@CONFERENCE{MTMT:34847655,
	title = {Visual Demonstration of the Hubble Law},
	url = {https://m2.mtmt.hu/api/publication/34847655},
	author = {Fridvalszky, András Máté and Szirmay-Kalos, László},
	booktitle = {XI. Magyar Számítógépes Grafika és Geometria Konferencia},
	unique-id = {34847655},
	year = {2024},
	pages = {82-87},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280; Szirmay-Kalos, László/0000-0002-8523-2315}
}

@inproceedings{MTMT:34847492,
	title = {Visualization of the Expanding Universe},
	url = {https://m2.mtmt.hu/api/publication/34847492},
	author = {Fridvalszky, András Máté and Szirmay-Kalos, László},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology 2024},
	unique-id = {34847492},
	year = {2024},
	pages = {27-32},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280; Szirmay-Kalos, László/0000-0002-8523-2315}
}

@book{MTMT:34562492,
	title = {Proceedings of the Workshop on the Advances of Information Technology 2024},
	url = {https://m2.mtmt.hu/api/publication/34562492},
	isbn = {9789634219422},
	author = {Kiss, Bálint and Szirmay-Kalos, László},
	publisher = {Budapesti Műszaki és Gazdaságtudományi Egyetem, Irányítástechnika és Informatika Tanszék},
	unique-id = {34562492},
	year = {2024},
	orcid-numbers = {Szirmay-Kalos, László/0000-0002-8523-2315}
}

@CONFERENCE{MTMT:34847711,
	title = {Interactive Manipulation of Segmented 3D volumes in 3D Visualization},
	url = {https://m2.mtmt.hu/api/publication/34847711},
	author = {Szirmay-Kalos, László and Fridvalszky, András Máté and Varnyú, Dóra and Szécsi, László},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34847711},
	year = {2023},
	orcid-numbers = {Szirmay-Kalos, László/0000-0002-8523-2315; Fridvalszky, András Máté/0000-0002-5570-1280; Varnyú, Dóra/0000-0002-9220-5868}
}

@inproceedings{MTMT:34847479,
	title = {Specular Ambient Lighting Model},
	url = {https://m2.mtmt.hu/api/publication/34847479},
	author = {Fridvalszky, András Máté and Szirmay-Kalos, László},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology 2023},
	unique-id = {34847479},
	year = {2023},
	pages = {29-34},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280; Szirmay-Kalos, László/0000-0002-8523-2315}
}

@inproceedings{MTMT:34847470,
	title = {Inverse Kinematic Simulation of Surgical Interventions},
	url = {https://m2.mtmt.hu/api/publication/34847470},
	author = {Fridvalszky, András Máté and Szécsi, László and Szirmay-Kalos, László},
	booktitle = {Proceedings of the Workshop on the Advances of Information Technology 2023},
	unique-id = {34847470},
	year = {2023},
	pages = {102-108},
	orcid-numbers = {Fridvalszky, András Máté/0000-0002-5570-1280; Szirmay-Kalos, László/0000-0002-8523-2315}
}

@article{MTMT:33734694,
	title = {A linear heuristic for multiple importance sampling},
	url = {https://m2.mtmt.hu/api/publication/33734694},
	author = {Sbert, Mateu and Szirmay-Kalos, László},
	doi = {10.1186/s13634-023-00990-8},
	journal-iso = {EURASIP J ADV SIG PR},
	journal = {EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING},
	volume = {2023},
	unique-id = {33734694},
	issn = {1687-6172},
	year = {2023},
	eissn = {1687-6180},
	orcid-numbers = {Szirmay-Kalos, László/0000-0002-8523-2315}
}

@book{MTMT:33624046,
	title = {Proceedings of the Workshop on the Advances of Information Technology 2023},
	url = {https://m2.mtmt.hu/api/publication/33624046},
	isbn = {9789634218968},
	author = {Kiss, Bálint and Szirmay-Kalos, László},
	publisher = {Budapesti Műszaki és Gazdaságtudományi Egyetem, Irányítástechnika és Informatika Tanszék},
	unique-id = {33624046},
	year = {2023},
	orcid-numbers = {Szirmay-Kalos, László/0000-0002-8523-2315}
}

@article{MTMT:33212860,
	title = {Direct dynamic tomographic reconstruction without explicit blood input function},
	url = {https://m2.mtmt.hu/api/publication/33212860},
	author = {Szirmay-Kalos, László and Magdics, Milán and Varnyú, Dóra},
	doi = {10.1016/j.bspc.2022.104313},
	journal-iso = {BIOMED SIGNAL PROCES},
	journal = {BIOMEDICAL SIGNAL PROCESSING AND CONTROL},
	volume = {80},
	unique-id = {33212860},
	issn = {1746-8094},
	abstract = {With dynamic positron emission tomography (PET), we study the metabolic processes by monitoring the uptake of a radioactive tracer. The goal is to reconstruct the time-activity curves (TACs) of the voxels, from which the relevant kinetic parameters can be obtained. These curves are assumed to have the algebraic form of a pre-determined kinetic model. Plausible algebraic forms have a limited number of free parameters and thus can be used even for low-statistic measurements. The kinetic model typically involves the amount of radiotracer in the blood, which should be determined either by direct measurement or by extracting it from the PET data using image-derived or model-based methods. However, the direct measurement of the blood concentration is complicated, and the results of the image-derived and the model-based methods are also not reliable because of the partial volume effect and the unknown fraction of blood in the voxels. Moreover, in direct dynamic tomography, the kinetic model is fit from the very beginning of the reconstruction, thus the blood input function is needed even before the image-derived or model-based approaches can provide it. In this paper, we propose a method that is based on compartmental modeling and the Feng blood input function model defined by a fourth-order exponential equation with a pair of repeated eigenvalues, but does not require the blood input function and the fraction of blood parameters explicitly. Thus, the model can be used in cases when we wish to have the robustness and advantages of compartmental modeling, but no blood input function measurement is available. The test results show that the added error in the TACs of not knowing the blood input is reduced in comparison with the spline-based TAC representation. The method can be applied in reference tissue analysis and in image-derived input function approaches.},
	year = {2023},
	eissn = {1746-8108},
	orcid-numbers = {Szirmay-Kalos, László/0000-0002-8523-2315; Magdics, Milán/0000-0003-4298-1022; Varnyú, Dóra/0000-0002-9220-5868}
}

@{MTMT:33550845,
	title = {Deep learning based regularization of PET reconstruction},
	url = {https://m2.mtmt.hu/api/publication/33550845},
	author = {Varnyú, Dóra and Szirmay-Kalos, László},
	booktitle = {X. Magyar Számítógépes Grafika és Geometria Konferencia},
	unique-id = {33550845},
	year = {2022},
	pages = {112-121},
	orcid-numbers = {Varnyú, Dóra/0000-0002-9220-5868; Szirmay-Kalos, László/0000-0002-8523-2315}
}