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David J Winkel
David J Winkel
University Hospital Basel
Verified email at usb.ch
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Year
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
962020
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
852021
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
762019
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
602018
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
492020
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
412020
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
412020
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
372020
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
372019
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
362019
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
332021
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
302022
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
302021
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
292022
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
292020
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
242020
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
232023
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
232021
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
202021
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
172022
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