Thijs Kooi

According to our database, Thijs Kooi authored at least 18 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity.

Sumin Seo, Jaewoong Shin, Jaewoo Kang, Tae Soo Kim, Thijs Kooi

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

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

CoRR, 2023

Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images.

Hyeonsoo Lee, Junha Kim, Eunkyung Park, Minjeong Kim, Taesoo Kim, Thijs Kooi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Tutorial on the development of AI models for medical image analysis.

Thijs Kooi

CoRR, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

OOOE: Only-One-Object-Exists Assumption to Find Very Small Objects in Chest Radiographs.

Gunhee Nam, Taesoo Kim, Sanghyup Lee, Thijs Kooi

Proceedings of the Applications of Medical Artificial Intelligence, 2022

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2017

A survey on deep learning in medical image analysis.

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

Medical Image Anal., 2017

Large scale deep learning for computer aided detection of mammographic lesions.

Thijs Kooi, Geert Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I. Sánchez, Ritse Mann, Ard den Heeten, Nico Karssemeijer

Medical Image Anal., 2017

Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks.

Thijs Kooi, Nico Karssemeijer

CoRR, 2017

Conditional random field modelling of interactions between findings in mammography.

Thijs Kooi, Jan-Jurre Mordang, Nico Karssemeijer

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses.

Thijs Kooi, Nico Karssemeijer

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016

Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks.

Jan-Jurre Mordang, Tim Janssen, Alessandro Bria, Thijs Kooi, Albert Gubern-Mérida, Nico Karssemeijer

Proceedings of the Breast Imaging, 2016

A Comparison Between a Deep Convolutional Neural Network and Radiologists for Classifying Regions of Interest in Mammography.

Thijs Kooi, Albert Gubern-Mérida, Jan-Jurre Mordang, Ritse Mann, Ruud Pijnappel, Klaas Schuur, Ard den Heeten, Nico Karssemeijer

Proceedings of the Breast Imaging, 2016

2014

Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images.

Thijs Kooi, Nico Karssemeijer

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014

Invariant Features for Discriminating Cysts from Solid Lesions in Mammography.

Thijs Kooi, Nico Karssemeijer

Proceedings of the Breast Imaging - 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29, 2014

2012

Colour Descriptors for Tracking in Spatial Augmented Reality.

Thijs Kooi, François de Sorbier, Hideo Saito

Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2010

Region enhanced neural Q-learning for solving model-based POMDPs.

Marco A. Wiering, Thijs Kooi

Proceedings of the International Joint Conference on Neural Networks, 2010