Tom van Sonsbeek

18 papers A 1Journal 7Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Beyond One Size Fits All: Customization of Radiology Report Generation Methods. Agentic AI/CREATE/Clinical MLLMs@MICCAI Tom van Sonsbeek, Arnaud A. A. Setio, Jung Oh Lee, Junwoo Cho, Junha Kim, Hyeonsoo Lee, Gunhee Nam, Laurent Dillard, Taesoo Kim
2025	—	`conf`	SPEC-CXR: Advancing Clinical Safety Through Entity-Level Performance Evaluation of Chest X-ray Report Generation. MICCAI (7) Jung Oh Lee, Junwoo Cho, Junha Kim, Laurent Dillard, Tom van Sonsbeek, Arnaud A. A. Setio, Hyeonsoo Lee, Donggeun Yoo, Taesoo Kim
2023	J	`jnl`	Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports. CoRR Tom van Sonsbeek, Xiantong Zhen, Marcel Worring
2023	—	`conf`	Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. DALI@MICCAI Tom van Sonsbeek, Xiantong Zhen, Marcel Worring
2023	—	`conf`	Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. MICCAI (5) Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring
2023	J	`jnl`	Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. CoRR Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring
2023	A	`conf`	Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. WACV Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring
2023	—	`conf`	X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation. IPMI Tom van Sonsbeek, Marcel Worring
2023	J	`jnl`	X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation. CoRR Tom van Sonsbeek, Marcel Worring
2022	—	`conf`	LifeLonger: A Benchmark for Continual Disease Classification. MICCAI (2) Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek
2022	J	`jnl`	LifeLonger: A Benchmark for Continual Disease Classification. CoRR Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek
2022	J	`jnl`	Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. CoRR Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring
2021	—	`conf`	Variational Knowledge Distillation for Disease Classification in Chest X-Rays. IPMI Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao
2021	J	`jnl`	Variational Knowledge Distillation for Disease Classification in Chest X-Rays. CoRR Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao
2020	J	`jnl`	Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning. CoRR Tom van Sonsbeek, Veronika Cheplygina
2020	—	`conf`	Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning. iMIMIC/MIL3ID/LABELS@MICCAI Tom van Sonsbeek, Veronika Cheplygina
2020	—	`conf`	Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays. ML-CDS/CLIP@MICCAI Tom van Sonsbeek, Marcel Worring
2019	—	`conf`	End-To-End Vertebra Localization and Level Detection in Weakly Labelled 3D Spinal Mr using Cascaded Neural Networks. ISBI Tom van Sonsbeek, Pardiss Danaei, Delaram Behnami, Mohammad Hossein Jafari, Parisa Asgharzadeh, Robert Rohling, Purang Abolmaesumi