| 2025 | ICCV | Ouroboros: Single-Step Diffusion Models for Cycle-Consistent Forward and Inverse Rendering. | Shanlin Sun, Yifan Wang, Hanwen Zhang, Yifeng Xiong, Qin Ren, Ruogu Fang, Xiaohui Xie, Chenyu You |
| 2025 | MICCAI | OTSurv: A Novel Multiple Instance Learning Framework for Survival Prediction with Heterogeneity-Aware Optimal Transport. | Qin Ren, Yifan Wang, Ruogu Fang, Haibin Ling, Chenyu You |
| 2024 | MICCAI | Towards tDCS Digital Twins Using Deep Learning-Based Direct Estimation of Personalized Electrical Field Maps from T1-Weighted MRI. | Skylar E. Stolte, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Ruogu Fang |
| 2023 | ICDCS | Distributed Pruning Towards Tiny Neural Networks in Federated Learning. | Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu |
| 2023 | MICCAI | DOMINO++: Domain-Aware Loss Regularization for Deep Learning Generalizability. | Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang |
| 2022 | MICCAI | DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation. | Skylar E. Stolte, Kyle Volle, Aprinda Indahlastari, Alejandro Albizu, Adam J. Woods, Kevin M. Brink, Matthew T. Hale, Ruogu Fang |
| 2019 | MICCAI | CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation. | Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang |
| 2019 | MICCAI | Abdominal Adipose Tissue Segmentation in MRI with Double Loss Function Collaborative Learning. | Siyuan Pan, Xuhong Hou, Huating Li, Bin Sheng, Ruogu Fang, Yuxin Xue, Weiping Jia, Jing Qin |
| 2018 | MICCAI | Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising. | Peng Liu, Yangjunyi Li, Mohammad D. El Basha, Ruogu Fang |
| 2018 | MICCAI | Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection. | Yaxin Shen, Ruogu Fang, Bin Sheng, Ling Dai, Huating Li, Jing Qin, Qiang Wu, Weiping Jia |
| 2017 | CHASE | RFMiner: Risk Factors Discovery and Mining for Preventive Cardiovascular Health. | Yao Xiao, Ruogu Fang |
| 2017 | MICCAI | Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN. | Ling Dai, Bin Sheng, Qiang Wu, Huating Li, Xuhong Hou, Weiping Jia, Ruogu Fang |
| 2017 | MICCAI | STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion. | Yao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang |
| 2015 | MICCAI | Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution. | Ruogu Fang, Ming Ni, Junzhou Huang, Qianmu Li, Tao Li |
| 2015 | MICCAI | Fast Preconditioning for Accelerated Multi-contrast MRI Reconstruction. | Ruoyu Li, Yeqing Li, Ruogu Fang, Shaoting Zhang, Hao Pan, Junzhou Huang |
| 2014 | MICCAI | Tensor Total-Variation Regularized Deconvolution for Efficient Low-Dose CT Perfusion. | Ruogu Fang, Pina C. Sanelli, Shaoting Zhang, Tsuhan Chen |
| 2013 | ICIP | Kinship classification by modeling facial feature heredity. | Ruogu Fang, Andrew C. Gallagher, Tsuhan Chen, Alexander C. Loui |
| 2013 | MICCAI | Tissue-Specific Sparse Deconvolution for Low-Dose CT Perfusion. | Ruogu Fang, Tsuhan Chen, Pina C. Sanelli |
| 2012 | MICCAI | Sparsity-Based Deconvolution of Low-Dose Perfusion CT Using Learned Dictionaries. | Ruogu Fang, Tsuhan Chen, Pina C. Sanelli |
| 2011 | MICCAI | Segmentation of Liver Tumor Using Efficient Global Optimal Tree Metrics Graph Cuts. | Ruogu Fang, Ramin Zabih, Ashish Raj, Tsuhan Chen |
| 2010 | ICIP | Towards computational models of kinship verification. | Ruogu Fang, Kevin D. Tang, Noah Snavely, Tsuhan Chen |