| 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 | 175 | 2020 |
| Comparing Different Deep Learning Architectures for Classification of Chest Radiographs KK Bressem, L Adams, C Erxleben, B Hamm, S Niehues, J Vahldiek Scientific Reports 10 (13590 (2020)), 2020 | 167 | 2020 |
| Machine learning analysis of DNA methylation profiles distinguishes primary lung squamous cell carcinomas from head and neck metastases P Jurmeister, M Bockmayr, P Seegerer, T Bockmayr, D Treue, ... Science Translational Medicine 11 (509), eaaw8513, 2019 | 91 | 2019 |
| Renal cell carcinoma with venous extension: prediction of inferior vena cava wall invasion by MRI LC Adams, B Ralla, YNY Bender, K Bressem, B Hamm, J Busch, F Fuller, ... Cancer Imaging 18 (1), 1-9, 2018 | 67 | 2018 |
| 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 | 50 | 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 | 29 | 2021 |
| Non-alcoholic fatty liver disease in underweight patients with inflammatory bowel disease: A case-control study LC Adams, F Luebbe, K Bressem, M Wagner, B Hamm, MR Makowski PLoS One 13 (11), e0206450, 2018 | 29 | 2018 |
| Native T1 mapping as an in vivo biomarker for the identification of higher-grade renal cell carcinoma: correlation with histopathological findings LC Adams, B Ralla, P Jurmeister, KK Bressem, UL Fahlenkamp, B Hamm, ... Investigative radiology 54 (2), 118-128, 2019 | 28 | 2019 |
| Diagnostic performance of susceptibility-weighted magnetic resonance imaging for the detection of calcifications: a systematic review and meta-analysis LC Adams, K Bressem, SM Boeker, YNY Bender, D Noerenberg, B Hamm, ... Scientific Reports 7 (1), 15506, 2017 | 27 | 2017 |
| Use of quantitative T2 mapping for the assessment of renal cell carcinomas: first results LC Adams, KK Bressem, P Jurmeister, UL Fahlenkamp, B Ralla, G Engel, ... Cancer Imaging 19, 1-11, 2019 | 26 | 2019 |
| 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 | 23 | 2023 |
| Multipolar RFA of the liver: Influence of intrahepatic vessels on ablation zones and appropriateness of CECT in detecting ablation dimensions-Results of an in-vivo porcine … JL Vahldiek, C Erxleben, KK Bressem, O Gemeinhardt, F Poch, B Hiebl, ... Clinical hemorheology and microcirculation 70 (4), 467-476, 2018 | 18 | 2018 |
| De novo radiomics approach using image augmentation and features from T1 mapping to predict Gleason scores in prostate cancer MR Makowski, KK Bressem, L Franz, A Kader, SM Niehues, S Keller, ... Investigative Radiology 56 (10), 661-668, 2021 | 16 | 2021 |
| Multiparametric assessment of changes in renal tissue after kidney transplantation with quantitative MR relaxometry and diffusion-tensor imaging at 3 T LC Adams, KK Bressem, S Scheibl, M Nunninger, A Gentsch, ... Journal of Clinical Medicine 9 (5), 1551, 2020 | 16 | 2020 |
| Assessment of the extracellular volume fraction for the grading of clear cell renal cell carcinoma: first results and histopathological findings LC Adams, P Jurmeister, B Ralla, KK Bressem, UL Fahlenkamp, G Engel, ... European radiology 29, 5832-5843, 2019 | 16 | 2019 |
| 3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware KK Bressem, SM Niehues, B Hamm, MR Makowski, JL Vahldiek, ... arXiv preprint arXiv:2101.09976, 2021 | 15 | 2021 |
| MedAlpaca--An Open-Source Collection of Medical Conversational AI Models and Training Data T Han, LC Adams, JM Papaioannou, P Grundmann, T Oberhauser, ... arXiv preprint arXiv:2304.08247, 2023 | 13 | 2023 |
| Deep-learning-based diagnosis of bedside chest X-ray in intensive care and emergency medicine SM Niehues, LC Adams, RA Gaudin, C Erxleben, S Keller, MR Makowski, ... Investigative Radiology 56 (8), 525-534, 2021 | 13 | 2021 |
| Deep learning for accurately recognizing common causes of shoulder pain on radiographs NF Grauhan, SM Niehues, RA Gaudin, S Keller, JL Vahldiek, LC Adams, ... Skeletal Radiology, 1-8, 2021 | 13 | 2021 |
| Instant outcome evaluation of microwave ablation with subtraction CT in an in vivo porcine model KK Bressem, JL Vahldiek, C Erxleben, F Poch, B Hiebl, K Lehmann, ... Investigative radiology 54 (6), 333-339, 2019 | 13 | 2019 |
