| Prediction of postoperative outcome after hepatectomy with a new bedside test for maximal liver function capacity M Stockmann, JF Lock, B Riecke, K Heyne, P Martus, M Fricke, ... Annals of surgery 250 (1), 119-125, 2009 | 351 | 2009 |
| The LiMAx test: a new liver function test for predicting postoperative outcome in liver surgery M Stockmann, JF Lock, M Malinowski, SM Niehues, D Seehofer, ... Hpb 12 (2), 139-146, 2010 | 323 | 2010 |
| The role of visceral adiposity in the severity of COVID-19: Highlights from a unicenter cross-sectional pilot study in Germany A Petersen, K Bressem, J Albrecht, HM Thieß, J Vahldiek, B Hamm, ... Metabolism 110, 154317, 2020 | 200 | 2020 |
| Comparing different deep learning architectures for classification of chest radiographs KK Bressem, LC Adams, C Erxleben, B Hamm, SM Niehues, JL Vahldiek Scientific reports 10 (1), 13590, 2020 | 190 | 2020 |
| Retrospective digital image fusion of multidetector CT and 18F-FDG PET: clinical value in pancreatic lesions—a prospective study with 104 patients AJ Lemke, SM Niehues, N Hosten, H Amthauer, M Boehmig, ... Journal of nuclear medicine 45 (8), 1279-1286, 2004 | 144 | 2004 |
| Living Donor Right Liver Lobes: Preoperative CT Volumetric Measurement for Calculation of Intraoperative Weight and Volume1 AJ Lemke, MJ Brinkmann, T Schott, SM Niehues, U Settmacher, ... Radiology 240 (3), 736-742, 2006 | 143 | 2006 |
| Development of a deep learning algorithm for periapical disease detection in dental radiographs MG Endres, F Hillen, M Salloumis, AR Sedaghat, SM Niehues, O Quatela, ... Diagnostics 10 (6), 430, 2020 | 110 | 2020 |
| Function and volume recovery after partial hepatectomy: influence of preoperative liver function, residual liver volume, and obesity JF Lock, M Malinowski, D Seehofer, S Hoppe, RI Röhl, SM Niehues, ... Langenbeck's archives of surgery 397, 1297-1304, 2012 | 108 | 2012 |
| Leveraging GPT-4 for post hoc transformation of free-text radiology reports into structured reporting: a multilingual feasibility study LC Adams, D Truhn, F Busch, A Kader, SM Niehues, MR Makowski, ... Radiology 307 (4), e230725, 2023 | 107 | 2023 |
| Liver volume measurement: reason of the difference between in vivo CT-volumetry and intraoperative ex vivo determination and how to cope it SM Niehues, JK Unger, M Malinowski, J Neymeyer, B Hamm, ... European journal of medical research 15, 345-350, 2010 | 91 | 2010 |
| Miniature pigs as an animal model for implant research: bone regeneration in critical-size defects B Ruehe, S Niehues, S Heberer, K Nelson Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and …, 2009 | 80 | 2009 |
| Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports KK Bressem, LC Adams, RA Gaudin, D Tröltzsch, B Hamm, MR Makowski, ... Bioinformatics 36 (21), 5255-5261, 2020 | 68 | 2020 |
| Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance KK Bressem, JL Vahldiek, L Adams, SM Niehues, H Haibel, ... Arthritis Research & Therapy 23, 1-10, 2021 | 47 | 2021 |
| Low-dose computed tomography to detect body-packing in an animal model MH Maurer, SM Niehues, D Schnapauff, C Grieser, JH Rothe, ... European journal of radiology 78 (2), 302-306, 2011 | 47 | 2011 |
| Ventral recumbency is crucial for fast and safe orotracheal intubation in laboratory swine MM Theisen, M Maas, MAG Hartlage, F Ploner, SM Niehues, ... Laboratory animals 43 (1), 96-101, 2009 | 39 | 2009 |
| Prostate158-An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection LC Adams, MR Makowski, G Engel, M Rattunde, F Busch, P Asbach, ... Computers in Biology and Medicine 148, 105817, 2022 | 38 | 2022 |
| Influence of pelvic volume on surgical outcome after low anterior resection for rectal cancer G Zur Hausen, J Gröne, D Kaufmann, SM Niehues, K Aschenbrenner, ... International Journal of Colorectal Disease 32, 1125-1135, 2017 | 32 | 2017 |
| Comparison of bipolar radiofrequency ablation zones in an in vivo porcine model: Correlation of histology and gross pathological findings O Gemeinhardt, FGM Poch, B Hiebl, U Kunz-Zurbuchen, GM Corte, ... Clinical hemorheology and microcirculation 64 (3), 491-499, 2016 | 32 | 2016 |
| Automated lung volumetry from routine thoracic CT scans: how reliable is the result? M Haas, B Hamm, SM Niehues Academic radiology 21 (5), 633-638, 2014 | 32 | 2014 |
| Deep learning detects changes indicative of axial spondyloarthritis at MRI of sacroiliac joints KK Bressem, LC Adams, F Proft, KGA Hermann, T Diekhoff, L Spiller, ... Radiology 305 (3), 655-665, 2022 | 30 | 2022 |
