| 2025 | ICCV | MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction. | Shunjie-Fabian Zheng, Hyeonjun Lee, Thijs Kooi, Ali Diba |
| 2024 | ECCV | Is User Feedback Always Informative? Retrieval Latent Defending for Semi-supervised Domain Adaptation Without Source Data. | Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo |
| 2024 | MICCAI | Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains. | Samia Belhadj, Sanguk Park, Ambika Seth, Hesham Dar, Thijs Kooi |
| 2024 | MICCAI | SelectiveKD: A Semi-supervised Framework for Cancer Detection in DBT Through Knowledge Distillation and Pseudo-labeling. | Laurent Dillard, Hyeonsoo Lee, Weonsuk Lee, Tae Soo Kim, Ali Diba, Thijs Kooi |
| 2024 | MICCAI | From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences. | Minjeong Kim, Hesham Dar, Sanguk Park, Thijs Kooi |
| 2023 | MICCAI | Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images. | Hyeonsoo Lee, Junha Kim, Eunkyung Park, Minjeong Kim, Taesoo Kim, Thijs Kooi |
| 2022 | MICCAI | Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs. | Tae Soo Kim, Geonwoon Jang, Sanghyup Lee, Thijs Kooi |
| 2022 | MICCAI | OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs. | Gunhee Nam, Taesoo Kim, Sanghyup Lee, Thijs Kooi |
| 2022 | MICCAI | Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography. | Kihyun You, Suho Lee, Kyuhee Jo, Eunkyung Park, Thijs Kooi, Hyeonseob Nam |
| 2012 | ACCV | Colour Descriptors for Tracking in Spatial Augmented Reality. | Thijs Kooi, Franois de Sorbier, Hideo Saito |
| 2010 | IJCNN | Region enhanced neural Q-learning for solving model-based POMDPs. | Marco A. Wiering, Thijs Kooi |