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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.456-470

2018

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Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature

Frontiers in aging neuroscience, 2021-05, Vol.13, p.633752

2021

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Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder

BMC neuroscience, 2017-07, Vol.18 (1), p.52-12, Article 52

2017

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Boundary loss for highly unbalanced segmentation

Medical image analysis, 2021-01, Vol.67, p.101851-101851, Article 101851

2021

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Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images

IEEE transaction on neural networks and learning systems, 2022-01, Vol.33 (1), p.3-11

2022

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Predicting survival time of lung cancer patients using radiomic analysis

Oncotarget, 2017-11, Vol.8 (61), p.104393-104407

2017

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Multi-modal brain fingerprinting: A manifold approximation based framework

NeuroImage (Orlando, Fla.), 2018-12, Vol.183, p.212-226

2018

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Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

IEEE transactions on medical imaging, 2019-09, Vol.38 (9), p.2219-2230

2019

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Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks

Scientific reports, 2023-08, Vol.13 (1), p.13259-13259, Article 13259

2023

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A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome

British journal of radiology, 2016-12, Vol.89 (1068), p.20160575-20160575

2016

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Deep Radiomic Analysis of MRI Related to Alzheimer's Disease

IEEE access, 2018, Vol.6, p.58213-58221

2018

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No-Reference Video Quality Assessment Using Transformers and Attention Recurrent Networks

IEEE access, 2024, Vol.12, p.140671-140680

2024

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Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks

IEEE access, 2019, Vol.7, p.97242-97252

2019

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Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery

PloS one, 2016-02, Vol.11 (2), p.e0149893-e0149893

2016

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No-Reference Video Quality Assessment Using Distortion Learning and Temporal Attention

IEEE access, 2022, Vol.10, p.41010-41022

2022

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Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives

NeuroImage (Orlando, Fla.), 2020-01, Vol.204, p.116208-116208, Article 116208

2020

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Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features

IEEE access, 2019, Vol.7, p.75976-75984

2019

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Brain status modeling with non-negative projective dictionary learning

NeuroImage (Orlando, Fla.), 2020-02, Vol.206, p.116226-116226, Article 116226

2020

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Two-Stream Temporal Convolutional Networks for Skeleton-Based Human Action Recognition

Journal of computer science and technology, 2020-05, Vol.35 (3), p.538-550

2020

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Unbiased Shape Compactness for Segmentation

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, 2017, Vol.10433, p.755-763

2017

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Low-Rank and Sparse Recovery of Human Gait Data

Sensors (Basel, Switzerland), 2020-08, Vol.20 (16), p.4525

2020

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Wearable Devices for Classification of Inadequate Posture at Work Using Neural Networks

Sensors (Basel, Switzerland), 2017-09, Vol.17 (9), p.2003

2017

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Deep co-training for semi-supervised image segmentation

Pattern recognition, 2020-11, Vol.107, p.107269, Article 107269

2020

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Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer

IEEE access, 2020, Vol.8, p.167767-167778

2020

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Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network

Journal of pathology informatics, 2017-01, Vol.8 (1), p.1-1, Article 1

2017

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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature

Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder

Boundary loss for highly unbalanced segmentation

Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images

Predicting survival time of lung cancer patients using radiomic analysis

Multi-modal brain fingerprinting: A manifold approximation based framework

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks

A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome

Deep Radiomic Analysis of MRI Related to Alzheimer's Disease

No-Reference Video Quality Assessment Using Transformers and Attention Recurrent Networks

Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks

Multi Texture Analysis of Colorectal Cancer Continuum Using Multispectral Imagery

No-Reference Video Quality Assessment Using Distortion Learning and Temporal Attention

Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives

Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features

Brain status modeling with non-negative projective dictionary learning

Two-Stream Temporal Convolutional Networks for Skeleton-Based Human Action Recognition

Unbiased Shape Compactness for Segmentation

Low-Rank and Sparse Recovery of Human Gait Data

Wearable Devices for Classification of Inadequate Posture at Work Using Neural Networks

Deep co-training for semi-supervised image segmentation

Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer

Classifications of Multispectral Colorectal Cancer Tissues Using Convolution Neural Network

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