| Adapting pretrained vision-language foundational models to medical imaging domains P Chambon, C Bluethgen, CP Langlotz, A Chaudhari arXiv preprint arXiv:2210.04133, 2022 | 79 | 2022 |
| Roentgen: vision-language foundation model for chest x-ray generation P Chambon, C Bluethgen, JB Delbrouck, R Van der Sluijs, M Połacin, ... arXiv preprint arXiv:2211.12737, 2022 | 69 | 2022 |
| Detection of tuberculosis patterns in digital photographs of chest X-ray images using Deep Learning: feasibility study AS Becker, C Blüthgen, C Sekaggya-Wiltshire, B Castelnuovo, ... The International Journal of Tuberculosis and Lung Disease 22 (3), 328-335, 2018 | 63 | 2018 |
| Detection and localization of distal radius fractures: Deep learning system versus radiologists C Blüthgen, AS Becker, IV de Martini, A Meier, K Martini, T Frauenfelder European journal of radiology 126, 108925, 2020 | 58 | 2020 |
| First performance evaluation of an artificial intelligence-based computer-aided detection system for pulmonary nodule evaluation in dual-source photon-counting detector CT at … L Jungblut, C Blüthgen, M Polacin, M Messerli, B Schmidt, A Euler, ... Investigative radiology 57 (2), 108-114, 2022 | 52 | 2022 |
| Clinical text summarization: adapting large language models can outperform human experts D Van Veen, C Van Uden, L Blankemeier, JB Delbrouck, A Aali, ... Research Square, 2023 | 47 | 2023 |
| Computed tomography-based radiomics decodes prognostic and molecular differences in interstitial lung disease related to systemic sclerosis J Schniering, M Maciukiewicz, HS Gabrys, M Brunner, C Blüthgen, ... European respiratory journal 59 (5), 2022 | 46 | 2022 |
| Improving the factual correctness of radiology report generation with semantic rewards JB Delbrouck, P Chambon, C Bluethgen, E Tsai, O Almusa, CP Langlotz arXiv preprint arXiv:2210.12186, 2022 | 41 | 2022 |
| Comparison of the PI-RADS 2.1 scoring system to PI-RADS 2.0: Impact on diagnostic accuracy and inter-reader agreement AM Hötker, C Blüthgen, NJ Rupp, AF Schneider, D Eberli, OF Donati Plos one 15 (10), e0239975, 2020 | 30 | 2020 |
| Economical sponge phantom for teaching, understanding, and researching A‐and B‐line reverberation artifacts in lung ultrasound C Blüthgen, S Sanabria, T Frauenfelder, V Klingmüller, M Rominger Journal of Ultrasound in Medicine 36 (10), 2133-2142, 2017 | 30 | 2017 |
| RadAdapt: Radiology report summarization via lightweight domain adaptation of large language models D Van Veen, C Van Uden, M Attias, A Pareek, C Bluethgen, M Polacin, ... arXiv preprint arXiv:2305.01146, 2023 | 27 | 2023 |
| Applicability of radiomics in interstitial lung disease associated with systemic sclerosis: proof of concept K Martini, B Baessler, M Bogowicz, C Blüthgen, M Mannil, ... European radiology 31, 1987-1998, 2021 | 27 | 2021 |
| Adapted large language models can outperform medical experts in clinical text summarization D Van Veen, C Van Uden, L Blankemeier, JB Delbrouck, A Aali, ... Nature medicine 30 (4), 1134-1142, 2024 | 26 | 2024 |
| Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions TA D’Antonoli, A Stanzione, C Bluethgen, F Vernuccio, L Ugga, ... Diagnostic and Interventional Radiology 30 (2), 80, 2024 | 24 | 2024 |
| Deep learning based detection of intracranial aneurysms on digital subtraction angiography: a feasibility study N Hainc, M Mannil, V Anagnostakou, H Alkadhi, C Blüthgen, L Wacht, ... The neuroradiology journal 33 (4), 311-317, 2020 | 24 | 2020 |
| FDA-cleared artificial intelligence and machine learning-based medical devices and their 510 (k) predicate networks UJ Muehlematter, C Bluethgen, KN Vokinger The Lancet Digital Health 5 (9), e618-e626, 2023 | 22 | 2023 |
| Dual-energy low-keV or single-energy low-kV CT for endoleak detection?: a 6-reader study in an aortic aneurysm phantom S Skawran, F Angst, C Blüthgen, M Eberhard, P Kälin, A Kobe, D Nagy, ... Investigative radiology 55 (1), 45-52, 2020 | 20 | 2020 |
| Brown fat does not cause cachexia in cancer patients: A large retrospective longitudinal FDG-PET/CT cohort study AS Becker, C Zellweger, S Bacanovic, S Franckenberg, HW Nagel, L Frick, ... PLoS One 15 (10), e0239990, 2020 | 19 | 2020 |
| Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis C Blüthgen, M Patella, A Euler, B Baessler, K Martini, J von Spiczak, ... PloS one 16 (12), e0261401, 2021 | 17 | 2021 |
| Deep learning for automatic quantification of lung abnormalities in COVID-19 patients: First experience and correlation with clinical parameters V Mergen, A Kobe, C Blüthgen, A Euler, T Flohr, T Frauenfelder, ... European journal of radiology open 7, 100272, 2020 | 16 | 2020 |
Curtis P. LanglotzProfessor of Radiology, Medicine, and Biomedical Data Science, Stanford University在 stanford.edu 的电子邮件经过验证
