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László Ruskó
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2020 – today
- 2022
- [j10]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 485: 36-46 (2022) - 2021
- [c5]László Ruskó, Marta E. Capala, Vanda Czipczer, Bernadett Kolozsvári, Borbála Deák-Karancsi, Renáta Czabány, Bence Gyalai, Tao Tan, Zoltán Végváry, Emoke Borzasi, Zsófia Együd, Renáta Kószó, Viktor Paczona, Emese Fodor, Chad Bobb, Cristina Cozzini, Sandeep Kaushik, Barbara Darázs, Gerda M. Verduijn, Rachel Pearson, Ross Maxwell, Hazel Mccallum, Juan Antonio Hernández Tamames
, Katalin Hideghéty, Steven F. Petit, Florian Wiesinger:
Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning. BIOIMAGING 2021: 31-43 - [c4]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) 2021: 325-334 - 2020
- [i1]Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash:
Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR abs/2011.05186 (2020)
2010 – 2019
- 2018
- [j9]Márton József Tóth, László Ruskó, Balázs Csébfalvi:
Automatic Recognition of Anatomical Regions in Computed Tomography Images. Period. Polytech. Electr. Eng. Comput. Sci. 62(4): 117-125 (2018) - 2016
- [j8]Márton József Tóth, László Ruskó, Balázs Csébfalvi:
Automatic recognition of anatomical regions in three-dimensional medical images. Comput. Biol. Medicine 76: 120-133 (2016) - [c3]Szabolcs Urbán, László Ruskó, Antal Nagy
A Self-learning Tumor Segmentation Method on DCE-MRI Images. ICIAR 2016: 591-598 - 2014
- [b1]László Ruskó:
Automated segmentation methods for liver analysis in oncology applications. University of Szeged, Hungary, 2014 - [j7]László Ruskó, Ádám Perényi:
Automated liver lesion detection in CT images based on multi-level geometric features. Int. J. Comput. Assist. Radiol. Surg. 9(4): 577-593 (2014) - [c2]Márton József Tóth, Tamas Blaskovics, László Ruskó, Gaspar Delso, Balázs Csébfalvi:
Automated Detection of Anatomical Regions in Magnetic Resonance Images. VMV 2014: 79-86 - 2013
- [j6]László Ruskó, Ilona Mátéka, András Kriston:
Virtual volume resection using multi-resolution triangular representation of B-spline surfaces. Comput. Methods Programs Biomed. 111(2): 315-329 (2013) - 2011
- [j5]László Ruskó, György Bekes:
Liver segmentation for contrast-enhanced MR images using partitioned probabilistic model. Int. J. Comput. Assist. Radiol. Surg. 6(1): 13-20 (2011) - [c1]András Kriston, Paulo R. S. Mendonça
Liver fat quantification using fast kVp-switching dual energy CT. Medical Imaging: Image Processing 2011: 79623W
2000 – 2009
- 2009
- [j4]László Ruskó, György Bekes, Márta Fidrich
Automatic segmentation of the liver from multi- and single-phase contrast-enhanced CT images. Medical Image Anal. 13(6): 871-882 (2009) - [j3]Tobias Heimann, Bram van Ginneken
Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging 28(8): 1251-1265 (2009) - 2005
- [j2]László Ruskó, Attila Kuba:
Multi-resolution method for binary tomography. Electron. Notes Discret. Math. 20: 299-311 (2005) - [j1]Attila Kuba, László Ruskó, Zoltán Kiss, Antal Nagy
Discrete Reconstruction Techniques. Electron. Notes Discret. Math. 20: 385-398 (2005)
Coauthor Index
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