| Automated deep learning-based system to identify endothelial cells derived from induced pluripotent stem cells D Kusumoto, M Lachmann, T Kunihiro, S Yuasa, Y Kishino, M Kimura, ... Stem cell reports 10 (6), 1687-1695, 2018 | 80 | 2018 |
| Emerin plays a crucial role in nuclear invagination and in the nuclear calcium transient M Shimojima, S Yuasa, C Motoda, G Yozu, T Nagai, S Ito, M Lachmann, ... Scientific reports 7 (1), 44312, 2017 | 32 | 2017 |
| Subphenotyping of patients with aortic stenosis by unsupervised agglomerative clustering of echocardiographic and hemodynamic data M Lachmann, E Rippen, T Schuster, E Xhepa, M von Scheidt, C Pellegrini, ... Cardiovascular Interventions 14 (19), 2127-2140, 2021 | 28 | 2021 |
| Successfully implemented artificial intelligence and machine learning applications in cardiology: state-of-the-art review J Van den Eynde, M Lachmann, KL Laugwitz, C Manlhiot, S Kutty Trends in cardiovascular medicine 33 (5), 265-271, 2023 | 17 | 2023 |
| Solving the pulmonary hypertension paradox in patients with severe tricuspid regurgitation by employing artificial intelligence V Fortmeier, M Lachmann, MI Körber, M Unterhuber, M von Scheidt, ... Cardiovascular Interventions 15 (4), 381-394, 2022 | 14 | 2022 |
| Vascular tissue specific miRNA profiles reveal novel correlations with risk factors in coronary artery disease KD Neiburga, B Vilne, S Bauer, D Bongiovanni, T Ziegler, M Lachmann, ... Biomolecules 11 (11), 1683, 2021 | 13 | 2021 |
| Retinoic acid signaling modulation guides in vitro specification of human heart field-specific progenitor pools D Zawada, J Kornherr, AB Meier, G Santamaria, T Dorn, M Nowak-Imialek, ... Nature communications 14 (1), 1722, 2023 | 12 | 2023 |
| Sex-related differences in clinical characteristics and outcome prediction among patients undergoing transcatheter tricuspid valve intervention V Fortmeier, M Lachmann, MI Körber, M Unterhuber, AR Schöber, L Stolz, ... Cardiovascular Interventions 16 (8), 909-923, 2023 | 10 | 2023 |
| The complement C3-complement factor D-C3a receptor signalling axis regulates cardiac remodelling in right ventricular failure S Ito, H Hashimoto, H Yamakawa, D Kusumoto, Y Akiba, T Nakamura, ... Nature communications 13 (1), 5409, 2022 | 10 | 2022 |
| Remission of congenital hyperinsulinism following conservative treatment: an exploratory study in patients with KATP channel mutations MJ Lachmann, B Salgin, S Kummer, A Welters, C Döing, M Zenker, ... Journal of Pediatric Endocrinology and Metabolism 29 (3), 281-287, 2016 | 8 | 2016 |
| Machine learning identifies pathophysiologically and prognostically informative phenotypes among patients with mitral regurgitation undergoing transcatheter edge-to-edge repair T Trenkwalder, M Lachmann, L Stolz, V Fortmeier, HAA Covarrubias, ... European Heart Journal-Cardiovascular Imaging 24 (5), 574-587, 2023 | 7 | 2023 |
| Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in … M Lachmann, E Rippen, D Rueckert, T Schuster, E Xhepa, M Von Scheidt, ... European Heart Journal Digital Health 3 (2), 153-168, 2022 | 7 | 2022 |
| Artificial intelligence-enabled phenotyping of patients with severe aortic stenosis: On the recovery of extra-aortic valve cardiac damage after transcatheter aortic valve … M Lachmann, E Rippen, T Schuster, E Xhepa, M Von Scheidt, ... Open Heart 9 (2), e002068, 2022 | 6 | 2022 |
| Epiphenomenon or prognostically relevant interventional target? A novel proportionality framework for severe tricuspid regurgitation V Fortmeier, M Lachmann, M Unterhuber, L Stolz, M Kassar, L Ochs, ... Journal of the American Heart Association 12 (6), e028737, 2023 | 5 | 2023 |
| Machine learning identifies new predictors on restenosis risk after coronary artery stenting in 10,004 patients with surveillance angiography U Güldener, T Kessler, M von Scheidt, JS Hawe, B Gerhard, D Maier, ... Journal of Clinical Medicine 12 (8), 2941, 2023 | 4 | 2023 |
| Artificial intelligence-derived risk score for mortality in secondary mitral regurgitation treated by transcatheter edge-to-edge repair: the EuroSMR risk score J Hausleiter, M Lachmann, L Stolz, F Bedogni, AP Rubbio, ... European Heart Journal, ehad871, 2024 | 3 | 2024 |
| Progression of a coronary artery aneurysm with symptomatic compression of cardiac structures M Lachmann, A Will, M Linhard, T Ibrahim European Heart Journal 39 (35), 3336-3336, 2018 | 3 | 2018 |
| Invasive Assessment of Right Ventricular to Pulmonary Artery Coupling Improves 1-year Mortality Prediction After Transcatheter Aortic Valve Replacement and Anticipates the … M Lachmann, A Hesse, T Trenkwalder, E Xhepa, T Rheude, ... Structural Heart 8 (3), 100282, 2024 | | 2024 |
| Artificial intelligence–enabled assessment of right ventricular to pulmonary artery coupling in patients undergoing transcatheter tricuspid valve intervention V Fortmeier, M Lachmann, L Stolz, J von Stein, M Unterhuber, M Kassar, ... European Heart Journal-Cardiovascular Imaging 25 (4), 558-572, 2024 | | 2024 |
| Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine E Martens, HU Haase, G Mastella, A Henkel, C Spinner, F Hahn, C Zou, ... Frontiers in Digital Health 6, 1341475, 2024 | | 2024 |
Karl-Ludwig LaugwitzProfessor of Cardiology, Technical University MunichVerified email at mri.tum.de
