Florian Kromp

According to our database, Florian Kromp authored at least 11 papers between 2014 and 2026.

Collaborative distances:

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

2026

InVitroVision: a Multi-Modal AI Model for Automated Description of Embryo Development using Natural Language.

Nicklas Neu, Thomas Ebner, Jasmin Primus, Raphael Zefferer, Bernhard Schenkenfelder, Mathias Brunbauer, Florian Kromp

CoRR, April, 2026

Expert-Annotated Embryo Image Dataset with Natural Language Descriptions for Evidence-Based Patient Communication in IVF.

Nicklas Neu, Thomas Ebner, Jasmin Primus, Bernhard Schenkenfelder, Raphael Zefferer, Mathias Brunbauer, Florian Kromp

CoRR, April, 2026

2022

Collaborative Aspects of Solving Rail-Track Multi-sensor Data Fusion.

Florian Kromp, Fabian Hinterberger, Datta Konanur, Volkmar Wieser

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground.

Ozan Cakiroglu, Volkmar Wieser, Werner Zellinger, Adriano Souza Ribeiro, Werner Kloihofer, Florian Kromp

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

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