Neuron anatomy structure reconstruction based on a sliding filter. - Gongning Luo; Dong Sui; Kuanquan Wang; Jinseok Chae (BMC Bioinform., 2015)

Cardiac left ventricular volumes prediction method based on atlas location and deep learning. - Gongning Luo; Suyu Dong; Kuanquan Wang; Henggui Zhang (BIBM, 2016)

In Silico Investigation of Spontaneous Calcium Release on Premature Ventricular Contractions in Human Ventricles. - Jieyun Bai; Kuanquan Wang; Gongning Luo; Henggui Zhang (CinC, 2016)

A Left Ventricular Segmentation Method on 3D Echocardiography Using Deep Learning and Snake. - Suyu Dong; Gongning Luo; Guanxiong Sun; Kuanquan Wang; Henggui Zhang (CinC, 2016)

A Combined Multi-scale Deep Learning and Random Forests Approach for Direct Left Ventricular Volumes Estimation in 3D Echocardiography. - Suyu Dong; Gongning Luo; Guanxiong Sun; Kuanquan Wang; Henggui Zhang (CinC, 2016)

A Deep Learning Network for Right Ventricle Segmentation in Short-Axis MRI. - Gongning Luo; Ran An; Kuanquan Wang; Suyu Dong; Henggui Zhang (CinC, 2016)

A Novel Left Ventricular Volumes Prediction Method Based on Deep Learning Network in Cardiac MRI. - Gongning Luo; Guanxiong Sun; Kuanquan Wang; Suyu Dong; Henggui Zhang (CinC, 2016)

A graph-based method for fitting planar B-spline curves with intersections. - Pengbo Bo; Gongning Luo; Kuanquan Wang (J. Comput. Des. Eng., 2016)

A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on Cardiac Magnetic Resonance. - Gongning Luo; Kuanquan Wang; Shaodong Cao; Qince Li; Henggui Zhang (CinC, 2018)

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination. - Suyu Dong; Gongning Luo; Kuanquan Wang; Shaodong Cao; Ashley Mercado; Olga Shmuilovich; Henggui Zhang; Shuo Li 001 (MICCAI (4), 2018)

Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images. - Gongning Luo; Suyu Dong; Kuanquan Wang; Wangmeng Zuo; Shaodong Cao; Henggui Zhang (IEEE Trans. Biomed. Eng., 2018)

Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images. - Chao Ma 007; Gongning Luo; Kuanquan Wang (IEEE Trans. Medical Imaging, 2018)

Multi-step Cascaded Networks for Brain Tumor Segmentation. - Xiangyu Li 004; Gongning Luo; Kuanquan Wang (BrainLes@MICCAI (1), 2019)

A Framework for Left Atrium Segmentation on CT Images with Combined Detection Network and Level Set Model. - Yashu Liu 003; Kuanquan Wang; Gongning Luo; Henggui Zhang (CinC, 2019)

Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle. - Suyu Dong; Gongning Luo; Naren Wulan; Shaodong Cao; Kuanquan Wang; Henggui Zhang (CinC, 2019)

A Novel Spatio-Temporal Self-Supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data. - Gongning Luo; Kuanquan Wang; Naren Wulan; Shaodong Cao; Qince Li; Yongfeng Yuan; Henggui Zhang (CinC, 2019)

An Automatic Cardiac Segmentation Framework Based on Multi-sequence MR Image. - Yashu Liu 003; Wei Wang 169; Kuanquan Wang; Chengqin Ye; Gongning Luo (STACOM@MICCAI, 2019)

A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image. - Gongning Luo; Suyu Dong; Kuanquan Wang; Dong Zhang 009; Yue Gao 002; Xin Chen 025; Henggui Zhang; Shuo Li 001 (MICCAI (1), 2019)

Cancelable biometric authentication system based on ECG. - Mohamed Hammad; Gongning Luo; Kuanquan Wang (Multim. Tools Appl., 2019)

Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography. - Yuyang Zhang; Gongning Luo; Wei Wang 169; Kuanquan Wang (MICCAI (6), 2020)

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography. - Suyu Dong; Gongning Luo; Clara M. Tam; Wei Wang 169; Kuanquan Wang; Shaodong Cao; Bo Chen 013; Henggui Zhang; Shuo Li 001 (Medical Image Anal., 2020)

Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification. - Gongning Luo; Suyu Dong; Wei Wang 169; Kuanquan Wang; Shaodong Cao; Clara M. Tam; Henggui Zhang; Joanne Howey; Pavlo Ohorodnyk; Shuo Li 001 (Medical Image Anal., 2020)

Dynamically constructed network with error correction for accurate ventricle volume estimation. - Gongning Luo; Wei Wang 169; Clara M. Tam; Kuanquan Wang; Shaodong Cao; Henggui Zhang; Bo Chen 013; Shuo Li 001 (Medical Image Anal., 2020)

Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries. - Xinghua Ma; Gongning Luo; Wei Wang 169; Kuanquan Wang (MICCAI (6), 2021)

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods. - 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 001; et al. (CoRR, 2021)

Flexible ConvNext Block Based Multi-task Learning Framework for Liver MRI Images Analysis. - Dong Sui; Weifeng Liu; Maozu Guo 001; Yang Li; Lei Zhang; Gongning Luo; Kuanquan Wang (BIBM, 2022)

ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment. - Xiangyu Li 004; Xinjie Liang; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (MICCAI (3), 2022)

Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation. - Dong Liang 012; Jun Liu 080; Kuanquan Wang; Gongning Luo; Wei Wang 169; Shuo Li 001 (MICCAI (5), 2022)

A contrastive consistency semi-supervised left atrium segmentation model. - Yashu Liu 003; Wei Wang 169; Gongning Luo; Kuanquan Wang; Shuo Li 001 (Comput. Medical Imaging Graph., 2022)

KIEGLFN: A unified acne grading framework on face images. - Yi Lin; Jingchi Jiang; Zhaoyang Ma; Dongxin Chen; Yi Guan; Haiyan You; Xue Cheng; Bingmei Liu; Gongning Luo (Comput. Methods Programs Biomed., 2022)

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation. - Dong Liang 001; Jun Liu 080; Kuanquan Wang; Gongning Luo; Wei Wang 169; Shuo Li 001 (CoRR, 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation. - Xiangyu Li 004; Gongning Luo; Wei Wang 169; Kuanquan Wang; Yue Gao 002; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2022)

Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification. - Pengzhong Sun; Wei Wang 169; Xiangyu Li 004; Suyu Dong; Shuo Li 001; Kuanquan Wang; Gongning Luo (BIBM, 2023)

A Novel Effectiveness Assessment Framework for Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Based on Multi-modal Intelligence. - Xiao Tian; Dong Sui; Weifeng Liu; Maozu Guo 001; Gongning Luo; Kuanquan Wang (BIBM, 2023)

Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic Routing. - Mingwang Xu; Wei Wang 169; Kuanquan Wang; Suyu Dong; Pengzhong Sun; Jinwei Sun; Gongning Luo (BIBM, 2023)

Graph Convolutional Network with Neural Inductive Matrix Completion for Predicting Disease-Related LncRNA Genes. - Qiang Yang 015; Shuxin Zhang; Suyu Dong; Long Xu; Weihe Dong; Xiaokun Li; Pengzhong Sun; Feng Jiang 001; Xianyu Zhang; Gongning Luo (BIBM, 2023)

Topology-Preserving Computed Tomography Super-Resolution Based on Dual-Stream Diffusion Model. - Yuetan Chu; Longxi Zhou; Gongning Luo; Zhaowen Qiu; Xin Gao 001 (MICCAI (10), 2023)

The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge. - Xiangyu Li 004; Gongning Luo; Kuanquan Wang; Hongyu Wang; Jun Liu 080; Xinjie Liang; Jie Jiang; Zhenghao Song; Chunyue Zheng; Haokai Chi; Mingwang Xu; Yingte He; et al. (CoRR, 2023)

Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge. - Gongning Luo; Kuanquan Wang; Jun Liu 080; Shuo Li 001; Xinjie Liang; Xiangyu Li 004; Shaowei Gan; Wei Wang 169; Suyu Dong; Wenyi Wang; Pengxin Yu; Enyou Liu; et al. (CoRR, 2023)

Unsupervised Decomposition Networks for Bias Field Correction in MR Image. - Dong Liang 001; Xingyu Qiu; Kuanquan Wang; Gongning Luo; Wei Wang 169; Yashu Liu 003 (CoRR, 2023)

Multi-modality attribute learning-based method for drug-protein interaction prediction based on deep neural network. - Weihe Dong; Qiang Yang 015; Jian Wang; Long Xu; Xiaokun Li; Gongning Luo; Xin Gao 001 (Briefings Bioinform., 2023)

Trajectory-Aware Adaptive Imaging Clue Analysis for Guidewire Artifact Removal in Intravascular Optical Coherence Tomography. - Gongning Luo; Xinghua Ma; Jinwen Guo; Mingye Zou; Wei Wang 169; Yang Cao; Kuanquan Wang; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2023)

Curriculum label distribution learning for imbalanced medical image segmentation. - Xiangyu Li 004; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2023)

ColonNet: A novel polyp segmentation framework based on LK-RFB and GPPD. - Dong Sui; Weifeng Liu; Yue Zhang; Yang Li; Gongning Luo; Kuanquan Wang; Maozu Guo 001 (Comput. Biol. Medicine, 2023)

Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning. - Xiangyu Li 004; Xinjie Liang; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2023)

Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model. - Yuxin Lin; Jing Ma; Wei Wang 169; Zhihao Wu 002; Suyu Dong; Gongning Luo; Kuanquan Wang (BIBM, 2024)

EdgeReg: Edge-assisted Unsupervised Medical Image Registration. - Jun Liu 080; Wenyi Wang; Wei Wang 169; Gongning Luo; Yacong Li; Kuanquan Wang (BIBM, 2024)

Mutualreg: Mutual Learning for Unsupervised Medical Image Registration. - Jun Liu 080; Wenyi Wang; Nuo Shen; Wei Wang 169; Kuanquan Wang; Qince Li; Yongfeng Yuan; Henggui Zhang; Gongning Luo (ICASSP, 2024)

Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling. - Yuetan Chu; Changchun Yang; Gongning Luo; Zhaowen Qiu; Xin Gao 001 (MICCAI (11), 2024)

Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography. - Xinghua Ma; Mingye Zou; Xinyan Fang; Yang Liu; Gongning Luo; Wei Wang 169; Kuanquan Wang; Zhaowen Qiu; Xin Gao 001; Shuo Li 001 (MICCAI (11), 2024)

Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy. - Long Xu; Qiang Yang 015; Weihe Dong; Xiaokun Li; Kuanquan Wang; Suyu Dong; Xianyu Zhang; Tiansong Yang; Gongning Luo; Xingyu Liao; Xin Gao 001; Guohua Wang (Briefings Bioinform., 2024)

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses. - Qiang Yang 015; Long Xu; Weihe Dong; Xiaokun Li; Kuanquan Wang; Suyu Dong; Xianyu Zhang; Tiansong Yang; Feng Jiang 001; Bin Zhang 042; Gongning Luo; Xin Gao 001; et al. (Briefings Bioinform., 2024)

Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy. - Yuetan Chu; Gongning Luo; Longxi Zhou; Shaodong Cao; Guolin Ma; Xianglin Meng; Juexiao Zhou; Changchun Yang; Dexuan Xie; Ricardo Henao; Xigang Xiao; Lianming Wu; et al. (CoRR, 2024)

Improving Representation of High-frequency Components for Medical Foundation Models. - Yuetan Chu; Yilan Zhang; Zhongyi Han; Changchun Yang; Longxi Zhou; Gongning Luo; Xin Gao 001 (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation. - Zhanshi Zhu; Xinghua Ma; Wei Wang 169; Suyu Dong; Kuanquan Wang; Lianming Wu; Gongning Luo; Guohua Wang; Shuo Li 001 (Medical Image Anal., 2024)

A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography. - Xinghua Ma; Xinyan Fang; Mingye Zou; Gongning Luo; Wei Wang 169; Kuanquan Wang; Zhaowen Qiu; Xin Gao 001; Shuo Li 001 (AAAI, 2025)

Finding Local Diffusion Schrodinger Bridge using Kolmogorov-Arnold Network. - Xingyu Qiu; Mengying Yang; Xinghua Ma; Fanding Li; Dong Liang; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (CVPR, 2025)

Point-annotation supervision for robust 3D pulmonary infection segmentation by CT-based cascading deep learning. - Yuetan Chu; Jianpeng Wang; Yaxin Xiong; Yuan Gao; Xin Liu; Gongning Luo; Xin Gao 001; Mingyan Zhao; Chao Huang; Zhaowen Qiu; Xianglin Meng (Comput. Biol. Medicine, 2025)

Convergent-Diffusion Denoising Model for multi-scenario CT Image Reconstruction. - Xinghua Ma; Mingye Zou; Xinyan Fang; Gongning Luo; Wei Wang 169; Suyu Dong; Xiangyu Li 004; Kuanquan Wang; Qing Dong; Ye Tian; Shuo Li 001 (Comput. Medical Imaging Graph., 2025)

Diffusion model for medical image denoising, reconstruction and translation. - Wei Wang 169; Jiayu Xia; Gongning Luo; Suyu Dong; Xiangyu Li 004; Jie Wen 001; Shuo Li 001 (Comput. Medical Imaging Graph., 2025)

MeMGB-Diff: Memory-Efficient Multivariate Gaussian Bias Diffusion Model for 3D bias field correction. - Xingyu Qiu; Dong Liang 001; Gongning Luo; Xiangyu Li 004; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (Medical Image Anal., 2025)

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge. - Gongning Luo; Mingwang Xu; Hongyu Chen; Xinjie Liang; Xing Tao; Dong Ni 001; Hyunsu Jeong; Chulhong Kim; Raphael Stock; Michael Baumgartner 001; Yannick Kirchhoff; Maximilian Rokuss; et al. (CoRR, 2025)

Adjacency-Aware Fuzzy Label Learning for Skin Disease Diagnosis. - Murong Zhou; Baifu Zuo; Guohua Wang; Gongning Luo; Fanding Li; Suyu Dong; Wei Wang 169; Kuanquan Wang; Xiangyu Li 004; Lifeng Xu (IEEE Trans. Fuzzy Syst., 2025)

MedFILIP: Medical Fine-Grained Language-Image Pre-Training. - Xinjie Liang; Xiangyu Li 004; Fanding Li; Jie Jiang; Qing Dong; Wei Wang 169; Kuanquan Wang; Suyu Dong; Gongning Luo; Shuo Li 001 (IEEE J. Biomed. Health Informatics, 2025)

Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow. - Juexiao Zhou; Zhongyi Han; Mankun Xin; Xingwei He 007; Guotao Wang; Jiaoyan Song; Gongning Luo; Wenjia He; Xintong Li; Yuetan Chu; Juanwen Chen; Bo Wang 044; et al. (CoRR, 2025)

A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images. - Yuyang Zhang; Gongning Luo; Wei Wang 169; Shaodong Cao; Suyu Dong; Daren Yu; Xiaoyun Wang; Kuanquan Wang (Medical Biol. Eng. Comput., 2025)

Structure and Smoothness Constrained Dual Networks for MR Bias Field Correction. - Dong Liang; Xingyu Qiu; Yuzhen Li; Wei Wang 169; Kuanquan Wang; Suyu Dong; Gongning Luo (CoRR, 2025)

Elucidating the Design Space of Arbitrary-Noise-Based Diffusion Models. - Xingyu Qiu; Mengying Yang; Xinghua Ma; Dong Liang 001; Yuzhen Li; Fanding Li; Gongning Luo; Wei Wang 169; Kuanquan Wang; Shuo Li 001 (CoRR, 2025)

Anatomic-kinetic fusion network for pituitary gland and microadenoma segmentation in multi-phase DCE-MRI. - Xiangyu Li 004; Yifan Liu; Manxi Xu; Hongwei Yu; Jixin Luan; Aocai Yang; Bing Liu; Amir Shmuel; Yuan Zhen; Gongning Luo; Wei Wang 169; Guolin Ma; et al. (Inf. Fusion, 2026)