Sabine Taschner-Mandl

According to our database, Sabine Taschner-Mandl authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration Detection.

Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl, Roxane Licandro

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

GENUINE: Genomic and Nucleus Information Embedding for Single Cell Genetic Alteration Classification in Microscopic Images.

Simon Gutwein, Martin Kampel, Sabine Taschner-Mandl, Roxane Licandro

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2021

Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation.

Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge M. Ambros, Wolfgang Dörr, Klaus Beiske, Peter F. Ambros, Allan Hanbury, Sabine Taschner-Mandl

IEEE Trans. Medical Imaging, 2021

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, 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

Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation.

Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury

CoRR, 2019

A Visual Analytics Approach for Patient Stratification and Biomarker Discovery.

Shiva Alemzadeh, Florian Kromp, Bernhard Preim, Sabine Taschner-Mandl, Katja Bühler

Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2019

2018

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, 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

2016

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

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2014

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

Proceedings of the Seventh International Conference on Machine Vision, 2014