture U

Oliver Faust, Jasjit S Suri, Ang Peng Chuan Alvin, .

Ultrasound Profile of Carotid Plaque: A New Approach Towards Stroke Prediction

J. Sanches, J. Seabra, L. Pedro, 2014 .

Ultrasonographic characterization and identification of symptomatic carotid plaques

Joao Sanches, Jose Seabra, J. Sanches, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Photobleaching/Photoblinking Differential Equation Model for Fluorescence Microscopy Imaging

J. Sanches, I. Rodrigues, 2013, Microscopy and Microanalysis.

Total variation with automatic hyper-parameter estimation

Joao Sanches, Jacinto Nascimento, J. Sanches, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A MAP estimation algorithm with Gibbs prior using an IIR filter

J. Marques, J. Sanches, 2003 .

A recursive filter for 3 D MAP reconstruction

J. Marques, J. Sanches, 2002 .

New Bayesian Joint Detection and Estimation in Functional MRI

J. Sanches, D. Afonso, M. Lauterbach, 2007 .

The Curvelet Approach for Denoising in various Imaging Modalities using Different Shrinkage Rules

J. Sanches, J. Lee, Jianming Lu, 2020 .

Adaptive Order Non-Convex Lp-norm Regularization in Image Restoration

J. Sanches, M. Afonso, J. Miguel Sanches, 2017 .

Blind Inpainting after Log Transformation using Total Variation

J. Sanches, M. Afonso, 2014 .

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence

Aditya M. Sharma, David W. Sobel, Gopal S. Tandel, 2021, Computers in Biology and Medicine.

2083667 Online System For Liver Disease Classification In Ultrasound

Jasjit S. Suri, Sayan Chakraborty, Sourav Samanta, 2015 .

How to Use SNP_TATA_Comparator to Find a Significant Change in Gene Expression Caused by the Regulatory SNP ofThis Gene’s Promoter via a Change in Affinity of the TATA-Binding Protein forThis Promoter

J. Suri, J. Sanches, A. Giorgetti, 2016 .

Investigation of face processing mechanisms in the brain using fMRI

Fernando Lopes da Silva, J. Sanches, Engenharia Biomédica, 2009 .

Hereditary diffuse gastric cancer: updated clinical practice guidelines.

A. Sporle, D. Huntsman, J. Sanches, 2020, The Lancet. Oncology.

Hereditary Gastric and Breast Cancer Syndromes Related to CDH1 Germline Mutation: A Multidisciplinary Clinical Review

Maria Sofia Fernandes, B. Bonanni, C. la Vecchia, 2020, Cancers.

Liver Tumor Classification based on DCE-MRI Images

J. Sanches, N. Barros, 2010 .

Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization

U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, 2013, Comput. Methods Programs Biomed..

Quantification of topological features in cell meshes to explore E-cadherin dysfunction

J. Sanches, R. Seruca, J. Figueiredo, 2016, Scientific Reports.

Capturing quantitative features of protein expression from in situ fluorescence microscopic images of cancer cell populations

J. Sanches, R. Seruca, Sofia Esménio, 2017 .

Improved EEG-fMRI integration in epilepsy

J. Sanches, A. Leal, M. Leite, 2010 .

Clinical and functional characterization of the CDH1 germline variant c.1679C>G in three unrelated families with hereditary diffuse gastric cancer

M. Urioste, J. Sanches, R. Seruca, 2018, European Journal of Human Genetics.

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm

Jasjit S. Suri, Damodar Reddy Edla, Luca Saba, 2018, Comput. Methods Programs Biomed..

Geometric correction of deformed chromosomes for automatic Karyotyping

Rodrigo Ventura, João M. Sanches, Shadab Khan, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Robust Band Profile Extraction Using Constrained Nonparametric Machine-Learning Technique

Rodrigo Ventura, João M. Sanches, Shadab Khan, 2010, IEEE Transactions on Biomedical Engineering.

Pattern Recognition and Image Analysis

Luisa Micó, Jaime S. Cardoso, João M. Sanches, 2013, Lecture Notes in Computer Science.

Wilson's disease: A new perspective review on its genetics, diagnosis and treatment.

Jasjit S Suri, Anurag Tiwari, Carlo Carcassi, 2019, Frontiers in bioscience.

Image Reconstruction using the Benford Law

João M. Sanches, Jorge S. Marques, J. Marques, 2006, 2006 International Conference on Image Processing.

IMAGE RECONSTRUCTION USINGTHE BENFORD LAW

J. Sanches, 2006 .

Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising

João M. Sanches, Jorge S. Marques, Jacinto C. Nascimento, 2007, IbPRIA.

Estimation of cardiac phases in echographic images using multiple models

João M. Sanches, Jorge S. Marques, Jacinto C. Nascimento, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Chromosome pairing for karyotyping purposes using mutual information

Rodrigo Ventura, João M. Sanches, Artem Khmelinskii, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Data mining framework for fatty liver disease classification in ultrasound: A hybrid feature extraction paradigm.

U Rajendra Acharya, Jasjit S Suri, Ganapathy Krishnamurthi, 2012, Medical physics.

A machine learning approach for single cell interphase cell cycle staging

Maria Sofia Fernandes, J. Sanches, M. Silveira, 2021, Scientific Reports.

Targeting the PI3K Signalling as a Therapeutic Strategy in Colorectal Cancer.

Maria Sofia Fernandes, J. Sanches, R. Seruca, 2018, Advances in experimental medicine and biology.

Corrigendum: Quantification of topological features in cell meshes to explore E-cadherin dysfunction

J. Sanches, R. Seruca, J. Figueiredo, 2016, Scientific Reports.

Preventing E-cadherin aberrant N-glycosylation at Asn-554 improves its critical function in gastric cancer

N Taniguchi, E Miyoshi, J. Sanches, 2016, Oncogene.

Atomic force microscopy and graph analysis to study the P-cadherin/SFK mechanotransduction signalling in breast cancer cells.

J. Sanches, R. Seruca, N. Santos, 2016, Nanoscale.

Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

Harman S. Suri, Aditya M. Sharma, Deepak L. Bhatt, 2020, Reviews in cardiovascular medicine.

SRC inhibition prevents P-cadherin mediated signaling and function in basal-like breast cancer cells

André F. Vieira, J. Sanches, R. Seruca, 2018, Cell Communication and Signaling.

Predicting the Functional Impact of CDH1 Missense Mutations in Hereditary Diffuse Gastric Cancer

Maria Sofia Fernandes, J. Sanches, R. Seruca, 2017, International journal of molecular sciences.

Geometric compensation applied to image analysis of cell populations with morphological variability: a new role for a classical concept

J. Sanches, R. Seruca, J. Ribeiro, 2018, Scientific Reports.

Gamma mixture classifier for plaque detection in intravascular ultrasonic images

Marcos Martin-Fernandez, Gonzalo Vegas-Sanchez-Ferrero, Jose Seabra, 2014, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

Noise Decomposition Using Polynomial Approximation

J. Miguel Sanches, Manya V. Afonso, J. Sanches, 2015, IbPRIA.

A total variation recursive space-variant filter for image denoising

João Miguel Raposo Sanches, Manya V. Afonso, J. Sanches, 2015, Digit. Signal Process..

Image reconstruction under multiplicative speckle noise using total variation

J. Miguel Sanches, M. Afonso, J. Sanches, 2015, Neurocomputing.

Neuronal electrical activity, energy consumption and mitochondrial ATP restoration dynamics: A physiological based model for FMRI

João M. Sanches, Rita Gafaniz, J. Sanches, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review

Mainak Biswas, Vijay Viswanathan, Narendra N. Khanna, 2020, Computers in Biology and Medicine.

An Ultrasonographic Risk Score For Detecting Symptomatic Carotid Atherosclerotic Plaques

J. Miguel Sanches, José C. R. Seabra, Luis M. Pedro, 2015, IEEE Journal of Biomedical and Health Informatics.

Optimal Sampling and Estimation in PASL Perfusion Imaging

Patricia Figueiredo, João M. Sanches, Inês Sousa, 2011, IEEE Transactions on Biomedical Engineering.

Bayesian fisher information criterion for sampling optimization in ASL-MRI

Patricia Figueiredo, João M. Sanches, Inês Sousa, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Plaque Tissue Characterization and Classification in Ultrasound Carotid Scans: A Paradigm for Vascular Feature Amalgamation

U. Rajendra Acharya, Subbhuraam Vinitha Sree, Jasjit S. Suri, 2013, IEEE Transactions on Instrumentation and Measurement.

Assessment of Obstructive Sleep Apnea Syndrome by spectral analysis of physiological parameters

Joao Sanches, J. Sanches, A. Coito, 2011, 1st Portuguese Biomedical Engineering Meeting.

Camera-based Photoplethysmography (cbPPG) using smartphone rear and frontal cameras: an experimental study

J. Sanches, Afonso Raposo, Hugo Silva, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Hypnogram and Sleep Parameter Computation From Activity and Cardiovascular Data

Teresa Paiva, Alexandre Domingues, J. Miguel Sanches, 2014, IEEE Transactions on Biomedical Engineering.

ATP consumption and neural electrical activity: A physiological model for brain imaging

Rita Gafaniz, J. Miguel Sanches, J. Sanches, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

The Papoulis-Gerchberg Algorithm with Unknown Signal Bandwidth

João M. Sanches, Jorge S. Marques, Manuel Marques, 2006, ICIAR.

Convex Total Variation Denoising of Poisson Fluorescence Confocal Images With Anisotropic Filtering

Isabel C. Rodrigues, João Miguel Raposo Sanches, J. Sanches, 2011, IEEE Transactions on Image Processing.

Photoblinking/photobleaching differential equation model for intensity decay of fluorescence microscopy images

Isabel C. Rodrigues, João Miguel Raposo Sanches, J. Sanches, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Fluorescence microscopy imaging denoising with log-Euclidean priors and photobleaching compensation

João M. Sanches, Isabel Rodrigues, J. Sanches, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Temporal 2D reconstruction of cell nucleus from Fluorescence Confocal Microscopy images with anisotropic filtering

Joao Sanches, Isabel Rodrigues, J. Sanches, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Topographic EEG brain mapping before, during and after Obstructive Sleep Apnea Episodes

João M. Sanches, Teresa Paiva, David Belo, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization

Jasjit S. Suri, João M. Sanches, Damodar Reddy Edla, 2017, Journal of Medical Systems.

Fatty Liver Characterization and Classification by Ultrasound

João M. Sanches, Ricardo T. Ribeiro, Ricardo Ribeiro, 2009, IbPRIA.

State-of-the-art review on deep learning in medical imaging.

Jasjit S Suri, Damodar Reddy Edla, Venkatanareshbabu Kuppili, 2019, Frontiers in bioscience.

Medical Image Noise Reduction Using the Sylvester–Lyapunov Equation

João M. Sanches, Jorge S. Marques, Jacinto C. Nascimento, 2008, IEEE Transactions on Image Processing.

Ultrasound Liver Surface and Textural Characterization for the Detection of Liver Cirrhosis

Jasjit S. Suri, Rui Tato Marinho, J. Miguel Sanches, 2014 .

Denoising of LSFCM images with compensation for the photoblinking/photobleaching effects

J. Sanches, I. Rodrigues, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Scalp EEG Continuous Space ERD/ERS Quantification

Patricia Figueiredo, Vânia Relvas, J. Miguel Sanches, 2013, IbPRIA.

Phase-locking factor in a motor imagery brain-computer interface

Carlos Carreiras, J. Miguel Sanches, Luis Borges de Almeida, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment

J. Suri, U. Acharya, J. Sanches, 2013, Medical & Biological Engineering & Computing.

Atheromatic™: Symptomatic vs. asymptomatic classification of carotid ultrasound plaque using a combination of HOS, DWT & texture

U. Rajendra Acharya, Oliver Faust, Subbhuraam Vinitha Sree, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Novel Graph-Based Approach for Seriation of Mouse Brain Cross-Section from Images

J. Miguel Sanches, Rodrigo Ventura, Saber Sarbazvatan, 2019, IbPRIA.

Sleep and Wakefulness State Detection in Nocturnal Actigraphy Based on Movement Information

João M. Sanches, Teresa Paiva, Alexandre Domingues, 2014, IEEE Transactions on Biomedical Engineering.

Classification and Staging of Chronic Liver Disease From Multimodal Data

Rui Tato Marinho, J. Miguel Sanches, Ricardo T. Ribeiro, 2013, IEEE Transactions on Biomedical Engineering.

Clinical and functional characterization of the CDH1 germline variant c.1679C>G in three unrelated families with hereditary diffuse gastric cancer

M. Urioste, J. Sanches, R. Seruca, 2018, European Journal of Human Genetics.

A CAD system for atherosclerotic plaque assessment

Jasjit S. Suri, David Afonso, J. Miguel Sanches, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Author Correction to: Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization

Jasjit S. Suri, Damodar Reddy Edla, Luca Saba, 2017, Journal of Medical Systems.

Data mining framework for fatty liver disease classification in ultrasound: A hybrid feature extraction paradigm.

Jasjit S Suri, Ganapathy Krishnamurthi, Rui Tato Marinho, 2012, Medical physics.

Ultrasound Imaging: Advances and Applications

Joao Sanches, J. Sanches, 2011 .

Ultrasound Plaque Enhanced Activity Index for Predicting Neurological Symptoms

João M. Sanches, Luís Mendes Pedro, José C. R. Seabra, 2011, IbPRIA.

Three-Dimensional Ultrasonic Assessment of Atherosclerotic Plaques

João M. Sanches, Luís Mendes Pedro, José C. R. Seabra, 2007, IbPRIA.

Activity Index: A Tool to Identify Active Carotid Plaques

J. Sanches, J. Seabra, I. Gonçalves, 2012 .

A Rayleigh Mixture Model for IVUS Imaging

Petia Radeva, Joao Sanches, Francesco Ciompi, 2012 .

An actigraphy heterogeneous mixture model for sleep assessment

Teresa Paiva, Alexandre Domingues, J. Miguel Sanches, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Quantification of topological features in cell meshes to explore E-cadherin dysfunction

Raquel Seruca, Tânia Mestre, Joana Paredes, 2016, Scientific Reports.

A multiscale algorithm for three-dimensional free-hand ultrasound.

João M Sanches, Jorge S Marques, J. Marques, 2002, Ultrasound in medicine & biology.

Interphase Cell Cycle Staging using Deep Learning *

Margarida Silveira, J. Miguel Sanches, Hemaxi Narotamo, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Three-Dimensional Ultrasound Plaque Characterization

Jasjit S. Suri, Joao Sanches, José Seabra, 2012 .

Actigraphy movement classification for sleep / wakefulness discrimination

J. Sanches, T. Paiva, Alexandre Domingues, 2012 .

Sleep/Wakefulness State from Actigraphy

Pedro Pires, João M. Sanches, Teresa Paiva, 2009, IbPRIA.

Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization

J. Suri, U. Acharya, J. Sanches, 2013, Comput. Methods Programs Biomed..

Modeling log-compressed ultrasound images for radio frequency signal recovery

Jose Seabra, Joao Sanches, J. Sanches, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

E-cadherin signal sequence disruption: a novel mechanism underlying hereditary cancer

J. Sanches, R. Seruca, Soraia Melo, 2018, Molecular Cancer.

Joint image registration and volume reconstruction for 3D ultrasound

João M. Sanches, Jorge S. Marques, J. Marques, 2003, Pattern Recognit. Lett..

Alignment-by-reconstruction for 3D ultrasound imaging

João M. Sanches, Jorge S. Marques, J. Marques, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

A 3D Ultrasound algorithm with alignment and nonlinearity compensation

João M. Sanches, Jorge S. Marques, J. Marques, 2002, PRIS.

A Gamma Mixture Model for IVUS Imaging

Gonzalo Vegas-Sánchez-Ferrero, J. Miguel Sanches, Marcos Martín-Fernández, 2014 .

Rayleigh Mixture Model for Plaque Characterization in Intravascular Ultrasound

Petia Radeva, Josepa Mauri, João M. Sanches, 2011, IEEE Transactions on Biomedical Engineering.

EEG spectral power changes before, during and after obstructive sleep apneas

J. Sanches, T. Paiva, A. Coito, 2010 .

A 3-D Ultrasound-Based Framework to Characterize the Echo Morphology of Carotid Plaques

João M. Sanches, José C. R. Seabra, Luis M. Pedro, 2009, IEEE Transactions on Biomedical Engineering.

Three-dimensional labeling of vulnerable regions in carotid plaques using Graph-Cuts

J. Sanches, J. Seabra, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Ultrasound Speckle/Despeckle Image Decomposition for Tissue Analysis

José Seabra, Joao Sanches, J. Sanches, 2012 .

Toward the development of a Web Ultrasonic Plaque Analysis ( WUPA ) Tool

J. Sanches, J. Seabra, 2009 .

Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment

U. Rajendra Acharya, Subbhuraam Vinitha Sree, Jasjit S. Suri, 2013, Medical & Biological Engineering & Computing.

RF Ultrasound Estimation from B-Mode Images

José Seabra, Joao Sanches, J. Sanches, 2012 .