László Ruskó

20 papers B 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations. CoRR Zhijian Yang, Noel DSouza, István Megyeri, Xiaojian Xu, Amin Honarmandi Shandiz, Farzin Haddadpour, Krisztian Koos, László Ruskó, Emanuele Valeriano, Bharadwaj Swaninathan, Lei Wu, Parminder Bhatia, Taha A. Kass-Hout, Erhan Bas
2025	J	`jnl`	Modality-Independent Explainable Detection of Inaccurate Organ Segmentations Using Denoising Autoencoders. CoRR Levente Lippenszky, István Megyeri, Krisztian Koos, Zsófia Karancsi, Borbála Deák-Karancsi, András Frontó, Makk Árpád, Attila Rádics, Erhan Bas, László Ruskó
2025	—	`conf`	Unsupervised Artifact Detection and Quantification via Contrastive Learning with Noise Reference. UNSURE@MICCAI Levente Lippenszky, Hongxu Yang, José de Arcos, László Ruskó
2022	J	`jnl`	Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. Neurocomputing 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
2021	—	`conf`	Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning. BIOIMAGING 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
2021	—	`conf`	Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19. MICCAI (7) 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
2020	J	`jnl`	Pristine annotations-based multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19. CoRR 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
2018	J	`jnl`	Automatic Recognition of Anatomical Regions in Computed Tomography Images. Period. Polytech. Electr. Eng. Comput. Sci. Márton József Tóth, László Ruskó, Balázs Csébfalvi
2016	—	`conf`	A Self-learning Tumor Segmentation Method on DCE-MRI Images. ICIAR Szabolcs Urbán, László Ruskó, Antal Nagy
2016	J	`jnl`	Automatic recognition of anatomical regions in three-dimensional medical images. Comput. Biol. Medicine Márton József Tóth, László Ruskó, Balázs Csébfalvi
2014	—	`conf`	Automated Detection of Anatomical Regions in Magnetic Resonance Images. VMV Márton József Tóth, Tamas Blaskovics, László Ruskó, Gaspar Delso, Balázs Csébfalvi
2014	J	`jnl`	Automated liver lesion detection in CT images based on multi-level geometric features. Int. J. Comput. Assist. Radiol. Surg. László Ruskó, Ádám Perényi
2014	—	`—`	Automated segmentation methods for liver analysis in oncology applications László Ruskó
2013	J	`jnl`	Virtual volume resection using multi-resolution triangular representation of B-spline surfaces. Comput. Methods Programs Biomed. László Ruskó, Ilona Mátéka, András Kriston
2011	B	`conf`	Liver fat quantification using fast kVp-switching dual energy CT. Image Processing András Kriston, Paulo R. S. Mendonça, Alvin C. Silva, Robert G. Paden, William Pavlicek, Dushyant Sahani, Benedek Janos Kis, László Ruskó, Darin Okerlund, Rahul Bhotika
2011	J	`jnl`	Liver segmentation for contrast-enhanced MR images using partitioned probabilistic model. Int. J. Comput. Assist. Radiol. Surg. László Ruskó, György Bekes
2009	J	`jnl`	Automatic segmentation of the liver from multi- and single-phase contrast-enhanced CT images. Medical Image Anal. László Ruskó, György Bekes, Márta Fidrich
2009	J	`jnl`	Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets. IEEE Trans. Medical Imaging Tobias Heimann, Bram van Ginneken, Martin Styner, Yulia Arzhaeva, Volker Aurich, Christian Bauer, Andreas Beck, Christoph Becker, Reinhard Beichel, György Bekes, Fernando Bello, Gerd Karl Binnig, Horst Bischof, Alexander Bornik, Peter Cashman, Ying Chi, Andrés Cordova, Benoit M. Dawant, Márta Fidrich, Jacob D. Furst, Daisuke Furukawa, Lars Grenacher, Joachim Hornegger, Dagmar Kainmüller, Richard Kitney, Hidefumi Kobatake, Hans Lamecker, Thomas Lange, Jeongjin Lee, Brian Lennon, Rui Li, Senhu Li, Hans-Peter Meinzer, Gábor Németh, Daniela Stan Raicu, Anne-Mareike Rau, Eva M. van Rikxoort, Mikaël Rousson, László Ruskó, Kinda Anna Saddi, Günter Schmidt, Dieter Seghers, Akinobu Shimizu, Pieter Slagmolen, Erich Sorantin, Grzegorz Soza, Ruchaneewan Susomboon, Jonathan M. Waite, Andreas Wimmer, Ivo Wolf
2005	J	`jnl`	Discrete Reconstruction Techniques. Electron. Notes Discret. Math. Attila Kuba, László Ruskó, Zoltán Kiss, Antal Nagy
2005	J	`jnl`	Multi-resolution method for binary tomography. Electron. Notes Discret. Math. László Ruskó, Attila Kuba