Fuping Wu - RankMe

56 papers Journal 36Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deformation-Recovery diffusion model (DRDM): Instance deformation for image manipulation and synthesis. Medical Image Anal. Jian-Qing Zheng, Yuanhan Mo, Yang Sun, Jiahua Li, Fuping Wu, Ziyang Wang, Tonia Vincent, Bartlomiej W. Papiez
2025	—	`ed.`	Comprehensive Analysis and Computing of Real-World Medical Images - First MICCAI Challenge, CARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings CARE@MICCAI Xiahai Zhuang, Wangbin Ding, Fuping Wu, Shangqi Gao, Lei Li, Sihan Wang
2025	J	`jnl`	DiffuSeg: Domain-Driven Diffusion for Medical Image Segmentation. IEEE J. Biomed. Health Informatics Le Zhang, Fuping Wu, Kevin Bronik, Bartlomiej W. Papiez
2025	—	`conf`	Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning. MLMI@MICCAI Le Zhang, Fuping Wu, Arun J. Thirunavukarasu, Kevin Bronik, Thomas E. Nichols, Bartlomiej W. Papiez
2025	J	`jnl`	Emerging Semantic Segmentation from Positive and Negative Coarse Label Learning. CoRR Le Zhang, Fuping Wu, Arun J. Thirunavukarasu, Kevin Bronik, Thomas E. Nichols, Bartlomiej W. Papiez
2025	J	`jnl`	InDeed: Interpretable image deep decomposition with guaranteed generalizability. CoRR Sihan Wang, Shangqi Gao, Fuping Wu, Xiahai Zhuang
2025	J	`jnl`	MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging. Medical Image Anal. Yuanye Liu, Zheyao Gao, Nannan Shi, Fuping Wu, Yuxin Shi, Qingchao Chen, Xiahai Zhuang
2025	J	`jnl`	MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching. IEEE Trans. Medical Imaging Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2025	J	`jnl`	Rethinking Foundation Models for Medical Image Classification through a Benchmark Study on MedMNIST. CoRR Fuping Wu, Bartlomiej W. Papiez
2025	—	`conf`	Uncertainty-Supervised Interpretable and Robust Evidential Segmentation. MICCAI (14) Yuzhu Li, An Sui, Fuping Wu, Xiahai Zhuang
2025	J	`jnl`	Uncertainty-Supervised Interpretable and Robust Evidential Segmentation. CoRR Yuzhu Li, An Sui, Fuping Wu, Xiahai Zhuang
2024	—	`conf`	Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data. MICCAI (11) Kaiwen Wan, Bomin Wang, Fuping Wu, Haiyu Gong, Xiahai Zhuang
2024	—	`conf`	Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution. ShapeMI@MICCAI Zilong Wang, Xinyang Ge, Xiaorong Chen, Lei Li, Wangbin Ding, Yuanye Liu, Fuping Wu, Dengqiang Jia
2024	J	`jnl`	Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis. CoRR Jian-Qing Zheng, Yuanhan Mo, Yang Sun, Jiahua Li, Fuping Wu, Ziyang Wang, Tonia Vincent, Bartlomiej W. Papiez
2024	—	`conf`	KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation. MICAD Nicharee Srikijkasemwat, Soumya Snigdha Kundu, Fuping Wu, Bartlomiej W. Papiez
2024	J	`jnl`	KneeXNeT: An Ensemble-Based Approach for Knee Radiographic Evaluation. CoRR Nicharee Srikijkasemwat, Soumya Snigdha Kundu, Fuping Wu, Bartlomiej W. Papiez
2024	J	`jnl`	Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. Medical Image Anal. Yuanhan Mo, Fangde Liu, Guang Yang, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo
2024	J	`jnl`	MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging. CoRR Yuanye Liu, Zheyao Gao, Nannan Shi, Fuping Wu, Yuxin Shi, Qingchao Chen, Xiahai Zhuang
2024	J	`jnl`	Multi-Source Domain Adaptation for Medical Image Segmentation. IEEE Trans. Medical Imaging Chenhao Pei, Fuping Wu, Mingjing Yang, Lin Pan, Wangbin Ding, Jinwei Dong, Liqin Huang, Xiahai Zhuang
2023	J	`jnl`	A New Framework of Swarm Learning Consolidating Knowledge From Multi-Center Non-IID Data for Medical Image Segmentation. IEEE Trans. Medical Imaging Zheyao Gao, Fuping Wu, Weiguo Gao, Xiahai Zhuang
2023	—	`conf`	A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. MICCAI (5) Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang
2023	J	`jnl`	A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. CoRR Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang
2023	—	`ed.`	Left Atrial and Scar Quantification and Segmentation - First Challenge, LAScarQS 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings LAScarQS@MICCAI Xiahai Zhuang, Lei Li, Sihan Wang, Fuping Wu
2023	J	`jnl`	Minimizing Estimated Risks on Unlabeled Data: A New Formulation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Fuping Wu, Xiahai Zhuang
2023	J	`jnl`	Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior. CoRR Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
2023	J	`jnl`	Multi-Task Cooperative Learning via Searching for Flat Minima. CoRR Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2023	J	`jnl`	Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding. Medical Image Anal. Kaiwen Wan, Lei Li, Dengqiang Jia, Shangqi Gao, Wei Qian, Yingzhi Wu, Huandong Lin, Xiongzheng Mu, Xin Gao, Sijia Wang, Fuping Wu, Xiahai Zhuang
2023	—	`conf`	Multi-task Cooperative Learning via Searching for Flat Minima. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez
2023	J	`jnl`	MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. Medical Image Anal. Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
2023	J	`jnl`	Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. CoRR Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang
2022	—	`conf`	An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images. MIDOG/DRAC@MICCAI Yuhan Zheng, Fuping Wu, Bartlomiej W. Papiez
2022	J	`jnl`	An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images. CoRR Yuhan Zheng, Fuping Wu, Bartlomiej W. Papiez
2022	J	`jnl`	Decoupling Predictions in Distributed Learning for Multi-Center Left Atrial MRI Segmentation. CoRR Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang
2022	—	`conf`	Decoupling Predictions in Distributed Learning for Multi-center Left Atrial MRI Segmentation. MICCAI (1) Zheyao Gao, Lei Li, Fuping Wu, Sihan Wang, Xiahai Zhuang
2022	J	`jnl`	MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images. CoRR Lei Li, Fuping Wu, Sihan Wang, Xinzhe Luo, Carlos Martín-Isla, Shuwei Zhai, Jianpeng Zhang, Yanfei Liu, Zhen Zhang, Markus J. Ankenbrand, Haochuan Jiang, Xiaoran Zhang, Linhong Wang, Tewodros Weldebirhan Arega, Elif Altunok, Zhou Zhao, Feiyan Li, Jun Ma, Xiaoping Yang, Élodie Puybareau, Ilkay Öksüz, Stéphanie Bricq, Weisheng Li, Kumaradevan Punithakumar, Sotirios A. Tsaftaris, Laura Maria Schreiber, Mingjing Yang, Guocai Liu, Yong Xia, Guotai Wang, Sergio Escalera, Xiahai Zhuang
2022	—	`conf`	Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels. STACOM@MICCAI Sihan Wang, Fuping Wu, Lei Li, Zheyao Gao, Byung-Woo Hong, Xiahai Zhuang
2021	J	`jnl`	Disentangle domain features for cross-modality cardiac image segmentation. Medical Image Anal. Chenhao Pei, Fuping Wu, Liqin Huang, Xiahai Zhuang
2021	J	`jnl`	Multi-Modality Cardiac Image Analysis with Deep Learning. CoRR Lei Li, Fuping Wu, Sihang Wang, Xiahai Zhuang
2021	—	`conf`	Multi-modality Cardiac Segmentation via Mixing Domains for Unsupervised Adaptation. STACOM@MICCAI Fuping Wu, Lei Li, Xiahai Zhuang
2021	—	`conf`	PRComm: Anti-Interference Cross-Technology Communication Based on Pseudo-random Sequence. IPSN Wei Wang, Dingsheng He, Wan Jia, Xiaojiang Chen, Tao Gu, Haiyan Liu, Xiaoyang Sun, Guannan Chen, Fuping Wu
2021	J	`jnl`	Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation. IEEE Trans. Medical Imaging Fuping Wu, Xiahai Zhuang
2021	J	`jnl`	Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation. CoRR Fuping Wu, Xiahai Zhuang
2020	J	`jnl`	Atrial scar quantification via multi-scale CNN in the graph-cuts framework. Medical Image Anal. Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Xiahai Zhuang
2020	J	`jnl`	CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation. IEEE Trans. Medical Imaging Fuping Wu, Xiahai Zhuang
2020	—	`conf`	Finding Good Mobile Sink Information Collection Paths with Quicker Search Time: A Single-Particle Multi-dimensional Search Algorithm-Based Approach. SimuTools (2) Pengyu Huang, Fuping Wu, Wei Wang, Haiyan Liu, Qin Liu
2020	—	`conf`	Random Style Transfer Based Domain Generalization Networks Integrating Shape and Spatial Information. M&Ms and EMIDEC/STACOM@MICCAI Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
2020	J	`jnl`	Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information. CoRR Lei Li, Veronika A. Zimmer, Wangbin Ding, Fuping Wu, Liqin Huang, Julia A. Schnabel, Xiahai Zhuang
2019	J	`jnl`	Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework. CoRR Lei Li, Fuping Wu, Guang Yang, Lingchao Xu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Xiahai Zhuang
2018	—	`conf`	Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images. MICCAI (4) Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang
2018	—	`conf`	Atrial Scar Segmentation via Potential Learning in the Graph-Cut Framework. STACOM@MICCAI Lei Li, Guang Yang, Fuping Wu, Tom Wong, Raad Mohiaddin, David N. Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang
2018	J	`jnl`	Atrial fibrosis quantification based on maximum likelihood estimator of multivariate images. CoRR Fuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang
2018	J	`jnl`	Atrial scars segmentation via potential learning in the graph-cuts framework. CoRR Lei Li, Fuping Wu, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jenny Keegan, Lingchao Xu, Xiahai Zhuang
2017	J	`jnl`	VD-PSO: An efficient mobile sink routing algorithm in wireless sensor networks. Peer-to-Peer Netw. Appl. Wei Wang, Haoshan Shi, Dajun Wu, Pengyu Huang, Baojian Gao, Fuping Wu, Dan Xu, Xiaojiang Chen
2015	J	`jnl`	A Grid-Based Linear Least Squares Self-Localization Algorithm in Wireless Sensor Network. Int. J. Distributed Sens. Networks Wei Wang, Haoshan Shi, Pengyu Huang, Dingyi Fang, Xiaojiang Chen, Yun Xiao, Fuping Wu
2015	—	`conf`	An Efficient Variable Dimension PSO Algorithm for Mobile Node Tour Planning in WSN. CSAR@SenSys Wei Wang, Haoshan Shi, Pengyu Huang, Fuping Wu, Dingyi Fang, Xiaojiang Chen, Xiaoyan Yin
2014	—	`conf`	A Self-Localization Scheme with Grid-Based Anchor Selection in Wireless Sensor Networks. CWSN Wei Wang, Haoshan Shi, Pengyu Huang, Fuping Wu, Dingyi Fang, Xiaojiang Chen, Yun Xiao