Viktor Gál - researchr alias

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Viewing Publication 1 - 11 from 11

2023

Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metricsPál Vakli, Béla Weiss, János Szalma, Peter Barsi, István Gyuricza, Péter Kemenczky, Eszter Somogyi, Ádám Nárai, Viktor Gál, Petra Hermann, Zoltán Vidnyánszky. mia, 88:102850, August 2023. [doi]

2016

2013

FMRI repetition suppression for voices is modulated by stimulus expectationsAttila Andics, Viktor Gál, Klára Vicsi, Gábor Rudas, Zoltán Vidnyánszky. neuroimage, 69:277-283, 2013. [doi]

2012

Modality Classification for Medical Images Using Sparse Coded Affine-Invariant DescriptorsViktor Gál, Illés Solt, Etienne E. Kerre, Mike Nachtegael. pakdd 2013: 1-10 [doi]

Multiple kernel learning based modality classification for medical imagesViktor Gál, Etienne E. Kerre, Mike Nachtegael. cvpr 2012: 76-83 [doi]

2011

Multi-disciplinary Modality Classification for Medical ImagesViktor Gál, Illés Solt, Tom Gedeon, Mike Nachtegael. clef 2011: [doi]

2010

Neural mechanisms for voice recognitionAttila Andics, James M. McQueen, Karl Magnus Petersson, Viktor Gál, Gábor Rudas, Zoltán Vidnyánszky. neuroimage, 52(4):1528-1540, 2010. [doi]

2009

Research Paper: Semantic Classification of Diseases in Discharge Summaries Using a Context-aware Rule-based ClassifierIllés Solt, Domonkos Tikk, Viktor Gál, Zsolt Tivadar Kardkovács. jamia, 16(4):580-584, 2009. [doi]

2003

Analysis of Multidimensional Neural Activity Via CNN-UMViktor Gál, Sonja Grün, Ronald Tetzlaff. IJNS, 13(6):479-487, 2003. [doi]

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