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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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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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Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis

IEEE transactions on medical imaging, 2021-09, Vol.40 (9), p.2284-2294

2021

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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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Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening

IEEE transactions on medical imaging, 2023-03, Vol.42 (3), p.570-581

2023

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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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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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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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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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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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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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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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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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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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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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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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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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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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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

Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis

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

Domain-Incremental Cardiac Image Segmentation With Style-Oriented Replay and Domain-Sensitive Feature Whitening

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

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

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

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

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

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

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

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

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

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