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ORCIDTom van Sonsbeek
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2020 – today
- 2023
[c9]Tom van Sonsbeek, Marcel Worring
:
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation. IPMI 2023: 471-482- [c8]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring:
Knowledge Graph Embeddings for Multi-lingual Structured Representations of Radiology Reports. DALI@MICCAI 2023: 84-94 - [c7]Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring:
Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. MICCAI (5) 2023: 726-736 - [c6]Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring:
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. WACV 2023: 3619-3629 - [i7]Tom van Sonsbeek, Marcel Worring:
X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation. CoRR abs/2302.11352 (2023) - [i6]Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring:
Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. CoRR abs/2303.05977 (2023) - [i5]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring:
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports. CoRR abs/2309.00917 (2023) - 2022
- [c5]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. MICCAI (2) 2022: 314-324 - [i4]Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring, Cees G. M. Snoek:
LifeLonger: A Benchmark for Continual Disease Classification. CoRR abs/2204.05737 (2022) - [i3]Tom van Sonsbeek, Xiantong Zhen, Dwarikanath Mahapatra, Marcel Worring:
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification. CoRR abs/2210.06980 (2022) - 2021
- [c4]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. IPMI 2021: 334-345 - [i2]Tom van Sonsbeek, Xiantong Zhen, Marcel Worring, Ling Shao:
Variational Knowledge Distillation for Disease Classification in Chest X-Rays. CoRR abs/2103.10825 (2021) - 2020
- [c3]Tom van Sonsbeek, Marcel Worring:
Towards Automated Diagnosis with Attentive Multi-modal Learning Using Electronic Health Records and Chest X-Rays. ML-CDS/CLIP@MICCAI 2020: 106-114 - [c2]Tom van Sonsbeek, Veronika Cheplygina:
Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 242-253 - [i1]Tom van Sonsbeek, Veronika Cheplygina:
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning. CoRR abs/2005.08869 (2020)
2010 – 2019
- 2019
- [c1]Tom van Sonsbeek, Pardiss Danaei, Delaram Behnami, Mohammad Hossein Jafari, Parisa Asgharzadeh, Robert Rohling, Purang Abolmaesumi:
End-To-End Vertebra Localization and Level Detection in Weakly Labelled 3D Spinal Mr using Cascaded Neural Networks. ISBI 2019: 1178-1182
Coauthor Index
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