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2020 – today
- 2026
[j24]Jayakanth Kunhoth
, Moutaz Saleh, Somaya Al-Máadeed, Peter Drotár, Younes Akbari:
Grading of Developmental Dysgraphia Severity in Children: Multimodal Dataset and Classifier Fusion. IEEE Trans. Cogn. Dev. Syst. 18(2): 346-360 (2026)- [c19]Petros Koutsouvelis, Matej Gazda, Leroy Volmer, Sina Amirrajab, Kamil Barbierik, Branislav Setlák, Jakub Gazda, Peter Drotár:
Large-Scale Modality-Invariant Foundation Models for Brain Mri Analysis: Application to Lesion Segmentation. ISBI 2026: 1-4 - [i9]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:
Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge. CoRR abs/2604.11679 (2026) - 2025
- [j23]Peter Gnip, Róbert Kanász, Martin Zoricak, Peter Drotár:
An experimental survey of imbalanced learning algorithms for bankruptcy prediction. Artif. Intell. Rev. 58(4): 104 (2025) - [j22]Matej Gazda, Jakub Gazda, Samuel Kadoury, Róbert Kanász, Peter Drotár:
echoGAN: Extending the field of view in Transthoracic Echocardiography through conditional GAN-based outpainting. Comput. Methods Programs Biomed. 269: 108869 (2025) - [j21]David Jozef Hresko, Peter Drotár, Quoc Cuong Ngo, Dinesh Kant Kumar:
Enhanced Domain Adaptation for Foot Ulcer Segmentation Through Mixing Self-Trained Weak Labels. J. Imaging Inform. Medicine 38(1): 455-466 (2025) - [j20]Jakub Gazda, Juan Carlos García-Pagan, Sylvia Drazilova, Peter Drotár, Máté Hires, Matej Gazda, Martin Janicko, Anna Baiges, Peter Jarcuska:
Prospective evaluation of speech as a digital biomarker for covert hepatic encephalopathy. npj Digit. Medicine 8(1) (2025) - [c18]Katarína Demcáková, Peter Drotár, Máté Hires, Jakub Gazda, Peter Jarcuska:
Handwriting-Based Classification of Hepatic Encephalopathy Using Nonlinear Complexity Features. CBMS 2025: 226-233 - [c17]Máté Hires, Peter Drotár:
Augmented Speech Generalization in Parkinson's Disease Detection. CBMS 2025: 411-414 - [c16]Peter Gnip, Peter Drotár, Róbert Kanász, Martin Zoricak:
A Deep Ensemble Learning Approach for Imbalanced Data in Bankruptcy Prediction. CIFEr 2025: 1-7 - [c15]Branislav Setlák, Peter Drotár, Matej Gazda:
Utilization of Diffusion Models for Noise Reduction in Ultrasound Images. IPTA 2025: 1-6 - [i8]Petros Koutsouvelis, Matej Gazda, Leroy Volmer, Sina Amirrajab, Kamil Barbierik, Branislav Setlák, Jakub Gazda, Peter Drotár:
Large-scale modality-invariant foundation models for brain MRI analysis: Application to lesion segmentation. CoRR abs/2511.11311 (2025) - 2024
- [c14]Róbert Kanász, Peter Drotár, Peter Gnip, Martin Zoricak:
Clash of titans on imbalanced data: TabNet vs XGBoost. CAI 2024: 320-325 - [i7]Matej Gazda, Samuel Kadoury, Jakub Gazda, Peter Drotár:
Generative Adversarial Networks in Ultrasound Imaging: Extending Field of View Beyond Conventional Limits. CoRR abs/2405.20981 (2024) - [i6]Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy:
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. CoRR abs/2411.03044 (2024) - 2023
- [j19]Máté Hires, Peter Drotár, Nemuel Daniel Pah, Quoc Cuong Ngo, Dinesh Kant Kumar:
On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice. Int. J. Medical Informatics 179: 105237 (2023) - [j18]Róbert Kanász, Peter Gnip, Martin Zoricak, Peter Drotár:
Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm. PeerJ Comput. Sci. 9: e1257 (2023) - [j17]Peter Bugata, Peter Drotár:
Feature Selection Based on a Sparse Neural-Network Layer With Normalizing Constraints. IEEE Trans. Cybern. 53(1): 161-172 (2023) - [c13]David Jozef Hresko, Quoc Cuong Ngo, Rajna Ogrin, Peter Drotár, Elif Ekinci, Aye N. Tint, Dinesh K. Kumar:
Application of StyleGAN Architecture for Generating Venous Leg Ulcer Images. EMBC 2023: 1-4 - [c12]Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury:
End-To-End Deformable Attention Graph Neural Network for Single-View Liver Mesh Reconstruction. ISBI 2023: 1-5 - [i5]Matej Gazda, Peter Drotár, Liset Vázquez Romaguera, Samuel Kadoury:
End-to-end Deformable Attention Graph Neural Network for Single-view Liver Mesh Reconstruction. CoRR abs/2303.07432 (2023) - 2022
- [j16]Máté Hires, Matej Gazda, Peter Drotár, Nemuel Daniel Pah, Mohammod Abdul Motin, Dinesh Kant Kumar:
Convolutional neural network ensemble for Parkinson's disease detection from voice recordings. Comput. Biol. Medicine 141: 105021 (2022) - [j15]Quoc Cuong Ngo, Mohammod Abdul Motin, Nemuel Daniel Pah, Peter Drotár, Peter Kempster, Dinesh K. Kumar:
Computerized analysis of speech and voice for Parkinson's disease: A systematic review. Comput. Methods Programs Biomed. 226: 107133 (2022) - [j14]Zoltan Galaz, Peter Drotár, Jirí Mekyska, Matej Gazda, Jan Mucha, Vojtech Zvoncak, Zdenek Smékal, Marcos Faúndez-Zanuy, Reinel Castrillon, Juan Rafael Orozco-Arroyave, Steven Z. Rapcsak, Tamas Kincses, Lubos Brabenec, Irena Rektorová:
Comparison of CNN-Learned vs. Handcrafted Features for Detection of Parkinson's Disease Dysgraphia in a Multilingual Dataset. Frontiers Neuroinformatics 16: 877139 (2022) - [j13]Matej Gazda, Máté Hires, Peter Drotár:
Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson's Disease Diagnosis From Offline Handwriting. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 78-89 (2022) - [c11]David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár:
Ensembled Autoencoder Regularization for Multi-structure Segmentation for Kidney Cancer Treatment. CuRIOUS/KiPA/MELA@MICCAI 2022: 43-51 - [c10]David Jozef Hresko, Jakub Vereb, Valentin Krigovsky, Michala Gayova, Peter Drotár:
Refined Mixup Augmentation for Diabetic Foot Ulcer Segmentation. DFUC@MICCAI 2022: 92-100 - [i4]Peter Drotár, Jirí Mekyska, Zdenek Smékal, Irena Rektorová, Lucia Masarová, Marcos Faúndez-Zanuy:
Contribution of Different Handwriting Modalities to Differential Diagnosis of Parkinson's Disease. CoRR abs/2203.11269 (2022) - [i3]David Jozef Hresko, Marek Kurej, Jakub Gazda, Peter Drotár:
Ensembled Autoencoder Regularization for Multi-Structure Segmentation for Kidney Cancer Treatment. CoRR abs/2208.04007 (2022) - 2021
- [j12]Matej Gazda, Ján Plávka, Jakub Gazda, Peter Drotár:
Self-Supervised Deep Convolutional Neural Network for Chest X-Ray Classification. IEEE Access 9: 151972-151982 (2021) - [j11]Peter Gnip, Liberios Vokorokos, Peter Drotár:
Selective oversampling approach for strongly imbalanced data. PeerJ Comput. Sci. 7: e604 (2021) - [c9]Matej Gazda, Peter Bugata, Jakub Gazda, David Hubacek, David Jozef Hresko, Peter Drotár:
Mixup Augmentation for Kidney and Kidney Tumor Segmentation. KiTS@MICCAI 2021: 90-97 - [i2]Matej Gazda, Jakub Gazda, Ján Plávka, Peter Drotár:
Self-supervised deep convolutional neural network for chest X-ray classification. CoRR abs/2103.03055 (2021) - 2020
- [j10]Peter Bugata, Peter Drotár:
On some aspects of minimum redundancy maximum relevance feature selection. Sci. China Inf. Sci. 63(1): 112103 (2020) - [i1]Peter Bugata, Peter Drotár:
Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints. CoRR abs/2012.06365 (2020)
2010 – 2019
- 2019
- [j9]Peter Drotár, Matej Gazda, Liberios Vokorokos:
Ensemble feature selection using election methods and ranker clustering. Inf. Sci. 480: 365-380 (2019) - [j8]Peter Bugata, Peter Drotár:
Weighted nearest neighbors feature selection. Knowl. Based Syst. 163: 749-761 (2019) - [c8]Peter Bugata, Peter Gnip, Peter Drotár:
Stability analysis of WkNN feature selection. SACI 2019: 281-286 - [c7]Peter Gnip, Peter Drotár:
Ensemble methods for strongly imbalanced data: bankruptcy prediction. SISY 2019: 155-160 - [c6]Peter Bugata, Peter Drotár:
Weighted k-nearest neighbors feature selection for high-dimensional multi-class data. SMC 2019: 3066-3073 - 2018
- [c5]Peter Drotár, Peter Gnip, Martin Zoricak, Vladimír Gazda:
Single-Class Bankruptcy Prediction Based on the Data from Annual Reports. IDEAL (1) 2018: 344-353 - 2017
- [j7]Peter Drotár, Slavomír Simonák, Emília Pietriková, Martin Chovanec, Eva Chovancová, Norbert Ádám, Csaba Szabó, Anton Baláz, Miroslav Binas:
Comparison of Filter Techniques for Two-Step Feature Selection. Comput. Informatics 36(3): 597-617 (2017) - [j6]Juraj Gazda, Gabriel Bugár, Marcel Volosin, Peter Drotár, Denis Horváth, Vladimír Gazda:
Dynamic spectrum leasing and retail pricing using an experimental economy. Comput. Networks 121: 173-184 (2017) - [j5]Juraj Gazda, Viliam Kovác, Peter Tóth, Peter Drotár, Vladimír Gazda:
Tax optimization in an agent-based model of real-time spectrum secondary market. Telecommun. Syst. 64(3): 543-558 (2017) - 2016
- [j4]Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy:
Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease. Artif. Intell. Medicine 67: 39-46 (2016) - [c4]Marcel Volosin, Juraj Gazda, Peter Drotár, Gabriel Bugár, Vladimír Gazda:
Spatial Real-Time Price Competition in the Dynamic Spectrum Access Markets. EUMAS/AT 2016: 217-229 - 2015
- [j3]Peter Drotár, Juraj Gazda, Zdenek Smékal:
An experimental comparison of feature selection methods on two-class biomedical datasets. Comput. Biol. Medicine 66: 1-10 (2015) - [c3]Peter Drotár, Jirí Mekyska, Zdenek Smékal, Irena Rektorová, Lucia Masarová, Marcos Faúndez-Zanuy:
Contribution of different handwriting modalities to differential diagnosis of Parkinson's Disease. MeMeA 2015: 344-348 - 2014
- [j2]Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy:
Analysis of in-air movement in handwriting: A novel marker for Parkinson's disease. Comput. Methods Programs Biomed. 117(3): 405-411 (2014) - [c2]Naveen Kumar, Maarten Van Segbroeck, Kartik Audhkhasi, Peter Drotár, Shrikanth S. Narayanan:
Fusion of diverse denoising systems for robust automatic speech recognition. ICASSP 2014: 5557-5561 - 2013
- [c1]Peter Drotár, Jirí Mekyska, Irena Rektorová, Lucia Masarová, Zdenek Smékal, Marcos Faúndez-Zanuy:
A new modality for quantitative evaluation of Parkinson's disease: In-air movement. BIBE 2013: 1-4 - 2010
- [j1]Peter Drotár, Juraj Gazda, Pavol Galajda, Dusan Kocur, Pavol Pavelka:
Receiver technique for iterative estimation and cancellation of nonlinear distortion in MIMO SFBC-OFDM systems. IEEE Trans. Consumer Electron. 56(2): 471-475 (2010)
Coauthor Index
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last updated on 2026-06-27 06:03 CEST by the dblp team
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