Jakub Gazda

According to our database, Jakub Gazda authored at least 9 papers between 2021 and 2026.

Collaborative distances:

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

2026

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge.

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora-García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotár, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlák, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony J. Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour-Ghazi, Akshay Pai, Espen Jimenez-Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

CoRR, April, 2026

Large-Scale Modality-Invariant Foundation Models for Brain Mri Analysis: Application to Lesion Segmentation.

Petros Koutsouvelis, Matej Gazda, Leroy Volmer, Sina Amirrajab, Kamil Barbierik, Branislav Setlák, Jakub Gazda, Peter Drotár

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Prospective evaluation of speech as a digital biomarker for covert hepatic encephalopathy.

Jakub Gazda, Juan Carlos García-Pagan, Sylvia Drazilova, Peter Drotár, Máté Hires, Matej Gazda, Martin Janicko, Anna Baiges, Peter Jarcuska

npj Digit. Medicine, 2025

echoGAN: Extending the field of view in Transthoracic Echocardiography through conditional GAN-based outpainting.

Matej Gazda, Jakub Gazda, Samuel Kadoury, Róbert Kanász, Peter Drotár

Comput. Methods Programs Biomed., 2025

Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features.

Katarína Demcáková, Peter Drotár, Máté Hires, Jakub Gazda, Peter Jarcuska

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024

Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits.

Matej Gazda, Samuel Kadoury, Jakub Gazda, Peter Drotár

CoRR, 2024

2022

Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment.

David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár

Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

2021

Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification.

Matej Gazda, Ján Plávka, Jakub Gazda, Peter Drotár

IEEE Access, 2021

Mixup Augmentation for Kidney and Kidney Tumor Segmentation.

Matej Gazda, Peter Bugata, Jakub Gazda, David Hubacek, David Jozef Hresko, Peter Drotár

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021