A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images. - Harshita Sharma; Norman Zerbe; Daniel Heim; Stephan Wienert; Hans-Michael Behrens; Olaf Hellwich; Peter Hufnagl (VISAPP (3), 2015)

Cell nuclei attributed relational graphs for efficient representation and classification of gastric cancer in digital histopathology. - Harshita Sharma; Norman Zerbe; Daniel Heim; Stephan Wienert; Sebastian Lohmann; Olaf Hellwich; Peter Hufnagl (Digital Pathology, 2016)

Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles. - Alexander Binder; Michael Bockmayr; Miriam Hägele; Stephan Wienert; Daniel Heim; Katharina Hellweg; Albrecht Stenzinger; Laura Parlow; Jan Budczies; Benjamin Goeppert; Denise Treue; Manato Kotani; et al. (CoRR, 2018)

Morphological and molecular breast cancer profiling through explainable machine learning. - Alexander Binder; Michael Bockmayr; Miriam Hägele; Stephan Wienert; Daniel Heim; Katharina Hellweg; Masaru Ishii; Albrecht Stenzinger; Andreas Hocke; Carsten Denkert; Klaus-Robert Müller; Frederick Klauschen (Nat. Mach. Intell., 2021)