Zaiyi Liu

According to our database, Zaiyi Liu authored at least 76 papers between 2016 and 2024.

Collaborative distances:

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

2024

Drug-Target Prediction Based on Dynamic Heterogeneous Graph Convolutional Network.

Peng Xu, Zhitao Wei, Chuchu Li, Jiaqi Yuan, Zaiyi Liu, Wenbin Liu

IEEE J. Biomed. Health Informatics, November, 2024

Protecting Prostate Cancer Classification From Rectal Artifacts via Targeted Adversarial Training.

Lei Hu, Dawei Zhou, Jiahua Xu, Cheng Lu, Chu Han, Zhenwei Shi, Qikui Zhu, Xinbo Gao, Nannan Wang, Zaiyi Liu

IEEE J. Biomed. Health Informatics, July, 2024

Learning Consistency and Specificity of Cells From Single-Cell Multi-Omic Data.

Haiyue Wang, Zaiyi Liu, Xiaoke Ma

IEEE J. Biomed. Health Informatics, May, 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

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

Displays, 2024

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI.

Lei Zhou, Yuzhong Zhang, Jiadong Zhang, Xuejun Qian, Chen Gong, Kun Sun, Zhongxiang Ding, Xing Wang, Zhenhui Li, Zaiyi Liu, Dinggang Shen

CoRR, 2024

FedDUS: Lung tumor segmentation on CT images through federated semi-supervised with dynamic update strategy.

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

Comput. Methods Programs Biomed., 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, Chu Han, Zaiyi Liu, Bingjiang Qiu, Gang Fang

Biomed. Signal Process. Control., 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, Zaiyi Liu, Rushi Lan

Appl. Soft Comput., 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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, Huihua Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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, December, 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

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, Yizhou Yu

Medical Image Anal., May, 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

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

IEEE ACM Trans. Comput. Biol. Bioinform., 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

Domain Generalization for Mammographic Image Analysis via Contrastive Learning.

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

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

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, 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

CoRR, 2023

UOD: Universal One-Shot Detection of Anatomical Landmarks.

Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang

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

Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.

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

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

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

Proceedings of the Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT, 2023

M²Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction.

Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo

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

Proceedings of the Semi-supervised Tooth Segmentation - First MICCAI Challenge, 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, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang

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

A Dual-Path Supplemental Information Learning Architecture for Breast Cancer Ki-67 Status Prediction in T2w MRI.

Wentian Cai, Yulin Cheng, Ying Gao, Weixiao Liu, Xinyan Xie, Xiongwen Luo, Weixian Yang, Zaiyi Liu, Changhong Liang

Proceedings of the IEEE International Conference on Multimedia and Expo, 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

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, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang

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

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, Zaiyi Liu, Lei Cui, Matthew P. Lungren, Michael E. Moseley, Peng Gao, Jie Tian, Kristen W. Yeom

IEEE J. Biomed. Health Informatics, 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

Neural Networks, 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

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, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

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, Zaiyi Liu, Rongpin Wang, Junlin Zhou, Jie Tian

IEEE J. Biomed. Health Informatics, 2021

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study.

Lingwei Meng, Di Dong, Xin Chen, Mengjie Fang, Rongpin Wang, Jing Li, Zaiyi Liu, Jie Tian

IEEE J. Biomed. Health Informatics, 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, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang

CoRR, 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

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

jSRC: a flexible and accurate joint learning algorithm for clustering of single-cell RNA-sequencing data.

Wenming Wu, Zaiyi Liu, Xiaoke Ma

Briefings Bioinform., 2021

Joint Multi-Task Learning for Survival Prediction of Gastric Cancer Patients using CT Images.

Liwen Zhang, Di Dong, Zaiyi Liu, Junlin Zhou, Jie Tian

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

AIDE: Annotation-efficient deep learning for automatic medical image segmentation.

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

CoRR, 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

Biomed. Signal Process. Control., 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

2019

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.

Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.

Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net.

Jun Xu, Chengfei Cai, Yangshu Zhou, Bo Yao, Geyang Xu, Xiangxue Wang, Ke Zhao, Anant Madabhushi, Zaiyi Liu, Li Liang

Proceedings of the Digital Pathology - 15th European Congress, 2019

2018

A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.

Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

IEEE Trans. Biomed. Eng., 2018

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

Medical Image Anal., 2017

Multiple network algorithm for epigenetic modules via the integration of genome-wide DNA methylation and gene expression data.

Xiaoke Ma, Zaiyi Liu, Zhongyuan Zhang, Xiao-Tai Huang, Wanxin Tang

BMC Bioinform., 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, Wenzhao Zhong, Jingyun Shi, Di Dong, Mengjie Fang, Zaiyi Liu, Jie Tian

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer.

Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Semi-automated enhanced breast tumor segmentation for CT image.

Chao Wang, Meng Li, Xia Liu, Zaiyi Liu, Yali Zang, Zhenyu Liu, Di Dong, Changhong Chang, Jie Tian

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

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

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016