| Radiomic features are superior to conventional quantitative computed tomographic metrics to identify coronary plaques with napkin-ring sign M Kolossváry, J Karády, B Szilveszter, P Kitslaar, U Hoffmann, B Merkely, ... Circulation: Cardiovascular Imaging 10 (12), e006843, 2017 | 205 | 2017 |
| Cardiac computed tomography radiomics: a comprehensive review on radiomic techniques M Kolossváry, M Kellermayer, B Merkely, P Maurovich-Horvat Journal of thoracic imaging 33 (1), 26-34, 2018 | 193 | 2018 |
| Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography M Kolossváry, J Park, JI Bang, J Zhang, JM Lee, JC Paeng, B Merkely, ... European Heart Journal-Cardiovascular Imaging 20 (11), 1250-1258, 2019 | 135 | 2019 |
| Plaque imaging with CT—a comprehensive review on coronary CT angiography based risk assessment M Kolossváry, B Szilveszter, B Merkely, P Maurovich-Horvat Cardiovascular diagnosis and therapy 7 (5), 489, 2017 | 124 | 2017 |
| Radiomics versus visual and histogram-based assessment to identify atheromatous lesions at coronary CT angiography: an ex vivo study M Kolossváry, J Karády, Y Kikuchi, A Ivanov, CL Schlett, MT Lu, B Foldyna, ... Radiology 293 (1), 89-96, 2019 | 113 | 2019 |
| Myocardial infarction associates with a distinct pericoronary adipose tissue radiomic phenotype: a prospective case-control study A Lin, M Kolossváry, J Yuvaraj, S Cadet, PA McElhinney, C Jiang, ... Cardiovascular Imaging 13 (11), 2371-2383, 2020 | 110 | 2020 |
| Advanced atherosclerosis imaging by CT: radiomics, machine learning and deep learning M Kolossváry, CN De Cecco, G Feuchtner, P Maurovich-Horvat Journal of cardiovascular computed tomography 13 (5), 274-280, 2019 | 102 | 2019 |
| Incomplete circle of Willis is associated with a higher incidence of neurologic events during carotid eversion endarterectomy without shunting PV Banga, A Varga, C Csobay-Novák, M Kolossváry, E Szántó, ... Journal of Vascular Surgery 68 (6), 1764-1771, 2018 | 69 | 2018 |
| Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT RHJA Slart, MC Williams, LE Juarez-Orozco, C Rischpler, MR Dweck, ... European journal of nuclear medicine and molecular imaging 48, 1399-1413, 2021 | 67 | 2021 |
| Artificial intelligence in cardiovascular imaging for risk stratification in coronary artery disease A Lin, M Kolossváry, M Motwani, I Išgum, P Maurovich-Horvat, PJ Slomka, ... Radiology: Cardiothoracic Imaging 3 (1), e200512, 2021 | 62 | 2021 |
| The effect of iterative model reconstruction on coronary artery calcium quantification B Szilveszter, H Elzomor, M Károlyi, M Kolossváry, R Raaijmakers, ... The international journal of cardiovascular imaging 32, 153-160, 2016 | 52 | 2016 |
| Experience with an on-site coronary computed tomography-derived fractional flow reserve algorithm for the assessment of intermediate coronary stenoses PM Donnelly, M Kolossváry, J Karády, PA Ball, S Kelly, D Fitzsimons, ... The American Journal of Cardiology 121 (1), 9-13, 2018 | 49 | 2018 |
| Serum lipids and cardiac function correlate with nitrotyrosine and MMP activity in coronary artery disease patients P Bencsik, V Sasi, K Kiss, K Kupai, M Kolossváry, P Maurovich‐Horvat, ... European journal of clinical investigation 45 (7), 692-701, 2015 | 43 | 2015 |
| Multidetector CT angiography of the Circle of Willis: association of its variants with carotid artery disease and brain ischemia A Varga, G Di Leo, PV Banga, C Csobay-Novák, M Kolossváry, ... European radiology 29, 46-56, 2019 | 39 | 2019 |
| Artificial intelligence: improving the efficiency of cardiovascular imaging A Lin, M Kolossváry, I Išgum, P Maurovich-Horvat, PJ Slomka, D Dey Expert review of medical devices 17 (6), 565-577, 2020 | 38 | 2020 |
| Radiomics-based precision phenotyping identifies unstable coronary plaques from computed tomography angiography A Lin, M Kolossváry, S Cadet, P McElhinney, M Goeller, D Han, J Yuvaraj, ... Cardiovascular Imaging 15 (5), 859-871, 2022 | 35 | 2022 |
| Left ventricular and atrial strain imaging with cardiac computed tomography: validation against echocardiography B Szilveszter, AI Nagy, B Vattay, A Apor, M Kolossváry, A Bartykowszki, ... Journal of Cardiovascular Computed Tomography 14 (4), 363-369, 2020 | 35 | 2020 |
| Effect of image reconstruction algorithms on volumetric and radiomic parameters of coronary plaques M Kolossváry, B Szilveszter, J Karády, ZD Drobni, B Merkely, ... Journal of cardiovascular computed tomography 13 (6), 325-330, 2019 | 35 | 2019 |
| Artificial intelligence in cardiovascular CT: Current status and future implications A Lin, M Kolossváry, M Motwani, I Išgum, P Maurovich-Horvat, PJ Slomka, ... Journal of cardiovascular computed tomography 15 (6), 462-469, 2021 | 34 | 2021 |
| Contribution of risk factors to the development of coronary atherosclerosis as confirmed via coronary CT angiography: a longitudinal radiomics-based study M Kolossváry, G Gerstenblith, DA Bluemke, EK Fishman, RN Mandler, ... Radiology 299 (1), 97-106, 2021 | 34 | 2021 |
