Inge Ambros

According to our database, Inge Ambros authored at least 5 papers between 2016 and 2021.

Collaborative distances:

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

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

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