| Deep learning: a primer for radiologists G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ... Radiographics 37 (7), 2113-2131, 2017 | 327 | 2017 |
| Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis A Tang, J Tan, M Sun, G Hamilton, M Bydder, T Wolfson, AC Gamst, ... Radiology 267 (2), 422-431, 2013 | 313 | 2013 |
| Epidemiology of hepatocellular carcinoma: target population for surveillance and diagnosis A Tang, O Hallouch, V Chernyak, A Kamaya, CB Sirlin Abdominal Radiology 43 (1), 13-25, 2018 | 188 | 2018 |
| Liver Imaging Reporting and Data System (LI-RADS) version 2018: imaging of hepatocellular carcinoma in at-risk patients V Chernyak, KJ Fowler, A Kamaya, AZ Kielar, KM Elsayes, MR Bashir, ... Radiology 289 (3), 816-830, 2018 | 168 | 2018 |
| Canadian Association of Radiologists white paper on artificial intelligence in radiology A Tang, R Tam, A Cadrin-Chênevert, W Guest, J Chong, J Barfett, ... Canadian Association of Radiologists Journal 69 (2), 120-135, 2018 | 167 | 2018 |
| Learning normalized inputs for iterative estimation in medical image segmentation M Drozdzal, G Chartrand, E Vorontsov, M Shakeri, L Di Jorio, A Tang, ... Medical image analysis 44, 1-13, 2018 | 145 | 2018 |
| Accuracy of MR imaging–estimated proton density fat fraction for classification of dichotomized histologic steatosis grades in nonalcoholic fatty liver disease A Tang, A Desai, G Hamilton, T Wolfson, A Gamst, J Lam, L Clark, ... Radiology 274 (2), 416-425, 2015 | 145 | 2015 |
| 2017 version of LI-RADS for CT and MR imaging: an update KM Elsayes, JC Hooker, MM Agrons, AZ Kielar, A Tang, KJ Fowler, ... Radiographics 37 (7), 1994-2017, 2017 | 143 | 2017 |
| Ultrasound elastography and MR elastography for assessing liver fibrosis: part 2, diagnostic performance, confounders, and future directions A Tang, G Cloutier, NM Szeverenyi, CB Sirlin American journal of roentgenology 205 (1), 33-40, 2015 | 131 | 2015 |
| Evidence supporting LI-RADS major features for CT-and MR imaging–based diagnosis of hepatocellular carcinoma: a systematic review A Tang, MR Bashir, MT Corwin, I Cruite, CF Dietrich, RKG Do, EC Ehman, ... Radiology 286 (1), 29-48, 2018 | 129 | 2018 |
| Ultrasound elastography and MR elastography for assessing liver fibrosis: part 1, principles and techniques A Tang, G Cloutier, NM Szeverenyi, CB Sirlin American journal of roentgenology 205 (1), 22-32, 2015 | 129 | 2015 |
| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 125 | 2019 |
| Noninvasive quantitation of human liver steatosis using magnetic resonance and bioassay methods G d’Assignies, M Ruel, A Khiat, L Lepanto, M Chagnon, C Kauffmann, ... European radiology 19 (8), 2033-2040, 2009 | 116 | 2009 |
| Linearity, bias, and precision of hepatic proton density fat fraction measurements by using MR imaging: a meta-analysis T Yokoo, SD Serai, A Pirasteh, MR Bashir, G Hamilton, D Hernando, ... Radiology 286 (2), 486-498, 2018 | 115 | 2018 |
| Comparative 13-year meta-analysis of the sensitivity and positive predictive value of ultrasound, CT, and MRI for detecting hepatocellular carcinoma RF Hanna, VZ Miloushev, A Tang, LA Finklestone, SZ Brejt, RS Sandhu, ... Abdominal Radiology 41 (1), 71-90, 2016 | 110 | 2016 |
| Liver fibrosis: Review of current imaging and MRI quantification techniques L Petitclerc, G Sebastiani, G Gilbert, G Cloutier, A Tang Journal of Magnetic Resonance Imaging 45 (5), 1276-1295, 2017 | 107 | 2017 |
| Gadolinium-based contrast agents in kidney disease: a comprehensive review and clinical practice guideline issued by the Canadian Association of Radiologists N Schieda, JI Blaichman, AF Costa, R Glikstein, C Hurrell, M James, ... Canadian journal of kidney health and disease 5, 2054358118778573, 2018 | 77 | 2018 |
| Accuracy of the liver imaging reporting and data system in computed tomography and magnetic resonance image analysis of hepatocellular carcinoma or overall malignancy—a … CB Van der Pol, CS Lim, CB Sirlin, TA McGrath, JP Salameh, MR Bashir, ... Gastroenterology 156 (4), 976-986, 2019 | 76 | 2019 |
| Effects of insulin glargine and liraglutide therapy on liver fat as measured by magnetic resonance in patients with type 2 diabetes: a randomized trial A Tang, R Rabasa-Lhoret, H Castel, C Wartelle-Bladou, G Gilbert, ... Diabetes Care 38 (7), 1339-1346, 2015 | 76 | 2015 |
| Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement JR Geis, AP Brady, CC Wu, J Spencer, E Ranschaert, JL Jaremko, ... Canadian Association of Radiologists Journal 70 (4), 329-334, 2019 | 72 | 2019 |
Samuel KadouryPolytechnique MontrealAdresse e-mail validée de polymtl.ca
