Semi-automated segmentation of neuroblastoma nuclei using the gradient energy tensor: a user driven approach. - Florian Kromp; Sabine Taschner-Mandl; Magdalena Schwarz; Johanna Blaha; Tamara Weiss; Peter F. Ambros; Michael Reiter (ICMV, 2014)

Machine learning framework incorporating expert knowledge in tissue image annotation. - Florian Kromp; Inge Ambros; Tamara Weiss; Dominik Bogen; Helena Dodig; Maria Berneder; Teresa Gerber; Sabine Taschner-Mandl; Peter Ambros; Allan Hanbury (ICPR, 2016)

Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. - Hamid Eghbal-zadeh; Lukas Fischer 001; Niko Popitsch; Florian Kromp; Sabine Taschner-Mandl; Khaled Koutini; Teresa Gerber; Eva Bozsaky; Peter F. Ambros; Inge M. Ambros; Gerhard Widmer; Bernhard Alois Moser (CoRR, 2018)

A Visual Analytics Approach for Patient Stratification and Biomarker Discovery. - Shiva Alemzadeh; Florian Kromp; Bernhard Preim; Sabine Taschner-Mandl; Katja Bühler (VCBM, 2019)

Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation. - Florian Kromp; Lukas Fischer 001; Eva Bozsaky; Inge Ambros; Wolfgang Doerr; Sabine Taschner-Mandl; Peter Ambros; Allan Hanbury (CoRR, 2019)

DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data. - Hamid Eghbal-Zadeh; Lukas Fischer 001; Niko Popitsch; Florian Kromp; Sabine Taschner-Mandl; Teresa Gerber; Eva Bozsaky; Peter F. Ambros; Inge M. Ambros; Gerhard Widmer; Bernhard Alois Moser (J. Comput. Biol., 2019)

Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation. - Florian Kromp; Lukas Fischer 001; Eva Bozsaky; Inge M. Ambros; Wolfgang Dörr; Klaus Beiske; Peter F. Ambros; Allan Hanbury; Sabine Taschner-Mandl (IEEE Trans. Medical Imaging, 2021)

GENUINE: Genomic and Nucleus Information Embedding for Single Cell Genetic Alteration Classification in Microscopic Images. - Simon Gutwein; Martin Kampel; Sabine Taschner-Mandl; Roxane Licandro (ICPRAM, 2024)

FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection. - Simon Gutwein; Martin Kampel; Sabine Taschner-Mandl; Roxane Licandro (UNSURE@MICCAI, 2024)

Interpretable Embeddings for Segmentation-Free Single-Cell Analysis in Multiplex Imaging. - Simon Gutwein; Daria Lazic; Thomas Walter 003; Sabine Taschner-Mandl; Roxane Licandro (CoRR, 2024)