| 2025 | IJCAI | DFCA: Disentangled Feature Contrastive Learning and Augmentation for Fairer Dermatological Diagnostics. | Pengcheng Zhao, Xiaowei Ding |
| 2025 | MICCAI | 💡💡💡 Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision in Chest Radiographs. | Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang |
| 2025 | WACV | ACE: Anatomically Consistent Embeddings in Composition and Decomposition. | Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang |
| 2024 | ECCV | Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. | Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Na Shen, Qifeng Wang, Xiaowei Ding, Le Lu, Xianghua Ye, Dakai Jin |
| 2024 | MICCAI | Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning. | Qinji Yu, Yirui Wang, Ke Yan, Le Lu, Na Shen, Xianghua Ye, Xiaowei Ding, Dakai Jin |
| 2023 | BMVC | ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features. | Jingqi Niu, Qinji Yu, Shiwen Dong, Zilong Wang, Kang Dang, Xiaowei Ding |
| 2023 | BMVC | Learning Anatomically Consistent Embedding for Chest Radiography. | Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang |
| 2023 | MICCAI | Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning. | Qinji Yu, Nan Xi, Junsong Yuan, Ziyu Zhou, Kang Dang, Xiaowei Ding |
| 2022 | MICCAI | Weakly Supervised Online Action Detection for Infant General Movements. | Tongyi Luo, Jia Xiao, Chuncao Zhang, Siheng Chen, Yuan Tian, Guangjun Yu, Kang Dang, Xiaowei Ding |
| 2022 | MICCAI | Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. | Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding |
| 2022 | MICCAI | Coarse Retinal Lesion Annotations Refinement via Prototypical Learning. | Qinji Yu, Kang Dang, Ziyu Zhou, Yongwei Chen, Xiaowei Ding |
| 2021 | MICCAI | SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset. | Xihe Kuang, Jason Pui Yin Cheung, Xiaowei Ding, Teng Zhang |
| 2020 | MICCAI | Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. | Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding |
| 2020 | MICCAI | Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision Using Graph Convolutional Networks. | Junyan Wu, Hao Jiang, Xiaowei Ding, Anudeep Konda, Jin Han, Yang Zhang, Qian Li |
| 2018 | MICCAI | Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. | Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh |
| 2016 | ACCV | Classification of Lung Nodule Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies. | Xingjian Yan, Jianing Pang, Hang Qi, Yixin Zhu, Chunxue Bai, Xin Geng, Mina Liu, Demetri Terzopoulos, Xiaowei Ding |
| 2012 | MMM | Colorization Using Quaternion Algebra with Automatic Scribble Generation. | Xiaowei Ding, Yi Xu, Lei Deng, Xiaokang Yang |
| 2004 | INFOCOM | A Novel Bitstream Level Joint Channel Error Concealment Scheme for Realtime Video over Wireless Networks. | Xiaowei Ding, Kaushik Roy |