| 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 | 10921 | 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 | 995 | 2017 |
| 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 | 125 | 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 | 122 | 2021 |
| 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 | 93 | 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 | 92 | 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 | 58 | 2017 |
| 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 | 55 | 2016 |
| 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 | 10 | 2017 |
| Understanding metric-related pitfalls in image analysis validation A Reinke, MD Tizabi, M Baumgartner, M Eisenmann, D Heckmann-Nötzel, ... ArXiv, 2023 | 6 | 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 |
| 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 |
| 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 | 4 | 2022 |
| 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 | 4 | 2022 |
| 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 | 4 | 2017 |
| Region enhanced neural Q-learning for solving model-based POMDPs MA Wiering, T Kooi The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010 | 3 | 2010 |
| Deep learning: From natural to medical images. T Kooi | 2 | 2018 |
| 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 | 1 | 2023 |
Nico KarssemeijerProfessor of Computer Aided Diagnosis, Radboud University NijmegenПотвърден имейл адрес: radboudumc.nl
