Home | News

02.01.2020

Tiny logo
Teaser image to MCML Researchers in Highly-Ranked Journals

MCML Researchers in Highly-Ranked Journals

Nine Papers in 2020 Highlight Scientific Impact

We are happy to announce that MCML researchers are represented in 2020 with nine papers in highly-ranked journals. Congrats to our researchers!

M. Lotfollahi • M. Naghipourfar • F. J. Theis • F. A. Wolf
Conditional out-of-distribution generation for unpaired data using transfer VAE.
Bioinformatics 36.Supplement 2. Dec. 2020. DOI
S. Klau • M.-L. Martin-Magniette • A.-L. Boulesteix • S. Hoffmann
Sampling uncertainty versus method uncertainty: a general framework with applications to omics biomarker selection.
Biometrical Journal 62.3. May. 2020. DOI
M. Herrmann • P. Probst • R. Hornung • V. Jurinovic • A.-L. Boulesteix
Large-scale benchmark study of survival prediction methods using multi-omics data.
Briefings in Bioinformatics 22.3. Aug. 2020. DOI
J. Kranich • N.-K. Chlis • L. Rausch • A. Latha • M. Schifferer • T. Kurz • A. F.-A. Kia • M. Simons • F. J. Theis • T. Brocker
In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning.
Journal of Extracellular Vesicles 9.1. Jul. 2020. DOI
D. S. Fischer • Y. Wu • B. Schubert • F. J. Theis
Predicting antigen specificity of single T cells based on TCR CDR3 regions.
Molecular Systems Biology 16.8. Aug. 2020. DOI
V. Bergen • M. Lange • S. Peidli • F. A. Wolf • F. J. Theis
Generalizing RNA velocity to transient cell states through dynamical modeling.
Nature Biotechnology 38. Aug. 2020. DOI
S. Sachs • A. Bastidas-Ponce • S. Tritschler • M. Bakhti • A. Böttcher • M. A. Sánchez-Garrido • M. Tarquis-Medina • M. Kleinert • K. Fischer • S. Jall • A. Harger • E. Bader • S. Roscioni • S. Ussar • A. Feuchtinger • B. Yesildag • A. Neelakandhan • C. B. Jensen • M. Cornu • B. Yang • B. Finan • R. D. DiMarchi • M. H. Tschöp • F. J. Theis • S. M. Hofmann • T. D. Müller • H. Lickert
Targeted pharmacological therapy restores β-cell function for diabetes remission.
Nature Metabolism 2. Feb. 2020. DOI
N.-K. Chlis • L. Rausch • T. Brocker • J. Kranich • F. J. Theis
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.
Nucleic Acids Research 48.20. Nov. 2020. DOI
C. Stachl • Q. Au • R. Schoedel • S. D. Gosling • G. M. Harari • D. Buschek • S. T. Völkel • T. Schuwerk • M. Oldemeier • T. Ullmann • H. Hussmann • B. Bischl • M. Bühner
Predicting personality from patterns of behavior collected with smartphones.
Proceedings of the National Academy of Sciences 117.30. Jul. 2020. DOI
#research #top-tier-work #bischl #boulesteix #theis

Related

Link to Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI

16.09.2026

Vincent Fortuin Receives ERC Starting Grant for Reliable Small-Data AI

MCML PI Vincent Fortuin receives an ERC Starting Grant for AutoBayes, advancing reliable AI methods for learning from small datasets.

Read more
Link to Björn Eskofier: The Missing Ingredient for AI in Medicine Is Real-World Data

14.09.2026

Björn Eskofier: The Missing Ingredient for AI in Medicine Is Real-World Data

MCML PI Björn Eskofier explains why real-world data is key to using AI for personalized treatment and more empowered healthcare.

Read more
Tiny logo
Link to MCML at ECCV 2026

07.09.2026

MCML at ECCV 2026

MCML researchers are represented with 28 papers at ECCV 2026.

Read more
Tiny logo
Link to MCML at ECML-PKDD 2026

04.09.2026

MCML at ECML-PKDD 2026

MCML researchers are represented with 6 papers at ECML-PKDD 2026.

Read more
Link to Julia Schnabel: What If a Broken Rib Could Save Your Life?

03.09.2026

Julia Schnabel: What if a Broken Rib Could Save Your Life?

MCML PI Julia Schnabel explores how AI can uncover hidden signs of disease in medical images that might otherwise go undetected.

Read more
Back to Top