J. Miguel Sanches

发表

E-Cadherin Radial Distribution Characterization for Mutation Detection Purposes

Joana Figueiredo, Sofia Esménio, Raquel Seruca, 2013, IbPRIA.

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).

Hypnogram and Sleep Parameter Computation From Activity and Cardiovascular Data

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

Noise Decomposition Using Polynomial Approximation

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

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

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

The usefulness of ultrasound in the classification of chronic liver disease

Jasjit S. Suri, Rui Tato Marinho, J. Miguel Sanches, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Scalp EEG Continuous Space ERD/ERS Quantification

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

A Gamma Mixture Model for IVUS Imaging

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

An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection

Rui Tato Marinho, J. Miguel Sanches, Ricardo T. Ribeiro, 2014, IEEE Journal of Biomedical and Health Informatics.

Global and local detection of liver steatosis from ultrasound

Rui Tato Marinho, J. Miguel Sanches, Ricardo T. Ribeiro, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones

Pablo Casaseca-de-la-Higuera, Alexandre Domingues, Carlos Alberola-López, 2015, IbPRIA.

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..

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.

Image reconstruction under multiplicative speckle noise using total variation

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

Artificial Intelligence in Radiology : From Image Processing to Diagnosis Inteligência Artificial em Radiologia : Do Processamento de Imagem ao Diagnóstico

João M. Lemos, Jorge S. Marques, Catarina Barata, 2018 .

Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning

Margarida Silveira, J. Miguel Sanches, Hemaxi Narotamo, 2019, IbPRIA.

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.

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.

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.

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.

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.