Zsigmond Tamás Kincses - researchr alias

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Viewing Publication 1 - 3 from 3

2022

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri. cbm, 146:105571, 2022. [doi]

2019

Probabilistic TFCE: A generalized combination of cluster size and voxel intensity to increase statistical powerTamás Spisák, Zsófia Spisák, Matthias Zunhammer, Ulrike Bingel, Stephen Smith, Thomas Nichols, Zsigmond Tamás Kincses. neuroimage, 185:12-26, 2019. [doi]

2008

Model-free characterization of brain functional networks for motor sequence learning using fMRIZsigmond Tamás Kincses, Heidi Johansen-Berg, Valentina Tomassini, Rose Bosnell, Paul M. Matthews, Christian F. Beckmann. neuroimage, 39(4):1950-1958, 2008. [doi]

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