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2020 – today
- 2024
[j32]Xipeng Pan, Mingwei Chen, Huan Lin, Xinjun Bian, Siyang Feng, Jiale Chen, Lin Wang, Xin Chen, Zaiyi Liu, Rushi Lan:
LesionMix data enhancement and entropy minimization for semi-supervised lesion segmentation of lung cancer. Appl. Soft Comput. 167: 112244 (2024)- [j31]Zhihong Chen
, Lisha Yao, Yanfen Cui, Yunlin Zheng, Suyun Li, Xiaorui Han, Xuewei Kang, Wenbin Liu, Xin Chen, Chu Han, Zaiyi Liu, Bingjiang Qiu, Gang Fang:
ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images. Biomed. Signal Process. Control. 96: 106500 (2024) - [j30]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:
SwinHR: Hemodynamic-powered hierarchical vision transformer for breast tumor segmentation. Comput. Biol. Medicine 169: 107939 (2024) - [j29]Dan Wang, Chu Han, Zhen Zhang, Tiantian Zhai, Huan Lin, Baoyao Yang, Yanfen Cui, Yinbing Lin, Zhihe Zhao, Lujun Zhao, Changhong Liang, An Zeng, Dan Pan, Xin Chen, Zhenwei Shi, Zaiyi Liu:
FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. Comput. Methods Programs Biomed. 249: 108141 (2024) - [j28]Hui Li, Yuanshen Zhao, Jingxian Duan, Jia Gu, Zaiyi Liu, Huailing Zhang, Yuqin Zhang, Zhi-Cheng Li:
MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer. Displays 83: 102698 (2024) - [j27]Haiyue Wang, Zaiyi Liu, Xiaoke Ma:
Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data. IEEE J. Biomed. Health Informatics 28(5): 3134-3145 (2024) - [j26]Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu:
Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. IEEE J. Biomed. Health Informatics 28(7): 3997-4009 (2024) - [j25]Peng Xu, Zhitao Wei, Chuchu Li, Jiaqi Yuan, Zaiyi Liu, Wenbin Liu:
Drug-Target Prediction Based on Dynamic Heterogeneous Graph Convolutional Network. IEEE J. Biomed. Health Informatics 28(11): 6997-7005 (2024) - [c29]Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu:
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CVPR 2024: 11631-11641 - [c28]Hongjiang Wu, Yuping Zhong, Guoqiang Han, Jiatai Lin, Zaiyi Liu, Chu Han:
DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification. ICANN (8) 2024: 260-273 - [c27]Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou:
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. MICCAI (11) 2024: 330-340 - [c26]Xipeng Pan, Yajun An, Rushi Lan, Zhenbing Liu, Zaiyi Liu, Cheng Lu, Huihua Yang:
PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction. MICCAI (3) 2024: 347-357 - [i28]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. CoRR abs/2401.07854 (2024) - [i27]Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu:
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. CoRR abs/2404.04878 (2024) - [i26]Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. CoRR abs/2408.05803 (2024) - [i25]Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou:
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training. CoRR abs/2408.05815 (2024) - 2023
- [j24]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:
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. Comput. Methods Programs Biomed. 238: 107617 (2023) - [j23]Rian Huang, Zeyan Xu, Yu Xie, Hong Wu, Zixian Li, Yanfen Cui, Yingwen Huo, Chu Han, Xiaotang Yang, Zaiyi Liu, Yi Wang:
Joint-phase attention network for breast cancer segmentation in DCE-MRI. Expert Syst. Appl. 224: 119962 (2023) - [j22]Taiping Qu, Xiuli Li, Xiheng Wang, Wenyi Deng, Li Mao, Ming He, Xiao Li, Yun Wang, Zaiyi Liu, Longjiang Zhang, Zhengyu Jin, Huadan Xue, Yizhou Yu:
Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation. Medical Image Anal. 86: 102801 (2023) - [j21]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:
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations. Medical Image Anal. 88: 102867 (2023) - [j20]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:
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework. Patterns 4(9): 100826 (2023) - [j19]Xiaowei Gao, Yan Wang, Weimin Hou, Zaiyi Liu, Xiaoke Ma:
Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2050-2063 (2023) - [j18]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:
HoVer-Trans: Anatomy-Aware HoVer-Transformer for ROI-Free Breast Cancer Diagnosis in Ultrasound Images. IEEE Trans. Medical Imaging 42(6): 1696-1706 (2023) - [j17]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:
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. IEEE Trans. Medical Imaging 42(8): 2451-2461 (2023) - [j16]Jiadong Zhang, Zhiming Cui, Luping Zhou, Yiqun Sun, Zhenhui Li, Zaiyi Liu, Dinggang Shen:
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. IEEE Trans. Medical Imaging 42(12): 3944-3955 (2023) - [c25]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CVPR 2023: 23879-23889 - [c24]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. ICCV 2023: 21270-21281 - [c23]Zihan Cao, Zhenwei Shi, Xiaomei Huang, Chu Han, Xinyu Dong, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu:
DBL-MPE: Deep Broad Learning for Prediction of Response to Neo-adjuvant Chemotherapy Using MRI-Based Multi-angle Maximal Enhancement Projection in Breast Cancer. ICIC (3) 2023: 300-311 - [c22]Xinyu Dong, Zhenwei Shi, Xiaomei Huang, Chu Han, Zihan Cao, Zhihe Zhao, Dan Wang, Peng Xu, Zaiyi Liu, Wenbin Liu:
Fed-CSA: Channel Spatial Attention and Adaptive Weights Aggregation-Based Federated Learning for Breast Tumor Segmentation on MRI. ICIC (3) 2023: 312-323 - [c21]Wentian Cai, Yulin Cheng, Ying Gao, Weixiao Liu, Xinyan Xie, Xiongwen Luo, Weixian Yang, Zaiyi Liu, Changhong Liang:
A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI. ICME 2023: 210-215 - [c20]Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou:
UOD: Universal One-Shot Detection of Anatomical Landmarks. MICCAI (1) 2023: 24-34 - [c19]Xuewei Kang, Bingjiang Qiu, Lisha Yao, Zhihong Chen, Chu Han, Zaiyi Liu:
MsNet: Multi-stage Learning from Seldom Labeled Data for 3D Tooth Segmentation in Dental Cone Beam Computed Tomography. SemiToothSeg@MICCAI 2023: 72-82 - [c18]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 125-134 - [c17]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. MICCAI (5) 2023: 146-156 - [c16]JiChao Luo, Zhihong Chen, Wenbin Liu, Zaiyi Liu, Bingjiang Qiu, Gang Fang:
AdaptNet: Adaptive Learning from Partially Labeled Data for Abdomen Multi-organ and Tumor Segmentation. FLARE@MICCAI 2023: 179-193 - [c15]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. MICCAI (5) 2023: 199-209 - [c14]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. MICCAI (5) 2023: 241-251 - [c13]Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. MICCAI (5) 2023: 715-725 - [i24]Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang:
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. CoRR abs/2301.12291 (2023) - [i23]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:
FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. CoRR abs/2302.12662 (2023) - [i22]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:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i21]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang:
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CoRR abs/2304.00212 (2023) - [i20]Zheren Li, Zhiming Cui, Lichi Zhang, Sheng Wang, Chenjin Lei, Xi Ouyang, Dongdong Chen, Zixu Zhuang, Xiangyu Zhao, Yajia Gu, Zaiyi Liu, Chunling Liu, Dinggang Shen, Jie-Zhi Cheng:
Domain Generalization for Mammographic Image Analysis via Contrastive Learning. CoRR abs/2304.10226 (2023) - [i19]Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, Shaohua Kevin Zhou:
UOD: Universal One-shot Detection of Anatomical Landmarks. CoRR abs/2306.07615 (2023) - [i18]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. CoRR abs/2307.04525 (2023) - [i17]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:
Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation. CoRR abs/2307.05889 (2023) - [i16]Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction like Radiologists. CoRR abs/2307.10824 (2023) - [i15]Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. CoRR abs/2307.12858 (2023) - [i14]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer. CoRR abs/2308.00507 (2023) - [i13]Jiatai Lin, Guoqiang Han, Xuemiao Xu, Changhong Liang, Tien-Tsin Wong, C. L. Philip Chen, Zaiyi Liu, Chu Han:
BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications. CoRR abs/2309.03509 (2023) - 2022
- [j15]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:
RestainNet: A self-supervised digital re-stainer for stain normalization. Comput. Electr. Eng. 103: 108304 (2022) - [j14]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:
Meta multi-task nuclei segmentation with fewer training samples. Medical Image Anal. 80: 102481 (2022) - [j13]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:
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. Medical Image Anal. 80: 102487 (2022) - [j12]Liwen Zhang, Lianzhen Zhong, Cong Li, Wenjuan Zhang, Chaoen Hu, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian:
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. Neural Networks 152: 394-406 (2022) - [j11]Jiangdian Song, Shih-Cheng Huang, Brendan Kelly, Guanqun Liao, Jingyun Shi, Ning Wu, Weimin Li, Zaiyi Liu, Lei Cui, Matthew P. Lungren, Michael E. Moseley, Peng Gao, Jie Tian, Kristen W. Yeom:
Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation. IEEE J. Biomed. Health Informatics 26(6): 2570-2581 (2022) - [j10]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:
PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. IEEE Trans. Medical Imaging 41(9): 2252-2262 (2022) - [c12]Hong Wu, Yingwen Huo, Yupeng Pan, Zeyan Xu, Rian Huang, Yu Xie, Chu Han, Zaiyi Liu, Yi Wang:
Learning Pre- and Post-contrast Representation for Breast Cancer Segmentation in DCE-MRI. CBMS 2022: 355-359 - [c11]Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang:
DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. MICCAI (3) 2022: 564-573 - [i12]Bingchao Zhao, Jiatai Lin, Changhong Liang, Zongjian Yi, Xin Chen, Bingbing Li, Weihao Qiu, Danyi Li, Li Liang, Chu Han, Zaiyi Liu:
RestainNet: a self-supervised digital re-stainer for stain normalization. CoRR abs/2202.13804 (2022) - [i11]Jijun Cheng, Xipeng Pan, Feihu Hou, Bingchao Zhao, Jiatai Lin, Zhenbing Liu, Zaiyi Liu, Chu Han:
A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge. CoRR abs/2203.00171 (2022) - [i10]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:
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - [i9]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:
HoVer-Trans: Anatomy-aware HoVer-Transformer for ROI-free Breast Cancer Diagnosis in Ultrasound Images. CoRR abs/2205.08390 (2022) - [i8]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:
CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer with Modality-Correlated Cross-Attention for Brain Tumor Segmentation. CoRR abs/2207.07370 (2022) - [i7]Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study. CoRR abs/2210.16640 (2022) - 2021
- [j9]Wenming Wu, Zaiyi Liu, Xiaoke Ma:
jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data. Briefings Bioinform. 22(5) (2021) - [j8]Xipeng Pan, Yinghua Lu, Rushi Lan, Zhenbing Liu, Zujun Qin, Huadeng Wang, Zaiyi Liu:
Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review. Comput. Electr. Eng. 91: 107038 (2021) - [j7]Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian:
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. IEEE J. Biomed. Health Informatics 25(3): 755-763 (2021) - [j6]Liwen Zhang, Di Dong, Lianzhen Zhong, Cong Li, Chaoen Hu, Xin Yang, Zaiyi Liu, Rongpin Wang, Junlin Zhou, Jie Tian:
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. IEEE J. Biomed. Health Informatics 25(10): 3933-3942 (2021) - [c10]Liwen Zhang, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian:
Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images. ISBI 2021: 895-898 - [i6]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:
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. CoRR abs/2110.08048 (2021) - [i5]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:
PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning. CoRR abs/2111.03063 (2021) - [i4]Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang:
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. CoRR abs/2112.13686 (2021) - 2020
- [j5]Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. Biomed. Signal Process. Control. 58: 101869 (2020) - [j4]Bingchao Zhao, Xin Chen, Zhi Li, Zhiwen Yu, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu, Changhong Liang, Chu Han:
Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation. Medical Image Anal. 65: 101786 (2020) - [c9]Bingchao Zhao, Jia Huang, Changhong Liang, Zaiyi Liu, Chu Han:
CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images. BrainLes@MICCAI (2) 2020: 497-507 - [i3]Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang:
AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR abs/2012.04885 (2020)
2010 – 2019
- 2019
- [c8]Jun Xu, Chengfei Cai, Yangshu Zhou, Bo Yao, Geyang Xu, Xiangxue Wang, Ke Zhao, Anant Madabhushi, Zaiyi Liu, Li Liang:
Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net. ECDP 2019: 100-108 - [c7]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. MICCAI (2) 2019: 57-65 - [c6]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) 2019: 247-255 - [i2]Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang:
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR abs/1907.07000 (2019) - [i1]Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. CoRR abs/1908.01997 (2019) - 2018
- [j3]Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang:
A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. 65(9): 1935-1942 (2018) - 2017
- [j2]Xiaoke Ma, Zaiyi Liu, Zhongyuan Zhang, Xiao-Tai Huang, Wanxin Tang:
Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data. BMC Bioinform. 18(1): 72:1-72:13 (2017) - [j1]Shuo Wang, Mu Zhou, Zaiyi Liu, Zhenyu Liu, Dongsheng Gu, Yali Zang, Di Dong, Olivier Gevaert, Jie Tian:
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. Medical Image Anal. 40: 172-183 (2017) - [c5]Chao Wang, Meng Li, Xia Liu, Zaiyi Liu, Yali Zang, Zhenyu Liu, Di Dong, Changhong Chang, Jie Tian:
Semi-automated enhanced breast tumor segmentation for CT image. EMBC 2017: 648-651 - [c4]Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian:
Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. ISBI 2017: 569-572 - [c3]Jiangdian Song, Yali Zang, Weimin Li, Wenzhao Zhong, Jingyun Shi, Di Dong, Mengjie Fang, Zaiyi Liu, Jie Tian:
Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer. Computer-Aided Diagnosis 2017: 101343R - 2016
- [c2]Jiangdian Song, Di Dong, Yanqi Huang, Yali Zang, Zaiyi Liu, Jie Tian:
Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy. EMBC 2016: 1268-1271 - [c1]Jiangdian Song, Di Dong, Yanqi Huang, Zaiyi Liu, Jie Tian:
Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. ISBI 2016: 1249-1252
Coauthor Index
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