Florian Kromp

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 8

Top Topics

Image Segmentation

Single Nucleotide Polymorphisms

Top Venues

J. Comput. Biol.

Publications

Ozan Cakiroglu, Volkmar Wieser, Werner Zellinger, Adriano Souza Ribeiro, Werner Kloihofer, Florian Kromp
Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground. DEXA Workshops (2022)
Florian Kromp, Fabian Hinterberger, Datta Konanur, Volkmar Wieser
Collaborative Aspects of Solving Rail-Track Multi-sensor Data Fusion. DEXA Workshops (2022)
Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge M. Ambros, Wolfgang Dörr, Klaus Beiske, Peter F. Ambros, Allan Hanbury, Sabine Taschner-Mandl
Evaluation of Deep Learning Architectures for Complex Immunofluorescence Nuclear Image Segmentation. IEEE Trans. Medical Imaging 40 (7) (2021)
Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation. CoRR (2019)
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
DeepSNP: An End-to-End Deep Neural Network with Attention-Based Localization for Breakpoint Detection in Single-Nucleotide Polymorphism Array Genomic Data. J. Comput. Biol. 26 (6) (2019)
Shiva Alemzadeh, Florian Kromp, Bernhard Preim, Sabine Taschner-Mandl, Katja Bühler
A Visual Analytics Approach for Patient Stratification and Biomarker Discovery. VCBM (2019)
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
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data. CoRR (2018)
Florian Kromp, Inge Ambros, Tamara Weiss, Dominik Bogen, Helena Dodig, Maria Berneder, Teresa Gerber, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury
Machine learning framework incorporating expert knowledge in tissue image annotation. ICPR (2016)
Florian Kromp, Sabine Taschner-Mandl, Magdalena Schwarz, Johanna Blaha, Tamara Weiss, Peter F. Ambros, Michael Reiter
Semi-automated segmentation of neuroblastoma nuclei using the gradient energy tensor: a user driven approach. ICMV (2014)