TBro: visualization and management of de novo transcriptomes. - Markus J. Ankenbrand; Lorenz Weber; Dirk Becker; Frank Förster; Felix Bemm (Database J. Biol. Databases Curation, 2016)

AliTV-interactive visualization of whole genome comparisons. - Markus J. Ankenbrand; Sonja Hohlfeld; Thomas Hackl; Frank Förster (PeerJ Prepr., 2017)

chloroExtractor: extraction and assembly of the chloroplast genome from whole genome shotgun data. - Markus J. Ankenbrand; Simon Pfaff; Niklas Terhoeven; Musga Qureischi; Maik Gündel; Clemens L. Weiß; Thomas Hackl; Frank Förster (J. Open Source Softw., 2018)

Exploring Ensemble Applications for Multi-sequence Myocardial Pathology Segmentation. - Markus J. Ankenbrand; David Lohr; Laura Maria Schreiber (MyoPS@MICCAI, 2020)

BCdatabaser: on-the-fly reference database creation for (meta-)barcoding. - Alexander Keller 006; Sonja Hohlfeld; Andreas Kolter; Jörg Schultz; Birgit Gemeinholzer; Markus J. Ankenbrand (Bioinform., 2020)

Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI. - Markus J. Ankenbrand; Liliia Shainberg; Michael Hock; David Lohr; Laura Maria Schreiber (BMC Medical Imaging, 2021)

Efficient permutation-based genome-wide association studies for normal and skewed phenotypic distributions. - Maura John; Markus J. Ankenbrand; Carolin Artmann; Jan A. Freudenthal; Arthur Korte; Dominik G. Grimm (Bioinform., 2022)

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images. - Lei Li 020; Fuping Wu; Sihan Wang; Xinzhe Luo; Carlos Martín-Isla; Shuwei Zhai; Jianpeng Zhang; Yanfei Liu; Zhen Zhang 057; Markus J. Ankenbrand; Haochuan Jiang; Xiaoran Zhang; et al. (Medical Image Anal., 2023)

Recognition and reconstruction of cell differentiation patterns with deep learning. - Robin Dirk; Jonas L. Fischer; Simon Schardt; Markus J. Ankenbrand; Sabine C. Fischer (PLoS Comput. Biol., 2023)