| Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm T Weikert, DJ Winkel, J Bremerich, B Stieltjes, V Parmar, AW Sauter, ... European radiology 30, 6545-6553, 2020 | 93 | 2020 |
| A novel deep learning based computer-aided diagnosis system improves the accuracy and efficiency of radiologists in reading biparametric magnetic resonance images of the … DJ Winkel, A Tong, B Lou, A Kamen, D Comaniciu, JA Disselhorst, ... Investigative radiology 56 (10), 605-613, 2021 | 76 | 2021 |
| Evaluation of an AI-based detection software for acute findings in abdominal computed tomography scans: toward an automated work list prioritization of routine CT examinations DJ Winkel, T Heye, TJ Weikert, DT Boll, B Stieltjes Investigative radiology 54 (1), 55-59, 2019 | 76 | 2019 |
| Comparison of image quality and radiation dose between split-filter dual-energy images and single-energy images in single-source abdominal CT A Euler, MM Obmann, Z Szucs-Farkas, A Mileto, C Zaehringer, ... European radiology 28, 3405-3412, 2018 | 60 | 2018 |
| Autonomous detection and classification of PI-RADS lesions in an MRI screening population incorporating multicenter-labeled deep learning and biparametric imaging: proof of concept DJ Winkel, C Wetterauer, MO Matthias, B Lou, B Shi, A Kamen, ... Diagnostics 10 (11), 951, 2020 | 48 | 2020 |
| False positive reduction using multiscale contextual features for prostate cancer detection in multi-parametric MRI scans X Yu, B Lou, B Shi, D Winkel, N Arrahmane, M Diallo, T Meng, ... 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1355-1359, 2020 | 41 | 2020 |
| Validation of a fully automated liver segmentation algorithm using multi-scale deep reinforcement learning and comparison versus manual segmentation DJ Winkel, TJ Weikert, HC Breit, G Chabin, E Gibson, TJ Heye, ... European journal of radiology 126, 108918, 2020 | 40 | 2020 |
| Deep attentive panoptic model for prostate cancer detection using biparametric MRI scans X Yu, B Lou, D Zhang, D Winkel, N Arrahmane, M Diallo, T Meng, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 36 | 2020 |
| Structured reporting of prostate magnetic resonance imaging has the potential to improve interdisciplinary communication C Wetterauer, DJ Winkel, JR Federer-Gsponer, A Halla, S Subotic, ... PLoS One 14 (2), e0212444, 2019 | 36 | 2019 |
| Compressed sensing radial sampling MRI of prostate perfusion: utility for detection of prostate cancer DJ Winkel, TJ Heye, MR Benz, CG Glessgen, C Wetterauer, L Bubendorf, ... Radiology 290 (3), 702-708, 2019 | 34 | 2019 |
| Rapid and sustained control of itch and reduction in Th2 bias by dupilumab in a patient with Sézary syndrome O Steck, NL Bertschi, F Luther, J van den Berg, DJ Winkel, A Holbro, ... Journal of the European Academy of Dermatology and Venereology 35 (6), 1331-1337, 2021 | 33 | 2021 |
| Detection and PI-RADS classification of focal lesions in prostate MRI: performance comparison between a deep learning-based algorithm (DLA) and radiologists with various levels … SY Youn, MH Choi, DH Kim, YJ Lee, H Huisman, E Johnson, T Penzkofer, ... European Journal of Radiology 142, 109894, 2021 | 28 | 2021 |
| Gamification of electronic learning in radiology education to improve diagnostic confidence and reduce error rates DJ Winkel, P Brantner, J Lutz, S Korkut, S Linxen, TJ Heye American Journal of Roentgenology 214 (3), 618-623, 2020 | 28 | 2020 |
| More space, less noise—new-generation low-field magnetic resonance imaging systems can improve patient comfort: a prospective 0.55 T–1.5 T-scanner comparison T Rusche, J Vosshenrich, DJ Winkel, R Donners, M Segeroth, M Bach, ... Journal of Clinical Medicine 11 (22), 6705, 2022 | 26 | 2022 |
| Deep learning for vessel-specific coronary artery calcium scoring: validation on a multi-centre dataset DJ Winkel, VR Suryanarayana, AM Ali, J Görich, SJ Buß, A Mendoza, ... European Heart Journal-Cardiovascular Imaging 23 (6), 846-854, 2022 | 26 | 2022 |
| Predicting clinically significant prostate cancer from quantitative image features including compressed sensing radial MRI of prostate perfusion using machine learning … DJ Winkel, HC Breit, B Shi, DT Boll, HH Seifert, C Wetterauer Quantitative imaging in medicine and surgery 10 (4), 808, 2020 | 22 | 2020 |
| A concurrent, deep learning–based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists S Labus, MM Altmann, H Huisman, A Tong, T Penzkofer, MH Choi, ... European Radiology 33 (1), 64-76, 2023 | 21 | 2023 |
| Evaluation of liver fibrosis and cirrhosis on the basis of quantitative T1 mapping: Are acute inflammation, age and liver volume confounding factors? HC Breit, KT Block, DJ Winkel, JE Gehweiler, MJ Henkel, T Weikert, ... European Journal of Radiology 141, 109789, 2021 | 19 | 2021 |
| Prediction of patient management in COVID-19 using deep learning-based fully automated extraction of cardiothoracic CT metrics and laboratory findings T Weikert, S Rapaka, S Grbic, T Re, S Chaganti, DJ Winkel, ... Korean Journal of Radiology 22 (6), 994, 2021 | 19 | 2021 |
| Localization and classification of abnormalities in medical images A Kamen, A Tuysuzoglu, B Lou, B Shi, N Von Roden, K Abdelrahman, ... US Patent 11,403,750, 2022 | 14 | 2022 |
