Lista de obras - Victor Alves - Dominio Público Uruguay

A Framework for the Automation of Multimodalbrain Connectivity Analyses

A Hitchhiker's Guide to Functional Magnetic Resonance Imaging

artículo científico publicado en 2016

A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies

A hitchhiker's guide to diffusion tensor imaging

artículo científico publicado en 2013

Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks

scientific article published on 20 May 2019

Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI

Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment

scholarly article by Sérgio Pereira et al published 2018 in Lecture Notes in Computer Science

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

artículo científico publicado en 2016

BrainCAT - a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis

artículo científico publicado en 2013

Construction of Functional Brain Connectivity Networks

Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI

scholarly article by Sérgio Pereira et al published 2016 in Lecture Notes in Computer Science

Enabling Data Storage and Availability of Multimodal Neuroimaging Studies—A NoSQL Based Solution

Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction

Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation

artículo científico publicado en 2017

Erratum to: Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data.

artículo científico publicado en 2017

ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

artículo científico publicado en 2018

On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: A preliminary study

scholarly article published 2017

Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data.

artículo científico publicado en 2016

Reducing Computation Time by Monte Carlo Method: An Application in Determining Axonal Orientation Distribution Function

Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information

artículo científico publicado en 2018

The impact of normalization and segmentation on resting-state brain networks

artículo científico publicado en 2015

Lista de obras de Victor Alves

A Framework for the Automation of Multimodalbrain Connectivity Analyses

A Hitchhiker's Guide to Functional Magnetic Resonance Imaging

A Knowledge Representation and Reasoning System for Multimodal Neuroimaging Studies

A hitchhiker's guide to diffusion tensor imaging

Adaptive Feature Recombination and Recalibration for Semantic Segmentation With Fully Convolutional Networks

Adaptive Feature Recombination and Recalibration for Semantic Segmentation: Application to Brain Tumor Segmentation in MRI

Automatic Brain Tumor Grading from MRI Data Using Convolutional Neural Networks and Quality Assessment

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

BrainCAT - a tool for automated and combined functional magnetic resonance imaging and diffusion tensor imaging brain connectivity analysis

Construction of Functional Brain Connectivity Networks

Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI

Enabling Data Storage and Availability of Multimodal Neuroimaging Studies—A NoSQL Based Solution

Enhancing Clinical MRI Perfusion Maps with Data-Driven Maps of Complementary Nature for Lesion Outcome Prediction

Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation

Erratum to: Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data.

ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI

On hierarchical brain tumor segmentation in MRI using fully convolutional neural networks: A preliminary study

Processing Time Reduction: an Application in Living Human High-Resolution Diffusion Magnetic Resonance Imaging Data.

Reducing Computation Time by Monte Carlo Method: An Application in Determining Axonal Orientation Distribution Function

Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information

The impact of normalization and segmentation on resting-state brain networks