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M. Lachmann · SciRah

Researcher profile · Semantic Scholar

M. Lachmann

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M. Lachmann — researcher profile on SciRah

h-index: 13
Works: 54
Citations: 588

Most-cited papers

Automated Deep Learning-Based System to Identify Endothelial Cells Derived from Induced Pluripotent Stem Cells
D. Kusumoto, M. Lachmann, T. Kunihiro, S. Yuasa +6 more
2018Stem Cell Reports88 citations Open access
Semantic Scholar
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, Lukas Stolz, F. Bedogni +6 more
2024European Heart Journal50 citations
Semantic Scholar
Subphenotyping of Patients With Aortic Stenosis by Unsupervised Agglomerative Clustering of Echocardiographic and Hemodynamic Data.
M. Lachmann, E. Rippen, T. Schuster, E. Xhepa +13 more
2021JACC: Cardiovascular Interventions47 citations Open access
Semantic Scholar
Successfully Implemented Artificial Intelligence and Machine Learning Applications In Cardiology: State-of-the-Art Review.
Jef Van den Eynde, M. Lachmann, K. Laugwitz, C. Manlhiot +1 more
2022Trends in cardiovascular medicine39 citations
Semantic Scholar
The complement C3-complement factor D-C3a receptor signalling axis regulates cardiac remodelling in right ventricular failure
Shogo Ito, H. Hashimoto, Hiroyuki Yamakawa, D. Kusumoto +31 more
2022Nature Communications37 citations Open access
Semantic Scholar
Sex-Related Differences in Clinical Characteristics and Outcome Prediction Among Patients Undergoing Transcatheter Tricuspid Valve Intervention.
V. Fortmeier, M. Lachmann, M. Körber, M. Unterhuber +14 more
2023JACC: Cardiovascular Interventions34 citations Open access
Semantic Scholar
Vascular Tissue Specific miRNA Profiles Reveal Novel Correlations with Risk Factors in Coronary Artery Disease
K. D. Neiburga, B. Vilne, S. Bauer, Dario Bongiovanni +17 more
2021Biomolecules30 citations Open access
Semantic Scholar
Emerin plays a crucial role in nuclear invagination and in the nuclear calcium transient
Masaya Shimojima, S. Yuasa, Chikaaki Motoda, G. Yozu +18 more
2017Scientific Reports30 citations Open access
Semantic Scholar
Solving the Pulmonary Hypertension Paradox in Patients With Severe Tricuspid Regurgitation by Employing Artificial Intelligence.
V. Fortmeier, M. Lachmann, M. Körber, M. Unterhuber +14 more
2022JACC: Cardiovascular Interventions29 citations Open access
Semantic Scholar
Retinoic acid signaling modulation guides in vitro specification of human heart field-specific progenitor pools
Dorota Zawada, Jessica Kornherr, A. Meier, G. Santamaria +17 more
2022bioRxiv27 citations Open access
Semantic Scholar
"Artificial Intelligence-Enabled Assessment of Right Ventricular to Pulmonary Artery Coupling in Patients Undergoing Transcatheter Tricuspid Valve Intervention".
V. Fortmeier, M. Lachmann, L. Stolz, Jennifer von Stein +21 more
2023European Heart Journal-Cardiovascular Imaging23 citations
Semantic Scholar
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 +23 more
2023European Heart Journal-Cardiovascular Imaging20 citations
Semantic Scholar
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, Johann S. Hawe +8 more
2023Journal of Clinical Medicine14 citations Open access
Semantic Scholar
Simplified Outcome Prediction in Patients Undergoing Transcatheter Tricuspid Valve Intervention by Survival Tree-Based Modelling
V. Fortmeier, M. Lachmann, Lukas Stolz, Jennifer von Stein +23 more
2025JACC: Advances13 citations Open access
Semantic Scholar
Harnessing feature extraction capacities from a pre-trained convolutional neural network (VGG-16) for the unsupervised distinction of aortic outflow velocity profiles in patients with severe aortic stenosis
M. Lachmann, E. Rippen, D. Rueckert, T. Schuster +14 more
2022European Heart Journal - Digital Health13 citations Open access
Semantic Scholar
Deep Learning–Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation
M. Lachmann, V. Fortmeier, Lukas Stolz, M. Tokodi +22 more
2025Circulation Cardiovascular Imaging12 citations Open access
Semantic Scholar
Invasive Assessment of Right Ventricular to Pulmonary Artery Coupling Improves 1-year Mortality Prediction After Transcatheter Aortic Valve Replacement and Anticipates the Persistence of Extra-Aortic Valve Cardiac Damage
M. Lachmann, Amelie Hesse, T. Trenkwalder, E. Xhepa +13 more
2024Structural Heart9 citations Open access
Semantic Scholar
Artificial intelligence-enabled phenotyping of patients with severe aortic stenosis: on the recovery of extra-aortic valve cardiac damage after transcatheter aortic valve replacement
M. Lachmann, E. Rippen, T. Schuster, E. Xhepa +13 more
2022Open Heart9 citations Open access
Semantic Scholar
Medical Assistance in Dying (MAiD) for Persons Whose Sole Underlying Medical Condition is a Mental Disorder: Challenges and Considerations
A. Freeland, D. Godkin, J. Dembo, Peter Chan +8 more
2021Canadian journal of psychiatry. Revue canadienne de psychiatrie9 citations Open access
Semantic Scholar
Remission of congenital hyperinsulinism following conservative treatment: an exploratory study in patients with KATP channel mutations
M. Lachmann, B. Salgin, S. Kummer, A. Welters +5 more
2016Journal of Pediatric Endocrinology & Metabolism (JPEM)9 citations
Semantic Scholar
Smart hospital: achieving interoperability and raw data collection from medical devices in clinical routine
E. Martens, Hans-Ulrich Haase, G. Mastella, A. Henkel +19 more
2024Frontiers Digit. Health8 citations Open access
Semantic Scholar
Predicting Outcomes in Patients With Tricuspid Regurgitation Undergoing Transcatheter Edge-to-Edge Repair Using an Artificial Intelligence-Derived Risk Score: The EuroTR Risk Score.
J. Hausleiter, Lukas Stolz, Karl-Patrik Kresoja, Jennifer von Stein +49 more
2026JACC: Cardiovascular Interventions6 citations Open access
Semantic Scholar
Employment of artificial intelligence for an unbiased evaluation regarding the recovery of right ventricular function after mitral valve transcatheter edge‐to‐edge repair
V. Fortmeier, Amelie Hesse, T. Trenkwalder, M. Tokodi +18 more
2025European Journal of Heart Failure5 citations Open access
Semantic Scholar
Epiphenomenon or Prognostically Relevant Interventional Target? A Novel Proportionality Framework for Severe Tricuspid Regurgitation
V. Fortmeier, M. Lachmann, M. Unterhuber, Lukas Stolz +20 more
2023Journal of the American Heart Association : Cardiovascular and Cerebrovascular Disease5 citations Open access
Semantic Scholar
Outcomes after transcatheter mitral valve implantation in valve‐in‐valve, valve‐in‐ring, and valve‐in‐mitral annular calcification
H. Alvarez-Covarrubias, M. Joner, Marius Lutz, E. Xhepa +11 more
2024Catheterization and cardiovascular interventions4 citations Open access
Semantic Scholar
Aortic valve calcification volume and prognosis in patients undergoing transcatheter aortic valve implantation.
H. Alvarez-Covarrubias, Niklas Altaner, Rafael Adolf, Martin Jurisic +16 more
2024Revista Española de Cardiología3 citations Open access
Semantic Scholar
Progression of a coronary artery aneurysm with symptomatic compression of cardiac structures.
M. Lachmann, A. Will, Maryam Linhard, T. Ibrahim
2018European Heart Journal3 citations
Semantic Scholar
New Onset Post-Traumatic Stress Disorder in Long-Term Care Home Residents with a Pre-Existing Diagnosis of a Major Neurocognitive Disorder
M. Lachmann, S. Hu
20183 citations
Semantic Scholar
Phenotypic Diversity and Outcomes of Transcatheter Mitral Repair for Secondary Mitral Regurgitation: Insights From the COAPT and MITRA-FR Trials.
Guillaume Bonnet, Karl-Philipp Rommel, B. Redfors, R. Le Ruz +13 more
2026JACC: Cardiovascular Interventions2 citations
Semantic Scholar
Predicting procedural success in patients treated with Cardioband system for severe tricuspid regurgitation by employing a random forest algorithm
V. Fortmeier, M. Lachmann, M. Gerçek, F. Roder +7 more
2021European Heart Journal2 citations Open access
Semantic Scholar
Human immunodeficiency virus. Emerging epidemic in aboriginal people.
M. Lachmann
2002Canadian family physician Medecin de famille canadien2 citations
Semantic Scholar
Deep Learning–Derived Right Ventricular Ejection Fraction Predicts Mortality in Patients Undergoing Transcatheter Tricuspid Valve Intervention
V. Fortmeier, M. Tokodi, Attila Kovács, Michelle Fett +13 more
2026JACC: Advances1 citations Open access
Semantic Scholar
RV-PA Uncoupling Is Associated With 1-Year Mortality in ST-Segment Elevation Myocardial Infarction.
C. Graesser, J. Bresha, Ferdinand Roski, E. Petersen +19 more
2026JACC: Cardiovascular Interventions1 citations Open access
Semantic Scholar
Persistent Severe Tricuspid Regurgitation After Mitral Transcatheter Edge-to-Edge Repair: Prognostic Implications of Guideline-Based Eligibility for Transcatheter Tricuspid Valve Intervention
Moritz Kühlein, Jule Tervooren, V. Fortmeier, Amelie Hesse +15 more
2026Structural Heart1 citations Open access
Semantic Scholar
Reply to the letter regarding the article ‘Employment of artificial intelligence for an unbiased evaluation regarding the recovery of right ventricular function after mitral valve transcatheter edge‐to‐edge repair’
V. Fortmeier, M. Tokodi, M. Lachmann
2025European Journal of Heart Failure1 citations
Semantic Scholar
Volumen de calcificación de la válvula aórtica y su pronóstico en pacientes sometidos a implante percutáneo de válvula aórtica
Héctor A. Álvarez-Covarrubias, Niklas Altaner, Rafael Adolf, Martin Jurisic +16 more
2024Revista Española de Cardiología1 citations Open access
Semantic Scholar
TCT-163 Artificial Intelligence-Enabled Assessment of Right Ventricular to Pulmonary Artery Coupling Refines Mortality Prediction in Patients With Severe Tricuspid Regurgitation Undergoing Transcatheter Tricuspid Valve Intervention
V. Fortmeier, M. Lachmann, L. Stolz, M. Unterhuber +11 more
2023Journal of the American College of Cardiology1 citations
Semantic Scholar
Phenotyping for Novel Classification of Adults With Fontan Circulation by Machine Learning.
M. Nakashima, N. Toh, Tomohisa Seki, A. Saito +17 more
2026JACC: Asia0 citations Open access
Semantic Scholar
Mortality in patients undergoing catheter-based therapy vs. anticoagulation alone for intermediate-high risk pulmonary embolism
M. Brugger, A. Schneider, L. Mihatsch, Andre Kafka +9 more
2026Frontiers in Cardiovascular Medicine0 citations Open access
Semantic Scholar
Abstract 4138386: Deep Learning-Enabled Assessment of Right Ventricular Function Using 2D Echocardiograms Improves 1-Year Mortality Prediction in Patients with Severe Mitral Regurgitation Undergoing Transcatheter Edge-to-Edge Repair
M. Lachmann, V. Fortmeier, L. Stolz, M. Tokodi +8 more
2024Circulation0 citations
Semantic Scholar
TCT-620 Employment of Artificial Intelligence for an Unbiased Evaluation Regarding the Recovery of Right Ventricular Function After Mitral Valve Transcatheter Edge-to-Edge Repair
M. Lachmann, M. Tokodi, E. Xhepa, Amelie Hesse +7 more
2024Journal of the American College of Cardiology0 citations Open access
Semantic Scholar
TCT-858 Aortic Valve Calcification Volume and Prognosis in Patients Undergoing Transcatheter Aortic Valve Replacement
H. Covarrubias, Niklas Altaner, Rafael Adolf, Martin Jurisic +16 more
2024Journal of the American College of Cardiology0 citations Open access
Semantic Scholar
Reply: Right Ventricular-Pulmonary Arterial Coupling: So You Think You Can Tell?
V. Fortmeier, M. Lachmann, V. Rudolph
2023JACC: Cardiovascular Interventions0 citations Open access
Semantic Scholar
TCT-162 Unsupervised Clustering Based on Routine Structural and Functional Echocardiography Parameters Identifies 4 Pathophysiologically and Prognostically Informative Phenotypes Among Patients With Mitral Regurgitation Undergoing Transcatheter Edge-to-Edge Repair
E. Rippen, M. Lachmann, T. Trenkwalder, H. Covarrubias +9 more
2023Journal of the American College of Cardiology0 citations Open access
Semantic Scholar
TCT-570 Deep Learning-Enabled Assessment of Right Ventricular Function Using 2D Echocardiograms Improves 1-Year Mortality Prediction in Patients With Severe Mitral Regurgitation Undergoing Transcatheter Edge-to-Edge Repair
M. Lachmann, V. Fortmeier, M. Tokodi, G. Harmsen +13 more
2023Journal of the American College of Cardiology0 citations Open access
Semantic Scholar
TCT-496 Artificial Intelligence-Enabled Phenotyping of Patients with Severe Mitral Regurgitation: on the Recovery of Extra-Mitral Valve Cardiac Damage after Transcatheter Edge-to-Edge Repair
E. Rippen, M. Lachmann, T. Trenkwalder, Tibor Schuster +7 more
2023Journal of the American College of Cardiology0 citations
Semantic Scholar
Man-machine interaction-based phenotyping identifies pathophysiologically and prognostically informative clusters among patients with mitral regurgitation undergoing transcatheter edge-to-edge repair
M. Lachmann, T. Trenkwalder, H. Covarrubias, E. Rippen +10 more
2022European Heart Journal0 citations
Semantic Scholar
Man-machine interaction-based phenotyping preprocedurally identifies patients with severe aortic stenosis, who will not recover from cardiac damage following transcatheter aortic valve replacement
E. Rippen, M. Lachmann, T. Schuster, E. Xhepa +6 more
2022European Heart Journal0 citations
Semantic Scholar
Abstract 9220: Employing a Convolutional Neural Network Facilitates Unsupervised Clustering of Aortic Outflow Velocity Profiles from Patients With Severe Aortic Stenosis
M. Lachmann, E. Rippen, G. Harmsen, E. Xhepa +1 more
2021Circulation0 citations
Semantic Scholar
TCT-409 Unsupervised Clustering of Structural and Functional Echocardiographic Parameters Identifies a High-Risk Phenotype Among Patients With Severe Mitral Regurgitation Undergoing Transcatheter Edge-to-Edge Repair
T. Trenkwalder, M. Lachmann, H. Covarrubias, E. Rippen +11 more
2021Journal of the American College of Cardiology0 citations Open access
Semantic Scholar

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