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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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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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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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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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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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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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A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study

The Lancet. Digital health, 2022-11, Vol.4 (11), p.e806-e815

2022

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Overlapping radiofrequency ablation planning and robot‐assisted needle insertion for large liver tumors

The international journal of medical robotics + computer assisted surgery, 2019-02, Vol.15 (1), p.e1952-n/a

2019

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Robust Support Matrix Machine for Single Trial EEG Classification

IEEE transactions on neural systems and rehabilitation engineering, 2018-03, Vol.26 (3), p.551-562

2018

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CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation

Information Processing in Medical Imaging, p.682-693

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Global guidance network for breast lesion segmentation in ultrasound images

Medical image analysis, 2021-05, Vol.70, p.101989-101989, Article 101989

2021

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Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification

Medical image analysis, 2021-05, Vol.70, p.102010-102010, Article 102010

2021

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Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis

The Lancet. Digital health, 2019-08, Vol.1 (4), p.e172-e182

2019

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MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

Medical image analysis, 2019-02, Vol.52, p.199-211

2019

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Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references

Medical image analysis, 2022-05, Vol.78, p.102426-102426, Article 102426

2022

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Multi-task recurrent convolutional network with correlation loss for surgical video analysis

Medical image analysis, 2020-01, Vol.59, p.101572-101572, Article 101572

2020

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Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

IEEE journal of biomedical and health informatics, 2017-01, Vol.21 (1), p.65-75

2017

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

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

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

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

Gland segmentation in colon histology images: The glas challenge contest

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

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

A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study

Overlapping radiofrequency ablation planning and robot‐assisted needle insertion for large liver tumors

Robust Support Matrix Machine for Single Trial EEG Classification

CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation

Global guidance network for breast lesion segmentation in ultrasound images

Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification

Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis

MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images

Towards reliable cardiac image segmentation: Assessing image-level and pixel-level segmentation quality via self-reflective references

Multi-task recurrent convolutional network with correlation loss for surgical video analysis

Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos

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