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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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H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

IEEE transactions on medical imaging, 2018-12, Vol.37 (12), p.2663-2674

2018

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IEEE_Xplore

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

IEEE transactions on medical imaging, 2017-04, Vol.36 (4), p.994-1004

2017

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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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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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SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

IEEE transactions on medical imaging, 2018-05, Vol.37 (5), p.1114-1126

2018

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IEEE_Xplore

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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Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound

IEEE transactions on medical imaging, 2019-01, Vol.38 (1), p.180-193

2019

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IEEE_Xplore

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

IEEE transactions on medical imaging, 2016-05, Vol.35 (5), p.1182-1195

2016

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IEEE_Xplore

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2514-2525

2018

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Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection

IEEE transactions on medical imaging, 2019-08, Vol.38 (8), p.1948-1958

2019

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IEEE_Xplore

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

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

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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

2019

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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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ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation

IEEE transactions on medical imaging, 2020-09, Vol.39 (9), p.2806-2817

2020

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IEEE_Xplore

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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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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Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis

International journal for computer assisted radiology and surgery, 2022-12, Vol.17 (12), p.2193-2202

2022

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LRTD: long-range temporal dependency based active learning for surgical workflow recognition

International journal for computer assisted radiology and surgery, 2020-09, Vol.15 (9), p.1573-1584

2020

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CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

IEEE transactions on medical imaging, 2020-05, Vol.39 (5), p.1483-1493

2020

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IEEE_Xplore

Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

IEEE transactions on medical imaging, 2019-11, Vol.38 (11), p.2485-2495

2019

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IEEE_Xplore

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.447-456

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Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention

BMC medical imaging, 2023-07, Vol.23 (1), p.91-91, Article 91

2023

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Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

IEEE transactions on medical imaging, 2020-07, Vol.39 (7), p.2494-2505

2020

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IEEE_Xplore

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

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

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

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

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

SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network

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

Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound

Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection

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

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

Gland segmentation in colon histology images: The glas challenge contest

ψ-Net: Stacking Densely Convolutional LSTMs for Sub-Cortical Brain Structure Segmentation

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

Global Adaptive Transformer for Cross-Subject Enhanced EEG Classification

Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis

LRTD: long-range temporal dependency based active learning for surgical workflow recognition

CANet: Cross-Disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

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