Thijs Kooi - RankMe

35 papers B 1Journal 16Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning - First International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and September 27, 2025, Proceedings BRIDGE/DeCaF@MICCAI Ghada Zamzmi, Annika Reinke, Ravi Samala, Meirui Jiang, Xiaoxiao Li, Holger Roth, Mariia Sidulova, Thijs Kooi, Shadi Albarqouni, Spyridon Bakas, Nicola Rieke
2025	J	`jnl`	Breast Cancer VLMs: Clinically Practical Vision-Language Train-Inference Models. CoRR Shunjie-Fabian Zheng, Hyeonjun Lee, Thijs Kooi, Ali Diba
2025	—	`conf`	In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. FAccT Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025	J	`jnl`	In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. CoRR Amelia Jiménez-Sánchez, Natalia Rozalia Avlona, Sarah de Boer, Víctor M. Campello, Aasa Feragen, Enzo Ferrante, Melanie Ganz, Judy Wawira Gichoya, Camila González, Steff Groefsema, Alessa Hering, Adam Hulman, Leo Joskowicz, Dovile Juodelyte, Melih Kandemir, Thijs Kooi, Jorge del Pozo Lérida, Livie Yumeng Li, André G. C. Pacheco, Tim Rädsch, Mauricio Reyes, Théo Sourget, Bram van Ginneken, David Wen, Nina Weng, Jack Junchi Xu, Hubert Dariusz Zajac, Maria A. Zuluaga, Veronika Cheplygina
2025	—	`conf`	MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction. ICCVW Shunjie-Fabian Zheng, Hyeonjun Lee, Thijs Kooi, Ali Diba
2025	J	`jnl`	MV-MLM: Bridging Multi-View Mammography and Language for Breast Cancer Diagnosis and Risk Prediction. CoRR Shunjie-Fabian Zheng, Hyeonjun Lee, Thijs Kooi, Ali Diba
2024	—	`conf`	From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences. AMAI@MICCAI Minjeong Kim, Hesham Dar, Sanguk Park, Thijs Kooi
2024	—	`conf`	Is User Feedback Always Informative? Retrieval Latent Defending for Semi-supervised Domain Adaptation Without Source Data. ECCV (25) Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo
2024	J	`jnl`	Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data. CoRR Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo
2024	—	`conf`	Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains. FAIMI/EPIMI@MICCAI Samia Belhadj, Sanguk Park, Ambika Seth, Hesham Dar, Thijs Kooi
2024	J	`jnl`	Positive-Sum Fairness: Leveraging Demographic Attributes to Achieve Fair AI Outcomes Without Sacrificing Group Gains. CoRR Samia Belhadj, Sanguk Park, Ambika Seth, Hesham Dar, Thijs Kooi
2024	—	`conf`	SelectiveKD: A Semi-supervised Framework for Cancer Detection in DBT Through Knowledge Distillation and Pseudo-labeling. CaPTion@MICCAI Laurent Dillard, Hyeonsoo Lee, Weonsuk Lee, Tae Soo Kim, Ali Diba, Thijs Kooi
2024	J	`jnl`	SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labeling. CoRR Laurent Dillard, Hyeonsoo Lee, Weonsuk Lee, Tae Soo Kim, Ali Diba, Thijs Kooi
2023	J	`jnl`	ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity. CoRR Sumin Seo, Jaewoong Shin, Jaewoo Kang, Tae Soo Kim, Thijs Kooi
2023	—	`conf`	Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images. MICCAI (5) Hyeonsoo Lee, Junha Kim, Eunkyung Park, Minjeong Kim, Taesoo Kim, Thijs Kooi
2023	J	`jnl`	Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images. CoRR Hyeonsoo Lee, Junha Kim, Eunkyung Park, Minjeong Kim, Taesoo Kim, Thijs Kooi
2023	J	`jnl`	Understanding metric-related pitfalls in image analysis validation. CoRR Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein
2022	—	`conf`	Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs. MICCAI (3) Tae Soo Kim, Geonwoon Jang, Sanghyup Lee, Thijs Kooi
2022	J	`jnl`	Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs. CoRR Tae Soo Kim, Geonwoon Jang, Sanghyup Lee, Thijs Kooi
2022	—	`conf`	Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography. MICCAI (3) Kihyun You, Suho Lee, Kyuhee Jo, Eunkyung Park, Thijs Kooi, Hyeonseob Nam
2022	—	`conf`	OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs. AMAI@MICCAI Gunhee Nam, Taesoo Kim, Sanghyup Lee, Thijs Kooi
2022	J	`jnl`	OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs. CoRR Gunhee Nam, Taesoo Kim, Sanghyup Lee, Thijs Kooi
2022	J	`jnl`	Tutorial on the development of AI models for medical image analysis. CoRR Thijs Kooi
2017	J	`jnl`	A Survey on Deep Learning in Medical Image Analysis. CoRR Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez
2017	J	`jnl`	A survey on deep learning in medical image analysis. Medical Image Anal. Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez
2017	J	`jnl`	Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks. CoRR Thijs Kooi, Nico Karssemeijer
2017	—	`conf`	Conditional random field modelling of interactions between findings in mammography. Computer-Aided Diagnosis Thijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer
2017	—	`conf`	Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses. Computer-Aided Diagnosis Thijs Kooi, Nico Karssemeijer
2017	J	`jnl`	Large scale deep learning for computer aided detection of mammographic lesions. Medical Image Anal. Thijs Kooi, Geert Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I. Sánchez, Ritse Mann, Ard den Heeten, Nico Karssemeijer
2016	—	`conf`	A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography. Digital Mammography / IWDM Thijs Kooi, Albert Gubern-Mérida, Jan-Jurre Mordang, Ritse Mann, Ruud Pijnappel, Klaas Schuur, Ard den Heeten, Nico Karssemeijer
2016	—	`conf`	Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks. Digital Mammography / IWDM Jan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer
2014	—	`conf`	Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images. Computer-Aided Diagnosis Thijs Kooi, Nico Karssemeijer
2014	—	`conf`	Invariant Features for Discriminating Cysts from Solid Lesions in Mammography. Digital Mammography / IWDM Thijs Kooi, Nico Karssemeijer
2012	—	`conf`	Colour Descriptors for Tracking in Spatial Augmented Reality. ACCV Workshops (2) Thijs Kooi, François de Sorbier, Hideo Saito
2010	B	`conf`	Region enhanced neural Q-learning for solving model-based POMDPs. IJCNN Marco A. Wiering, Thijs Kooi