Direct Detection of Pixel-Level Myocardial Infarction Areas via a Deep-Learning Algorithm. - Chenchu Xu; Lei Xu 037; Zhifan Gao; Shen Zhao; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shu Zhao; Dhanjoo N. Ghista; Shuo Li 001 (MICCAI (3), 2017)

MuTGAN: Simultaneous Segmentation and Quantification of Myocardial Infarction Without Contrast Agents via Joint Adversarial Learning. - Chenchu Xu; Lei Xu 037; Gary Brahm; Heye Zhang; Shuo Li 001 (MICCAI (2), 2018)

Direct delineation of myocardial infarction without contrast agents using a joint motion feature learning architecture. - Chenchu Xu; Lei Xu 037; Zhifan Gao; Shen Zhao; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shu Zhao; Dhanjoo N. Ghista; Huafeng Liu 003; Shuo Li 001 (Medical Image Anal., 2018)

Robust Segmentation of Intima-Media Borders With Different Morphologies and Dynamics During the Cardiac Cycle. - Shen Zhao; Zhifan Gao; Heye Zhang; Yaoqin Xie; Jianwen Luo 001; Dhanjoo N. Ghista; Zhanghong Wei; Xiaojun Bi 004; Huahua Xiong; Chenchu Xu; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2018)

EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning. - Rongjun Ge; Guanyu Yang 001; Chenchu Xu; Jiulou Zhang; Yang Chen 008; Limin Luo 001; Cheng Feng; Heye Zhang; Shuo Li 001 (ICANN (Workshop), 2019)

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT. - Rongjun Ge; Guanyu Yang 001; Chenchu Xu; Yang Chen 008; Limin Luo 001; Shuo Li 001 (MICCAI (6), 2019)

A novel machine-learning algorithm to estimate the position and size of myocardial infarction for MRI sequence. - Chenchu Xu; Lin Xu 008; Heye Zhang; Yanping Zhang 001; Xiuquan Du; Shuo Li 001 (Computing, 2019)

DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters. - Ruifeng Chen; Chenchu Xu; Zhangfu Dong; Yueguo Liu; Xiuquan Du (Comput. Methods Programs Biomed., 2020)

Trustful Internet of Surveillance Things Based on Deeply Represented Visual Co-Saliency Detection. - Zhifan Gao; Chenchu Xu; Heye Zhang; Shuo Li 001; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2020)

Segmentation and quantification of infarction without contrast agents via spatiotemporal generative adversarial learning. - Chenchu Xu; Joanne Howey; Pavlo Ohorodnyk; Mike Roth; Heye Zhang; Shuo Li 001 (Medical Image Anal., 2020)

Contrast agent-free synthesis and segmentation of ischemic heart disease images using progressive sequential causal GANs. - Chenchu Xu; Lei Xu 037; Pavlo Ohorodnyk; Mike Roth; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2020)

Video salient object detection using dual-stream spatiotemporal attention. - Chenchu Xu; Zhifan Gao; Heye Zhang; Shuo Li 001; Victor Hugo C. de Albuquerque (Appl. Soft Comput., 2021)

Applying Cross-Modality Data Processing for Infarction Learning in Medical Internet of Things. - Chenchu Xu; Zhifan Gao; Dong Zhang 009; Jinglin Zhang; Lei Xu 037; Shuo Li 001 (IEEE Internet Things J., 2021)

Synthesis of gadolinium-enhanced liver tumors on nonenhanced liver MR images using pixel-level graph reinforcement learning. - Chenchu Xu; Dong Zhang 009; Jaron Chong; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2021)

Industrial Pervasive Edge Computing-Based Intelligence IoT for Surveillance Saliency Detection. - Jinglin Zhang; Chenchu Xu; Zhifan Gao; Joel J. P. C. Rodrigues; Victor Hugo C. de Albuquerque (IEEE Trans. Ind. Informatics, 2021)

Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning. - Chenchu Xu; Dong Zhang 009; Yuhui Song; Leonardo Kayat Bittencourt; Sree Harsha Tirumani; Shuo Li 001 (MICCAI (5), 2022)

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images. - Rongjun Ge; Yuting He 001; Cong Xia; Chenchu Xu; Weiya Sun; Guanyu Yang 001; Junru Li; Zhihua Wang; Hailing Yu; Daoqiang Zhang; Yang Chen 008; Limin Luo 001; et al. (Knowl. Based Syst., 2022)

Multi-shot Prototype Contrastive Learning and Semantic Reasoning for Medical Image Segmentation. - Yuhui Song; Xiuquan Du; Yanping Zhang 001; Chenchu Xu (MICCAI (4), 2023)

Conditional Physics-Informed Graph Neural Network for Fractional Flow Reserve Assessment. - Baihong Xie; Xiujian Liu; Heye Zhang; Chenchu Xu; Tieyong Zeng; Yixuan Yuan; Guang Yang 006; Zhifan Gao (MICCAI (7), 2023)

TransCC: Transformer Network for Coronary Artery CCTA Segmentation. - Chenchu Xu; Meng Li; Xue Wu (CoRR, 2023)

BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation. - Chenchu Xu; Yifei Wang; Dong Zhang 009; Longfei Han; Yanping Zhang 001; Jie Chen 025; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2023)

Intelligent Internet of Things in Mammography Screening Using Multicenter Transformation Between Unified Capsules. - Boyan Wang; Xuegang Hu; Jinglin Zhang; Chenchu Xu; Zhifan Gao (IEEE Internet Things J., 2023)

Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs. - Dong Zhang 009; Chenchu Xu; Shuo Li 001 (Expert Syst. Appl., 2023)

Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation. - Chenchu Xu; Yuan Yang; Zhiqiang Xia; Boyan Wang; Dong Zhang 009; Yanping Zhang 001; Shu Zhao (IEEE Trans. Big Data, 2023)

Accurate 3D contrast-free myocardial infarction delineation using a 4D dual-stream spatiotemporal feature learning framework. - Jinhao Liu; Xinglai Zhu; Chenchu Xu; Lei Xu 037; Zhifan Gao; Kemal Polat; Fayadh Alenezi (Appl. Soft Comput., 2023)

Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents. - Chenchu Xu; Yuhong Song; Dong Zhang 009; Leonardo Kayat Bittencourt; Sree Harsha Tirumani; Shuo Li 001 (Medical Image Anal., 2023)

Cardiac Physiology Knowledge-Driven Diffusion Model for Contrast-Free Synthesis Myocardial Infarction Enhancement. - Ronghui Qi; Xiaohu Li; Lei Xu 037; Jie Zhang; Yanping Zhang 001; Chenchu Xu (MICCAI (1), 2024)

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment. - Qi Zhang; Xiujian Liu; Heye Zhang; Chenchu Xu; Guang Yang 006; Yixuan Yuan; Tao Tan 002; Zhifan Gao (MICCAI (3), 2024)

Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network. - Boyan Wang; Xuegang Hu; Rongjun Ge; Chenchu Xu; Jinglin Zhang; Zhifan Gao; Shu Zhao; Kemal Polat (Artif. Intell. Medicine, 2024)

Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework. - Chenchu Xu; Xue Wu; Boyan Wang; Jie Chen 025; Zhifan Gao; Xiujian Liu; Heye Zhang (Comput. Medical Imaging Graph., 2024)

Deep Generative Adversarial Reinforcement Learning for Semi-Supervised Segmentation of Low-Contrast and Small Objects in Medical Images. - Chenchu Xu; Tong Zhang; Dong Zhang 009; Dingwen Zhang; Junwei Han 001 (IEEE Trans. Medical Imaging, 2024)

Interactive prototype learning and self-learning for few-shot medical image segmentation. - Yuhui Song; Chenchu Xu; Boyan Wang; Xiuquan Du; Jie Chen 025; Yanping Zhang 001; Shuo Li 001 (Artif. Intell. Medicine, 2025)

Hierarchical candidate recursive network for highlight restoration in endoscopic videos. - Chenchu Xu; Jiangnan Wu; Dong Zhang 009; Longfei Han; Dingwen Zhang; Junwei Han 001 (Expert Syst. Appl., 2025)

Generating Transferable Adversarial Point Clouds via Autoencoders for 3D Object Classification. - Mengyao Xu; Hai Chen; Chonghao Zhang; Yuanjun Zou; Chenchu Xu; Yanping Zhang; Fulan Qian (IET Comput. Vis., 2025)

Knowledge-driven interpretative conditional diffusion model for contrast-free myocardial infarction enhancement synthesis. - Ronghui Qi; Min Tao; Chenchu Xu; Xiaohu Li; Siyuan Pan; Jie Chen 025; Shuo Li 001 (Medical Image Anal., 2025)

MHKD: Multi-Step Hybrid Knowledge Distillation for Low-Resolution Whole Slide Images Glomerulus Detection. - Xiangsen Zhang; Longfei Han; Chenchu Xu; Zhaohui Zheng 004; Jin Ding; Xianghui Fu; Dingwen Zhang; Junwei Han 001 (IEEE J. Biomed. Health Informatics, 2025)

A Comprehensive Understanding of the Impact of Data Augmentation on the Transferability of 3D Adversarial Examples. - Fulan Qian; Yuanjun Zou; Mengyao Xu; Xuejun Zhang; Chonghao Zhang; Chenchu Xu; Hai Chen (ACM Trans. Knowl. Discov. Data, 2025)

Multi-Domain Adversarial Variational Bayesian Inference for Domain Generalization. - Zhifan Gao; Saidi Guo; Chenchu Xu; Jinglin Zhang; Mingming Gong; Javier Del Ser; Shuo Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Common-Unique Decomposition Driven Diffusion Model for Contrast-Enhanced Liver MR Images Multi-Phase Interconversion. - Chenchu Xu; Shijie Tian; Boyan Wang; Jie Zhang; Kemal Polat; Adi Alhudhaif; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)