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VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.446-455

2018

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Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

IEEE transactions on biomedical engineering, 2017-07, Vol.64 (7), p.1558-1567

2017

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Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

IEEE transactions on cybernetics, 2020-09, Vol.50 (9), p.3950-3962

2020

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Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains

Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020, Vol.12262, p.475-485

2020

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3D deeply supervised network for automated segmentation of volumetric medical images

Medical image analysis, 2017-10, Vol.41, p.40-54

2017

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Depth-Attentional Features for Single-Image Rain Removal

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.8014-8023

2019

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DCAN: Deep contour-aware networks for object instance segmentation from histology images

Medical image analysis, 2017-02, Vol.36, p.135-146

2017

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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

Medical image analysis, 2019-12, Vol.58, p.101549-101549, Article 101549

2019

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Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images

Journal of magnetic resonance imaging, 2019-10, Vol.50 (4), p.1144-1151

2019

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DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, p.2487-2496

2016

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Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019, Vol.11765, p.605-613

2019

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A Rotation-Invariant Framework for Deep Point Cloud Analysis

IEEE transactions on visualization and computer graphics, 2022-12, Vol.28 (12), p.4503-4514

2022

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Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation

Machine Learning in Medical Imaging, 2018, Vol.11046, p.143-151

2018

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DNF-Net: A Deep Normal Filtering Network for Mesh Denoising

IEEE transactions on visualization and computer graphics, 2021-10, Vol.27 (10), p.4060-4072

2021

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3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016, 2016, p.149-157

2016

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Gland segmentation in colon histology images: The glas challenge contest

Medical image analysis, 2017-01, Vol.35, p.489-502

2017

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Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma

Radiology, 2019-06, Vol.291 (3), p.677-686

2019

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Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Medical image analysis, 2019-12, Vol.58, p.101537-101537, Article 101537

2019

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Multi‐Task Mixture Density Graph Neural Networks for Predicting Catalyst Performance

Advanced functional materials, 2024-11, Vol.34 (45), p.n/a

2024

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Non‐Local Low‐Rank Normal Filtering for Mesh Denoising

Computer graphics forum, 2018-10, Vol.37 (7), p.155-166

2018

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Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation

IEEE journal of biomedical and health informatics, 2021-11, Vol.25 (11), p.4140-4151

2021

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Global Adaptive Transformer for Cross-Subject Enhanced EEG Classification

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.1-1

2023

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Channel-Unet: A Spatial Channel-Wise Convolutional Neural Network for Liver and Tumors Segmentation

Frontiers in genetics, 2019-11, Vol.10, p.1110

2019

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UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification

IEEE journal of biomedical and health informatics, 2020-12, Vol.24 (12), p.3431-3442

2020

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Direction-Aware Spatial Context Features for Shadow Detection

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, p.7454-7462

2018

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VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images

Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

Shape-Aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains

3D deeply supervised network for automated segmentation of volumetric medical images

Depth-Attentional Features for Single-Image Rain Removal

DCAN: Deep contour-aware networks for object instance segmentation from histology images

RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification

Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation

A Rotation-Invariant Framework for Deep Point Cloud Analysis

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation

DNF-Net: A Deep Normal Filtering Network for Mesh Denoising

3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes

Gland segmentation in colon histology images: The glas challenge contest

Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Multi‐Task Mixture Density Graph Neural Networks for Predicting Catalyst Performance

Non‐Local Low‐Rank Normal Filtering for Mesh Denoising

Self-Ensembling Co-Training Framework for Semi-Supervised COVID-19 CT Segmentation

Global Adaptive Transformer for Cross-Subject Enhanced EEG Classification

Channel-Unet: A Spatial Channel-Wise Convolutional Neural Network for Liver and Tumors Segmentation

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification

Direction-Aware Spatial Context Features for Shadow Detection

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