| 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 | 214 | 2024 |
| A vision–language foundation model for the generation of realistic chest x-ray images C Bluethgen, P Chambon, JB Delbrouck, R van der Sluijs, M Połacin, ... Nature Biomedical Engineering, 1-13, 2024 | 144* | 2024 |
| Adapting pretrained vision-language foundational models to medical imaging domains P Chambon, C Bluethgen, CP Langlotz, A Chaudhari arXiv preprint arXiv:2210.04133, 2022 | 126 | 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 | 111 | 2023 |
| 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 | 94 | 2024 |
| 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 | 80 | 2020 |
| 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 | 71 | 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 | 69 | 2018 |
| Chexagent: Towards a foundation model for chest x-ray interpretation Z Chen, M Varma, JB Delbrouck, M Paschali, L Blankemeier, D Van Veen, ... arXiv preprint arXiv:2401.12208, 2024 | 67 | 2024 |
| 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 | 67 | 2022 |
| 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 | 65 | 2022 |
| 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 | 44 | 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 | 40 | 2021 |
| 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 | 36 | 2023 |
| 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 | 32 | 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 | 31 | 2017 |
| Merlin: A vision language foundation model for 3d computed tomography L Blankemeier, JP Cohen, A Kumar, D Van Veen, SJS Gardezi, ... Research Square, rs. 3. rs-4546309, 2024 | 26 | 2024 |
| Impact of vessel suppressed-CT on diagnostic accuracy in detection of pulmonary metastasis and reading time K Martini, C Blüthgen, M Eberhard, ALN Schönenberger, I De Martini, ... Academic radiology 28 (7), 988-994, 2021 | 25 | 2021 |
| 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 | 25 | 2020 |
| 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 | 25 | 2020 |
Akshay ChaudhariAssistant Professor, Stanford Universityยืนยันอีเมลแล้วที่ stanford.edu
