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Journal Articles
- 2023
[j7]Pál Vakli, Béla Weiss
, János Szalma, Peter Barsi, István Gyuricza, Péter Kemenczky, Eszter Somogyi, Ádám Nárai, Viktor Gál, Petra Hermann, Zoltán Vidnyánszky:
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics. Medical Image Anal. 88: 102850 (2023)- 2016
- [j6]Nicola Bova, Viktor Gál, Óscar Ibáñez, Oscar Cordón:
Deformable models direct supervised guidance: A novel paradigm for automatic image segmentation. Neurocomputing 177: 317-333 (2016) - 2013
- [j5]Attila Andics, Viktor Gál, Klára Vicsi, Gábor Rudas, Zoltán Vidnyánszky:
FMRI repetition suppression for voices is modulated by stimulus expectations. NeuroImage 69: 277-283 (2013) - 2010
- [j4]Attila Andics, James M. McQueen, Karl Magnus Petersson, Viktor Gál, Gábor Rudas, Zoltán Vidnyánszky:
Neural mechanisms for voice recognition. NeuroImage 52(4): 1528-1540 (2010) - 2009
- [j3]Illés Solt, Domonkos Tikk, Viktor Gál, Zsolt Tivadar Kardkovács:
Research Paper: Semantic Classification of Diseases in Discharge Summaries Using a Context-aware Rule-based Classifier. J. Am. Medical Informatics Assoc. 16(4): 580-584 (2009) - 2004
- [j2]Viktor Gál, József Hámori, Tamás Roska, Dávid Bálya, Zsolt Borostyánköi, Mátyás Brendel, Károly Lotz, Laszlo Négyessy, László Orzó, István Petrás, Csaba Rekeczky, József Takács, Péter L. Venetianer, Zoltán Vidnyánszky, Ákos Zarándy:
Receptive Field Atlas and Related CNN Models. Int. J. Bifurc. Chaos 14(2): 551-584 (2004) - 2003
- [j1]Viktor Gál, Sonja Grün, Ronald Tetzlaff:
Analysis of Multidimensional Neural Activity Via CNN-UM. Int. J. Neural Syst. 13(6): 479-487 (2003)
Conference and Workshop Papers
- 2016
- [c5]Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza:
A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain. ENIC 2016: 203-208 - [c4]Regina Meszlényi, Ladislav Peska, Viktor Gál, Zoltán Vidnyánszky, Krisztián Búza:
Classification of fMRI data using dynamic time warping based functional connectivity analysis. EUSIPCO 2016: 245-249 - 2012
- [c3]Viktor Gál, Etienne E. Kerre, Mike Nachtegael:
Multiple kernel learning based modality classification for medical images. CVPR Workshops 2012: 76-83 - [c2]Viktor Gál, Illés Solt, Etienne E. Kerre, Mike Nachtegael:
Modality Classification for Medical Images Using Sparse Coded Affine-Invariant Descriptors. PAKDD Workshops 2012: 1-10 - 2011
- [c1]Viktor Gál, Illés Solt, Tom Gedeon, Mike Nachtegael:
Multi-disciplinary Modality Classification for Medical Images. CLEF (Notebook Papers/Labs/Workshop) 2011
Coauthor Index
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