A Self-Localization Scheme with Grid-Based Anchor Selection in Wireless Sensor Networks. - Wei Wang 056; Haoshan Shi; Pengyu Huang; Fuping Wu; Dingyi Fang; Xiaojiang Chen; Yun Xiao (CWSN, 2014)

An Efficient Variable Dimension PSO Algorithm for Mobile Node Tour Planning in WSN. - Wei Wang 056; Haoshan Shi; Pengyu Huang; Fuping Wu; Dingyi Fang; Xiaojiang Chen; Xiaoyan Yin 001 (CSAR@SenSys, 2015)

A Grid-Based Linear Least Squares Self-Localization Algorithm in Wireless Sensor Network. - Wei Wang 056; Haoshan Shi; Pengyu Huang; Dingyi Fang; Xiaojiang Chen; Yun Xiao; Fuping Wu (Int. J. Distributed Sens. Networks, 2015)

VD-PSO: An efficient mobile sink routing algorithm in wireless sensor networks. - Wei Wang 056; Haoshan Shi; Dajun Wu; Pengyu Huang; Baojian Gao; Fuping Wu; Dan Xu 003; Xiaojiang Chen (Peer-to-Peer Netw. Appl., 2017)

Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework. - Lei Li 020; Guang Yang 006; Fuping Wu; Tom Wong; Raad Mohiaddin; David N. Firmin; Jenny Keegan; Lingchao Xu; Xiahai Zhuang (STACOM@MICCAI, 2018)

Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images. - Fuping Wu; Lei Li 020; Guang Yang 006; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Lingchao Xu; Xiahai Zhuang (MICCAI (4), 2018)

Atrial scars segmentation via potential learning in the graph-cuts framework. - Lei Li 020; Fuping Wu; Guang Yang 006; Tom Wong; Raad Mohiaddin; David N. Firmin; Jenny Keegan; Lingchao Xu; Xiahai Zhuang (CoRR, 2018)

Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. - Lei Li 020; Veronika A. Zimmer; Wangbin Ding; Fuping Wu; Liqin Huang; Julia A. Schnabel; Xiahai Zhuang (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Finding Good Mobile Sink Information Collection Paths with Quicker Search Time: A Single-Particle Multi-dimensional Search Algorithm-Based Approach. - Pengyu Huang; Fuping Wu; Wei Wang 056; Haiyan Liu; Qin Liu 006 (SimuTools (2), 2020)

Atrial scar quantification via multi-scale CNN in the graph-cuts framework. - Lei Li 020; Fuping Wu; Guang Yang 006; Lingchao Xu; Tom Wong; Raad Mohiaddin; David N. Firmin; Jennifer Keegan; Xiahai Zhuang (Medical Image Anal., 2020)

CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation. - Fuping Wu; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2020)

PRComm: Anti-Interference Cross-Technology Communication Based on Pseudo-random Sequence. - Wei Wang 056; Dingsheng He; Wan Jia; Xiaojiang Chen; Tao Gu 001; Haiyan Liu; Xiaoyang Sun; Guannan Chen; Fuping Wu (IPSN, 2021)

Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. - Fuping Wu; Lei Li 020; Xiahai Zhuang (STACOM@MICCAI, 2021)

Multi-Modality Cardiac Image Analysis with Deep Learning. - Lei Li 020; Fuping Wu; Sihang Wang; Xiahai Zhuang (CoRR, 2021)

Disentangle domain features for cross-modality cardiac image segmentation. - Chenhao Pei; Fuping Wu; Liqin Huang; Xiahai Zhuang (Medical Image Anal., 2021)

Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation. - Fuping Wu; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2021)

Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation. - Zheyao Gao; Lei Li 020; Fuping Wu; Sihan Wang; Xiahai Zhuang (MICCAI (1), 2022)

An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images. - Yuhan Zheng; Fuping Wu; Bartlomiej W. Papiez (MIDOG/DRAC@MICCAI, 2022)

Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. - Sihan Wang; Fuping Wu; Lei Li 020; Zheyao Gao; Byung-Woo Hong; Xiahai Zhuang (STACOM@MICCAI, 2022)

A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. - Zheyao Gao; Yuanye Liu; Fuping Wu; Nannan Shi; Yuxin Shi; Xiahai Zhuang (MICCAI (5), 2023)

Multi-task Cooperative Learning via Searching for Flat Minima. - Fuping Wu; Le Zhang 005; Yang Sun 003; Yuanhan Mo; Thomas E. Nichols; Bartlomiej W. Papiez (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. - Kaiwen Wan; Lei Li 020; Dengqiang Jia; Shangqi Gao; Wei Qian; Yingzhi Wu; Huandong Lin; Xiongzheng Mu; Xin Gao; Sijia Wang; Fuping Wu; Xiahai Zhuang (CoRR, 2023)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang 057; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 2023)

A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation. - Zheyao Gao; Fuping Wu; Weiguo Gao; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2023)

Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation. - Fuping Wu; Xiahai Zhuang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. - Kaiwen Wan; Lei Li 020; Dengqiang Jia; Shangqi Gao; Wei Qian; Yingzhi Wu; Huandong Lin; Xiongzheng Mu; Xin Gao; Sijia Wang; Fuping Wu; Xiahai Zhuang (Medical Image Anal., 2023)

KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation. - Nicharee Srikijkasemwat; Soumya Snigdha Kundu; Fuping Wu; Bartlomiej W. Papiez (MICAD, 2024)

Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data. - Kaiwen Wan; Bomin Wang; Fuping Wu; Haiyu Gong; Xiahai Zhuang (MICCAI (11), 2024)

Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. - Zilong Wang; Xinyang Ge; Xiaorong Chen; Lei Li 020; Wangbin Ding; Yuanye Liu; Fuping Wu; Dengqiang Jia (ShapeMI@MICCAI, 2024)

Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis. - Jian-Qing Zheng; Yuanhan Mo; Yang Sun 003; Jiahua Li; Fuping Wu; Ziyang Wang; Tonia Vincent; Bartlomiej W. Papiez (CoRR, 2024)

Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. - Yuanhan Mo; Fangde Liu; Guang Yang 006; Shuo Wang 011; Jian-Qing Zheng; Fuping Wu; Bartlomiej W. Papiez; Douglas McIlwraith; Taigang He; Yike Guo (Medical Image Anal., 2024)

Multi-Source Domain Adaptation for Medical Image Segmentation. - Chenhao Pei; Fuping Wu; Mingjing Yang; Lin Pan; Wangbin Ding; Jinwei Dong; Liqin Huang; Xiahai Zhuang (IEEE Trans. Medical Imaging, 2024)

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging. - Yuanye Liu; Zheyao Gao; Nannan Shi; Fuping Wu; Yuxin Shi; Qingchao Chen; Xiahai Zhuang (Medical Image Anal., 2025)

InDeed: Interpretable image deep decomposition with guaranteed generalizability. - Sihan Wang; Shangqi Gao; Fuping Wu; Xiahai Zhuang (CoRR, 2025)

Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST. - Fuping Wu; Bartlomiej W. Papiez (CoRR, 2025)

MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching. - Fuping Wu; Le Zhang 005; Yang Sun 003; Yuanhan Mo; Thomas E. Nichols; Bartlomiej W. Papiez (IEEE Trans. Medical Imaging, 2025)

DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation. - Le Zhang 005; Fuping Wu; Kevin Bronik; Bartlomiej W. Papiez (IEEE J. Biomed. Health Informatics, 2025)