Tivadar Danka

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Lassi Paavolainen, Ferenc Kovács, Anne E Carpenter, 2020, Cell systems.

Active Surfaces for Selective Object Segmentation in 3D

Péter Horváth, Zoltán Farkas, Tivadar Danka, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

A deep learning framework for nucleus segmentation using image style transfer

Lassi Paavolainen, Ferenc Kovács, Kevin Smith, 2019, bioRxiv.

A Deep Learning-Based Approach for High-Throughput Hypocotyl Phenotyping1

Peter Horvath, Tivadar Danka, Orsolya Dobos, 2019, Plant Physiology.

modAL: A modular active learning framework for Python pdf

Péter Horváth, Tivadar Danka, P. Horváth, 2018, ArXiv.

A Deep Learning-Based Approach for High-Throughput Hypocotyl Phenotyping1

Peter Horvath, Tivadar Danka, Orsolya Dobos, 2019, Plant Physiology.

Phenotypic Image Analysis Software Tools for Exploring and Understanding Big Image Data from Cell-Based Assays.

Hossein Azizpour, Peter Horvath, Filippo Piccinini, 2018, Cell systems.