Association between tumor heterogeneity and progression-free survival in non-small cell lung cancer patients with EGFR mutations undergoing tyrosine kinase inhibitors therapy. - Jiangdian Song; Di Dong; Yanqi Huang; Yali Zang; Zaiyi Liu; Jie Tian 001 (EMBC, 2016)

Association between tumor heterogeneity and overall survival in patients with non-small cell lung cancer. - Jiangdian Song; Di Dong; Yanqi Huang; Zaiyi Liu; Jie Tian 001 (ISBI, 2016)

Semi-automated enhanced breast tumor segmentation for CT image. - Chao Wang 008; Meng Li; Xia Liu; Zaiyi Liu; Yali Zang; Zhenyu Liu; Di Dong; Changhong Chang; Jie Tian 001 (EMBC, 2017)

Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer. - Dongdong Yu; Mu Zhou; Feng Yang 009; Di Dong; Olivier Gevaert; Zaiyi Liu; Jingyun Shi; Jie Tian 001 (ISBI, 2017)

Development and validation of a radiomics nomogram for progression-free survival prediction in stage IV EGFR-mutant non-small cell lung cancer. - Jiangdian Song; Yali Zang; Weimin Li 003; Wenzhao Zhong; Jingyun Shi; Di Dong; Mengjie Fang; Zaiyi Liu; Jie Tian 001 (Computer-Aided Diagnosis, 2017)

Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data. - Xiaoke Ma 001; Zaiyi Liu; Zhongyuan Zhang; Xiao-Tai Huang; Wanxin Tang (BMC Bioinform., 2017)

Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. - Shuo Wang; Mu Zhou; Zaiyi Liu; Zhenyu Liu; Dongsheng Gu; Yali Zang; Di Dong; Olivier Gevaert; Jie Tian 001 (Medical Image Anal., 2017)

A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. - Yongjin Zhou 002; Jingxu Xu; Qiegen Liu; Cheng Li 008; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (IEEE Trans. Biomed. Eng., 2018)

Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net. - Jun Xu 005; Chengfei Cai; Yangshu Zhou; Bo Yao; Geyang Xu; Xiangxue Wang; Ke Zhao; Anant Madabhushi; Zaiyi Liu; Li Liang (ECDP, 2019)

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. - Cheng Li 008; Hui Sun; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (MICCAI (2), 2019)

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. - Kehan Qi; Hao Yang 026; Cheng Li 008; Zaiyi Liu; Meiyun Wang; Qiegen Liu; Shanshan Wang 002 (MICCAI (3), 2019)

CNN-Based Fully Automatic Glioma Classification with Multi-modal Medical Images. - Bingchao Zhao; Jia Huang; Changhong Liang; Zaiyi Liu; Chu Han (BrainLes@MICCAI (2), 2020)

Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. - Wenqing Hua; Taohui Xiao; Xiran Jiang; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (Biomed. Signal Process. Control., 2020)

AIDE: Annotation-efficient deep learning for automatic medical image segmentation. - Cheng Li 008; Rongpin Wang; Zaiyi Liu; Meiyun Wang; Hongna Tan; Yaping Wu; Xinfeng Liu; Hui Sun; Rui Yang; Xin Liu 053; Ismail Ben Ayed; Hairong Zheng; et al. (CoRR, 2020)

Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation. - Bingchao Zhao; Xin Chen 058; Zhi Li; Zhiwen Yu; Su Yao; Lixu Yan; Yuqian Wang; Zaiyi Liu; Changhong Liang; Chu Han (Medical Image Anal., 2020)

Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images. - Liwen Zhang; Di Dong; Zaiyi Liu; Junlin Zhou; Jie Tian 001 (ISBI, 2021)

jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data. - Wenming Wu; Zaiyi Liu; Xiaoke Ma 001 (Briefings Bioinform., 2021)

Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review. - Xipeng Pan; Yinghua Lu; Rushi Lan; Zhenbing Liu; Zujun Qin; Huadeng Wang; Zaiyi Liu (Comput. Electr. Eng., 2021)

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi; Xiaowei Xu; Su Yao; Lixu Yan; et al. (CoRR, 2021)

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning. - Jiatai Lin; Guoqiang Han; Xipeng Pan; Hao Chen 011; Danyi Li; Xiping Jia; Zhenwei Shi; Zhizhen Wang; Yanfen Cui; Haiming Li; Changhong Liang; Li Liang; et al. (CoRR, 2021)

Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. - Longfei Li; Rui Yang; Xin Chen 058; Cheng Li 008; Hairong Zheng; Yusong Lin; Zaiyi Liu; Shanshan Wang 002 (CoRR, 2021)

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study. - Lingwei Meng; Di Dong; Xin Chen 058; Mengjie Fang; Rongpin Wang; Jing Li; Zaiyi Liu; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2021)

Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients. - Liwen Zhang; Di Dong; Lianzhen Zhong; Cong Li; Chaoen Hu; Xin Yang 001; Zaiyi Liu; Rongpin Wang; Junlin Zhou; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2021)

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 031 (CBMS, 2022)

DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. - Lisha Yao; Yingda Xia; Haochen Zhang; Jiawen Yao; Dakai Jin; Bingjiang Qiu; Yuan Zhang; Suyun Li; Yanting Liang; Xian-Sheng Hua 001; Le Lu 001; Xin Chen 058; et al. (MICCAI (3), 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 058; Bingbing Li; Weihao Qiu; Danyi Li; Li Liang; Ying Wang; et al. (Comput. Electr. Eng., 2022)

RestainNet: a self-supervised digital re-stainer for stain normalization. - Bingchao Zhao; Jiatai Lin; Changhong Liang; Zongjian Yi; Xin Chen 058; Bingbing Li; Weihao Qiu; Danyi Li; Li Liang; Chu Han; 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)

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; et al. (CoRR, 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; et al. (CoRR, 2022)

Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels. - Chu Han; Jiatai Lin; Jinhai Mai; Yi Wang 031; Qingling Zhang 006; Bingchao Zhao; Xin Chen 058; Xipeng Pan; Zhenwei Shi; Zeyan Xu; Su Yao; Lixu Yan; et al. (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 058; Jinrong Qu; Ke Zhao; Rushi Lan; Changhong Liang; Xipeng Pan; et al. (Medical Image Anal., 2022)

Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images. - Liwen Zhang; Lianzhen Zhong; Cong Li; Wenjuan Zhang; Chaoen Hu; Di Dong; Zaiyi Liu; Junlin Zhou; Jie Tian 001 (Neural Networks, 2022)

Automatic Lung Nodule Segmentation and Intra-Nodular Heterogeneity Image Generation. - Jiangdian Song; Shih-Cheng Huang; Brendan Kelly; Guanqun Liao; Jingyun Shi; Ning Wu; Weimin Li 003; Zaiyi Liu; Lei Cui 008; Matthew P. Lungren; Michael E. Moseley; Peng Gao; et al. (IEEE J. Biomed. Health Informatics, 2022)

PDBL: Improving Histopathological Tissue Classification With Plug-and-Play Pyramidal Deep-Broad Learning. - Jiatai Lin; Guoqiang Han; Xipeng Pan; Zaiyi Liu; Hao Chen 011; Danyi Li; Xiping Jia; Zhenwei Shi; Zhizhen Wang; Yanfen Cui; Haiming Li; Changhong Liang; et al. (IEEE Trans. Medical Imaging, 2022)

Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. - Mingze Yuan; Yingda Xia; Hexin Dong; Zifan Chen; Jiawen Yao; Mingyan Qiu; Ke Yan 006; Xiaoli Yin; Yu Shi; Xin Chen 058; Zaiyi Liu; Bin Dong 001; et al. (CVPR, 2023)

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (ICCV, 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 004; Zaiyi Liu; Wenbin Liu (ICIC (3), 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 004; Zaiyi Liu; Wenbin Liu (ICIC (3), 2023)

A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI. - Wentian Cai; Yulin Cheng; Ying Gao 004; Weixiao Liu; Xinyan Xie; Xiongwen Luo 001; Weixian Yang; Zaiyi Liu; Changhong Liang (ICME, 2023)

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. - Hexin Dong; Jiawen Yao; Yuxing Tang; Mingze Yuan; Yingda Xia; Jian Zhou; Hong Lu; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Zaiyi Liu; Li Zhang 047; et al. (MICCAI (5), 2023)

MsNet: Multi-stage Learning from Seldom Labeled Data for 3D Tooth Segmentation in Dental Cone Beam Computed Tomography. - Xuewei Kang; Bingjiang Qiu; Lisha Yao; Zhihong Chen; Chu Han; Zaiyi Liu (SemiToothSeg@MICCAI, 2023)

M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. - Quan Liu 002; Jiawen Yao; Lisha Yao; Xin Chen 058; Jingren Zhou 001; Le Lu 001; Ling Zhang 002; Zaiyi Liu; Yuankai Huo (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 2023)

AdaptNet: Adaptive Learning from Partially Labeled Data for Abdomen Multi-organ and Tumor Segmentation. - JiChao Luo; Zhihong Chen; Wenbin Liu; Zaiyi Liu; Bingjiang Qiu; Gang Fang (FLARE@MICCAI, 2023)

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. - Wenao Ma; Cheng Chen 013; Jill M. Abrigo; Calvin Hoi-Kwan Mak; Yuqi Gong; Nga Yan Chan; Chu Han; Zaiyi Liu; Qi Dou 001 (MICCAI (5), 2023)

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. - Mingze Yuan; Yingda Xia; Xin Chen 058; Jiawen Yao; Junli Wang; Mingyan Qiu; Hexin Dong; Jingren Zhou 001; Bin Dong 001; Le Lu 001; Li Zhang 047; Zaiyi Liu; et al. (MICCAI (5), 2023)

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. - Jianpeng Zhang; Xianghua Ye; Jianfeng Zhang; Yuxing Tang; Minfeng Xu; Jianfei Guo; Xin Chen 058; Zaiyi Liu; Jingren Zhou 001; Le Lu 001; Ling Zhang 002 (MICCAI (5), 2023)

UOD: Universal One-Shot Detection of Anatomical Landmarks. - Heqin Zhu; Quan Quan; Qingsong Yao; Zaiyi Liu; S. Kevin Zhou (MICCAI (1), 2023)

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. - Jieneng Chen; Yingda Xia; Jiawen Yao; Ke Yan 006; Jianpeng Zhang; Le Lu 001; Fakai Wang; Bo Zhou 009; Mingyan Qiu; Qihang Yu; Mingze Yuan; Wei Fang 005; et al. (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 001; Ke Zhao; Fang-Fang Liu; Yu-Mian Jia; Jin Wang; Bingchao Zhao; Changhong Liang; Zaiyi Liu; et al. (CoRR, 2023)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

Domain Generalization for Mammographic Image Analysis via Contrastive Learning. - Zheren Li; Zhiming Cui; Lichi Zhang; Sheng Wang 014; Chenjin Lei; Xi Ouyang; Dongdong Chen 003; Zixu Zhuang; Xiangyu Zhao 003; Yajia Gu; Zaiyi Liu; Chunling Liu; et al. (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; et al. (CoRR, 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)

Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning. - Xiaowei Gao; Yan Wang; Weimin Hou; Zaiyi Liu; Xiaoke Ma 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

CKD-TransBTS: Clinical Knowledge-Driven Hybrid Transformer With Modality-Correlated Cross-Attention for Brain Tumor Segmentation. - Jianwei Lin; Jiatai Lin; Cheng Lu 001; Hao Chen 011; Huan Lin; Bingchao Zhao; Zhenwei Shi; Bingjiang Qiu; Xipeng Pan; Zeyan Xu; Biao Huang 008; Changhong Liang; et al. (IEEE Trans. Medical Imaging, 2023)

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation. - Taiping Qu; Xiuli Li; Xiheng Wang; Wenyi Deng; Li Mao; Ming He; Xiao Li; Yun Wang; Zaiyi Liu; Longjiang Zhang; Zhengyu Jin; Huadan Xue; et al. (Medical Image Anal., 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; et al. (IEEE Trans. Medical Imaging, 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 001; Zhenbing Liu; Cheng Pang; et al. (Comput. Methods Programs Biomed., 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 031 (Expert Syst. Appl., 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 001; Lingqiao Li; Zhengyun Feng; Huadeng Wang; Changhong Liang; Zhenbing Liu; Xin Chen 058; Chu Han; et al. (Medical Image Anal., 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 003; Chu Han; Xiaomei Huang; Chenglu Ke; et al. (Patterns, 2023)

Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning. - Jiadong Zhang; Zhiming Cui; Luping Zhou; Yiqun Sun; Zhenhui Li; Zaiyi Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2023)

SS-WSSS: Small-Scale Weakly Supervised Semantic Segmentation for Histopathology Image. - Jiatai Lin; Guoqiang Han; Jingxuan Zhou; Zhenwei Shi; Zaiyi Liu; Chu Han (BIBM, 2024)

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. - Wei Fang 005; Yuxing Tang; Heng Guo; Mingze Yuan; Tony C. W. Mok; Ke Yan 006; Jiawen Yao; Xin Chen 058; Zaiyi Liu; Le Lu 001; Ling Zhang 002; Minfeng Xu (CVPR, 2024)

DBrAL: A Novel Uncertainty-Based Active Learning Based on Deep-Broad Learning for Medical Image Classification. - Hongjiang Wu; Yuping Zhong; Guoqiang Han; Jiatai Lin; Zaiyi Liu; Chu Han (ICANN (8), 2024)

Active Learning by Feature Perturbation for Medical Image Classification. - Yuping Zhong; Guoqiang Han; Zhenwei Shi; Zaiyi Liu; Chu Han; Jiatai Lin (ICONIP (4), 2024)

Joint Unsupervised Domain Adaptation and Semi-supervised Learning for Multi-sequence MR Abdominal Organ Segmentation. - Jiahui He; Lei Wu; Wenbin Liu; Zaiyi Liu; Gang Fang (FLARE@MICCAI, 2024)

PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction. - Xipeng Pan; Yajun An; Rushi Lan; Zhenbing Liu; Zaiyi Liu; Cheng Lu 001; Huihua Yang (MICCAI (3), 2024)

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. - Fenghe Tang; Ronghao Xu; Qingsong Yao; Xueming Fu; Quan Quan; Heqin Zhu; Zaiyi Liu; S. Kevin Zhou (MICCAI (11), 2024)

LesionMix data enhancement and entropy minimization for semi-supervised lesion segmentation of lung cancer. - Xipeng Pan; Mingwei Chen; Huan Lin; Xinjun Bian; Siyang Feng; Jiale Chen; Lin Wang; Xin Chen 058; Zaiyi Liu; Rushi Lan (Appl. Soft Comput., 2024)

ALIEN: Attention-guided cross-resolution collaborative network for 3D gastric cancer segmentation in CT images. - Zhihong Chen; Lisha Yao; Yanfen Cui; Yunlin Zheng; Suyun Li; Xiaorui Han; Xuewei Kang; Wenbin Liu; Xin Chen 058; Chu Han; Zaiyi Liu; Bingjiang Qiu; et al. (Biomed. Signal Process. Control., 2024)

FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy. - Dan Wang; Chu Han; Zhen Zhang 058; Tiantian Zhai; Huan Lin; Baoyao Yang; Yanfen Cui; Yinbing Lin; Zhihe Zhao; Lujun Zhao; Changhong Liang; An Zeng; et al. (Comput. Methods Programs Biomed., 2024)

MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer. - Hui Li; Yuanshen Zhao; Jingxian Duan; Jia Gu; Zaiyi Liu; Huailing Zhang; Yuqin Zhang; Zhi-Cheng Li 001 (Displays, 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; et al. (Comput. Biol. Medicine, 2024)

Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data. - Haiyue Wang; Zaiyi Liu; Xiaoke Ma 001 (IEEE J. Biomed. Health Informatics, 2024)

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training. - Lei Hu 002; Dawei Zhou 004; Jiahua Xu; Cheng Lu 001; Chu Han; Zhenwei Shi; Qikui Zhu; Xinbo Gao 001; Nannan Wang 001; Zaiyi Liu (IEEE J. Biomed. Health Informatics, 2024)

Drug-Target Prediction Based on Dynamic Heterogeneous Graph Convolutional Network. - Peng Xu 004; Zhitao Wei; Chuchu Li; Jiaqi Yuan; Zaiyi Liu; Wenbin Liu (IEEE J. Biomed. Health Informatics, 2024)

FedDBL: Communication and Data Efficient Federated Deep-Broad Learning for Histopathological Tissue Classification. - Tianpeng Deng; Yanqi Huang; Guoqiang Han; Zhenwei Shi; Jiatai Lin; Qi Dou 001; Zaiyi Liu; Xiao-jing Guo; C. L. Philip Chen; Chu Han (IEEE Trans. Cybern., 2024)

CroMAM: A Cross-Magnification Attention Feature Fusion Model for Predicting Genetic Status and Survival of Gliomas Using Histological Images. - Jisen Guo; Peng Xu 004; Yuankui Wu; Yunyun Tao; Chu Han; Jiatai Lin; Ke Zhao; Zaiyi Liu; Wenbin Liu; Cheng Lu 001 (IEEE J. Biomed. Health Informatics, 2024)

CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction. - Yajun An; Jiale Chen; Huan Lin; Zhenbing Liu; Siyang Feng; Hualong Zhang; Rushi Lan; Zaiyi Liu; Xipeng Pan (AAAI, 2025)

Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model. - Jiahua Xu; Dawei Zhou 004; Lei Hu 002; Jianfeng Guo; Feng Yang 015; Zaiyi Liu; Nannan Wang 001; Xinbo Gao 001 (AAAI, 2025)

Rethinking mitosis detection: Towards diverse data and feature representation for better domain generalization. - Jiatai Lin; Hao Wang; Danyi Li; Jing Wang; Bingchao Zhao; Zhenwei Shi; Changhong Liang; Guoqiang Han; Li Liang; Zaiyi Liu; Chu Han (Artif. Intell. Medicine, 2025)

Uncertainty-guided cross teaching semi-supervised framework for histopathology image segmentation with curriculum self-training. - Rui Xu; Nan Zhou; Siyang Feng; Zhenbing Liu; Huahu Deng; Yajun An; Jian Li; Chu Han; Zaiyi Liu; Rushi Lan; Cheng Lu 001; Xipeng Pan (Appl. Soft Comput., 2025)

Annotation-free method for breast tumour segmentation in dynamic contrast-enhanced MRI. - Jiahui He; Junjie Zhang; Xu Huang; Yue Liu; Jiayi Liao; Yanfen Cui; Wenbin Liu; Changhong Liang; Zaiyi Liu; Lei Wu; Gang Fang (Biomed. Signal Process. Control., 2025)

Data-efficient federated semi-supervised learning framework via pseudo supervision refinement strategy for lung tumor segmentation. - Weixing Li; Xipeng Pan; Zhen Zhang 058; Guangyao Wu; Guanchao Ye; Leonard Wee; Andre Dekker; Chu Han; Lei Shi; Zaiyi Liu; Zhenbing Liu; Zhenwei Shi (Biomed. Signal Process. Control., 2025)

Bounding boxes for weakly-supervised breast cancer segmentation in DCE-MRI. - Yuming Zhong; Zeyan Xu; Chu Han; Zaiyi Liu; Yi Wang 031 (Biomed. Signal Process. Control., 2025)

Domain generalization for mammographic image analysis with contrastive learning. - Zheren Li; Zhiming Cui; Lichi Zhang; Sheng Wang 014; Chenjin Lei; Xi Ouyang; Dongdong Chen 003; Xiangyu Zhao 003; Chunling Liu; Zaiyi Liu; Yajia Gu; Dinggang Shen; et al. (Comput. Biol. Medicine, 2025)

Weakly supervised histopathology tissue semantic segmentation with multi-scale voting and online noise suppression. - Xipeng Pan; Hualong Zhang; Huahu Deng; Huadeng Wang; Lingqiao Li; Zhenbing Liu; Lin Wang; Yajun An; Cheng Lu 001; Zaiyi Liu; Chu Han; Rushi Lan (Eng. Appl. Artif. Intell., 2025)

Multi-phase feature-aligned fusion model for automated colorectal cancer segmentation in contrast-enhanced CT scans. - Xuewei Kang; Lisha Yao; Yanqi Huang; Suyun Li; Zhihong Chen; Zhanzhu Lin; Bingjiang Qiu; Chu Han; Yun Mao; Zaiyi Liu; Xin Chen 058 (Expert Syst. Appl., 2025)

Label-efficient transformer-based framework with self-supervised strategies for heterogeneous lung tumor segmentation. - Zhenbing Liu; Weixing Li; Yanfen Cui; Xin Chen 058; Xipeng Pan; Guanchao Ye; Guangyao Wu; Yongde Liao; Leroy Volmer; Leonard Wee; Andre Dekker; Chu Han; et al. (Expert Syst. Appl., 2025)

Feature fusion network for pulmonary nodule segmentation and EGFR classification using dual encoders. - Huaqiang Su; Haijun Lei; Zaiyi Liu; Lisha Yao; Suyun Li; Huan Lin; Guoliang Chen 005; Xin Chen 058; Baiying Lei (Expert Syst. Appl., 2025)

Multi-layer Feature Fusion and Coarse-to-fine Label Learning for Semi-supervised Lesion Segmentation of Lung Cancer. - Jiale Chen; Siyang Feng; Yanfen Cui; Chuansong Fan; Huan Lin; Xinjun Bian; Lingqiao Li; Zhenbing Liu; Zaiyi Liu; Rushi Lan; Xipeng Pan (Knowl. Based Syst., 2025)

When multiple instance learning meets foundation models: Advancing histological whole slide image analysis. - Hongming Xu 002; Mingkang Wang; Duanbo Shi; Huamin Qin; Yunpeng Zhang; Zaiyi Liu; Anant Madabhushi; Peng Gao; Fengyu Cong; Cheng Lu 001 (Medical Image Anal., 2025)

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI. - Lei Zhou 003; Yuzhong Zhang; Jiadong Zhang; Xuejun Qian; Chen Gong 002; Kun Sun; Zhongxiang Ding; Xing Wang; Zhenhui Li; Zaiyi Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

ContraSurv: Enhancing Prognostic Assessment of Medical Images via Data-Efficient Weakly Supervised Contrastive Learning. - Hailin Li; Di Dong; Mengjie Fang; Bingxi He; Shengyuan Liu; Chaoen Hu; Zaiyi Liu; Hexiang Wang; Linglong Tang; Jie Tian 001 (IEEE J. Biomed. Health Informatics, 2025)

Towards Computation- and Communication-efficient Computational Pathology. - Chu Han; Bingchao Zhao; Jiatai Lin; Shanshan Lyu; Longfei Wang; Tianpeng Deng; Cheng Lu 001; Changhong Liang; Hannah Y. Wen; Xiaojing Guo; Zhenwei Shi; Zaiyi Liu (CoRR, 2025)

Structure-Accurate Medical Image Translation based on Dynamic Frequency Balance and Knowledge Guidance. - Jiahua Xu; Dawei Zhou 004; Lei Hu 002; Zaiyi Liu; Nannan Wang 001; Xinbo Gao 001 (CoRR, 2025)

A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans. - Lisha Yao; Yingda Xia; Zhihong Chen; Suyun Li; Jiawen Yao; Dakai Jin; Yanting Liang; Jiatai Lin; Bingchao Zhao; Chu Han; Le Lu 001; Ling Zhang 002; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)

FedBCD: Federated Ultrasound Video and Image Joint Learning for Breast Cancer Diagnosis. - Tianpeng Deng; Chunwang Huang; Ming Cai; Yu Liu; Min Liu; Jiatai Lin; Zhenwei Shi; Bingchao Zhao; Jingqi Huang; Changhong Liang; Guoqiang Han; Zaiyi Liu; et al. (IEEE Trans. Medical Imaging, 2025)