| Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network J Haubold, R Hosch, L Umutlu, A Wetter, P Haubold, A Radbruch, ... European Radiology 31, 6087-6095, 2021 | 34 | 2021 |
| Deep learning‐based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer J Keyl, R Hosch, A Berger, O Ester, T Greiner, S Bogner, J Treckmann, ... Journal of cachexia, sarcopenia and muscle 14 (1), 545-552, 2023 | 16 | 2023 |
| Fully automated MR based virtual biopsy of cerebral gliomas J Haubold, R Hosch, V Parmar, M Glas, N Guberina, OA Catalano, ... Cancers 13 (24), 6186, 2021 | 13 | 2021 |
| Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein S Koitka, P Gudlin, JM Theysohn, A Oezcelik, DP Hoyer, M Dayangac, ... Scientific Reports 12 (1), 16479, 2022 | 12 | 2022 |
| Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity R Hosch, S Kattner, MM Berger, T Brenner, J Haubold, J Kleesiek, ... Scientific Reports 12 (1), 16411, 2022 | 12 | 2022 |
| CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients L Kroll, A Mathew, G Baldini, R Hosch, S Koitka, J Kleesiek, C Rischpler, ... Scientific Reports 12 (1), 13419, 2022 | 12 | 2022 |
| Artificial intelligence guided enhancement of digital PET: scans as fast as CT? R Hosch, M Weber, M Sraieb, N Flaschel, J Haubold, MS Kim, L Umutlu, ... European journal of nuclear medicine and molecular imaging 49 (13), 4503-4515, 2022 | 10 | 2022 |
| FHIR-PYrate: a data science friendly Python package to query FHIR servers R Hosch, G Baldini, V Parmar, K Borys, S Koitka, M Engelke, K Arzideh, ... BMC Health Services Research 23 (1), 734, 2023 | 8 | 2023 |
| Contrast media reduction in computed tomography with deep learning using a generative adversarial network in an experimental animal study J Haubold, G Jost, JM Theysohn, JM Ludwig, Y Li, J Kleesiek, ... Investigative Radiology 57 (10), 696-703, 2022 | 8 | 2022 |
| Differentiation between anteroposterior and posteroanterior chest X-ray view position with convolutional neural networks R Hosch, L Kroll, F Nensa, S Koitka RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2021 | 7 | 2021 |
| BOA: A CT-based body and organ analysis for radiologists at the point of care J Haubold, G Baldini, V Parmar, BM Schaarschmidt, S Koitka, L Kroll, ... Investigative Radiology, 10.1097, 2023 | 6 | 2023 |
| Contrast agent dose reduction in MRI utilizing a generative adversarial network in an exploratory animal study J Haubold, G Jost, JM Theysohn, JM Ludwig, Y Li, J Kleesiek, ... Investigative Radiology 58 (6), 396-404, 2023 | 6 | 2023 |
| Prognostic value of deep learning-derived body composition in advanced pancreatic cancer—a retrospective multicenter study J Keyl, A Bucher, F Jungmann, R Hosch, A Ziller, R Armbruster, ... ESMO open 9 (1), 102219, 2024 | 3 | 2024 |
| Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management M Engelke, CS Schmidt, G Baldini, V Parmar, R Hosch, K Borys, S Koitka, ... Blood 142 (26), 2315-2326, 2023 | 3 | 2023 |
| Individualized scan protocols for CT angiography: an animal study for contrast media or radiation dose optimization J Haubold, S Zensen, R Hosch, BM Schaarschmidt, D Bos, B Schmidt, ... European Radiology Experimental 7 (1), 24, 2023 | 3 | 2023 |
| Predicting individual patient platelet demand in a large tertiary care hospital using machine learning M Engelke, CM Brieske, V Parmar, N Flaschel, A Kureishi, R Hosch, ... Transfusion Medicine and Hemotherapy 50 (4), 277-285, 2023 | 2 | 2023 |
| AI-based digital histopathology for perihilar cholangiocarcinoma: A step, not a jump DP Hoyer, S Ting, N Rogacka, S Koitka, R Hosch, N Flaschel, J Haubold, ... Journal of Pathology Informatics 15, 100345, 2024 | 1 | 2024 |
| SAROS: A dataset for whole-body region and organ segmentation in CT imaging S Koitka, G Baldini, L Kroll, N van Landeghem, OB Pollok, J Haubold, ... Scientific Data 11 (1), 483, 2024 | 1 | 2024 |
| Body composition impacts outcome of bronchoscopic lung volume reduction in patients with severe emphysema: a fully automated CT-based analysis J Wienker, K Darwiche, N Rüsche, E Büscher, R Karpf-Wissel, J Winantea, ... Scientific Reports 14 (1), 8718, 2024 | 1 | 2024 |
| AI as a new frontier in contrast media research: bridging the gap between contrast media reduction, the contrast-free question and new application discoveries J Haubold, R Hosch, G Jost, F Kreis, M Forsting, H Pietsch, F Nensa Investigative Radiology 59 (2), 206-213, 2024 | 1 | 2024 |
