Impact of integrating clinical and genetic information. - Martin Dugas; Claudia Schoch; Susanne Schnittger; Wolfgang Kern; Torsten Haferlach; Dorle Messerer; Karl Überla (German Conference on Bioinformatics, 2001)

Integration of clinical and genetic information - from patient data to gene expression analysis. - Martin Dugas; Claudia Schoch; Susanne Schnittger; Alexander Kohlmann; Wolfgang Kern; Torsten Haferlach; Karl Überla (Silico Biol., 2002)

Bioinformatics for Medical Diagnostics: Assessment of Microarray Data in the Context of Clinical Databases. - Martin Dugas; Sylvia Merk; S. Breit; Claudia Schoch; Torsten Haferlach; Stefan Kääb (AMIA, 2003)

Quantitative comparison of microarray experiments with published leukemia related gene expression signatures. - Hans-Ulrich Klein; Christian Ruckert; Alexander Kohlmann; Lars Bullinger; Christian Thiede; Torsten Haferlach; Martin Dugas (BMC Bioinform., 2009)

R453Plus1Toolbox: an R/Bioconductor package for analyzing Roche 454 Sequencing data. - Hans-Ulrich Klein; Christoph Bartenhagen; Alexander Kohlmann; Vera Grossmann; Christian Ruckert; Torsten Haferlach; Martin Dugas (Bioinform., 2011)

Lokalisierung von Knochenmarkzellen für die automatisierte morphologische Analyse von Knochenmarkpräparaten. - Sebastian Krappe; Katja Macijewski; Elisabeth Eismann; Tobias Ziegler 003; Thomas Wittenberg; Torsten Haferlach; Christian Münzenmayer (Bildverarbeitung für die Medizin, 2014)

Dynamic Programming for the Segmentation of Bone Marrow Cells. - Sebastian Krappe; Christian Münzenmayer; Amrei Evert; Can Fahrettin Koyuncu; A. Enis Çetin; Torsten Haferlach; Thomas Wittenberg; Christian Held (Bildverarbeitung für die Medizin, 2015)

Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia: a comparison of two classification schemes with respect to the segmentation quality. - Sebastian Krappe; Michaela Benz; Thomas Wittenberg; Torsten Haferlach; Christian Münzenmayer (Computer-Aided Diagnosis, 2015)

Automatic Detection of Relevant Regions for the Morphological Analysis of Bone Marrow Slides. - Sebastian Krappe; Richard Leisering; Torsten Haferlach; Thomas Wittenberg; Christian Münzenmayer (Bildverarbeitung für die Medizin, 2016)

Automated morphological analysis of bone marrow cells in microscopic images for diagnosis of leukemia: nucleus-plasma separation and cell classification using a hierarchical tree model of hematopoesis. - Sebastian Krappe; Thomas Wittenberg; Torsten Haferlach; Christian Münzenmayer (Computer-Aided Diagnosis, 2016)

Dark-matter matters: Discriminating subtle blood cancers using the darkest DNA. - Laxmi Parida; Claudia Haferlach; Kahn Rhrissorrakrai; Filippo Utro; Chaya Levovitz; Wolfgang Kern; Niroshan Nadarajah; Sven Twardziok; Stephan Hutter; Manja Meggendorfer; Wencke Walter; Constance Baer; et al. (PLoS Comput. Biol., 2019)

Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms. - Nanditha Mallesh; Max Xiaohang Zhao; Lisa Meintker; Alexander Höllein; Franz Elsner; Hannes Lüling; Torsten Haferlach; Wolfgang Kern; Jörg Westermann; Peter Brossart; Stefan W. Krause; Peter M. Krawitz (Patterns, 2021)

Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells. - Christian Matek; Sebastian Krappe; Christian Münzenmayer; Torsten Haferlach; Carsten Marr (Bildverarbeitung für die Medizin, 2022)

VAE-Surv: A novel approach for genetic-based clustering and prognosis prediction in myelodysplastic syndromes. - Cesare Rollo; Corrado Pancotti; Flavio Sartori; Isabella Caranzano; Saverio D'Amico; Luciana Carota; Francesco Casadei; Giovanni Birolo; Luca Lanino; Elisabetta Sauta; Gianluca Asti; Alessandro Buizza; et al. (Comput. Methods Programs Biomed., 2025)