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Xiaowei Ding
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2020 – today
- 2024
- [j9]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:
Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images. npj Digit. Medicine 7(1) (2024) - [c26]Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Na Shen, Qifeng Wang, Xiaowei Ding, Le Lu, Xianghua Ye, Dakai Jin:
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. ECCV (42) 2024: 180-198 - [c25]Qinji Yu, Yirui Wang, Ke Yan, Le Lu, Na Shen, Xianghua Ye, Xiaowei Ding, Dakai Jin:
Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning. MICCAI (5) 2024: 616-626 - [i17]Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Le Lu, Na Shen, Qifeng Wang, Xiaowei Ding, Xianghua Ye, Dakai Jin:
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. CoRR abs/2404.03819 (2024) - 2023
- [j8]Lei Shi, Shuqing Li, Xiaowei Ding, Zhan Bu:
Selection bias mitigation in recommender system using uninteresting items based on temporal visibility. Expert Syst. Appl. 213(Part): 118932 (2023) - [c24]Jia Xiao, Kang Dang, Xiaowei Ding:
Anatomical Landmark Localization for Knee X-ray Images via Heatmap Regression Refined with Graph Convolutional Network. CISP-BMEI 2023: 1-6 - [c23]Jingqi Niu, Qinji Yu, Shiwen Dong, Zilong Wang, Kang Dang, Xiaowei Ding:
ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features. BMVC 2023: 99-101 - [c22]Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
Learning Anatomically Consistent Embedding for Chest Radiography. BMVC 2023: 617-619 - [c21]Jingqi Niu, Shiwen Dong, Qinji Yu, Kang Dang, Xiaowei Ding:
Region and Spatial Aware Anomaly Detection for Fundus Images. ISBI 2023: 1-5 - [c20]Weinan Song, Gaurav Fotedar, Nima Tajbakhsh, Ziheng Zhou, Lei He, Xiaowei Ding:
MDT-Net: Multi-Domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. ISBI 2023: 1-5 - [c19]Qinji Yu, Nan Xi, Junsong Yuan, Ziyu Zhou, Kang Dang, Xiaowei Ding:
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning. MICCAI (7) 2023: 3-12 - [i16]Sifan Song, Jinfeng Wang, Zilong Wang, Jionglong Su, Xiaowei Ding, Kang Dang:
Bilateral-Fuser: A Novel Multi-cue Fusion Architecture with Anatomical-aware Tokens for Fovea Localization. CoRR abs/2302.06961 (2023) - [i15]Jingqi Niu, Shiwen Dong, Qinji Yu, Kang Dang, Xiaowei Ding:
Region and Spatial Aware Anomaly Detection for Fundus Images. CoRR abs/2303.03817 (2023) - [i14]Qinji Yu, Nan Xi, Junsong Yuan, Ziyu Zhou, Kang Dang, Xiaowei Ding:
Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning. CoRR abs/2307.09769 (2023) - [i13]Ziyu Zhou, Haozhe Luo, Jiaxuan Pang, Xiaowei Ding, Michael B. Gotway, Jianming Liang:
Learning Anatomically Consistent Embedding for Chest Radiography. CoRR abs/2312.00335 (2023) - [i12]Jingqi Niu, Qinji Yu, Shiwen Dong, Zilong Wang, Kang Dang, Xiaowei Ding:
ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features. CoRR abs/2312.16470 (2023) - 2022
- [c18]Sifan Song, Kang Dang, Qinji Yu, Zilong Wang, Frans Coenen, Jionglong Su, Xiaowei Ding:
Bilateral-ViT For Robust Fovea Localization. ISBI 2022: 1-5 - [c17]Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding:
Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. LAScarQS@MICCAI 2022: 24-35 - [c16]Qinji Yu, Kang Dang, Ziyu Zhou, Yongwei Chen, Xiaowei Ding:
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning. MLMI@MICCAI 2022: 239-248 - [c15]Tongyi Luo, Jia Xiao, Chuncao Zhang, Siheng Chen, Yuan Tian, Guangjun Yu, Kang Dang, Xiaowei Ding:
Weakly Supervised Online Action Detection for Infant General Movements. MICCAI (2) 2022: 721-731 - [i11]Weinan Song, Gaurav Fotedar, Nima Tajbakhsh, Ziheng Zhou, Xiaowei Ding:
MDT-Net: Multi-domain Transfer by Perceptual Supervision for Unpaired Images in OCT Scan. CoRR abs/2203.06363 (2022) - [i10]Tongyi Luo, Jia Xiao, Chuncao Zhang, Siheng Chen, Yuan Tian, Guangjun Yu, Kang Dang, Xiaowei Ding:
Weakly Supervised Online Action Detection for Infant General Movements. CoRR abs/2208.03648 (2022) - [i9]Qinji Yu, Kang Dang, Ziyu Zhou, Yongwei Chen, Xiaowei Ding:
Coarse Retinal Lesion Annotations Refinement via Prototypical Learning. CoRR abs/2208.14294 (2022) - 2021
- [j7]Xiaowei Ding:
Research on Generalized Optimal Regression Sampling Estimation Method in Wireless Communication Technology. Int. J. Wirel. Inf. Networks 28(3): 234-242 (2021) - [j6]Shuqing Li, Li Ding, Xiaowei Ding, Huan Hu, Yu Zhang:
Research on discipline development and discipline difference of intelligence science in China. J. Documentation 77(2): 594-616 (2021) - [c14]Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding:
A Location-Sensitive Local Prototype Network For Few-Shot Medical Image Segmentation. ISBI 2021: 262-266 - [c13]Xihe Kuang, Jason Pui Yin Cheung, Xiaowei Ding, Teng Zhang:
SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset. MICCAI (2) 2021: 145-154 - [i8]Qinji Yu, Kang Dang, Nima Tajbakhsh, Demetri Terzopoulos, Xiaowei Ding:
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation. CoRR abs/2103.10178 (2021) - [i7]Sifan Song, Kang Dang, Qinji Yu, Zilong Wang, Frans Coenen, Jionglong Su, Xiaowei Ding:
Bilateral-ViT for Robust Fovea Localization. CoRR abs/2110.09860 (2021) - 2020
- [j5]Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Nima Tajbakhsh, Demetri Terzopoulos:
Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 509-518 (2020) - [j4]Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, Xiaowei Ding:
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation. Medical Image Anal. 63: 101693 (2020) - [c12]Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding:
ErrorNet: Learning Error Representations from Limited Data to Improve Vascular Segmentation. ISBI 2020: 1364-1368 - [c11]Junyan Wu, Hao Jiang, Xiaowei Ding, Anudeep Konda, Jin Han, Yang Zhang, Qian Li:
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision Using Graph Convolutional Networks. MICCAI (2) 2020: 335-344 - [c10]Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding:
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. MICCAI (1) 2020: 699-709 - [i6]Gaurav Fotedar, Nima Tajbakhsh, Shilpa P. Ananth, Xiaowei Ding:
Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts. CoRR abs/2004.11966 (2020) - [i5]Junyan Wu, Hao Jiang, Xiaowei Ding, Anudeep Konda, Jin Han, Yang Zhang, Qian Li:
Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision using Graph Convolutional Networks. CoRR abs/2007.06666 (2020)
2010 – 2019
- 2019
- [c9]Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding:
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. ISBI 2019: 1251-1255 - [i4]Nima Tajbakhsh, Yufei Hu, Junli Cao, Xingjian Yan, Yi Xiao, Yong Lu, Jianming Liang, Demetri Terzopoulos, Xiaowei Ding:
Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data. CoRR abs/1901.08707 (2019) - [i3]Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh:
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. CoRR abs/1902.06362 (2019) - [i2]Nima Tajbakhsh, Laura Jeyaseelan, Qian Li, Jeffrey N. Chiang, Zhihao Wu, Xiaowei Ding:
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation. CoRR abs/1908.10454 (2019) - [i1]Nima Tajbakhsh, Brian Lai, Shilpa P. Ananth, Xiaowei Ding:
ErrorNet: Learning error representations from limited data to improve vascular segmentation. CoRR abs/1910.04814 (2019) - 2018
- [c8]Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh:
Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-Network. DLMIA/ML-CDS@MICCAI 2018: 282-290 - 2016
- [j3]Xiaowei Ding:
The Effect of WeChat-assisted Problem-based Learning on the Critical Thinking Disposition of EFL Learners. Int. J. Emerg. Technol. Learn. 11(12): 23-29 (2016) - [c7]Xingjian Yan, Jianing Pang, Hang Qi, Yixin Zhu, Chunxue Bai, Xin Geng, Mina Liu, Demetri Terzopoulos, Xiaowei Ding:
Classification of Lung Nodule Malignancy Risk on Computed Tomography Images Using Convolutional Neural Network: A Comparison Between 2D and 3D Strategies. ACCV Workshops (3) 2016: 91-101 - [c6]Xiaowei Ding, Xin Geng, Chenfanfu Jiang, Feng Tian, Xingjian Yan, Hang Qi, Lei Zhang, Yongchang Zheng:
Fast Automated Liver Delineation from Computational Tomography Angiography. MIUA 2016: 87-92 - 2015
- [b1]Xiaowei Ding:
Automated Quantitative Analysis of Cardiac Medical Images. University of California, Los Angeles, USA, 2015 - [c5]Xiaowei Ding, Piotr J. Slomka, Mariana Diaz-Zamudio, Guido Germano, Daniel S. Berman, Demetri Terzopoulos, Damini Dey:
Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm. Medical Imaging: Image Processing 2015: 94132U - [c4]Xiaowei Ding, Jianing Pang, Zhou Ren, Mariana Diaz-Zamudio, Daniel S. Berman, Debiao Li, Demetri Terzopoulos, Piotr J. Slomka, Damini Dey:
Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. MIUA 2015: 80-85 - 2014
- [c3]Xiaowei Ding, Demetri Terzopoulos, Mariana Diaz-Zamudio, Daniel S. Berman, Piotr J. Slomka, Damini Dey:
Automated epicardial fat volume quantification from non-contrast CT. Medical Imaging: Image Processing 2014: 90340I - 2012
- [c2]Xiaowei Ding, Yi Xu, Lei Deng, Xiaokang Yang:
Colorization Using Quaternion Algebra with Automatic Scribble Generation. MMM 2012: 103-114 - 2011
- [j2]Kay Giesecke, Lisa R. Goldberg, Xiaowei Ding:
A Top-Down Approach to Multiname Credit. Oper. Res. 59(2): 283-300 (2011)
2000 – 2009
- 2009
- [j1]Xiaowei Ding, Kay Giesecke, Pascal I. Tomecek:
Time-Changed Birth Processes and Multiname Credit Derivatives. Oper. Res. 57(4): 990-1005 (2009) - 2004
- [c1]Xiaowei Ding, Kaushik Roy:
A Novel Bitstream Level Joint Channel Error Concealment Scheme for Realtime Video over Wireless Networks. INFOCOM 2004: 2163-2173
Coauthor Index
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