Mark Lachmann

Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells

Dai Kusumoto, Mark Lachmann, Takeshi Kunihiro et al. · Stem Cell Reports · 2018 · 107 citations · Full text

Subphenotyping of Patients With Aortic Stenosis by Unsupervised Agglomerative Clustering of Echocardiographic and Hemodynamic Data

Mark Lachmann, Elena Rippen, Tibor Schuster et al. · JACC: Cardiovascular Interventions · 2021 · 42 citations

Heart Failure, Cardiovascular Disease, Unsupervised Agglomerative Clustering +12

Artificial intelligence-derived risk score for mortality in secondary mitral regurgitation treated by transcatheter edge-to-edge repair: the EuroSMR risk score

Jörg Hausleiter, Mark Lachmann, Lukas Stolz et al. · European Heart Journal · 2024 · 41 citations

Sex-Related Differences in Clinical Characteristics and Outcome Prediction Among Patients Undergoing Transcatheter Tricuspid Valve Intervention

Vera Fortmeier, Mark Lachmann, Maria Isabel Körber et al. · JACC: Cardiovascular Interventions · 2023 · 40 citations

Cardiovascular Disease, Medicine, Outcome Prediction +11

Retinoic acid signaling modulation guides in vitro specification of human heart field-specific progenitor pools

Dorota Zawada, Jessica Kornherr, Anna B. Meier et al. · Nature Communications · 2023 · 34 citations · Full text