João Miguel Sanches

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Jose SeabraR&D Engineer iMagX UCL-IBA BelgiumEmail confirmado em isr.ist.utl.pt
Raquel SerucaProfessora da Fac. de Medicina, IpatimupEmail confirmado em ipatimup.pt
Rui Tato MarinhoUniversity Hospital of Santa Maria, Medical School of Lisbon, PortugalEmail confirmado em sapo.pt
Jorge S. MarquesInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ. LisboaEmail confirmado em isr.tecnico.ulisboa.pt
Ricardo Teresa RibeiroHESAV, HES-SO |School of Health Sciences, University of Applied Sciences & Arts Western SwitzerlandEmail confirmado em hesav.ch
Manya AfonsoWageningen University and ResearchEmail confirmado em wur.nl
Rajendra AcharyaProfessor of Artificial Intelligence and Computing, University of Southern Queensland, AustraliaEmail confirmado em usq.edu.au
Patrícia FigueiredoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaEmail confirmado em tecnico.ulisboa.pt
Jacinto C. NascimentoInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior TécnicoEmail confirmado em isr.ist.utl.pt
Rodrigo VenturaInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaEmail confirmado em isr.tecnico.ulisboa.pt
Francesco CiompiRadboud University Medical Center, NijmegenEmail confirmado em radboudumc.nl
Artem Khmelinskiiiii). NKI-AvL ii). LKEB, LUMC i). ISR, ISTEmail confirmado em lumc.nl
Muthu Rama Krishnan Mookiah, PhDPostdoctoral Researcher, University of Dundee, Scotland, UKEmail confirmado em dundee.ac.uk
José M. Bioucas DiasInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de Lisboa, PortugalEmail confirmado em lx.it.pt
Martina FonsecaUniversity College LondonEmail confirmado em ucl.ac.uk
Gonzalo Vegas Sánchez-FerreroAssistant Professor, Brigham and Women's Hospital / Harvard Medical SchoolEmail confirmado em bwh.harvard.edu
Celso ReisInstituto de Investigação e Inovação em Saude (I3S). Institute of Molecular Pathology and ImmunologyEmail confirmado em ipatimup.pt
Oriol PujolFull Professor of Computer Science and Artificial Intelligence, Universitat de BarcelonaEmail confirmado em ub.edu
Shadab Khan, Ph.D.M42 HealthEmail confirmado em hsph.harvard.edu
Liliana CaldeiraDepartment of Radiology, University Hospital CologneEmail confirmado em uk-koeln.de

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João Miguel Sanches

Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ Lisboa

Email confirmado em tecnico.ulisboa.pt - Página inicial

Biomedical Engineering Medical Image processing Physiological Modelling


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Hereditary diffuse gastric cancer: updated clinical practice guidelines VR Blair, M McLeod, F Carneiro, DG Coit, JL D'Addario, JM van Dieren, ... The Lancet Oncology 21 (8), e386-e397, 2020	387	2020
State-of-the-art review on deep learning in medical imaging M Biswas, V Kuppili, L Saba, DR Edla, HS Suri, E Cuadrado-Godia, ... Frontiers in Bioscience-Landmark 24 (3), 380-406, 2019	219	2019
Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm M Biswas, V Kuppili, DR Edla, HS Suri, L Saba, RT Marinhoe, ... Computer methods and programs in biomedicine 155, 165-177, 2018	208	2018
Automated stratification of liver disease in ultrasound: an online accurate feature classification paradigm L Saba, N Dey, AS Ashour, S Samanta, SS Nath, S Chakraborty, ... Computer methods and programs in biomedicine 130, 118-134, 2016	153	2016
Medical image noise reduction using the Sylvester–Lyapunov equation JM Sanches, JC Nascimento, JS Marques IEEE transactions on image processing 17 (9), 1522-1539, 2008	145	2008
Preventing E-cadherin aberrant N-glycosylation at Asn-554 improves its critical function in gastric cancer S Carvalho, TA Catarino, AM Dias, M Kato, A Almeida, B Hessling, ... Oncogene 35 (13), 1619-1631, 2016	142	2016
Data mining framework for fatty liver disease classification in ultrasound: a hybrid feature extraction paradigm UR Acharya, SV Sree, R Ribeiro, G Krishnamurthi, RT Marinho, ... Medical physics 39 (7Part1), 4255-4264, 2012	135	2012
Extreme learning machine framework for risk stratification of fatty liver disease using ultrasound tissue characterization V Kuppili, M Biswas, A Sreekumar, HS Suri, L Saba, DR Edla, ... Journal of medical systems 41, 1-20, 2017	133	2017
Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment UR Acharya, MRK Mookiah, S Vinitha Sree, D Afonso, J Sanches, ... Medical & biological engineering & computing 51, 513-523, 2013	131	2013
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 JS Suri, A Puvvula, M Biswas, M Majhail, L Saba, G Faa, IM Singh, ... Computers in biology and medicine 124, 103960, 2020	124	2020
Denoising of medical images corrupted by Poisson noise I Rodrigues, J Sanches, J Bioucas-Dias 2008 15th IEEE international conference on image processing, 1756-1759, 2008	109	2008
Ultrasound imaging JM Sanches, AF Laine, JS Suri Springer, 2012	105	2012
Rayleigh mixture model for plaque characterization in intravascular ultrasound JC Seabra, F Ciompi, O Pujol, J Mauri, P Radeva, J Sanches IEEE Transactions on Biomedical Engineering 58 (5), 1314-1324, 2011	96	2011
Understanding symptomatology of atherosclerotic plaque by image-based tissue characterization UR Acharya, O Faust, APC Alvin, G Krishnamurthi, JCR Seabra, ... Computer methods and programs in biomedicine 110 (1), 66-75, 2013	92	2013
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence JS Suri, S Agarwal, SK Gupta, A Puvvula, M Biswas, L Saba, A Bit, ... Computers in Biology and Medicine 130, 104210, 2021	80	2021
A Rayleigh reconstruction/interpolation algorithm for 3D ultrasound JM Sanches, JS Marques Pattern recognition letters 21 (10), 917-926, 2000	73	2000
Blue intensity matters for cell cycle profiling in fluorescence DAPI-stained images A Ferro, T Mestre, P Carneiro, I Sahumbaiev, R Seruca, JM Sanches Laboratory Investigation 97 (5), 615-625, 2017	71	2017
Classification and staging of chronic liver disease from multimodal data RT Ribeiro, RT Marinho, JM Sanches IEEE transactions on biomedical engineering 60 (5), 1336-1344, 2012	68	2012
Blind Inpainting Using and Total Variation Regularization MV Afonso, JMR Sanches IEEE Transactions on Image Processing 24 (7), 2239-2253, 2015	66	2015
Fatty liver characterization and classification by ultrasound R Ribeiro, J Sanches Pattern Recognition and Image Analysis: 4th Iberian Conference, IbPRIA 2009 …, 2009	66	2009

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