| A review on a deep learning perspective in brain cancer classification GS Tandel, M Biswas, OG Kakde, A Tiwari, HS Suri, M Turk, JR Laird, ... Cancers 11 (1), 111, 2019 | 441 | 2019 |
| Imaging biomarkers of vulnerable carotid plaques for stroke risk prediction and their potential clinical implications L Saba, T Saam, HR Jäger, C Yuan, TS Hatsukami, D Saloner, ... The Lancet Neurology 18 (6), 559-572, 2019 | 410 | 2019 |
| The present and future of deep learning in radiology L Saba, M Biswas, V Kuppili, EC Godia, HS Suri, DR Edla, T Omerzu, ... European journal of radiology 114, 14-24, 2019 | 385 | 2019 |
| A deep look into radiomics C Scapicchio, M Gabelloni, A Barucci, D Cioni, L Saba, E Neri La radiologia medica 126 (10), 1296-1311, 2021 | 308 | 2021 |
| Cerebral small vessel disease: a review focusing on pathophysiology, biomarkers, and machine learning strategies E Cuadrado-Godia, P Dwivedi, S Sharma, AO Santiago, JR Gonzalez, ... Journal of stroke 20 (3), 302, 2018 | 294 | 2018 |
| Transvaginal ultrasound vs magnetic resonance imaging for diagnosing deep infiltrating endometriosis: systematic review and meta‐analysis S Guerriero, L Saba, MA Pascual, S Ajossa, I Rodriguez, V Mais, ... Ultrasound in Obstetrics & Gynecology 51 (5), 586-595, 2018 | 275 | 2018 |
| Mature and immature ovarian teratomas: CT, US and MR imaging characteristics L Saba, S Guerriero, R Sulcis, B Virgilio, GB Melis, G Mallarini European journal of radiology 72 (3), 454-463, 2009 | 262 | 2009 |
| CT or invasive coronary angiography in stable chest pain P Maurovich-Horvat, M Bosserdt, KF Kofoed, N Rieckmann, T Benedek, ... New England Journal of Medicine 386 (17), 1591-1602, 2022 | 239 | 2022 |
| Carotid artery wall imaging: perspective and guidelines from the ASNR vessel wall imaging study group and expert consensus recommendations of the American Society of Neuroradiology L Saba, C Yuan, TS Hatsukami, N Balu, Y Qiao, JK DeMarco, T Saam, ... American Journal of Neuroradiology 39 (2), E9-E31, 2018 | 237 | 2018 |
| Imaging in Neurological Disease of Hospitalized COVID-19 Patients: An Italian Multicenter Retrospective Observational Study RG Abdelkader Mahammedi, Luca Saba, Achala Vagal, Michela Leali, Andrea ... Radiology, 201933-201933, 2020 | 230* | 2020 |
| CT and ultrasound in the study of ulcerated carotid plaque compared with surgical results: potentialities and advantages of multidetector row CT angiography L Saba, G Caddeo, R Sanfilippo, R Montisci, G Mallarini American journal of neuroradiology 28 (6), 1061-1066, 2007 | 224* | 2007 |
| Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm GS Tandel, A Balestrieri, T Jujaray, NN Khanna, L Saba, JS Suri Computers in Biology and Medicine 122, 103804, 2020 | 223 | 2020 |
| State-of-the-art review on deep learning in medical imaging M Biswas, V Kuppili, L Saba, DR Edla, HS Suri, E Cuadrado-Godia, ... Frontiers in Bioscience-Landmark 24 (3), 380-406, 2019 | 213 | 2019 |
| Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm M Biswas, V Kuppili, DR Edla, HS Suri, L Saba, RT Marinhoe, ... Computer methods and programs in biomedicine 155, 165-177, 2018 | 208 | 2018 |
| Imaging of the carotid artery vulnerable plaque L Saba, M Anzidei, BC Marincola, M Piga, E Raz, PP Bassareo, A Napoli, ... Cardiovascular and interventional radiology 37, 572-585, 2014 | 171 | 2014 |
| Diagnostic accuracy of colour Doppler ultrasonography, CT angiography and blood-pool-enhanced MR angiography in assessing carotid stenosis: a comparative study with DSA in 170 … M Anzidei, A Napoli, F Zaccagna, PL DI PAOLO, L Saba, ... La radiologia medica 117 (1), 54-71, 2012 | 168 | 2012 |
| Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review B Jena, S Saxena, GK Nayak, L Saba, N Sharma, JS Suri Computers in Biology and Medicine 137, 104803, 2021 | 165 | 2021 |
| Automated stratification of liver disease in ultrasound: an online accurate feature classification paradigm L Saba, N Dey, AS Ashour, S Samanta, SS Nath, S Chakraborty, ... Computer methods and programs in biomedicine 130, 118-134, 2016 | 155 | 2016 |
| Atherosclerotic risk stratification strategy for carotid arteries using texture-based features UR Acharya, SV Sree, MMR Krishnan, F Molinari, L Saba, SYS Ho, ... Ultrasound in medicine & biology 38 (6), 899-915, 2012 | 153 | 2012 |
| Symptomatic vs. asymptomatic plaque classification in carotid ultrasound RU Acharya, O Faust, APC Alvin, SV Sree, F Molinari, L Saba, ... Journal of medical systems 36, 1861-1871, 2012 | 152 | 2012 |
Jasjit Suri PhD MBA, FIEEE, FAIMBE,...Global Biomedical Technologies, Inc., CA, USA; Computer Engineering Dept., Idaho State University確認したメール アドレス: AtheroPoint.com