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Viktor Gál
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2020 – today
- 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)
2010 – 2019
- 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) - [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 - 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) - 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 - 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)
2000 – 2009
- 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)
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last updated on 2024-08-05 20:25 CEST by the dblp team
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