Gongning Luo - RankMe

111 papers A* 3Misc 1Journal 73Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation. AAAI Fanding Li, Xiangyu Li, Xianghe Su, Xingyu Qiu, Suyu Dong, Wei Wang, Kuanquan Wang, Gongning Luo, Shuo Li
2026	J	`jnl`	Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI. Inf. Fusion Xiangyu Li, Yifan Liu, Manxi Xu, Hongwei Yu, Jixin Luan, Aocai Yang, Bing Liu, Amir Shmuel, Yuan Zhen, Gongning Luo, Wei Wang, Guolin Ma, Kuanquan Wang
2026	J	`jnl`	Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos. CoRR Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xian, Hongxing Lin, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li
2026	J	`jnl`	Beyond benchmarks of IUGC: Rethinking requirements of deep learning method for intrapartum ultrasound biometry from fetal ultrasound videos. Medical Image Anal. Jieyun Bai, Zihao Zhou, Yitong Tang, Jie Gan, Zhuonan Liang, Jianan Fan, Lisa Mcguire, Jillian Clarke, Tom Weidong Cai, Jacqueline Spurway, Yubo Tang, Shiye Wang, Wenda Shen, Wangwang Yu, Yihao Li, Philippe Zhang, Weili Jiang, Yongjie Li, Salem Muhsin Ali Binqahal Al Nasim, Arsen Abzhanov, Numan Saeed, Mohammad Yaqub, Zunhui Xia, Hongxing Li, Libin Lan, Jayroop Ramesh, Valentin Bacher, Mark Eid, Hoda Kalabizadeh, Christian Rupprecht, Ana I. L. Namburete, Pak-Hei Yeung, Madeleine K. Wyburd, Nicola K. Dinsdale, Assanali Serikbey, Jiankai Li, Sung-Liang Chen, Zicheng Hu, Nana Liu, Yian Deng, Wei Hu, Cong Tan, Wenfeng Zhang, Mai Tuyet Nhi, Gregor Koehler, Rapheal Stock, Klaus Maier-Hein, Marawan Elbatel, Xiaomeng Li, Saad Slimani, Victor M. Campello, Benard Ohene-Botwe, Isaac Khobo, Yuxin Huang, Zhenyan Han, Hongying Hou, Di Qiu, Zheng Zheng, Gongning Luo, Dong Ni, Yaosheng Lu, Karim Lekadir, Shuo Li
2026	J	`jnl`	Causality-Adjusted Data Augmentation for Domain Continual Medical Image Segmentation. IEEE J. Biomed. Health Informatics Zhanshi Zhu, Qing Dong, Gongning Luo, Wei Wang, Suyu Dong, Kuanquan Wang, Ye Tian, Guohua Wang, Shuo Li
2026	J	`jnl`	Ctfnet: toward high generalization medical image segmentation via coarse-to-fine structures for multi-center datasets. Vis. Comput. Dong Sui, Sitong Bao, Donghui Lei, Yacong Li, Maozu Guo, Xiangyu Li, Kuanquan Wang, Gongning Luo
2026	J	`jnl`	FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation. CoRR Jieyun Bai, Yitong Tang, Zihao Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Munoz, Hongyu Liu, Hui Meng, Nianjiang Lv, Bo Deng, Yu Chen, Zilun Peng, Yusong Xiao, Li Xiao, Nam-Khanh Tran, Dac-Phu Phan-Le, Hai-Dang Nguyen, Xiao Liu, Jiale Hu, Mingxu Huang, Jitao Liang, Chaolu Feng, Xuezhi Zhang, Lyuyang Tong, Bo Du, Ha-Hieu Pham, Thanh-Huy Nguyen, Min Xu, Juntao Jiang, Jiangning Zhang, Yong Liu, Md. Kamrul Hasan, Jie Gan, Zhuonan Liang, Weidong Cai, Yuxin Huang, Gongning Luo, Mohammad Yaqub, Karim Lekadir
2026	J	`jnl`	Fully Kolmogorov-Arnold Deep Model in Medical Image Segmentation. CoRR Xingyu Qiu, Xinghua Ma, Dong Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2026	J	`jnl`	GL 2 T -Diff: Medical image translation via spatial-frequency fusion diffusion models. Comput. Vis. Image Underst. Dong Sui, Nanting Song, Xiao Tian, Han Zhou, Yacong Li, Maozu Guo, Kuanquan Wang, Gongning Luo
2026	J	`jnl`	Masked graph convolutional neural network for medical image segmentation with anatomical priors. Neurocomputing Yuzhen Li, Dong Liang, Xingyu Qiu, Xiangyu Li, Kuanquan Wang, Gongning Luo
2026	J	`jnl`	MedTri: A Platform for Structured Medical Report Normalization to Enhance Vision-Language Pretraining. CoRR Yuetan Chu, Xinhua Ma, Xinran Jin, Gongning Luo, Xin Gao
2026	J	`jnl`	PCA-Enhanced Probabilistic U-Net for Effective Ambiguous Medical Image Segmentation. CoRR Xiangyu Li, Chenglin Wang, Qiantong Shen, Fanding Li, Wei Wang, Kuanquan Wang, Yi Shen, Baochun Zhao, Gongning Luo
2026	J	`jnl`	PLATO: ProbabiListic hierArchical mulTi-head mOdel for plug-and-play ambiguous medical image segmentation. Knowl. Based Syst. Xiangyu Li, Fanding Li, Yongfeng Yuan, Suyu Dong, Kuanquan Wang, Yi Shen, Guohua Wang, Gongning Luo, Shuo Li
2026	J	`jnl`	SCULPT: Semantic-aware causal prompt tuning for out-of-distribution detection of whole slide images. Knowl. Based Syst. Pengzhong Sun, Xiangyu Li, Dong Liang, Jun Liu, Zhanshi Zhu, Xiaokun Li, Suyu Dong, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2026	J	`jnl`	Topology-aware cross-modal learning with dynamic gradient modulation for survival prediction. Expert Syst. Appl. Yupeng Yuan, Guangli Li, Nan Jiang, Jingqin Lv, Chengxin Ye, Donghong Ji, Yafeng Ren, Gongning Luo, Hongbin Zhang
2025	J	`jnl`	A 3D self-configuring hybrid transformer with multi-task learning for 3D automated breast ultrasound segmentation. Comput. Biol. Medicine Hyunsu Jeong, Chiho Yoon, Hyunseok Lim, JongJun Won, Kiduk Kim, Gongning Luo, Mingwang Xu, Namkug Kim, Chulhong Kim
2025	—	`conf`	A Causal-Holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients. MICCAI (8) Xinghua Ma, Xingyu Qiu, Yuetan Chu, Kuanquan Wang, Zhaowen Qiu, Gongning Luo, Xin Gao
2025	—	`conf`	A Dual-Domain Framework with Wavelet Attention for Cardiac Ultrasound Image Quality Assessment. BIBM Dong Sui, Zhehao Xu, Nanting Song, Yacong Li, Maozu Guo, Gongning Luo, Kuanquan Wang, Henggui Zhang
2025	A*	`conf`	A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography. AAAI Xinghua Ma, Xinyan Fang, Mingye Zou, Gongning Luo, Wei Wang, Kuanquan Wang, Zhaowen Qiu, Xin Gao, Shuo Li
2025	J	`jnl`	A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images. Medical Biol. Eng. Comput. Yuyang Zhang, Gongning Luo, Wei Wang, Shaodong Cao, Suyu Dong, Daren Yu, Xiaoyun Wang, Kuanquan Wang
2025	J	`jnl`	Adjacency-Aware Fuzzy Label Learning for Skin Disease Diagnosis. IEEE Trans. Fuzzy Syst. Murong Zhou, Baifu Zuo, Guohua Wang, Gongning Luo, Fanding Li, Suyu Dong, Wei Wang, Kuanquan Wang, Xiangyu Li, Lifeng Xu
2025	J	`jnl`	Advancing electrocardiogram synthesis: Analyzing key metrics for enhanced evaluation. Comput. Biol. Medicine Wei Wang, Jing Ma, Kuanquan Wang, Yuxin Lin, Suyu Dong, Xiaokun Li, Gongning Luo
2025	J	`jnl`	Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation. CoRR Fanding Li, Xiangyu Li, Xianghe Su, Xingyu Qiu, Suyu Dong, Wei Wang, Kuanquan Wang, Gongning Luo, Shuo Li
2025	J	`jnl`	BEA-CACE: branch-endpoint-aware double-DQN for coronary artery centerline extraction in CT angiography images. Int. J. Comput. Assist. Radiol. Surg. Yuyang Zhang, Gongning Luo, Wei Wang, Shaodong Cao, Suyu Dong, Daren Yu, Xiaoyun Wang, Kuanquan Wang
2025	—	`conf`	CLEAR-Net: A Discretization-Aware Framework for Scale and Domain Adaptive Metal Artifact Reduction in CT. BIBM Mingye Zou, Xinghua Ma, Yacong Li, Taiping Qu, Kuanquan Wang, Gongning Luo
2025	J	`jnl`	Convergent-Diffusion Denoising Model for multi-scenario CT Image Reconstruction. Comput. Medical Imaging Graph. Xinghua Ma, Mingye Zou, Xinyan Fang, Gongning Luo, Wei Wang, Suyu Dong, Xiangyu Li, Kuanquan Wang, Qing Dong, Ye Tian, Shuo Li
2025	J	`jnl`	DM3diff: A novel multi-center, multi-modality and multi-source medical image segmentation framework based on DWT embeded diffusion model. Knowl. Based Syst. Dong Sui, Xiao Tian, Yacong Li, Maozu Guo, Xiangyu Li, Kuanquan Wang, Gongning Luo
2025	J	`jnl`	Diffusion model for medical image denoising, reconstruction and translation. Comput. Medical Imaging Graph. Wei Wang, Jiayu Xia, Gongning Luo, Suyu Dong, Xiangyu Li, Jie Wen, Shuo Li
2025	J	`jnl`	Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models. CoRR Xingyu Qiu, Mengying Yang, Xinghua Ma, Dong Liang, Yuzhen Li, Fanding Li, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2025	—	`conf`	FMPNet: A Multi-Features Fusion Framework for Predicting Neoadjuvant Chemoradiotherapy Efficacy in Locally Advanced Rectal Cancer. BIBM Dong Sui, Nanting Song, Zhehao Xu, Yacong Li, Maozu Guo, Gongning Luo, Kuanquan Wang, Henggui Zhang
2025	J	`jnl`	Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow. CoRR Juexiao Zhou, Zhongyi Han, Mankun Xin, Xingwei He, Guotao Wang, Jiaoyan Song, Gongning Luo, Wenjia He, Xintong Li, Yuetan Chu, Juanwen Chen, Bo Wang, Xia Wu, Wenwen Duan, Zhixia Guo, Liyan Bai, Yilin Pan, Xuefei Bi, Lu Liu, Long Feng, Xiaonan He, Xin Gao
2025	A*	`conf`	Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network. CVPR Xingyu Qiu, Mengying Yang, Xinghua Ma, Fanding Li, Dong Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2025	J	`jnl`	Finding Local Diffusion Schrödinger Bridge using Kolmogorov-Arnold Network. CoRR Xingyu Qiu, Mengying Yang, Xinghua Ma, Fanding Li, Dong Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2025	J	`jnl`	Improving Representation of High-Frequency Components for Medical Visual Foundation Models. IEEE Trans. Medical Imaging Yuetan Chu, Yilan Zhang, Zhongyi Han, Changchun Yang, Longxi Zhou, Gongning Luo, Chao Huang, Xin Gao
2025	J	`jnl`	MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction. Medical Image Anal. Xingyu Qiu, Dong Liang, Gongning Luo, Xiangyu Li, Wei Wang, Kuanquan Wang, Shuo Li
2025	J	`jnl`	MedFILIP: Medical Fine-Grained Language-Image Pre-Training. IEEE J. Biomed. Health Informatics Xinjie Liang, Xiangyu Li, Fanding Li, Jie Jiang, Qing Dong, Wei Wang, Kuanquan Wang, Suyu Dong, Gongning Luo, Shuo Li
2025	J	`jnl`	MedFILIP: Medical Fine-grained Language-Image Pre-training. CoRR Xinjie Liang, Xiangyu Li, Fanding Li, Jie Jiang, Qing Dong, Wei Wang, Kuanquan Wang, Suyu Dong, Gongning Luo, Shuo Li
2025	J	`jnl`	Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy. Briefings Bioinform. Long Xu, Qiang Yang, Weihe Dong, Xiaokun Li, Kuanquan Wang, Suyu Dong, Xianyu Zhang, Tiansong Yang, Gongning Luo, Xingyu Liao, Xin Gao, Guohua Wang
2025	J	`jnl`	Point-annotation supervision for robust 3D pulmonary infection segmentation by CT-based cascading deep learning. Comput. Biol. Medicine Yuetan Chu, Jianpeng Wang, Yaxin Xiong, Yuan Gao, Xin Liu, Gongning Luo, Xin Gao, Mingyan Zhao, Chao Huang, Zhaowen Qiu, Xianglin Meng
2025	J	`jnl`	Revisiting Data Scaling Law for Medical Segmentation. CoRR Yuetan Chu, Zhongyi Han, Gongning Luo, Xin Gao
2025	—	`conf`	Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction. MICCAI (13) Dong Liang, Xingyu Qiu, Yuzhen Li, Wei Wang, Kuanquan Wang, Suyu Dong, Gongning Luo
2025	J	`jnl`	Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction. CoRR Dong Liang, Xingyu Qiu, Yuzhen Li, Wei Wang, Kuanquan Wang, Suyu Dong, Gongning Luo
2025	—	`conf`	Synergistic Multi-Task Learning for a Unified Framework of Intelligent Coronary Artery Disease Reporting and Data System. BIBM Xinghua Ma, Mingye Zou, Zhaowen Qiu, Kuanquan Wang, Gongning Luo, Xin Gao
2025	J	`jnl`	TCRdesign: an antigen-specific generative language model for Briefings Bioinform. Xiaokun Li, Qiang Yang, Long Xu, Weihe Dong, Kuanquan Wang, Suyu Dong, Wei Wang, Gongning Luo, Xianyu Zhang, Tiansong Yang, Xin Gao, Guohua Wang
2025	J	`jnl`	THLANet: A deep learning framework for predicting TCR-pHLA binding in immunotherapy applications. PLoS Comput. Biol. Long Xu, Qiang Yang, Weihe Dong, Xiaokun Li, Kuanquan Wang, Suyu Dong, Gongning Luo, Xianyu Zhang, Tiansong Yang, Xin Gao, Guohua Wang
2025	J	`jnl`	TransDiffECG: Semantically controllable ECG synthesis via transformer-based diffusion modeling. J. Biomed. Informatics Yuxin Lin, Jing Ma, Suyu Dong, Chaoyu Sun, Wanting Cong, Kuanquan Wang, Gongning Luo, Wei Wang
2025	J	`jnl`	Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. CoRR Gongning Luo, Mingwang Xu, Hongyu Chen, Xinjie Liang, Xing Tao, Dong Ni, Hyunsu Jeong, Chulhong Kim, Raphael Stock, Michael Baumgartner, Yannick Kirchhoff, Maximilian Rokuss, Klaus H. Maier-Hein, Zhikai Yang, Tianyu Fan, Nicolas Boutry, Dmitry Tereshchenko, Arthur Moine, Maximilien Charmetant, Jan Sauer, Hao Du, Xiang-Hui Bai, Vipul Pai Raikar, Ricardo Montoya-del-Angel, Robert Marti, Miguel Luna, Dongmin Lee, Abdul Qayyum, Moona Mazher, Qihui Guo, Changyan Wang, Navchetan Awasthi, Qiaochu Zhao, Wei Wang, Kuanquan Wang, Qiucheng Wang, Suyu Dong
2024	—	`conf`	Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling. MICCAI (11) Yuetan Chu, Changchun Yang, Gongning Luo, Zhaowen Qiu, Xin Gao
2024	—	`conf`	Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model. BIBM Yuxin Lin, Jing Ma, Wei Wang, Zhihao Wu, Suyu Dong, Gongning Luo, Kuanquan Wang
2024	J	`jnl`	Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation. Medical Image Anal. Zhanshi Zhu, Xinghua Ma, Wei Wang, Suyu Dong, Kuanquan Wang, Lianming Wu, Gongning Luo, Guohua Wang, Shuo Li
2024	J	`jnl`	Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. CoRR Yuetan Chu, Gongning Luo, Longxi Zhou, Shaodong Cao, Guolin Ma, Xianglin Meng, Juexiao Zhou, Changchun Yang, Dexuan Xie, Ricardo Henao, Xigang Xiao, Lianming Wu, Zhaowen Qiu, Xin Gao
2024	J	`jnl`	DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins. Bioinform. Xiaokun Li, Qiang Yang, Long Xu, Weihe Dong, Gongning Luo, Wei Wang, Suyu Dong, Kuanquan Wang, Ping Xuan, Xianyu Zhang, Xin Gao
2024	—	`conf`	EdgeReg: Edge-assisted Unsupervised Medical Image Registration. BIBM Jun Liu, Wenyi Wang, Wei Wang, Gongning Luo, Yacong Li, Kuanquan Wang
2024	J	`jnl`	Efficient MedSAMs: Segment Anything in Medical Images on Laptop. CoRR Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher J. Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang
2024	J	`jnl`	HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses. Briefings Bioinform. Qiang Yang, Long Xu, Weihe Dong, Xiaokun Li, Kuanquan Wang, Suyu Dong, Xianyu Zhang, Tiansong Yang, Feng Jiang, Bin Zhang, Gongning Luo, Xin Gao, Guohua Wang
2024	J	`jnl`	Improving Representation of High-frequency Components for Medical Foundation Models. CoRR Yuetan Chu, Yilan Zhang, Zhongyi Han, Changchun Yang, Longxi Zhou, Gongning Luo, Xin Gao
2024	Misc	`conf`	Mutualreg: Mutual Learning for Unsupervised Medical Image Registration. ICASSP Jun Liu, Wenyi Wang, Nuo Shen, Wei Wang, Kuanquan Wang, Qince Li, Yongfeng Yuan, Henggui Zhang, Gongning Luo
2024	—	`conf`	Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography. MICCAI (11) Xinghua Ma, Mingye Zou, Xinyan Fang, Yang Liu, Gongning Luo, Wei Wang, Kuanquan Wang, Zhaowen Qiu, Xin Gao, Shuo Li
2023	—	`conf`	A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal Intelligence. BIBM Xiao Tian, Dong Sui, Weifeng Liu, Maozu Guo, Gongning Luo, Kuanquan Wang
2023	J	`jnl`	Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning. Medical Image Anal. Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2023	J	`jnl`	ColonNet: A novel polyp segmentation framework based on LK-RFB and GPPD. Comput. Biol. Medicine Dong Sui, Weifeng Liu, Yue Zhang, Yang Li, Gongning Luo, Kuanquan Wang, Maozu Guo
2023	J	`jnl`	Curriculum label distribution learning for imbalanced medical image segmentation. Medical Image Anal. Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2023	J	`jnl`	Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. CoRR Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao
2023	—	`conf`	Graph Convolutional Network with Neural Inductive Matrix Completion for Predicting Disease-Related LncRNA Genes. BIBM Qiang Yang, Shuxin Zhang, Suyu Dong, Long Xu, Weihe Dong, Xiaokun Li, Pengzhong Sun, Feng Jiang, Xianyu Zhang, Gongning Luo
2023	J	`jnl`	Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network. Briefings Bioinform. Weihe Dong, Qiang Yang, Jian Wang, Long Xu, Xiaokun Li, Gongning Luo, Xin Gao
2023	—	`conf`	Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification. BIBM Pengzhong Sun, Wei Wang, Xiangyu Li, Suyu Dong, Shuo Li, Kuanquan Wang, Gongning Luo
2023	J	`jnl`	The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. CoRR Xiangyu Li, Gongning Luo, Kuanquan Wang, Hongyu Wang, Jun Liu, Xinjie Liang, Jie Jiang, Zhenghao Song, Chunyue Zheng, Haokai Chi, Mingwang Xu, Yingte He, Xinghua Ma, Jingwen Guo, Yifan Liu, Chuanpu Li, Zeli Chen, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Antoine P. Sanner, Anirban Mukhopadhyay, Ahmed E. Othman, Xingyu Zhao, Weiping Liu, Jinhuang Zhang, Xiangyuan Ma, Qinghui Liu, Bradley J. MacIntosh, Wei Liang, Moona Mazher, Abdul Qayyum, Valeriia Abramova, Xavier Lladó, Shuo Li
2023	—	`conf`	Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model. MICCAI (10) Yuetan Chu, Longxi Zhou, Gongning Luo, Zhaowen Qiu, Xin Gao
2023	J	`jnl`	Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography. IEEE J. Biomed. Health Informatics Gongning Luo, Xinghua Ma, Jinwen Guo, Mingye Zou, Wei Wang, Yang Cao, Kuanquan Wang, Shuo Li
2023	J	`jnl`	Unsupervised Decomposition Networks for Bias Field Correction in MR Image. CoRR Dong Liang, Xingyu Qiu, Kuanquan Wang, Gongning Luo, Wei Wang, Yashu Liu
2023	—	`conf`	Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic Routing. BIBM Mingwang Xu, Wei Wang, Kuanquan Wang, Suyu Dong, Pengzhong Sun, Jinwei Sun, Gongning Luo
2022	J	`jnl`	A contrastive consistency semi-supervised left atrium segmentation model. Comput. Medical Imaging Graph. Yashu Liu, Wei Wang, Gongning Luo, Kuanquan Wang, Shuo Li
2022	J	`jnl`	Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
2022	—	`conf`	Flexible ConvNext Block Based Multi-task Learning Framework for Liver MRI Images Analysis. BIBM Dong Sui, Weifeng Liu, Maozu Guo, Yang Li, Lei Zhang, Gongning Luo, Kuanquan Wang
2022	J	`jnl`	Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. IEEE J. Biomed. Health Informatics Xiangyu Li, Gongning Luo, Wei Wang, Kuanquan Wang, Yue Gao, Shuo Li
2022	J	`jnl`	KIEGLFN: A unified acne grading framework on face images. Comput. Methods Programs Biomed. Yi Lin, Jingchi Jiang, Zhaoyang Ma, Dongxin Chen, Yi Guan, Haiyan You, Xue Cheng, Bingmei Liu, Gongning Luo
2022	—	`conf`	Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation. MICCAI (5) Dong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang, Shuo Li
2022	J	`jnl`	Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation. CoRR Dong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang, Shuo Li
2022	—	`conf`	ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment. MICCAI (3) Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2022	J	`jnl`	ULTRA: Uncertainty-aware Label Distribution Learning for Breast Tumor Cellularity Assessment. CoRR Xiangyu Li, Xinjie Liang, Gongning Luo, Wei Wang, Kuanquan Wang, Shuo Li
2021	J	`jnl`	The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. CoRR Vivek Singh Bawa, Gurkirt Singh, Francis Kaping'a, Inna Skarga-Bandurova, Elettra Oleari, Alice Leporini, Carmela Landolfo, Pengfei Zhao, Xi Xiang, Gongning Luo, Kuanquan Wang, Liangzhi Li, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin
2021	—	`conf`	Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries. MICCAI (6) Xinghua Ma, Gongning Luo, Wei Wang, Kuanquan Wang
2021	J	`jnl`	Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries. CoRR Xinghua Ma, Gongning Luo, Wei Wang, Kuanquan Wang
2020	—	`conf`	Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography. MICCAI (6) Yuyang Zhang, Gongning Luo, Wei Wang, Kuanquan Wang
2020	J	`jnl`	Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
2020	J	`jnl`	Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification. Medical Image Anal. Gongning Luo, Suyu Dong, Wei Wang, Kuanquan Wang, Shaodong Cao, Clara M. Tam, Henggui Zhang, Joanne Howey, Pavlo Ohorodnyk, Shuo Li
2020	J	`jnl`	Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography. Medical Image Anal. Suyu Dong, Gongning Luo, Clara M. Tam, Wei Wang, Kuanquan Wang, Shaodong Cao, Bo Chen, Henggui Zhang, Shuo Li
2020	J	`jnl`	Dynamically constructed network with error correction for accurate ventricle volume estimation. Medical Image Anal. Gongning Luo, Wei Wang, Clara M. Tam, Kuanquan Wang, Shaodong Cao, Henggui Zhang, Bo Chen, Shuo Li
2019	—	`conf`	A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image. MICCAI (1) Gongning Luo, Suyu Dong, Kuanquan Wang, Dong Zhang, Yue Gao, Xin Chen, Henggui Zhang, Shuo Li
2019	—	`conf`	A Framework for Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model. CinC Yashu Liu, Kuanquan Wang, Gongning Luo, Henggui Zhang
2019	—	`conf`	A Novel Spatio-Temporal Self-Supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data. CinC Gongning Luo, Kuanquan Wang, Naren Wulan, Shaodong Cao, Qince Li, Yongfeng Yuan, Henggui Zhang
2019	—	`conf`	An Automatic Cardiac Segmentation Framework Based on Multi-sequence MR Image. STACOM@MICCAI Yashu Liu, Wei Wang, Kuanquan Wang, Chengqin Ye, Gongning Luo
2019	J	`jnl`	An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image. CoRR Yashu Liu, Wei Wang, Kuanquan Wang, Chengqin Ye, Gongning Luo
2019	J	`jnl`	Cancelable biometric authentication system based on ECG. Multim. Tools Appl. Mohamed Hammad, Gongning Luo, Kuanquan Wang
2019	—	`conf`	Multi-step Cascaded Networks for Brain Tumor Segmentation. BrainLes@MICCAI (1) Xiangyu Li, Gongning Luo, Kuanquan Wang
2019	J	`jnl`	Multi-step Cascaded Networks for Brain Tumor Segmentation. CoRR Xiangyu Li, Gongning Luo, Kuanquan Wang
2019	—	`conf`	Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle. CinC Suyu Dong, Gongning Luo, Naren Wulan, Shaodong Cao, Kuanquan Wang, Henggui Zhang
2018	—	`conf`	A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on Cardiac Magnetic Resonance. CinC Gongning Luo, Kuanquan Wang, Shaodong Cao, Qince Li, Henggui Zhang
2018	J	`jnl`	Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images. IEEE Trans. Medical Imaging Chao Ma, Gongning Luo, Kuanquan Wang
2018	J	`jnl`	Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images. IEEE Trans. Biomed. Eng. Gongning Luo, Suyu Dong, Kuanquan Wang, Wangmeng Zuo, Shaodong Cao, Henggui Zhang
2018	J	`jnl`	Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images. CoRR Gongning Luo, Suyu Dong, Kuanquan Wang, Wangmeng Zuo, Shaodong Cao, Henggui Zhang
2018	—	`conf`	VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination. MICCAI (4) Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li
2018	J	`jnl`	VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination. CoRR Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li
2016	—	`conf`	A Combined Multi-scale Deep Learning and Random Forests Approach for Direct Left Ventricular Volumes Estimation in 3D Echocardiography. CinC Suyu Dong, Gongning Luo, Guanxiong Sun, Kuanquan Wang, Henggui Zhang
2016	—	`conf`	A Deep Learning Network for Right Ventricle Segmentation in Short-Axis MRI. CinC Gongning Luo, Ran An, Kuanquan Wang, Suyu Dong, Henggui Zhang
2016	—	`conf`	A Left Ventricular Segmentation Method on 3D Echocardiography Using Deep Learning and Snake. CinC Suyu Dong, Gongning Luo, Guanxiong Sun, Kuanquan Wang, Henggui Zhang
2016	—	`conf`	A Novel Left Ventricular Volumes Prediction Method Based on Deep Learning Network in Cardiac MRI. CinC Gongning Luo, Guanxiong Sun, Kuanquan Wang, Suyu Dong, Henggui Zhang
2016	J	`jnl`	A graph-based method for fitting planar B-spline curves with intersections. J. Comput. Des. Eng. Pengbo Bo, Gongning Luo, Kuanquan Wang
2016	—	`conf`	Cardiac left ventricular volumes prediction method based on atlas location and deep learning. BIBM Gongning Luo, Suyu Dong, Kuanquan Wang, Henggui Zhang
2016	—	`conf`	In Silico Investigation of Spontaneous Calcium Release on Premature Ventricular Contractions in Human Ventricles. CinC Jieyun Bai, Kuanquan Wang, Gongning Luo, Henggui Zhang
2015	J	`jnl`	Neuron anatomy structure reconstruction based on a sliding filter. BMC Bioinform. Gongning Luo, Dong Sui, Kuanquan Wang, Jinseok Chae