Christoph Lippert

Biochemistry, Genetics and Molecular Biology · Life Sciences

34h-index6.6kcitations144works5.62yr avg
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Research Topics

Genetic Associations and Epidemiology(41), Genetic Mapping and Diversity in Plants and Animals(22), Genetic and phenotypic traits in livestock(18), Bioinformatics and Genomic Networks(17), Gene expression and cancer classification(15)

Publications144 total

AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation
arXiv (Cornell University)·2026Open Access
AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation
ArXiv.org·2026Open Access
A Pre-Trained Model Customization Framework for Accelerated PET/MR Segmentation of Abdominal Fat in Obstructive Sleep Apnea
Diagnostics·2025Open Access
The AIR·MS data platform for artificial intelligence in healthcare
JAMIA Open·2025· 1 citedOpen Access
Automated Segmentation of the Small Bowel and Body Composition on MR Enterography: initial experience
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2025
JANET: Joint Adaptive predictioN-region Estimation for Time-series
Machine Learning·2025· 1 citedOpen Access
Multiple instance fine-mapping: predicting causal regulatory variants with a deep sequence model
2025Open Access
Design and Implementation of PharMe: A Mobile Application to Return Pharmacogenomic Test Results to Patients
2025Open Access
Token Cropr: Faster ViTs for Quite a Few Tasks
2025· 1 cited
JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows
arXiv (Cornell University)·2025Open Access
Large language models improve transferability of electronic health record-based predictions across countries and coding systems
2025· 3 citedOpen Access
Efficient Semi-automatic Segmentation-Labeling of Any Volumetric Medical Image
Computer Science Research Notes·2025Open Access
Development and internal validation of a gradient-boosted trees model for prediction of delirium after surgery and anesthesia (the BioCog study)
2024· 3 citedOpen Access
Automated Demand Forecasting in small to medium-sized enterprises
arXiv (Cornell University)·2024Open Access
TransferGWAS of T1-weighted brain MRI data from UK Biobank
PLoS Genetics·2024· 2 citedOpen Access
Token Cropr: Faster ViTs for Quite a Few Tasks
arXiv (Cornell University)·2024Open Access
Modern perspective of the Rice Diet for hypertension and other metabolic diseases
BMJ Nutrition Prevention & Health·2024· 4 citedOpen Access
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series
arXiv (Cornell University)·2024Open Access
Cellular atlases are unlocking the mysteries of the human body
Nature·2024· 9 citedOpen Access
Deep Nonparametric Conditional Independence Tests for Images
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

David Heckerman(15), Jennifer Listgarten(11), Oliver Stegle(8), Carl Kadie(7), Karsten Borgwardt(6), Stefan Konigorski(5), Aiham Taleb(5), Jana Fehr(5), Robert I Davidson(4), Amalio Telenti(4), Barbara Rakitsch(4), Remo Monti(4), Nicolò Fusi(3), Eun Yong Kang(3), Benjamin Bergner(3), Resign Gunda(3), Willem A. Hanekom(3), Alison D. Grant(3), Mark J. Siedner(3), Emily Wong(3)