Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

J. Niu, Q. Yu, S. Dong, Z. Wang, K. Dang, and X. Ding. CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Xiaowei Ding

Ding Ding

Xiaowei Wu

Xiaowei Lan

Other publications of authors with the same name

Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation.N. Tajbakhsh, L. Jeyaseelan, Q. Li, J. Chiang, Z. Wu, and X. Ding. CoRR, (2019)Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation.C. Tu, Z. Huang, Z. Deng, Y. Yang, C. Ma, J. He, J. Ye, H. Wang, and X. Ding. LAScarQS@MICCAI, volume 13586 of Lecture Notes in Computer Science, page 24-35. Springer, (2022)Source-Free Domain Adaptation for Medical Image Segmentation via Prototype-Anchored Feature Alignment and Contrastive Learning.Q. Yu, N. Xi, J. Yuan, Z. Zhou, K. Dang, and X. Ding. MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 3-12. Springer, (2023)Learning Anatomically Consistent Embedding for Chest Radiography.Z. Zhou, H. Luo, J. Pang, X. Ding, M. Gotway, and J. Liang. BMVC, page 617-619. BMVA Press, (2023)Learning Differential Diagnosis of Skin Conditions with Co-occurrence Supervision Using Graph Convolutional Networks.J. Wu, H. Jiang, X. Ding, A. Konda, J. Han, Y. Zhang, and Q. Li. MICCAI (2), volume 12262 of Lecture Notes in Computer Science, page 335-344. Springer, (2020)Surrogate Supervision for Medical Image Analysis: Effective Deep Learning From Limited Quantities of Labeled Data.N. Tajbakhsh, Y. Hu, J. Cao, X. Yan, Y. Xiao, Y. Lu, J. Liang, D. Terzopoulos, and X. Ding. ISBI, page 1251-1255. IEEE, (2019)ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features.J. Niu, Q. Yu, S. Dong, Z. Wang, K. Dang, and X. Ding. CoRR, (2023)Bilateral-ViT For Robust Fovea Localization.S. Song, K. Dang, Q. Yu, Z. Wang, F. Coenen, J. Su, and X. Ding. ISBI, page 1-5. IEEE, (2022)Fast and automatic segmentation of pulmonary lobes from chest CT using a progressive dense V-network.A. Imran, A. Hatamizadeh, S. Ananth, X. Ding, N. Tajbakhsh, and D. Terzopoulos. Comput. methods Biomech. Biomed. Eng. Imaging Vis., 8 (5): 509-518 (2020)SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset.X. Kuang, J. Cheung, X. Ding, and T. Zhang. MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 145-154. Springer, (2021)

BibSonomy

Disambiguation of "Ding, Xiaowei"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

Please choose a person to relate this publication to

Xiaowei Ding

Ding Ding

Ding Ding

Xiaowei Wu

Xiaowei Lan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ding, Xiaowei"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ReSynthDetect: A Fundus Anomaly Detection Network with Reconstruction and Synthetic Features.

Please choose a person to relate this publication to

Xiaowei Ding

Ding Ding

Ding Ding

Xiaowei Wu

Xiaowei Lan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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