@article{MTMT:35493852, title = {Preoperative uterine artery embolisation before hysterectomy in women with giant uterine fibroid and HIV-associated nephropathy}, url = {https://m2.mtmt.hu/api/publication/35493852}, author = {Szkodziak, F. and Woźniak, S. and Światłowski, Ł. and Maleszyk, E. and Szkodziak, P. and Pyra, K. and Bérczi, Viktor and Paszkowski, T. and Jargiełło, T.}, doi = {10.5114/pm.2024.143483}, journal-iso = {PRZ MENOPAUZALNY}, journal = {PRZEGLAD MENOPAUZALNY/ MENOPAUSAL REVIEW}, volume = {23}, unique-id = {35493852}, issn = {1643-8876}, year = {2024}, eissn = {2299-0038}, pages = {159-162}, orcid-numbers = {Bérczi, Viktor/0000-0003-4386-2527} } @article{MTMT:35484827, title = {Automated segment-level coronary artery calcium scoring on non-contrast CT: a multi-task deep-learning approach}, url = {https://m2.mtmt.hu/api/publication/35484827}, author = {Föllmer, B. and Tsogias, S. and Biavati, F. and Schulze, K. and Bosserdt, M. and Hövermann, L.G. and Stober, S. and Samek, W. and Kofoed, K.F. and Maurovich-Horvat, Pál and Donnelly, P. and Benedek, T. and Williams, M.C. and Dewey, M.}, doi = {10.1186/s13244-024-01827-0}, journal-iso = {INSIGHTS IMAGING}, journal = {INSIGHTS INTO IMAGING}, volume = {15}, unique-id = {35484827}, issn = {1869-4101}, year = {2024}, eissn = {1869-4101}, orcid-numbers = {Maurovich-Horvat, Pál/0000-0003-0885-736X} } @article{MTMT:35476488, title = {Experiences with 18F-JK-PSMA-07 PET/CT Scans in Biochemical Recurrence of Prostate Adenocarcinoma}, url = {https://m2.mtmt.hu/api/publication/35476488}, author = {Nádasdy-Horváth, Domonkos and Czibor, Sándor and Kristóf, Emese and Z., Varga and Bús, Katalin and A., Balogh and G., Tóth and Szakáll, Szabolcs and Szalontai, János and M., Szűcs and Nyirády, Péter and Györke, Tamás}, journal-iso = {EUR J NUCL MED MOL I}, journal = {EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING}, volume = {51}, unique-id = {35476488}, issn = {1619-7070}, year = {2024}, eissn = {1619-7089}, pages = {S533-S533}, orcid-numbers = {Czibor, Sándor/0000-0002-7679-3137; Kristóf, Emese/0000-0002-6407-0804; Bús, Katalin/0000-0002-8435-2702; Szalontai, János/0000-0002-7702-089X; Nyirády, Péter/0000-0002-7037-4919; Györke, Tamás/0000-0002-8772-9931} } @article{MTMT:35476189, title = {Intraindividual Comparison of Ultrahigh-Spatial-Resolution Photon-Counting Detector CT and Energy-Integrating Detector CT for Coronary Stenosis Measurement}, url = {https://m2.mtmt.hu/api/publication/35476189}, author = {Vecsey-Nagy, Milán and Tremamunno, G. and Schoepf, U.J. and Gnasso, C. and Zsarnóczay, Emese and Fink, N. and Kravchenko, D. and Halfmann, M.C. and Laux, G.S. and O’Doherty, J. and Szilveszter, Bálint and Maurovich-Horvat, Pál and Kabakus, I.M. and Suranyi, P.S. and Varga-Szemes, A. and Emrich, T.}, doi = {10.1161/CIRCIMAGING.124.017112}, journal-iso = {CIRC-CARDIOVASC IMAG}, journal = {CIRCULATION-CARDIOVASCULAR IMAGING}, volume = {17}, unique-id = {35476189}, issn = {1941-9651}, year = {2024}, eissn = {1942-0080}, orcid-numbers = {Vecsey-Nagy, Milán/0000-0001-9306-289X; Zsarnóczay, Emese/0000-0002-7952-8478; Szilveszter, Bálint/0000-0003-1530-4288; Maurovich-Horvat, Pál/0000-0003-0885-736X} } @article{MTMT:35476002, title = {Artificial Intelligence Improves Prediction of Major Adverse Cardiovascular Events in Patients Undergoing Transcatheter Aortic Valve Replacement Planning CT}, url = {https://m2.mtmt.hu/api/publication/35476002}, author = {Tremamunno, G. and Vecsey-Nagy, Milán and Schoepf, U.J. and Zsarnóczay, Emese and Aquino, G.J. and Kravchenko, D. and Laghi, A. and Jacob, A. and Sharma, P. and Rapaka, S. and O'Doherty, J. and Suranyi, P.S. and Kabakus, I.M. and Amoroso, N.S. and Steinberg, D.H. and Emrich, T. and Varga-Szemes, A.}, doi = {10.1016/j.acra.2024.09.046}, journal-iso = {ACAD RADIOL}, journal = {ACADEMIC RADIOLOGY}, unique-id = {35476002}, issn = {1076-6332}, year = {2024}, eissn = {1878-4046}, orcid-numbers = {Vecsey-Nagy, Milán/0000-0001-9306-289X; Zsarnóczay, Emese/0000-0002-7952-8478} } @article{MTMT:35472997, title = {The interplay of genetic and environmental factors on the morphology of the limbic cortex and hippocampal subfields: Insights from an MRI twin study}, url = {https://m2.mtmt.hu/api/publication/35472997}, author = {Vessal, Arsalan and Alijanpourotaghsara, Amirreza and Strelnikov, David and Persely, Aliz and Piroska, Márton and Alijanpour, A. and Jokkel, Zsófia and Szalontai, László and Forgo, B. and Kozák, Lajos Rudolf and Bekesy-Szabo, A. and Maurovich-Horvat, Pál and Tárnoki, Dávid László and Tárnoki, Ádám Domonkos}, doi = {10.1016/j.pscychresns.2024.111909}, journal-iso = {PSYCHIAT RES-NEUROIM}, journal = {PSYCHIATRY RESEARCH-NEUROIMAGING}, volume = {345}, unique-id = {35472997}, issn = {0925-4927}, year = {2024}, eissn = {1872-7506}, orcid-numbers = {Strelnikov, David/0000-0002-5911-9335; Piroska, Márton/0000-0002-6000-5044; Jokkel, Zsófia/0000-0002-5407-6540; Kozák, Lajos Rudolf/0000-0003-0368-3663; Maurovich-Horvat, Pál/0000-0003-0885-736X; Tárnoki, Dávid László/0000-0002-7001-7647; Tárnoki, Ádám Domonkos/0000-0001-5909-3780} } @misc{MTMT:35469364, title = {Clinicopathological features and treatment outcomes of pituitary apoplexy in a single endocrine referral centre in Hungary}, url = {https://m2.mtmt.hu/api/publication/35469364}, author = {Stempler, Márk and Bényei, Erik and Sipos, László and Orbay, Péter and Nagy, Gábor and Czirják, Sándor and Nyilas, Nóra Luca and Várallyay, Péter and Balla, Réka and Szücs, Nikolette and Barsi, Péter and Tóth, Miklós and Tőke, Judit}, unique-id = {35469364}, year = {2024}, orcid-numbers = {Sipos, László/0000-0002-9543-3014; Nagy, Gábor/0000-0001-8831-3340; Czirják, Sándor/0000-0002-8224-3561; Szücs, Nikolette/0000-0002-6614-1311; Barsi, Péter/0000-0002-3574-9973; Tóth, Miklós/0000-0002-8701-408X} } @article{MTMT:35467283, title = {Brown adipose tissue activation in paediatric and adolescent oncological (Hodgkin lymphoma or sarcoma) cases visualised on FDG PET/CT}, url = {https://m2.mtmt.hu/api/publication/35467283}, author = {Jorgov, Linda and Magyar, Boglárka and Piroska, Márton and Czibor, Sándor and Györke, Tamás}, doi = {10.1556/1647.2024.00262}, journal-iso = {IMAGING}, journal = {IMAGING}, volume = {2024}, unique-id = {35467283}, year = {2024}, eissn = {2732-0960}, orcid-numbers = {Jorgov, Linda/0000-0002-0345-9621; Magyar, Boglárka/0000-0001-9202-156X; Piroska, Márton/0000-0002-6000-5044; Czibor, Sándor/0000-0002-7679-3137; Györke, Tamás/0000-0002-8772-9931} } @article{MTMT:35440582, title = {Lung imaging methods. indications, strengths and limitations.}, url = {https://m2.mtmt.hu/api/publication/35440582}, author = {Tárnoki, Dávid László and Karlinger, Kinga and Ridge, Carole A and Kiss, Fanni Júlia and Györke, Tamás and Grabczak, Elzbieta Magdalena and Tárnoki, Ádám Domonkos}, doi = {10.1183/20734735.0127-2023}, journal-iso = {BREATHE}, journal = {BREATHE}, volume = {20}, unique-id = {35440582}, issn = {1810-6838}, abstract = {Imaging methods are fundamental tools to detect and diagnose lung diseases, monitor their treatment and detect possible complications. Each modality, starting from classical chest radiographs and computed tomography, as well as the ever more popular and easily available thoracic ultrasound, magnetic resonance imaging and nuclear medicine methods, and new techniques such as photon counting computed tomography, radiomics and application of artificial intelligence, has its strong and weak points, which we should be familiar with to properly choose between the methods and interpret their results. In this review, we present the indications, strengths and main limitations of methods for chest imaging.}, year = {2024}, eissn = {2073-4735}, orcid-numbers = {Tárnoki, Dávid László/0000-0002-7001-7647; Karlinger, Kinga/0000-0002-0846-6687; Györke, Tamás/0000-0002-8772-9931; Tárnoki, Ádám Domonkos/0000-0001-5909-3780} } @inproceedings{MTMT:35333334, title = {Continuous Max-Flow Augmentation of Self-Supervised Few-Shot Learning on Spect Left Ventricles}, url = {https://m2.mtmt.hu/api/publication/35333334}, author = {Szücs, A.I. and Kári, Béla and Pártos, Oszkár}, booktitle = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)}, doi = {10.1109/ISBI56570.2024.10635433}, unique-id = {35333334}, year = {2024} }