Botond Fazekas

According to our database, Botond Fazekas authored at least 7 papers between 2017 and 2024.

Collaborative distances:

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

2024

Interactive Deep Learning-Based Retinal OCT Layer Segmentation Refinement by Regressing Translation Maps.

Guilherme Aresta, Teresa Araújo, Botond Fazekas, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

IEEE Access, 2024

2023

Segmentation of Bruch's Membrane in Retinal OCT With AMD Using Anatomical Priors and Uncertainty Quantification.

Botond Fazekas, Dmitry A. Lachinov, Guilherme Aresta, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

IEEE J. Biomed. Health Informatics, 2023

SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT.

Botond Fazekas, José Morano, Dmitrii A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic

CoRR, 2023

Adapting Segment Anything Model (SAM) for Retinal OCT.

Botond Fazekas, José Morano, Dmitry A. Lachinov, Guilherme Aresta, Hrvoje Bogunovic

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

2022

SD-LayerNet: Semi-supervised Retinal Layer Segmentation in OCT Using Disentangled Representation with Anatomical Priors.

Botond Fazekas, Guilherme Aresta, Dmitry A. Lachinov, Sophie Riedl, Julia Mai, Ursula Schmidt-Erfurth, Hrvoje Bogunovic

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2018

A Multi-modal Deep Neural Network approach to Bird-song identification.

Botond Fazekas, Alexander Schindler, Thomas Lidy, Andreas Rauber

CoRR, 2018

2017

A Multi-modal Deep Neural Network approach to Bird-song Identication.

Botond Fazekas, Alexander Schindler, Thomas Lidy

Proceedings of the Working Notes of CLEF 2017, 2017