Chu Han

According to our database, Chu Han authored at least 53 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation.

Zhihe Zhao, Siyao Du, Zeyan Xu, Zhi Yin, Xiaomei Huang, Xin Huang, Chinting Wong, Yanting Liang, Jing Shen, Jianlin Wu, Jinrong Qu, Lina Zhang, Yanfen Cui, Ying Wang, Leonard Wee, Andre Dekker, Chu Han, Zaiyi Liu, Zhenwei Shi, Changhong Liang

Comput. Biol. Medicine, February, 2024

2023

A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.

Jiadong Zhang, Zhiming Cui, Zhenwei Shi, Yingjia Jiang, Zhiliang Zhang, Xiaoting Dai, Zhenlu Yang, Yuning Gu, Lei Zhou, Chu Han, Xiaomei Huang, Chenglu Ke, Suyun Li, Zeyan Xu, Fei Gao, Luping Zhou, Rongpin Wang, Jun Liu, Jiayin Zhang, Zhongxiang Ding, Kun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen

Patterns, September, 2023

SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations.

Xipeng Pan, Jijun Cheng, Feihu Hou, Rushi Lan, Cheng Lu, Lingqiao Li, Zhengyun Feng, Huadeng Wang, Changhong Liang, Zhenbing Liu, Xin Chen, Chu Han, Zaiyi Liu

Medical Image Anal., August, 2023

Joint-phase attention network for breast cancer segmentation in DCE-MRI.

Rian Huang, Zeyan Xu, Yu Xie, Hong Wu, Zixian Li, Yanfen Cui, Yingwen Huo, Chu Han, Xiaotang Yang, Zaiyi Liu, Yi Wang

Expert Syst. Appl., August, 2023

Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study.

Zhengyun Feng, Huan Lin, Zaiyi Liu, Lixu Yan, Yumeng Wang, Bingbing Li, Entao Liu, Chu Han, Zhenwei Shi, Cheng Lu, Zhenbing Liu, Cheng Pang, Zhenhui Li, Yanfen Cui, Xipeng Pan, Xin Chen

Comput. Methods Programs Biomed., August, 2023

HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images.

Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zhenhui Li, Zaiyi Liu, Ying Wang, Changhong Liang

IEEE Trans. Medical Imaging, June, 2023

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

Jianwei Lin, Jiatai Lin, Cheng Lu, Hao Chen, Huan Lin, Bingchao Zhao, Zhenwei Shi, Bingjiang Qiu, Xipeng Pan, Zeyan Xu, Biao Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu, Chu Han

IEEE Trans. Medical Imaging, 2023

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications.

Jiatai Lin, Guoqiang Han, Xuemiao Xu, Changhong Liang, Tien-Tsin Wong, C. L. Philip Chen, Zaiyi Liu, Chu Han

CoRR, 2023

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation.

Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao, Zhenwei Shi, Xipeng Pan, Huadeng Wang, Bingbing Li, Changhong Liang, Guoqiang Han, Li Liang, Chu Han, Zaiyi Liu

CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot

CoRR, 2023

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification.

Tianpeng Deng, Yanqi Huang, Zhenwei Shi, Jiatai Lin, Qi Dou, Ke Zhao, Fang-Fang Liu, Yu-Mian Jia, Jin Wang, Bingchao Zhao, Changhong Liang, Zaiyi Liu, Xiao-jing Guo, Guoqiang Han, Xin Chen, Chu Han

CoRR, 2023

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data.

Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI.

Xinyu Dong, Zhenwei Shi, Xiaomei Huang, Chu Han, Zihan Cao, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer.

Zihan Cao, Zhenwei Shi, Xiaomei Huang, Chu Han, Xinyu Dong, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning.

Jiatai Lin, Guoqiang Han, Xipeng Pan, Zaiyi Liu, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Ying Wang, Chu Han

IEEE Trans. Medical Imaging, 2022

SeqSeg: A sequential method to achieve nasopharyngeal carcinoma segmentation free from background dominance.

Guihua Tao, Haojiang Li, Jiabin Huang, Chu Han, Jiazhou Chen, Guangying Ruan, Wenjie Huang, Yu Hu, Tingting Dan, Bin Zhang, Shengfeng He, Lizhi Liu, Hongmin Cai

Medical Image Anal., 2022

Meta multi-task nuclei segmentation with fewer training samples.

Chu Han, Huasheng Yao, Bingchao Zhao, Zhenhui Li, Zhenwei Shi, Lei Wu, Xin Chen, Jinrong Qu, Ke Zhao, Rushi Lan, Changhong Liang, Xipeng Pan, Zaiyi Liu

Medical Image Anal., 2022

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels.

Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Zeyan Xu, Su Yao, Lixu Yan, Huan Lin, Xiaomei Huang, Changhong Liang, Guoqiang Han, Zaiyi Liu

Medical Image Anal., 2022

HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images.

Yuhao Mo, Chu Han, Yu Liu, Min Liu, Zhenwei Shi, Jiatai Lin, Bingchao Zhao, Chunwang Huang, Bingjiang Qiu, Yanfen Cui, Lei Wu, Xipeng Pan, Zeyan Xu, Xiaomei Huang, Zaiyi Liu, Ying Wang, Changhong Liang

CoRR, 2022

WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.

Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu

CoRR, 2022

A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge.

Jijun Cheng, Xipeng Pan, Feihu Hou, Bingchao Zhao, Jiatai Lin, Zhenbing Liu, Zaiyi Liu, Chu Han

CoRR, 2022

RestainNet: a self-supervised digital re-stainer for stain normalization.

Bingchao Zhao, Jiatai Lin, Changhong Liang, Zongjian Yi, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Chu Han, Zaiyi Liu

CoRR, 2022

RestainNet: A self-supervised digital re-stainer for stain normalization.

Bingchao Zhao, Chu Han, Xipeng Pan, Jiatai Lin, Zongjian Yi, Changhong Liang, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Ying Wang, Zaiyi Liu

Comput. Electr. Eng., 2022

Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI.

Hong Wu, Yingwen Huo, Yupeng Pan, Zeyan Xu, Rian Huang, Yu Xie, Chu Han, Zaiyi Liu, Yi Wang

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks.

Yangyang Xu, Chu Han, Jing Qin, Xuemiao Xu, Guoqiang Han, Shengfeng He

IEEE Trans. Neural Networks Learn. Syst., 2021

Video Snapshot: Single Image Motion Expansion via Invertible Motion Embedding.

Qianshu Zhu, Chu Han, Guoqiang Han, Tien-Tsin Wong, Shengfeng He

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Learning task-driving affinity matrix for accurate multi-view clustering through tensor subspace learning.

Haiyan Wang, Guoqiang Han, Junyu Li, Bin Zhang, Jiazhou Chen, Yu Hu, Chu Han, Hongmin Cai

Inf. Sci., 2021

Learning a consensus affinity matrix for multi-view clustering via subspaces merging on Grassmann manifold.

Wentao Rong, Enhong Zhuo, Hong Peng, Jiazhou Chen, Haiyan Wang, Chu Han, Hongmin Cai

Inf. Sci., 2021

Fast scene labeling via structural inference.

Huaidong Zhang, Chu Han, Xiaodan Zhang, Yong Du, Xuemiao Xu, Guoqiang Han, Jing Qin, Shengfeng He

Neurocomputing, 2021

Fusion of multi-source retinal fundus images via automatic registration for clinical diagnosis.

Tingting Dan, Yu Hu, Chu Han, Zhihao Fan, Zhuobin Huang, Bin Zhang, Guihua Tao, Baoyi Liu, Honghua Yu, Hongmin Cai

Neurocomputing, 2021

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning.

Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han

CoRR, 2021

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels.

Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu

CoRR, 2021

Color correction and adaptive contrast enhancement for underwater image enhancement.

Weidong Zhang, Xipeng Pan, Xiwang Xie, Lingqiao Li, Zimin Wang, Chu Han

Comput. Electr. Eng., 2021

Reciprocal Learning for Semi-supervised Segmentation.

Xiangyun Zeng, Rian Huang, Yuming Zhong, Dong Sun, Chu Han, Di Lin, Dong Ni, Yi Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Spatially-Invariant Style-Codes Controlled Makeup Transfer.

Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, Shengfeng He

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Exploring Duality in Visual Question-Driven Top-Down Saliency.

Shengfeng He, Chu Han, Guoqiang Han, Jing Qin

IEEE Trans. Neural Networks Learn. Syst., 2020

Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation.

Bingchao Zhao, Xin Chen, Zhi Li, Zhiwen Yu, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu, Changhong Liang, Chu Han

Medical Image Anal., 2020

Example-Based Colourization Via Dense Encoding Pyramids.

Chufeng Xiao, Chu Han, Zhuming Zhang, Jing Qin, Tien-Tsin Wong, Guoqiang Han, Shengfeng He

Comput. Graph. Forum, 2020

In silico design novel (5-imidazol-2-yl-4-phenylpyrimidin-2-yl)[2-(2-pyridylamino)ethyl]amine derivatives as inhibitors for glycogen synthase kinase 3 based on 3D-QSAR, molecular docking and molecular dynamics simulation.

Qingxiu He, Chu Han, Guangping Li, Haiqiong Guo, Yuxuan Wang, Yong Hu, Zhihua Lin, Yuanqiang Wang

Comput. Biol. Chem., 2020

DeepAO: Efficient Screen Space Ambient Occlusion Generation via Deep Network.

Dongjiu Zhang, Chuhua Xian, Guoliang Luo, Yunhui Xiong, Chu Han

IEEE Access, 2020

Coherence and Identity Learning for Arbitrary-length Face Video Generation.

Shuquan Ye, Chu Han, Jiaying Lin, Guoqiang Han, Shengfeng He

Proceedings of the 25th International Conference on Pattern Recognition, 2020

TENet: Triple Excitation Network for Video Salient Object Detection.

Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He

Proceedings of the Computer Vision - ECCV 2020, 2020

CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images.

Bingchao Zhao, Jia Huang, Changhong Liang, Zaiyi Liu, Chu Han

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Tensor-based Low-rank and Graph Regularized Representation Learning for Multi-view Clustering.

Haiyan Wang, Guoqiang Han, Bin Zhang, Yu Hu, Hong Peng, Chu Han, Hongmin Cai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Deep binocular tone mapping.

Zhuming Zhang, Chu Han, Shengfeng He, Xueting Liu, Haichao Zhu, Xinghong Hu, Tien-Tsin Wong

Vis. Comput., 2019

A Learning-Based Multimodel Integrated Framework for Dynamic Traffic Flow Forecasting.

Teng Zhou, Guoqiang Han, Xuemiao Xu, Chu Han, Yuchang Huang, Jing Qin

Neural Process. Lett., 2019

Age estimation via attribute-region association.

Yiliang Chen, Shengfeng He, Zichang Tan, Chu Han, Guoqiang Han, Jing Qin

Neurocomputing, 2019

Deep Line Drawing Vectorization via Line Subdivision and Topology Reconstruction.

Yi Guo, Zhuming Zhang, Chu Han, Wenbo Hu, Chengze Li, Tien-Tsin Wong

Comput. Graph. Forum, 2019

2018

Deep unsupervised pixelization.

Chu Han, Qiang Wen, Shengfeng He, Qianshu Zhu, Yinjie Tan, Guoqiang Han, Tien-Tsin Wong

ACM Trans. Graph., 2018

TransHist: Occlusion-robust shape detection in cluttered images.

Chu Han, Xueting Liu, Lok Tsun Sinn, Tien-Tsin Wong

Comput. Vis. Media, 2018

2017

δ-agree AdaBoost stacked autoencoder for short-term traffic flow forecasting.

Teng Zhou, Guoqiang Han, Xuemiao Xu, Zhizhe Lin, Chu Han, Yuchang Huang, Jing Qin

Neurocomputing, 2017

2016

Pyramid of arclength descriptor for generating collage of shapes.

Kin Chung Kwan, Lok Tsun Sinn, Chu Han, Tien-Tsin Wong, Chi-Wing Fu

ACM Trans. Graph., 2016

2011

Design and Practical Implementation of a Novel Variable-Speed Generation System.

Mingming Shi, Bo Zhou, Jiadan Wei, Zhuoran Zhang, Yiran Mao, Chu Han

IEEE Trans. Ind. Electron., 2011