A Novel Bitstream Level Joint Channel Error Concealment Scheme for Realtime Video over Wireless Networks. - Xiaowei Ding; Kaushik Roy 001 (INFOCOM, 2004)

Time-Changed Birth Processes and Multiname Credit Derivatives. - Xiaowei Ding; Kay Giesecke; Pascal I. Tomecek (Oper. Res., 2009)

A Top-Down Approach to Multiname Credit. - Kay Giesecke; Lisa R. Goldberg; Xiaowei Ding (Oper. Res., 2011)

Colorization Using Quaternion Algebra with Automatic Scribble Generation. - Xiaowei Ding; Yi Xu 001; Lei Deng 001; Xiaokang Yang 001 (MMM, 2012)

Automated epicardial fat volume quantification from non-contrast CT. - Xiaowei Ding; Demetri Terzopoulos; Mariana Diaz-Zamudio; Daniel S. Berman; Piotr J. Slomka; Damini Dey (Image Processing, 2014)

Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm. - Xiaowei Ding; Piotr J. Slomka; Mariana Diaz-Zamudio; Guido Germano 002; Daniel S. Berman; Demetri Terzopoulos; Damini Dey (Image Processing, 2015)

Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. - Xiaowei Ding; Jianing Pang; Zhou Ren; Mariana Diaz-Zamudio; Daniel S. Berman; Debiao Li; Demetri Terzopoulos; Piotr J. Slomka; Damini Dey (MIUA, 2015)

Automated Quantitative Analysis of Cardiac Medical Images. - Xiaowei Ding (2015)

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 001; Chunxue Bai; Xin Geng; Mina Liu; Demetri Terzopoulos; Xiaowei Ding (ACCV Workshops (3), 2016)

Fast Automated Liver Delineation from Computational Tomography Angiography. - Xiaowei Ding; Xin Geng; Chenfanfu Jiang; Feng Tian; Xingjian Yan; Hang Qi; Lei Zhang; Yongchang Zheng (MIUA, 2016)

The Effect of WeChat-assisted Problem-based Learning on the Critical Thinking Disposition of EFL Learners. - Xiaowei Ding (Int. J. Emerg. Technol. Learn., 2016)

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 (DLMIA/ML-CDS@MICCAI, 2018)

Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. - Nima Tajbakhsh; Yufei Hu; Junli Cao; Xingjian Yan; Yi Xiao; Yong Lu; Jianming Liang; Demetri Terzopoulos; Xiaowei Ding (ISBI, 2019)

ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation. - Nima Tajbakhsh; Brian Lai; Shilpa P. Ananth; Xiaowei Ding (ISBI, 2020)

Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. - Gaurav Fotedar; Nima Tajbakhsh; Shilpa P. Ananth; Xiaowei Ding (MICCAI (1), 2020)

Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision Using Graph Convolutional Networks. - Junyan Wu; Hao Jiang 010; Xiaowei Ding; Anudeep Konda; Jin Han; Yang Zhang 039; Qian Li (MICCAI (2), 2020)

Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network. - Abdullah-Al-Zubaer Imran; Ali Hatamizadeh; Shilpa P. Ananth; Xiaowei Ding; Nima Tajbakhsh; Demetri Terzopoulos (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation. - Nima Tajbakhsh; Laura Jeyaseelan; Qian Li; Jeffrey N. Chiang; Zhihao Wu; Xiaowei Ding (Medical Image Anal., 2020)

A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation. - Qinji Yu; Kang Dang; Nima Tajbakhsh; Demetri Terzopoulos; Xiaowei Ding (ISBI, 2021)

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 (MICCAI (2), 2021)

Research on Generalized Optimal Regression Sampling Estimation Method in Wireless Communication Technology. - Xiaowei Ding (Int. J. Wirel. Inf. Networks, 2021)

Research on discipline development and discipline difference of intelligence science in China. - Shuqing Li; Li Ding; Xiaowei Ding; Huan Hu; Yu Zhang (J. Documentation, 2021)

Bilateral-ViT For Robust Fovea Localization. - Sifan Song; Kang Dang; Qinji Yu; Zilong Wang 006; Frans Coenen; Jionglong Su; Xiaowei Ding (ISBI, 2022)

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 (MICCAI (2), 2022)

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 002; Haoyu Wang 010; Xiaowei Ding (LAScarQS@MICCAI, 2022)

Coarse Retinal Lesion Annotations Refinement via Prototypical Learning. - Qinji Yu; Kang Dang; Ziyu Zhou; Yongwei Chen; Xiaowei Ding (MLMI@MICCAI, 2022)

MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. - Weinan Song; Gaurav Fotedar; Nima Tajbakhsh; Ziheng Zhou; Xiaowei Ding (CoRR, 2022)

Anatomical Landmark Localization for Knee X-ray Images via Heatmap Regression Refined with Graph Convolutional Network. - Jia Xiao; Kang Dang; Xiaowei Ding (CISP-BMEI, 2023)

ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features. - Jingqi Niu; Qinji Yu; Shiwen Dong; Zilong Wang 006; Kang Dang; Xiaowei Ding (BMVC, 2023)

Learning Anatomically Consistent Embedding for Chest Radiography. - Ziyu Zhou; Haozhe Luo; Jiaxuan Pang; Xiaowei Ding; Michael B. Gotway; Jianming Liang (BMVC, 2023)

Region and Spatial Aware Anomaly Detection for Fundus Images. - Jingqi Niu; Shiwen Dong; Qinji Yu; Kang Dang; Xiaowei Ding (ISBI, 2023)

MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. - Weinan Song; Gaurav Fotedar; Nima Tajbakhsh; Ziheng Zhou; Lei He 001; Xiaowei Ding (ISBI, 2023)

Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning. - Qinji Yu; Nan Xi; Junsong Yuan 001; Ziyu Zhou; Kang Dang; Xiaowei Ding (MICCAI (7), 2023)

Bilateral-Fuser: A Novel Multi-cue Fusion Architecture with Anatomical-aware Tokens for Fovea Localization. - Sifan Song; Jinfeng Wang 008; Zilong Wang 006; Jionglong Su; Xiaowei Ding; Kang Dang (CoRR, 2023)

Selection bias mitigation in recommender system using uninteresting items based on temporal visibility. - Lei Shi; Shuqing Li; Xiaowei Ding; Zhan Bu (Expert Syst. Appl., 2023)

Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. - Qinji Yu; Yirui Wang 002; Ke Yan 006; Haoshen Li; Dazhou Guo; Li Zhang 047; Na Shen; Qifeng Wang; Xiaowei Ding; Le Lu 001; Xianghua Ye; Dakai Jin (ECCV (42), 2024)

Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning. - Qinji Yu; Yirui Wang 002; Ke Yan 006; Le Lu 001; Na Shen; Xianghua Ye; Xiaowei Ding; Dakai Jin (MICCAI (5), 2024)

Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images. - Xinyu Zhao; Xingwang Gu; Lihui Meng; Yongwei Chen; Qing Zhao; Shiyu Cheng; Wenfei Zhang; Tiantian Cheng; Chuting Wang; Zhengming Shi; Shengyin Jiao; Changlong Jiang; et al. (npj Digit. Medicine, 2024)

DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization. - Sifan Song; Jinfeng Wang 008; Zilong Wang 006; Hongxing Wang 001; Jionglong Su; Xiaowei Ding; Kang Dang (IEEE J. Biomed. Health Informatics, 2024)

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 (WACV, 2025)

AI-assisted facial analysis in healthcare: From disease detection to comprehensive management. - Chaoyu Lei; Kang Dang; Sifan Song; Zilong Wang 006; Sien Ping Chew; Ruitong Bian; Xichen Yang; Zhouyu Guan; Claudia Isabel Marques de Abreu Lopes; Mini Hang Wang; Richard Wai Chak Choy; Xiaoyan Hu; et al. (Patterns, 2025)

From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans. - Qinji Yu; Yirui Wang 002; Ke Yan 006; Dandan Zheng; Dashan Ai; Dazhou Guo; Zhanghexuan Ji; Yanzhou Su; Yun Bian; Na Shen; Xiaowei Ding; Le Lu 001; et al. (CoRR, 2025)