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Hao Chen 0011
Person information

- affiliation: Imsight Medical Technology, Co., Ltd., Shenzhen, China
- affiliation: Chinese University of Hong Kong, Computer Science and Engineering, Hong Kong
Other persons with the same name
- Hao Chen — disambiguation page
- Hao Chen 0001 — Boise State University, ID, USA (and 1 more)
- Hao Chen 0002
— Hunan University, Changsha, China (and 1 more)
- Hao Chen 0003
— University of California, Davis, USA (and 1 more)
- Hao Chen 0004
— Pacific Forestry Centre, Victoria, BC, Canada (and 1 more)
- Hao Chen 0005 — Wuhan University, China
- Hao Chen 0006 — State University of New York, Binghamton, NY, USA
- Hao Chen 0007
— University of Tennessee Health Science Center, Memphis, TN, USA (and 1 more)
- Hao Chen 0008 — University of Sydney
- Hao Chen 0009 — DePaul University, Chicago, USA
- Hao Chen 0010
— Samsung Research America, Inc., Richardson, TX, USA (and 1 more)
- Hao Chen 0012 — Tongji University, Department of Mathematics, Shanghai, China
- Hao Chen 0013
— Beijing University of Posts and Telecommunications, Beijing, China
- Hao Chen 0014
— Harbin Institute of Technology, Department of Information Engineering, China
- Hao Chen 0015
— Chongqing Normal University, School of Mathematics, China (and 1 more)
- Hao Chen 0016
— University of Luxembourg, Luxembourg (and 3 more)
- Hao Chen 0017
— University of Michigan, Ann Arbor, MI, USA (and 1 more)
- Hao Chen 0018
— Shanghai University of Engineering Science, China
- Hao Chen 0019
— Xi'an University of Technology, School of Mechanical & Instrumental Engineering, China
- Hao Chen 0020
— Shanghai Maritime University, China (and 1 more)
- Hao Chen 0021
— University of Waterloo, ON, Canada (and 4 more)
- Hao Chen 0022
— Nanjing University, School of Electronic Science and Engineering, China
- Hao Chen 0023
— University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
- Hao Chen 0024 — Boston University, Department of Electrical and Computer Engineering, MA, USA
- Hao Chen 0025
— China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, China (and 1 more)
- Hao Chen 0026 — Southeast University, National ASIC System Engineering Research Center, Nanjing, China
- Hao Chen 0027 — Zhejiang University, College of Control Science and Engineering, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Hao Chen 0028
— University of Melbourne, Department of Infrastructure Engineering, Parkville, VIC, Canada
- Hao Chen 0029
— Hangzhou Dianzi University, School of Sciences, China (and 1 more)
- Hao Chen 0030
— Microsoft Research, Redmond, WA, USA
- Hao Chen 0031 — Chinese Academy of Sciences, Quanzhou Institute of Equipment Manufacturing, Jinjiang, China (and 1 more)
- Hao Chen 0032 — University of York, UK
- Hao Chen 0033
— Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Hao Chen 0034
— City University of Hong Kong, Department of Mechanical Engineering, Hong Kong
- Hao Chen 0035
— University of Chinese Academy of Sciences, College of Materials Science and Opto-Electronic Technology, Beijing, China
- Hao Chen 0036
— Shanghai Jiao Tong University, Cooperative Medianet Innovation Center, China
- Hao Chen 0037
— University of Twente, Department of Biomechanical Engineering, The Netherlands
- Hao Chen 0038
— Zhejiang University of Technology, College of Information Engineering, Hangzhou, China
- Hao Chen 0039
— Beijing Institute of Technology, School of Automation, China (and 1 more)
- Hao Chen 0040 — Hunan Normal University, Key Laboratory of Low-dimensional Quantum Structures and Quantum Control of Ministry of Education, Changsha, China
- Hao Chen 0041
— University of Adelaide, School of Computer Science, SA, Australia
- Hao Chen 0042
— Central South University of Forestry and Technology, Changsha, China
- Hao Chen 0043
— Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
- Hao Chen 0044
— National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China
- Hao Chen 0045
— Beihang University, School of Astronautics, Beijing, China
- Hao Chen 0046
— National University of Defense Technology, College of Electronic Science, Changsha, China
- Hao Chen 0047
— University of Elctronic Science and Technology of China, Chengdu, China
- Hao Chen 0048
— KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
- Hao Chen 0049
— Xi'an University of Posts and Telecommunications, School of Computer Science and Technology, China
- Hao Chen 0050
— Ningbo University, Faculty of Electrical Engineering and Computer Science, China
- Hao Chen 0051
— Hunan University, College of Computer Science and Electronic Engineering, Changsha, China (and 1 more)
- Hao Chen 0052
— Northeastern University, College of Medicine and Biological Information Engineering, Microscopic Image and Medical Image Analysis Group, Shenyang, China
- Hao Chen 0053 — Taiwan Semiconductor Manufacturing Company, Ltd, Hsinchu, Taiwan
- Hao Chen 0054
— Tsinghua University, Department of Materials Science and Engineering, Beijing, China (and 3 more)
- Hao Chen 0055
— Qingdao University, School of Business, China
- Hao Chen 0056 — Georgia Institute of Technology, Atlanta, GA, USA
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2020 – today
- 2022
- [c38]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng:
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. ISBI 2022: 1-5 - [i40]Hao Jiang, Yanning Zhou, Yi Lin, Ronald C. K. Chan, Jiang Liu, Hao Chen:
Deep Learning for Computational Cytology: A Survey. CoRR abs/2202.05126 (2022) - [i39]Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng:
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification. CoRR abs/2203.09860 (2022) - 2021
- [j36]Huangjing Lin
, Hao Chen, Xi Wang
, Qiong Wang, Liansheng Wang, Pheng-Ann Heng
:
Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis. Medical Image Anal. 69: 101955 (2021) - [j35]Xi Wang
, Hao Chen, Huiling Xiang, Huangjing Lin
, Xi Lin, Pheng-Ann Heng
:
Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification. Medical Image Anal. 70: 102010 (2021) - [j34]Yi-Jie Huang
, Qi Dou
, Zi-Xian Wang, Li-Zhi Liu, Ying Jin, Chao-Feng Li, Lisheng Wang
, Hao Chen
, Rui-Hua Xu:
3-D RoI-Aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. IEEE Trans. Cybern. 51(11): 5397-5408 (2021) - [j33]Xiaomeng Li
, Lequan Yu
, Hao Chen
, Chi-Wing Fu
, Lei Xing
, Pheng-Ann Heng
:
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 32(2): 523-534 (2021) - [c37]Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. MICCAI (2) 2021: 199-209 - [c36]Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays. MICCAI (2) 2021: 537-548 - [i38]Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. CoRR abs/2104.03218 (2021) - [i37]Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. CoRR abs/2104.03225 (2021) - [i36]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. CoRR abs/2104.03265 (2021) - [i35]Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng:
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. CoRR abs/2104.10553 (2021) - 2020
- [j32]Yueming Jin
, Huaxia Li, Qi Dou
, Hao Chen
, Jing Qin
, Chi-Wing Fu
, Pheng-Ann Heng:
Multi-task recurrent convolutional network with correlation loss for surgical video analysis. Medical Image Anal. 59 (2020) - [j31]Xi Wang
, Hao Chen
, An-ran Ran, Luyang Luo
, Poemen P. Chan, Clement C. Tham, Robert T. Chang, Suria S. Mannil, Carol Y. Cheung, Pheng-Ann Heng:
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning. Medical Image Anal. 63: 101695 (2020) - [j30]Fei Wu, Cewu Lu, Mingjie Zhu, Hao Chen
, Jun Zhu, Kai Yu
, Lei Li, Ming Li, Qianfeng Chen, Xi Li, Xudong Cao, Zhongyuan Wang, Zhengjun Zha, Yueting Zhuang, Yunhe Pan:
Towards a new generation of artificial intelligence in China. Nat. Mach. Intell. 2(6): 312-316 (2020) - [j29]Xi Wang
, Hao Chen
, Caixia Gan, Huangjing Lin
, Qi Dou
, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng
:
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis. IEEE Trans. Cybern. 50(9): 3950-3962 (2020) - [j28]Xi Wang
, Fangyao Tang, Hao Chen
, Luyang Luo
, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng
:
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification. IEEE J. Biomed. Health Informatics 24(12): 3431-3442 (2020) - [j27]Lihao Liu
, Qi Dou
, Hao Chen
, Jing Qin
, Pheng-Ann Heng
:
Multi-Task Deep Model With Margin Ranking Loss for Lung Nodule Analysis. IEEE Trans. Medical Imaging 39(3): 718-728 (2020) - [j26]Neeraj Kumar
, Ruchika Verma
, Deepak Anand
, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng
, Jiahui Li, Zhiqiang Hu
, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot
, Xuhua Ren, Sihang Zhou
, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh
, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger
, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma
, Minh N. Do
, Simon Graham, Quoc Dang Vu, Jin Tae Kwak
, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier
, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer
, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo
, Adrián Colomer
, Valery Naranjo, Linmin Pei
, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza
, Maria Gloria Bueno
, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [j25]Cheng Chen
, Qi Dou
, Hao Chen
, Jing Qin
, Pheng-Ann Heng
:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. IEEE Trans. Medical Imaging 39(7): 2494-2505 (2020) - [j24]Luyang Luo
, Lequan Yu
, Hao Chen
, Quande Liu
, Xi Wang
, Jiaqi Xu
, Pheng-Ann Heng
:
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. IEEE Trans. Medical Imaging 39(11): 3583-3594 (2020) - [j23]Yi-Jie Huang
, Weiping Liu, Xiuying Wang
, Qu Fang, Renzhen Wang
, Yi Wang, Huai Chen
, Hao Chen
, Deyu Meng
, Lisheng Wang
:
Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition. IEEE Trans. Medical Imaging 39(12): 3843-3854 (2020) - [c35]Yanning Zhou, Hao Chen, Huangjing Lin
, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. MICCAI (1) 2020: 521-531 - [i34]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. CoRR abs/2002.02255 (2020) - [i33]Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. CoRR abs/2002.09708 (2020) - [i32]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-ray Disease Screening. CoRR abs/2006.03796 (2020) - [i31]Yanning Zhou, Hao Chen, Huangjing Lin, Pheng-Ann Heng:
Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation. CoRR abs/2007.10787 (2020) - [i30]Shujun Wang, Yaxi Zhu, Lequan Yu, Hao Chen, Huangjing Lin, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. CoRR abs/2010.06440 (2020)
2010 – 2019
- 2019
- [j22]Qi Dou
, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7: 99065-99076 (2019) - [j21]Simon Graham, Hao Chen, Jevgenij Gamper, Qi Dou
, Pheng-Ann Heng
, David R. J. Snead, Yee-Wah Tsang, Nasir M. Rajpoot
:
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images. Medical Image Anal. 52: 199-211 (2019) - [j20]Shujun Wang
, Yaxi Zhu, Lequan Yu
, Hao Chen
, Huangjing Lin
, Xiangbo Wan, Xinjuan Fan, Pheng-Ann Heng:
RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification. Medical Image Anal. 58 (2019) - [j19]Xiaowei Hu
, Xuemiao Xu
, Yongjie Xiao, Hao Chen
, Shengfeng He, Jing Qin
, Pheng-Ann Heng
:
SINet: A Scale-Insensitive Convolutional Neural Network for Fast Vehicle Detection. IEEE Trans. Intell. Transp. Syst. 20(3): 1010-1019 (2019) - [j18]Péter Bándi
, Oscar Geessink
, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol
, Meyke Hermsen
, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura
, Vlado Ovtcharov, Shenghua Cheng
, Shaoqun Zeng
, Jeppe Thagaard, Anders B. Dahl
, Huangjing Lin
, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken
, Jeroen van der Laak
, Geert Litjens
:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019) - [j17]Huangjing Lin
, Hao Chen
, Simon Graham
, Qi Dou
, Nasir M. Rajpoot
, Pheng-Ann Heng
:
Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection. IEEE Trans. Medical Imaging 38(8): 1948-1958 (2019) - [c34]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. AAAI 2019: 865-872 - [c33]Yanning Zhou, Omer Fahri Onder, Qi Dou
, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation. IPMI 2019: 682-693 - [c32]Cheng Xue, Qi Dou
, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. ISBI 2019: 1280-1283 - [c31]Xi Wang, Hao Chen, Luyang Luo
, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. MICCAI (1) 2019: 39-47 - [c30]Cheng Chen, Qi Dou
, Yueming Jin, Hao Chen, Jing Qin
, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. MICCAI (3) 2019: 447-456 - [c29]Luyang Luo
, Hao Chen, Xi Wang, Qi Dou
, Huangjing Lin
, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. MICCAI (4) 2019: 504-512 - [c28]Zixu Zhao, Huangjing Lin
, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. MICCAI (1) 2019: 586-594 - [c27]Xueying Shi, Qi Dou
, Cheng Xue, Jing Qin
, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. MLMI@MICCAI 2019: 628-636 - [c26]Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou
, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. MICCAI (1) 2019: 640-648 - [p2]Qi Dou
, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng:
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 93-115 - [i29]Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk
, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin
, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze:
The Liver Tumor Segmentation Benchmark (LiTS). CoRR abs/1901.04056 (2019) - [i28]Cheng Xue, Qi Dou, Xueying Shi, Hao Chen, Pheng-Ann Heng:
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification. CoRR abs/1901.07759 (2019) - [i27]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. CoRR abs/1901.08211 (2019) - [i26]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Transformation Consistent Self-ensembling Model for Semi-supervised Medical Image Segmentation. CoRR abs/1903.00348 (2019) - [i25]Yanning Zhou, Omer Fahri Onder, Qi Dou, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng:
CIA-Net: Robust Nuclei Instance Segmentation with Contour-aware Information Aggregation. CoRR abs/1903.05358 (2019) - [i24]Zixu Zhao, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis. CoRR abs/1905.01040 (2019) - [i23]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. CoRR abs/1906.02999 (2019) - [i22]Yueming Jin, Huaxia Li, Qi Dou, Hao Chen, Jing Qin, Chi-Wing Fu, Pheng-Ann Heng:
Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis. CoRR abs/1907.06099 (2019) - [i21]Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening. CoRR abs/1907.12927 (2019) - [i20]Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng:
IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation. CoRR abs/1908.06623 (2019) - [i19]Xueying Shi, Qi Dou, Cheng Xue, Jing Qin, Hao Chen, Pheng-Ann Heng:
An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis. CoRR abs/1909.02344 (2019) - 2018
- [j16]Xiaomeng Li
, Qi Dou
, Hao Chen
, Chi-Wing Fu
, Xiaojuan Qi, Daniel Belavy
, Gabriele Armbrecht
, Dieter Felsenberg, Guoyan Zheng, Pheng-Ann Heng
:
3D multi-scale FCN with random modality voxel dropout learning for Intervertebral Disc Localization and Segmentation from Multi-modality MR Images. Medical Image Anal. 45: 41-54 (2018) - [j15]Hao Chen, Qi Dou
, Lequan Yu
, Jing Qin
, Pheng-Ann Heng
:
VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images. NeuroImage 170: 446-455 (2018) - [j14]Yueming Jin
, Qi Dou
, Hao Chen
, Lequan Yu
, Jing Qin
, Chi-Wing Fu
, Pheng-Ann Heng
:
SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network. IEEE Trans. Medical Imaging 37(5): 1114-1126 (2018) - [j13]Xiaomeng Li
, Hao Chen
, Xiaojuan Qi, Qi Dou
, Chi-Wing Fu
, Pheng-Ann Heng
:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation From CT Volumes. IEEE Trans. Medical Imaging 37(12): 2663-2674 (2018) - [c25]Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-Grained Classification of Nuclei Using Sibling FCN With Objectness Prior Interaction. AAAI 2018: 2652-2659 - [c24]Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. BMVC 2018: 63 - [c23]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. IJCAI 2018: 691-697 - [c22]Yi-Jie Huang, Qi Dou
, Zi-Xian Wang, Li-Zhi Liu, Li-Sheng Wang, Hao Chen, Pheng-Ann Heng
, Rui-Hua Xu:
HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation. ISBI 2018: 195-198 - [c21]Lihao Liu, Qi Dou
, Hao Chen, Iyiola E. Olatunji, Jing Qin
, Pheng-Ann Heng
:
MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis. DLMIA/ML-CDS@MICCAI 2018: 74-82 - [c20]Cheng Chen, Qi Dou
, Hao Chen, Pheng-Ann Heng
:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. MLMI@MICCAI 2018: 143-151 - [c19]Huangjing Lin
, Hao Chen, Qi Dou
, Liansheng Wang, Jing Qin
, Pheng-Ann Heng
:
ScanNet: A Fast and Dense Scanning Framework for Metastastic Breast Cancer Detection from Whole-Slide Image. WACV 2018: 539-546 - [i18]Xiaowei Hu, Xuemiao Xu, Yongjie Xiao, Hao Chen, Shengfeng He, Jing Qin, Pheng-Ann Heng:
SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection. CoRR abs/1804.00433 (2018) - [i17]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. CoRR abs/1804.10916 (2018) - [i16]Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. CoRR abs/1806.00600 (2018) - [i15]Simon Graham, Hao Chen, Qi Dou, Pheng-Ann Heng, Nasir M. Rajpoot:
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images. CoRR abs/1806.01963 (2018) - [i14]Yi-Jie Huang, Qi Dou, Zi-Xian Wang, Li-Zhi Liu, Ying Jin, Chao-Feng Li, Lisheng Wang, Hao Chen, Rui-Hua Xu:
3D RoI-aware U-Net for Accurate and Efficient Colorectal Tumor Segmentation. CoRR abs/1806.10342 (2018) - [i13]Xiaomeng Li
, Lequan Yu, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng:
Semi-supervised Skin Lesion Segmentation via Transformation Consistent Self-ensembling Model. CoRR abs/1808.03887 (2018) - [i12]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR abs/1812.07907 (2018) - 2017
- [j12]Guoyan Zheng
, Chengwen Chu, Daniel Belavy
, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Hugo Hutt, Richard M. Everson
, Judith Meakin, Isabel Lopez Andrade, Ben Glocker, Hao Chen
, Qi Dou
, Pheng-Ann Heng
, Chunliang Wang, Daniel Forsberg
, Ales Neubert
, Jurgen Fripp
, Martin Urschler
, Darko Stern
, Maria Wimmer
:
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35: 327-344 (2017) - [j11]Korsuk Sirinukunwattana
, Josien P. W. Pluim, Hao Chen, Xiaojuan Qi, Pheng-Ann Heng
, Yun Bo Guo, Li Yang Wang, Bogdan J. Matuszewski, Elia Bruni, Urko Sanchez, Anton Böhm, Olaf Ronneberger, Bassem Ben Cheikh, Daniel Racoceanu
, Philipp Kainz, Michael Pfeiffer, Martin Urschler
, David R. J. Snead, Nasir M. Rajpoot
:
Gland segmentation in colon histology images: The glas challenge contest. Medical Image Anal. 35: 489-502 (2017) - [j10]Hao Chen
, Xiaojuan Qi, Lequan Yu
, Qi Dou
, Jing Qin
, Pheng-Ann Heng
:
DCAN: Deep contour-aware networks for object instance segmentation from histology images. Medical Image Anal. 36: 135-146 (2017) - [j9]Qi Dou
, Lequan Yu
, Hao Chen, Yueming Jin, Xin Yang, Jing Qin
, Pheng-Ann Heng
:
3D deeply supervised network for automated segmentation of volumetric medical images. Medical Image Anal. 41: 40-54 (2017) - [j8]Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello
, Hao Chen, Qi Dou
, Maria Evelina Fantacci
, Bram Geurts
, Robbert van der Gugten, Pheng-Ann Heng
, Bart Jansen
, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sónora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou
, Mathias Prokop
:
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge. Medical Image Anal. 42: 1-13 (2017) - [j7]Qi Dou
, Hao Chen
, Lequan Yu
, Jing Qin
, Pheng-Ann Heng
:
Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection. IEEE Trans. Biomed. Eng. 64(7): 1558-1567 (2017) - [j6]Hao Chen
, Lingyun Wu, Qi Dou
, Jing Qin
, Shengli Li, Jie-Zhi Cheng
, Dong Ni, Pheng-Ann Heng
:
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework. IEEE Trans. Cybern. 47(6): 1576-1586 (2017) - [j5]Lequan Yu
, Hao Chen
, Qi Dou
, Jing Qin
, Pheng-Ann Heng
:
Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos. IEEE J. Biomed. Health Informatics 21(1): 65-75 (2017) - [j4]Lequan Yu
, Hao Chen, Qi Dou
, Jing Qin
, Pheng-Ann Heng
:
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks. IEEE Trans. Medical Imaging 36(4): 994-1004 (2017) - [j3]Jorge Bernal, Nima Tajkbaksh, Francisco Javier Sánchez
, Bogdan J. Matuszewski, Hao Chen, Lequan Yu
, Quentin Angermann, Olivier Romain
, Bjorn Rustad, Ilangko Balasingham, Konstantin Pogorelov, Sungbin Choi, Quentin Debard, Lena Maier-Hein, Stefanie Speidel, Danail Stoyanov
, Patrick Brandao, Henry Córdova
, Cristina Sánchez-Montes, Suryakanth R. Gurudu, Gloria Fernández-Esparrach
, Xavier Dray, Jianming Liang, Aymeric Histace
:
Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge. IEEE Trans. Medical Imaging 36(6): 1231-1249 (2017) - [c18]Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images. AAAI 2017: 66-72 - [c17]Xiaowei Hu
, Lequan Yu
, Hao Chen, Jing Qin
, Pheng-Ann Heng
:
AGNet: Attention-Guided Network for Surgical Tool Presence Detection. DLMIA/ML-CDS@MICCAI 2017: 186-194 - [c16]Lequan Yu
, Jie-Zhi Cheng, Qi Dou
, Xin Yang, Hao Chen, Jing Qin
, Pheng-Ann Heng
:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. MICCAI (2) 2017: 287-295 - [c15]Qi Dou
, Hao Chen, Yueming Jin, Huangjing Lin
, Jing Qin
, Pheng-Ann Heng
:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. MICCAI (3) 2017: 630-638 - [p1]Hao Chen, Qi Dou
, Lequan Yu
, Jing Qin
, Lei Zhao, Vincent C. T. Mok
, Defeng Wang, Lin Shi
, Pheng-Ann Heng
:
Deep Cascaded Networks for Sparsely Distributed Object Detection from Medical Images. Deep Learning for Medical Image Analysis 2017: 133-154 - [i11]Huangjing Lin, Hao Chen, Qi Dou, Liansheng Wang, Jing Qin, Pheng-Ann Heng:
ScanNet: A Fast and Dense Scanning Framework for Metastatic Breast Cancer Detection from Whole-Slide Images. CoRR abs/1707.09597 (2017) - [i10]Lequan Yu, Jie-Zhi Cheng, Qi Dou, Xin Yang, Hao Chen, Jing Qin, Pheng-Ann Heng:
Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets. CoRR abs/1708.00573 (2017) - [i9]Qi Dou, Hao Chen, Yueming Jin, Huangjing Lin, Jing Qin, Pheng-Ann Heng:
Automated Pulmonary Nodule Detection via 3D ConvNets with Online Sample Filtering and Hybrid-Loss Residual Learning. CoRR abs/1708.03867 (2017) - [i8]Xiaomeng Li, Hao Chen, Xiaojuan Qi, Qi Dou, Chi-Wing Fu, Pheng-Ann Heng:
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Liver Tumor Segmentation from CT Volumes. CoRR abs/1709.07330 (2017) - [i7]Yanning Zhou, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
SFCN-OPI: Detection and Fine-grained Classification of Nuclei Using Sibling FCN with Objectness Prior Interaction. CoRR abs/1712.08297 (2017) - 2016
- [j2]Qi Dou
, Hao Chen
, Lequan Yu
, Lei Zhao
, Jing Qin
, Defeng Wang, Vincent C. T. Mok
, Lin Shi
, Pheng-Ann Heng
:
Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks. IEEE Trans. Medical Imaging 35(5): 1182-1195 (2016) - [c14]Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng:
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks. AAAI 2016: 1160-1166 - [c13]Hao Chen, Xiaojuan Qi, Jie-Zhi Cheng, Pheng-Ann Heng:
Deep Contextual Networks for Neuronal Structure Segmentation. AAAI 2016: 1167-1173 - [c12]Hao Chen, Xiaojuan Qi, Lequan Yu
, Pheng-Ann Heng
:
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation. CVPR 2016: 2487-2496 - [c11]Hao Chen, Xi Wang, Pheng-Ann Heng
:
Automated mitosis detection with deep regression networks. ISBI 2016: 1204-1207 - [c10]