Influence of age and gender on complexity measures for short term heart rate variability analysis in healthy subjects. - Andreas Voss; Rico Schroeder; Claudia Fischer; Andreas Heitmann; Annette Peters; Siegfried Perz (EMBC, 2013)

pulver: an R package for parallel ultra-rapid p-value computation for linear regression interaction terms. - Sophie Molnos; Clemens Baumbach; Simone Wahl; Martina Müller-Nurasyid; Konstantin Strauch; Rui Wang-Sattler; Melanie Waldenberger; Thomas Meitinger; Jerzy Adamski; Gabi Kastenmüller; Karsten Suhre; Annette Peters; et al. (BMC Bioinform., 2017)

Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. - Benjamín Gutiérrez-Becker; Sergios Gatidis; Daniel Gutmann; Annette Peters; Christopher Schlett; Fabian Bamberg; Christian Wachinger (ShapeMI@MICCAI, 2018)

Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. - Jyotirmay Senapati; Abhijit Guha Roy; Sebastian Pölsterl; Daniel Gutmann; Sergios Gatidis; Christopher Schlett; Annette Peters; Fabian Bamberg; Christian Wachinger (MLMI@MICCAI, 2020)

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning. - Janine Arloth; Gökcen Eraslan; Till F. M. Andlauer; Jade Martins; Stella Iurato; Brigitte Kühnel; Melanie Waldenberger; Josef Frank; Ralf Gold; Bernhard Hemmer; Felix Luessi; Sandra Nischwitz; et al. (PLoS Comput. Biol., 2020)

Predicting brain-age from raw T1-weighted Magnetic Resonance Imaging data using 3D Convolutional Neural Networks. - Lukas Fisch; Jan Ernsting; Nils R. Winter; Vincent Holstein; Ramona Leenings; Marie Beisemann; Kelvin Sarink; Daniel Emden; Nils Opel; Ronny Redlich; Jonathan Repple; Dominik Grotegerd; et al. (CoRR, 2021)

TIGER: technical variation elimination for metabolomics data using ensemble learning architecture. - Siyu Han; Jialing Huang; Francesco Foppiano; Cornelia Prehn; Jerzy Adamski; Karsten Suhre; Ying Li 004; Giuseppe Matullo; Freimut Schliess; Christian Gieger; Annette Peters; Rui Wang-Sattler (Briefings Bioinform., 2022)

AbdomenNet: deep neural network for abdominal organ segmentation in epidemiologic imaging studies. - Anne-Marie Rickmann; Jyotirmay Senapati; Oksana P. Kovalenko; Annette Peters; Fabian Bamberg; Christian Wachinger (BMC Medical Imaging, 2022)

FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation. - Tobias Bernecker; Annette Peters; Christopher L. Schlett; Fabian Bamberg; Fabian J. Theis; Daniel Rueckert; Jakob Weiß; Shadi Albarqouni (CoRR, 2022)

A randomization-based causal inference framework for uncovering environmental exposure effects on human gut microbiota. - Alice J. Sommer; Annette Peters; Martina Rommel; Josef Cyrys; Harald Grallert; Dirk Haller; Christian L. Müller; Marie-Abèle C. Bind (PLoS Comput. Biol., 2022)

MAGO-SP: Detection and Correction of Water-Fat Swaps in Magnitude-Only VIBE MRI. - Robert Graf; Hendrik Kristian Möller; Sophie Starck; Matan Atad; Philipp Braun; Jonathan K. Stelter; Annette Peters; Lilian Krist; Stefan Willich; Henry Völzke; Robin Bülow; Klaus Berger; et al. (CoRR, 2025)