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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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IEEE_Xplore

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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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

Medical image analysis, 2020-10, Vol.65, p.101766-101766, Article 101766

2020

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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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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

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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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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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

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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IEEE_Xplore

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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Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

IEEE transactions on medical imaging, 2017-06, Vol.36 (6), p.1231-1249

2017

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IEEE_Xplore

Editorial: Deep learning for multimodal brain data processing and analysis

Frontiers in neuroscience, 2023-08, Vol.17, p.1264015-1264015

2023

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Potential Anti-Inflammatory Constituents from Aesculus wilsonii Seeds

Molecules (Basel, Switzerland), 2024-03, Vol.29 (5), p.1136

2024

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Leveraging data-driven self-consistency for high-fidelity gene expression recovery

Nature communications, 2022-11, Vol.13 (1), p.7142-7142, Article 7142

2022

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Towards Automatic Semantic Segmentation in Volumetric Ultrasound

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017, p.711-719

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4D‐CT deformable image registration using unsupervised recursive cascaded full‐resolution residual networks

Bioengineering & translational medicine, 2023-11, Vol.8 (6), p.e10587-e10587

2023

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MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

IEEE transactions on medical imaging, 2020-09, Vol.39 (9), p.2713-2724

2020

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Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images

IEEE transactions on medical imaging, 2021-01, Vol.40 (1), p.228-238

2021

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IEEE_Xplore

Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer

Journal for immunotherapy of cancer, 2024-05, Vol.12 (5), p.e008927

2024

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Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study

Journal for immunotherapy of cancer, 2023-11, Vol.11 (11), p.e007807

2023

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Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model

IEEE transactions on medical imaging, 2020-11, Vol.39 (11), p.3429-3440

2020

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IEEE_Xplore

RECIST-induced Reliable Learning: Geometry-driven Label Propagation for Universal Lesion Segmentation

IEEE transactions on medical imaging, 2024-01, Vol.43 (1), p.1-1

2024

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IEEE_Xplore

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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Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis

IEEE transactions on medical imaging, 2020-12, Vol.39 (12), p.4023-4033

2020

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IEEE_Xplore

Automatic detection of cerebral microbleeds via deep learning based 3D feature representation

2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, p.764-767

2015

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IEEE_Xplore

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Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

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

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation

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

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

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

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

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

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

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

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge

Editorial: Deep learning for multimodal brain data processing and analysis

Potential Anti-Inflammatory Constituents from Aesculus wilsonii Seeds

Leveraging data-driven self-consistency for high-fidelity gene expression recovery

Towards Automatic Semantic Segmentation in Volumetric Ultrasound

4D‐CT deformable image registration using unsupervised recursive cascaded full‐resolution residual networks

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images

Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer

Non-invasive CT imaging biomarker to predict immunotherapy response in gastric cancer: a multicenter study

Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model

RECIST-induced Reliable Learning: Geometry-driven Label Propagation for Universal Lesion Segmentation

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

Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis

Automatic detection of cerebral microbleeds via deep learning based 3D feature representation

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