| State-of-the-art deep learning in cardiovascular image analysis G Litjens, F Ciompi, JM Wolterink, BD de Vos, T Leiner, J Teuwen, I Išgum JACC: Cardiovascular imaging 12 (8 Part 1), 1549-1565, 2019 | 387 | 2019 |
| Results of the 2020 fastMRI challenge for machine learning MR image reconstruction MJ Muckley, B Riemenschneider, A Radmanesh, S Kim, G Jeong, J Ko, ... IEEE transactions on medical imaging 40 (9), 2306-2317, 2021 | 321* | 2021 |
| Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art I Sechopoulos, J Teuwen, R Mann Seminars in cancer biology 72, 214-225, 2021 | 286 | 2021 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 226 | 2022 |
| Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study A Rodriguez-Ruiz, K Lång, A Gubern-Merida, J Teuwen, M Broeders, ... European radiology 29, 4825-4832, 2019 | 224 | 2019 |
| Convolutional neural networks J Teuwen, N Moriakov Handbook of medical image computing and computer assisted intervention, 481-501, 2020 | 149 | 2020 |
| DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer Y Schirris, E Gavves, I Nederlof, HM Horlings, J Teuwen Medical Image Analysis 79, 102464, 2022 | 141* | 2022 |
| Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI. MU Dalmiş, A Gubern-Mérida, S Vreemann, P Bult, N Karssemeijer, ... Investigative Radiology, 2019 | 117 | 2019 |
| Application of deep learning in breast cancer imaging L Balkenende, J Teuwen, RM Mann Seminars in Nuclear Medicine 52 (5), 584-596, 2022 | 116 | 2022 |
| Automated assessment of COVID-19 reporting and data system and chest CT severity scores in patients suspected of having COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology 298 (1), E18-E28, 2021 | 115 | 2021 |
| Recurrent variational network: a deep learning inverse problem solver applied to the task of accelerated MRI reconstruction G Yiasemis, JJ Sonke, C Sánchez, J Teuwen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 72 | 2022 |
| Automated assessment of CO-RADS and chest CT severity scores in patients with suspected COVID-19 using artificial intelligence N Lessmann, CI Sánchez, L Beenen, LH Boulogne, M Brink, E Calli, ... Radiology, 2020 | 71 | 2020 |
| Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study SL van Winkel, A Rodríguez-Ruiz, L Appelman, A Gubern-Mérida, ... European radiology 31 (11), 8682-8691, 2021 | 67 | 2021 |
| Evaluation of deep learning-based multiparametric MRI oropharyngeal primary tumor auto-segmentation and investigation of input channel effects: Results from a prospective … KA Wahid, S Ahmed, R He, LV van Dijk, J Teuwen, BA McDonald, ... Clinical and translational radiation oncology 32, 6-14, 2022 | 52 | 2022 |
| Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation J Teuwen, N Moriakov, C Fedon, M Caballo, I Reiser, P Bakic, E García, ... Medical image analysis 71, 102061, 2021 | 43* | 2021 |
| Multi-coil mri reconstruction challenge—assessing brain mri reconstruction models and their generalizability to varying coil configurations Y Beauferris, J Teuwen, D Karkalousos, N Moriakov, M Caan, G Yiasemis, ... Frontiers in neuroscience 16, 919186, 2022 | 42* | 2022 |
| Automatic breast lesion detection in ultrafast DCE‐MRI using deep learning F Ayatollahi, SB Shokouhi, RM Mann, J Teuwen Medical Physics 48 (10), 5897-5907, 2021 | 42 | 2021 |
| New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers A Rodriguez-Ruiz, J Teuwen, S Vreemann, RW Bouwman, RE van Engen, ... Acta Radiologica 59 (9), 1051-1059, 2018 | 41 | 2018 |
| Improving breast cancer detection using symmetry information with deep learning Y Brhane Hagos, A Gubern Mérida, J Teuwen International Workshop on Reconstruction and Analysis of Moving Body Organs …, 2018 | 36 | 2018 |
| Prediction of upstaging in ductal carcinoma in situ based on mammographic radiomic features R Hou, LJ Grimm, MA Mazurowski, JR Marks, LM King, CC Maley, ... Radiology 303 (1), 54-62, 2022 | 31 | 2022 |
Ritse MannBreast and Interventional Radiologist, RadboudumcVerified email at radboudumc.nl
