| 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 | 13023 | 2017 |
| 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 | 1104 | 2017 |
| 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 | 176 | 2021 |
| 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 | 131 | 2017 |
| 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 | 103 | 2018 |
| 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 | 94 | 2016 |
| 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 | 67 | 2017 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... Nature methods 21 (2), 182-194, 2024 | 65 | 2024 |
| 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 | 58 | 2016 |
| The price of artificial intelligence E Coiera Yearbook of medical informatics 28 (01), 014-015, 2019 | 39 | 2019 |
| 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 | 14 | 2023 |
| 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 | 12 | 2017 |
| 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 | 11 | 2022 |
| 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 | 9 | 2022 |
| 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 | 7 | 2023 |
| Classifying symmetrical differences and temporal change in mammography using deep neural networks T Kooi, N Karssemeijer arXiv preprint arXiv:1703.07715, 2017 | 6 | 2017 |
| Invariant features for discriminating cysts from solid lesions in mammography T Kooi, N Karssemeijer International Workshop on Digital Mammography, 573-580, 2014 | 6 | 2014 |
| 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 | 6 | 2014 |
| 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 | 5 | 2017 |
| 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 | 5 | 2013 |
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenVerified email at radboudumc.nl
