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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

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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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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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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PU-GAN: A Point Cloud Upsampling Adversarial Network

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.7202-7211

2019

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IEEE_Xplore

Direction-Aware Spatial Context Features for Shadow Detection and Removal

IEEE transactions on pattern analysis and machine intelligence, 2020-11, Vol.42 (11), p.2795-2808

2020

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IEEE_Xplore

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

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

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

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

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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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IEEE_Xplore

Aggregating Attentional Dilated Features for Salient Object Detection

IEEE transactions on circuits and systems for video technology, 2020-10, Vol.30 (10), p.3358-3371

2020

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IEEE_Xplore

Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local Features

IEEE transactions on image processing, 2021-01, Vol.30, p.1-1

2021

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IEEE_Xplore

Learning Gated Non-Local Residual for Single-Image Rain Streak Removal

IEEE transactions on circuits and systems for video technology, 2021-06, Vol.31 (6), p.2147-2159

2021

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IEEE_Xplore

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

IEEE transactions on image processing, 2021, Vol.30, p.1925-1934

2021

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IEEE_Xplore

Joint Bi-layer Optimization for Single-Image Rain Streak Removal

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.2545-2553

2017

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IEEE_Xplore

Deep Texture-Aware Features for Camouflaged Object Detection

IEEE transactions on circuits and systems for video technology, 2023-03, Vol.33 (3), p.1157-1167

2023

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IEEE_Xplore

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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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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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

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

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

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

PU-GAN: A Point Cloud Upsampling Adversarial Network

Direction-Aware Spatial Context Features for Shadow Detection and 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

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

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

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

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

Aggregating Attentional Dilated Features for Salient Object Detection

Single-Image Real-Time Rain Removal Based on Depth-Guided Non-Local Features

Learning Gated Non-Local Residual for Single-Image Rain Streak Removal

Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

Joint Bi-layer Optimization for Single-Image Rain Streak Removal

Deep Texture-Aware Features for Camouflaged Object Detection

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

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

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