| 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 | 202 | 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 | 183 | 2020 |
| 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 | 114 | 2023 |
| 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 | 111 | 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 | 94 | 2023 |
| 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, 1-9, 2018 | 74 | 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 | 66 | 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 |
| 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 | 36 | 2019 |
| 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 | 35 | 2022 |
| 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 | 34 | 2019 |
| Biomedical ethical aspects towards the implementation of artificial intelligence in medical education F Busch, LC Adams, KK Bressem Medical science educator 33 (4), 1007-1012, 2023 | 33 | 2023 |
| 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 | 33 | 2018 |
| 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 | 32 | 2017 |
| 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 | 31 | 2022 |
| What does DALL-E 2 know about radiology? LC Adams, F Busch, D Truhn, MR Makowski, HJWL Aerts, KK Bressem Journal of Medical Internet Research 25, e43110, 2023 | 26 | 2023 |
| 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 | 24 | 2020 |
| 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, 2022 | 23 | 2022 |
| 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 | 21 | 2021 |
| 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 | 20 | 2019 |
