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Thijs Kooi
Thijs Kooi
Lunit Inc.
Verified email at lunit.io - Homepage
Title
Cited by
Cited by
Year
A survey on deep learning in medical image analysis
G Litjens, T Kooi, BE Bejnordi, AAA Setio, F Ciompi, M Ghafoorian, ...
Medical image analysis 42, 60-88, 2017
122022017
Large scale deep learning for computer aided detection of mammographic lesions
T Kooi, G Litjens, B Van Ginneken, A Gubern-Mérida, CI Sánchez, ...
Medical image analysis 35, 303-312, 2017
10622017
Common limitations of image processing metrics: A picture story
A Reinke, MD Tizabi, CH Sudre, M Eisenmann, T Rädsch, M Baumgartner, ...
arXiv preprint arXiv:2104.05642, 2021
1542021
Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network
T Kooi, B van Ginneken, N Karssemeijer, A den Heeten
Medical physics 44 (3), 1017-1027, 2017
1282017
Fully automated detection of breast cancer in screening MRI using convolutional neural networks
MU Dalmış, S Vreemann, T Kooi, RM Mann, N Karssemeijer, ...
Journal of Medical Imaging 5 (1), 014502-014502, 2018
1012018
Automatic microcalcification detection in multi-vendor mammography using convolutional neural networks
JJ Mordang, T Janssen, A Bria, T Kooi, A Gubern-Mérida, N Karssemeijer
Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June …, 2016
922016
Classifying symmetrical differences and temporal change for the detection of malignant masses in mammography using deep neural networks
T Kooi, N Karssemeijer
Journal of Medical Imaging 4 (4), 044501-044501, 2017
662017
A comparison between a deep convolutional neural network and radiologists for classifying regions of interest in mammography
T Kooi, A Gubern-Merida, JJ Mordang, R Mann, R Pijnappel, K Schuur, ...
Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June …, 2016
582016
The price of artificial intelligence
E Coiera
Yearbook of medical informatics 28 (01), 014-015, 2019
362019
Understanding metric-related pitfalls in image analysis validation
A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ...
Nature methods, 1-13, 2024
342024
Deep learning of symmetrical discrepancies for computer-aided detection of mammographic masses
T Kooi, N Karssemeijer
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 388-393, 2017
112017
Intra-class contrastive learning improves computer aided diagnosis of breast cancer in mammography
K You, S Lee, K Jo, E Park, T Kooi, H Nam
International Conference on Medical Image Computing and Computer-Assisted …, 2022
82022
Transformer-based deep neural network for breast cancer classification on digital breast tomosynthesis images
W Lee, H Lee, H Lee, EK Park, H Nam, T Kooi
Radiology: Artificial Intelligence 5 (3), e220159, 2023
72023
Did you get what you paid for? rethinking annotation cost of deep learning based computer aided detection in chest radiographs
TS Kim, G Jang, S Lee, T Kooi
International Conference on Medical Image Computing and Computer-Assisted …, 2022
72022
Classifying symmetrical differences and temporal change in mammography using deep neural networks
T Kooi, N Karssemeijer
arXiv preprint arXiv:1703.07715, 2017
62017
Invariant features for discriminating cysts from solid lesions in mammography
T Kooi, N Karssemeijer
International Workshop on Digital Mammography, 573-580, 2014
62014
Boosting classification performance in computer aided diagnosis of breast masses in raw full-field digital mammography using processed and screen film images
T Kooi, N Karssemeijer
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 346-353, 2014
62014
Enhancing breast cancer risk prediction by incorporating prior images
H Lee, J Kim, E Park, M Kim, T Kim, T Kooi
International Conference on Medical Image Computing and Computer-Assisted …, 2023
52023
Colour descriptors for tracking in spatial augmented reality
T Kooi, F De Sorbier, H Saito
Computer Vision-ACCV 2012 Workshops: ACCV 2012 International Workshops …, 2013
52013
Conditional random field modelling of interactions between findings in mammography
T Kooi, JJ Mordang, N Karssemeijer
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 355-362, 2017
42017
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