Xiaowei Ding

According to our database, Xiaowei Ding authored at least 38 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Guofang Jiao, Da Teng, Xiaolei Sun, Bilei Zhang, Yakun Li, Huiqin Lu, Changzheng Chen, Hao Zhang, Ling Yuan, Chang Su, Han Zhang, Song Xia, Anyi Liang, Mengda Li, Dan Zhu, Meirong Xue, Dawei Sun, Qiuming Li, Ziwu Zhang, Donglei Zhang, Hongbin Lv, Rishet Ahmat, Zilong Wang, Charumathi Sabanayagam, Xiaowei Ding, Tien Yin Wong, Youxin Chen

npj Digit. Medicine, 2024

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Bilateral-Fuser: A Novel Multi-cue Fusion Architecture with Anatomical-aware Tokens for Fovea Localization.

Sifan Song, Jinfeng Wang, Zilong Wang, Jionglong Su, Xiaowei Ding, Kang Dang

CoRR, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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, Xiaowei Ding

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Region and Spatial Aware Anomaly Detection for Fundus Images.

Jingqi Niu, Shiwen Dong, Qinji Yu, Kang Dang, Xiaowei Ding

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Learning Anatomically Consistent Embedding for Chest Radiography.

Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang

Proceedings of the 34th British Machine Vision Conference 2023, 2023

ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features.

Jingqi Niu, Qinji Yu, Shiwen Dong, Zilong Wang, Kang Dang, Xiaowei Ding

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Anatomical Landmark Localization for Knee X-ray Images via Heatmap Regression Refined with Graph Convolutional Network.

Jia Xiao, Kang Dang, Xiaowei Ding

Proceedings of the 16th International Congress on Image and Signal Processing, 2023

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

Coarse Retinal Lesion Annotations Refinement via Prototypical Learning.

Qinji Yu, Kang Dang, Ziyu Zhou, Yongwei Chen, Xiaowei Ding

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 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, Haoyu Wang, Xiaowei Ding

Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Bilateral-ViT For Robust Fovea Localization.

Sifan Song, Kang Dang, Qinji Yu, Zilong Wang, Frans Coenen, Jionglong Su, Xiaowei Ding

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

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

Research on Generalized Optimal Regression Sampling Estimation Method in Wireless Communication Technology.

Xiaowei Ding

Int. J. Wirel. Inf. Networks, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation.

Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts.

Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation.

Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

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

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

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

Fast Automated Liver Delineation from Computational Tomography Angiography.

Xiaowei Ding, Xin Geng, Chenfanfu Jiang, Feng Tian, Xingjian Yan, Hang Qi, Lei Zhang, Yongchang Zheng

Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

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

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

Automated Quantitative Analysis of Cardiac Medical Images.

Xiaowei Ding

PhD thesis, 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

Proceedings of the Medical Image Understanding and Analysis, 2015

Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm.

Xiaowei Ding, Piotr J. Slomka, Mariana Diaz-Zamudio, Guido Germano, Daniel S. Berman, Demetri Terzopoulos, Damini Dey

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

Automated epicardial fat volume quantification from non-contrast CT.

Xiaowei Ding, Demetri Terzopoulos, Mariana Diaz-Zamudio, Daniel S. Berman, Piotr J. Slomka, Damini Dey

Proceedings of the Medical Imaging 2014: Image Processing, 2014

2012

Colorization Using Quaternion Algebra with Automatic Scribble Generation.

Xiaowei Ding, Yi Xu, Lei Deng, Xiaokang Yang

Proceedings of the Advances in Multimedia Modeling - 18th International Conference, 2012

2011

A Top-Down Approach to Multiname Credit.

Kay Giesecke, Lisa R. Goldberg, Xiaowei Ding

Oper. Res., 2011

2009

Time-Changed Birth Processes and Multiname Credit Derivatives.

Xiaowei Ding, Kay Giesecke, Pascal I. Tomecek

Oper. Res., 2009

2004

A Novel Bitstream Level Joint Channel Error Concealment Scheme for Realtime Video over Wireless Networks.

Xiaowei Ding, Kaushik Roy

Proceedings of the Proceedings IEEE INFOCOM 2004, 2004