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Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset.
Zandehshahvar M, van Assen M, Kim E, Kiarashi Y, Keerthipati V, Tessarin G, Muscogiuri E, Stillman AE, Filev P, Davarpanah AH, Berkowitz EA, Tigges S, Lee SJ, Vey BL, De Cecco C, Adibi A. Zandehshahvar M, et al. Among authors: van assen m. J Imaging Inform Med. 2024 Aug 20. doi: 10.1007/s10278-024-01151-5. Online ahead of print. J Imaging Inform Med. 2024. PMID: 39164451
Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.
Martin SS, van Assen M, Rapaka S, Hudson HT Jr, Fischer AM, Varga-Szemes A, Sahbaee P, Schwemmer C, Gulsun MA, Cimen S, Sharma P, Vogl TJ, Schoepf UJ. Martin SS, et al. Among authors: van assen m. JACC Cardiovasc Imaging. 2020 Feb;13(2 Pt 1):524-526. doi: 10.1016/j.jcmg.2019.09.015. Epub 2019 Nov 13. JACC Cardiovasc Imaging. 2020. PMID: 31734200 Free article. No abstract available.
Myocardial tissue characterization by combining late gadolinium enhancement imaging and percent edema mapping: a novel T2 map-based MRI method in canine myocardial infarction.
Suranyi P, Elgavish GA, Schoepf UJ, Ruzsics B, Kiss P, van Assen M, Jacobs BE, Brott BC, Elgavish A, Varga-Szemes A. Suranyi P, et al. Among authors: van assen m. Eur Radiol Exp. 2018;2(1):6. doi: 10.1186/s41747-018-0037-6. Epub 2018 Mar 16. Eur Radiol Exp. 2018. PMID: 29708212 Free PMC article.
Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques.
Mastrodicasa D, Albrecht MH, Schoepf UJ, Varga-Szemes A, Jacobs BE, Gassenmaier S, De Santis D, Eid MH, van Assen M, Tesche C, Mantini C, De Cecco CN. Mastrodicasa D, et al. Among authors: van assen m. J Cardiovasc Comput Tomogr. 2019 Nov-Dec;13(6):331-335. doi: 10.1016/j.jcct.2018.10.026. Epub 2018 Oct 26. J Cardiovasc Comput Tomogr. 2019. PMID: 30391256
157 results