EDBT 2026 Demo / reviewers in the wild / expert
Bomin Wang
dblp:263/1152
· DBLP profile ↗
7ranked-venue papers
2as first author
6since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 7 · 2 first-author · 6 since 2021Graphics, computer vision, multimedia, augmented reality and games · 5 · 2 first-author · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision
Bomin Wang, Hangqi Zhou, Xiahai Zhuang |
Medical Image Anal. | 2 |
| 2025 | Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
Yibo Gao, Hangqi Zhou, Zheyao Gao, Bomin Wang, Shangqi Gao, Xiahai Zhuang |
MICCAI (1) | 4 |
| 2024 | Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis
Yibo Gao, Zheyao Gao, Yuanye Liu, Bomin Wang, Xiahai Zhuang |
MICCAI (10) | 5 |
| 2024 | Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data
Kaiwen Wan, Bomin Wang, Fuping Wu, Haiyu Gong, Xiahai Zhuang |
MICCAI (11) | 2 |
| 2024 | Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
Bomin Wang, Xinzhe Luo, Xiahai Zhuang |
MICCAI (2) | 1 |
| 2021 | AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant DesignabstractThe aim of this paper is to provide a comprehensive overview of the MICCAI 2020 AutoImplant Challenge. The approaches and publications submitted and accepted within the challenge will be summarized and reported, highlighting common algorithmic trends and algorithmic diversity. Furthermore, the evaluation results will be presented, compared and discussed in regard to the challenge aim: seeking for low cost, fast and fully automated solutions for cranial implant design. Based on feedback from collaborating neurosurgeons, this paper concludes by stating open issues and post-challenge requirements for intra-operative use. The codes can be found at https://github.com/Jianningli/tmi. Jianning Li 0002, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Xiaojun Chen 0003, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, David Gage Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu 0004, Matthias Eder, Antonio Pepe 0003, Christina Schwarz-Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern Menze, Ben Glocker, Jan Egger |
IEEE Trans. Medical Imaging | 26 |
| 2020 | Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis
Bomin Wang, Zhi Liu 0004, Xiaoyan Xiao, Yankun Cao, Li-Zhen Cui 0001, Pengfei Zhang 0017 |
MICCAI (2) | 1 |