陈豪｜江苏大学｜学者主页

2026

坡比对H型竖缝式鱼道水力特征及鲤科鱼类上溯行为的影响

陈豪，程永舟，刘晓平，钟真龙，陈子轩

《水生态学杂志》

2026

内河航电枢纽鱼道形式选择方法的思考

彭哲，刘晓平，刘晓红，张家强，陈豪，刘威

《水运工程》

2026

基于流量调控的竖缝式鱼道出口段优化与生态水力学试验研究

叶玉康，刘晓平，张家强，瞿超雄，陈豪

《水生态学杂志》

2022

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions

Dong Zhang, Yi Lin, Hao Chen, Zhuo-Tao Tian, Xin Yang, Jin-Hui Tang, Kwang-Ting Cheng

arXiv.org

DOI

2022

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

Yu Cai, Hao Chen, Xin Yang, Yu Zhou, Kwang-Ting Cheng

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2022

ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

Zhi-Zhong Chai, Huang-Jing Lin, Lu-Yang Luo, Pheng-Ann Heng, Hao Chen

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2022

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation

Jian-Wei Lin, Jiatai Lin, Chenghao Lu, Hao Chen, Huan Lin, Bing-Chao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Ze-Yan Xu, Biao Huang, Chang-Hong Liang, Guoqiang Han, Zai-Yi Liu, Chu Han

IEEE Transactions on Medical Imaging

DOI

2022

Predicting Tumor Mutation Burden and EGFR Mutation Using Clinical and Radiomic Features in Patients with Malignant Pulmonary Nodules

Wenda Yin, Wei Wang, Chong Zou, Ming Li, Hao Chen, Fanchen Meng, Guozhang Dong, Jie Wang, Qian Yu, Meng-Ting Sun, Lin Xu, Y. Lv, Xiaoxiao Wang, R. Yin

Journal of Personalized Medicine

DOI

2022

AX-Unet: A Deep Learning Framework for Image Segmentation to Assist Pancreatic Tumor Diagnosis

Min-Qiang Yang, Yuhong Zhang, Hao Chen, Wei Wang, Haixu Ni, Xinlong Chen, Zhuoheng Li, Chengsheng Mao

Frontiers in Oncology

DOI

2022

Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images

Xi Wang, Fangyao Tang, Hao Chen, C. Cheung, Pheng-Ann Heng

Medical Image Anal.

DOI

2022

Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning

Hao Chen, Yuhao Ge, Jiahao Wei, Huimin Xiong, Zuo-Zhu Liu

CAAI International Conference on Artificial Intelligence

DOI

2022

Three-Dimensional Multi-Task Deep Learning Model to Detect Glaucomatous Optic Neuropathy and Myopic Features From Optical Coherence Tomography Scans: A Retrospective Multi-Centre Study

An-Ran Ran, Xi Wang, Poemen P. Chan, N. Chan, Wilson W. K. Yip, A. Young, Mandy O M Wong, Hon-Wah Yung, Robert T. Chang, Suria S. Mannil, Y. Tham, Ching-Yu Cheng, Hao Chen, Fei Li, Xiu-Lan Zhang, Pheng-Ann Heng, C. Tham, C. Cheung

Frontiers in Medicine

DOI

2022

Adaptive Fusion of Deep Learning with Statistical Shape Model for Robust Patella Segmentation from CT Images

Jia-Chen Zhao, Tianshu Jiang, Yi Lin, Justin Chan, Ping K. Chan, C. Wen, Hao Chen

Social Science Research Network

DOI

2021

Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network

Lei Wang, Juan Gu, Yize Chen, Yuanbo Liang, W. Zhang, Jiantao Pu, Hao Chen

Pattern Recognition

DOI

2021

Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis

Huang-Jing Lin, Hao Chen, Xi Wang, Qiong Wang, Lian-Sheng Wang, Pheng-Ann Heng

Medical Image Anal.

DOI

2021

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

Xi Wang, Hao Chen, Huiling Xiang, Huang-Jing Lin, Xi Lin, Pheng-Ann Heng

Medical Image Anal.

DOI

2020

Brain tumor segmentation with deep convolutional symmetric neural network

Hao Chen, Zhi-Guang Qin, Yi Ding, Lan Tian, Zhen Qin

Neurocomputing

DOI

2020

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning

Xi Wang, Hao Chen, An-Ran Ran, Lu-Yang Luo, Poemen P. Chan, C. Tham, R. Chang, Suria S. Mannil, C. Cheung, Pheng-Ann Heng

Medical Image Anal.

DOI

2020

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

Xi Wang, Hao Chen, Caixia Gan, Huang-Jing Lin, Q. Dou, E. Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng

IEEE Transactions on Cybernetics

DOI

2020

A Multi-Task Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multi-Centre Analysis

Fangyao Tang, Xi Wang, An-Ran Ran, Carmen K. M. Chan, Maisie Ho, Wilson W. K. Yip, A. Young, Jerry K. H. Lok, Simon K. H. Szeto, Jason C. K. Chan, Fanny L. T. Yip, Raymond Wong, Zi-Qi Tang, Dawei Yang, Danny Ng, Li-Jia Chen, M. Brelen, Victor S C Chu, Ke-ning Li, Tracy H. T. Lai, G. Tan, D. Ting, Haifan Huang, H. Chen, J. H. Ma, Shibo Tang, Theodore Leng, Schahrouz Kakavand, Suria S. Mannil, Robert T. Chang, G. Liew, B. Gopinath, T. Lai, C. Pang, P. Scanlon, T. Wong, C. Tham, Hao Chen, Pheng-Ann Heng, C. Cheung

DOI

2020

Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis

Lihao Liu, Q. Dou, Hao Chen, J. Qin, Pheng-Ann Heng

IEEE Transactions on Medical Imaging

DOI

2019

The Liver Tumor Segmentation Benchmark (LiTS)

Patrick Bilic, P. F. Christ, Eugene Vorontsov, G. Chlebus, Hao Chen, Q. Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, J. Hesser, S. Kadoury, Tomasz K. Konopczynski, Miao Le, Chun-Ming Li, X. Li, Jana Lipková, J. Lowengrub, H. Meine, J. Moltz, C. Pal, M. Piraud, Xiaojuan Qi, Jin Qi, M. Rempfler, Karsten Roth, A. Schenk, A. Sekuboyina, Ping Zhou, Christian Hülsemeyer, M. Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, F. Lohöfer, R. Braren, J. Holch, Felix O. Hofmann, W. Sommer, V. Heinemann, C. Jacobs, G. Mamani, B. van Ginneken, G. Chartrand, A. Tang, Michal Drozdzal, Avi Ben-Cohen, E. Klang, M. Amitai, E. Konen, H. Greenspan, Johan Moreau, A. Hostettler, L. Soler, R. Vivanti, Adi Szeskin, N. Lev-Cohain, J. Sosna, Leo Joskowicz, Bjoern H Menze, ZENGMING SHEN

Medical Image Anal.

DOI

2019

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis

Lu-Yang Luo, Hao Chen, Xi Wang, Q. Dou, Huang-Jing Lin, Juan Zhou, Gong-Jie Li, Pheng-Ann Heng

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

Computed tomography image reconstruction from few views via Log-norm total variation minimization

Yuli Sun, Hao Chen, Jinxu Tao, Lin Lei

Digit. Signal Process.

DOI

2019

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

Yue-Ming Jin, Huaxia Li, Q. Dou, Hao Chen, J. Qin, Chi-Wing Fu, Pheng-Ann Heng

Medical Image Anal.

DOI

2019

Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

X. Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng

IEEE Transactions on Neural Networks and Learning Systems

DOI

2019

IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation

Yanning Zhou, Hao Chen, Jiaqi Xu, Q. Dou, Pheng-Ann Heng

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

PRSNet: Part Relation and Selection Network for Bone Age Assessment

Yuanfeng Ji, Hao Chen, Dan Lin, Xiaohua Wu, Di Lin

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening

Xi Wang, Hao Chen, Lu-Yang Luo, An-Ran Ran, Poemen P. Chan, C. Tham, C. Cheung, Pheng-Ann Heng

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis

Zixu Zhao, Huang-Jing Lin, Hao Chen, Pheng-Ann Heng

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification

Cheng Xue, Q. Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng

IEEE International Symposium on Biomedical Imaging

DOI

2019

A Multi-organ Nucleus Segmentation Challenge

Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, O. Onder, E. Tsougenis, Hao Chen, Pheng-Ann Heng, Jia-Hui Li, Zhi-Qiang Hu, Yun-Zhi Wang, Navid Alemi Koohbanani, M. Jahanifar, Neda Zamani Tajeddin, A. Gooya, N. Rajpoot, Xuhua Ren, Si-Hang Zhou, Qian Wang, D. Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, A. Mahbod, G. Schaefer, I. Ellinger, R. Ecker, Ö. Smedby, Chun-Liang Wang, Benjamin Chidester, That-Vinh Ton, M. Tran, Jian Ma, M. Do, S. Graham, Q. D. Vu, J. T. Kwak, Akshaykumar Gunda, R. Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison Q. O'Neil, Dennis Eschweiler, J. Stegmaier, Yanping Cui, Bao-Cai Yin, Kailin Chen, Xin-Mei Tian, P. Gruening, Erhardt Barth, E. Arbel, Itay Remer, A. Ben-Dor, E. Sirazitdinova, M. Kohl, Stefan Braunewell, Yue-Xiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, J. Choo, Adrián Colomer, V. Naranjo, Linmin Pei, K. Iftekharuddin, Kaushiki Roy, D. Bhattacharjee, A. Pedraza, M. G. Bueno, S. Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yu-Qing Wang, Amit Sethi

IEEE Transactions on Medical Imaging

DOI

2019

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

Xueying Shi, Q. Dou, Cheng Xue, J. Qin, Hao Chen, Pheng-Ann Heng

MLMI@MICCAI

DOI

2019

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning

Q. Dou, Cheng Chen, C. Ouyang, Hao Chen, Pheng-Ann Heng

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

DOI

2019

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Cheng Chen, Q. Dou, Yue-Ming Jin, Hao Chen, J. Qin, Pheng-Ann Heng

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2019

PATIENT-LEVEL CLASSIFICATION FOR BREAST CANCER METASTASES

Zixu Zhao, Huang-Jing Lin, Hao Chen, Pheng-Ann Heng

2018

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation

Cheng Chen, Q. Dou, Hao Chen, Pheng-Ann Heng

MLMI@MICCAI

DOI

2018

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

Q. Dou, C. Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng

International Joint Conference on Artificial Intelligence

DOI

2018

HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation

Yi-Jie Huang, Q. Dou, Zi-Xian Wang, Li-Zhi Liu, Li-Sheng Wang, Hao Chen, Pheng-Ann Heng, Rui-Hua Xu

IEEE International Symposium on Biomedical Imaging

DOI

2018

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

S. Graham, Hao Chen, Jevgenij Gamper, Q. Dou, Pheng-Ann Heng, David R. J. Snead, Yee-Wah Tsang, N. Rajpoot

Medical Image Anal.

DOI

2018

3D multi‐scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi‐modality MR Images

Xiaomeng Li, Q. Dou, Hao Chen, Chi-Wing Fu, Xiaojuan Qi, D. Belavy, G. Armbrecht, D. Felsenberg, Guoyan Zheng, Pheng-Ann Heng

Medical Image Anal.

DOI

2018

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng

British Machine Vision Conference

2018

MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis

Lihao Liu, Q. Dou, Hao Chen, I. E. Olatunji, J. Qin, Pheng-Ann Heng

DLMIA/ML-CDS@MICCAI

DOI

2018

3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation

Yi-Jie Huang, Q. Dou, Zi-Xian Wang, Li-Zhi Liu, Ying Jin, Chao-Feng Li, Lisheng Wang, Hao Chen, Rui-Hua Xu

IEEE Transactions on Cybernetics

DOI

2018

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

Q. Dou, C. Ouyang, Cheng Chen, Hao Chen, Ben Glocker, X. Zhuang, Pheng-Ann Heng

arXiv.org

2017

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

G. Zheng, Chengwen Chu, D. Belavy, B. Ibragimov, Robert Korez, Tomaž Vrtovec, Hugo Hutt, Richard Everson, J. Meakin, Isabel Lopez Andrade, Ben Glocker, Hao Chen, Q. Dou, Pheng-Ann Heng, Chun-Liang Wang, D. Forsberg, A. Neubert, J. Fripp, Martin Urschler, Darko Štern, M. Wimmer, A. A. Novikov, Hui-Quan Cheng, G. Armbrecht, Dieter Felsenberg, Shuo Li

Medical Image Anal.

DOI

2017

Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images

Lequan Yu, Xin Yang, Hao Chen, J. Qin, Pheng-Ann Heng

AAAI Conference on Artificial Intelligence

DOI

2017

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

Xiaomeng Li, Hao Chen, Xiaojuan Qi, Q. Dou, Chi-Wing Fu, Pheng-Ann Heng

arXiv.org

2017

Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning

Q. Dou, Hao Chen, Yue-Ming Jin, Huang-Jing Lin, J. Qin, Pheng-Ann Heng

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2017

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

Q. Dou, Hao Chen, Lequan Yu, J. Qin, Pheng-Ann Heng

IEEE Transactions on Biomedical Engineering

DOI

2017

SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction

Yanning Zhou, Q. Dou, Hao Chen, J. Qin, Pheng-Ann Heng

AAAI Conference on Artificial Intelligence

DOI

2017

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

Hao Chen, Xiaojuan Qi, Lequan Yu, Q. Dou, J. Qin, Pheng-Ann Heng

Medical Image Anal.

DOI

2017

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

Hao Chen, Q. Dou, Lequan Yu, J. Qin, Pheng-Ann Heng

NeuroImage

DOI

2017

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images

Hao Chen, Q. Dou, Lequan Yu, J. Qin, Lei Zhao, V. Mok, De-Feng Wang, Lin Shi, Pheng-Ann Heng

Deep Learning for Medical Image Analysis

DOI

2017

AGNet: Attention-Guided Network for Surgical Tool Presence Detection

Xiao-Wei Hu, Lequan Yu, Hao Chen, J. Qin, Pheng-Ann Heng

DLMIA/ML-CDS@MICCAI

DOI

2017

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

Q. Dou, Lequan Yu, Hao Chen, Yue-Ming Jin, Xin Yang, J. Qin, Pheng-Ann Heng

Medical Image Anal.

DOI

精选作品

期刊论文

坡比对H型竖缝式鱼道水力特征及鲤科鱼类上溯行为的影响

内河航电枢纽鱼道形式选择方法的思考

基于流量调控的竖缝式鱼道出口段优化与生态水力学试验研究

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions

Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays

ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation

Predicting Tumor Mutation Burden and EGFR Mutation Using Clinical and Radiomic Features in Patients with Malignant Pulmonary Nodules

AX-Unet: A Deep Learning Framework for Image Segmentation to Assist Pancreatic Tumor Diagnosis

Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images

Tooth Defect Segmentation in 3D Mesh Scans Using Deep Learning

Three-Dimensional Multi-Task Deep Learning Model to Detect Glaucomatous Optic Neuropathy and Myopic Features From Optical Coherence Tomography Scans: A Retrospective Multi-Centre Study

Adaptive Fusion of Deep Learning with Statistical Shape Model for Robust Patella Segmentation from CT Images

Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network

Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis

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

Brain tumor segmentation with deep convolutional symmetric neural network

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis

A Multi-Task Deep-Learning System to Classify Diabetic Macular Edema for Different Optical Coherence Tomography Devices: A Multi-Centre Analysis

Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis

The Liver Tumor Segmentation Benchmark (LiTS)

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis

Computed tomography image reconstruction from few views via Log-norm total variation minimization

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation

PRSNet: Part Relation and Selection Network for Bone Age Assessment

Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening

PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis

Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification

A Multi-organ Nucleus Segmentation Challenge

An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

PATIENT-LEVEL CLASSIFICATION FOR BREAST CANCER METASTASES

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation

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

3D multi‐scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi‐modality MR Images

Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model

MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis

3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images

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

Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning

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

SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction

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

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

Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images

AGNet: Attention-Guided Network for Surgical Tool Presence Detection

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