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Keno Bressem
Keno Bressem
AI in Medicine (AIM) @ Harvard-MGB
Bestätigte E-Mail-Adresse bei bwh.harvard.edu
Titel
Zitiert von
Zitiert von
Jahr
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
1992020
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
1812020
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
1072019
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
962023
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
852023
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
742018
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
632020
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
442021
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
332019
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
332019
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
332018
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
322022
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
312017
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
302023
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
302022
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
232023
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
232020
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
222022
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
202021
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
192019
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