| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical image analysis 84, 102680, 2023 | 1882 | 2023 |
| Deep learning: a primer for radiologists G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ... Radiographics 37 (7), 2113-2131, 2017 | 1401 | 2017 |
| 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 | 1196 | 2018 |
| 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, ... Radiology 293 (2), 436-440, 2019 | 699 | 2019 |
| Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis AN Tang, J Tan, M Sun, G Hamilton, M Bydder, T Wolfson, AC Gamst, ... Radiology 267 (2), 422-431, 2013 | 643 | 2013 |
| 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 | 629 | 2018 |
| 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 | 569 | 2018 |
| 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 | 404 | 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 | 386 | 2015 |
| 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 | 362 | 2019 |
| 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 | 347 | 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 | 296 | 2015 |
| 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 | 291 | 2018 |
| 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 | 276 | 2017 |
| Liver segmentation: indications, techniques and future directions A Gotra, L Sivakumaran, G Chartrand, KN Vu, F Vandenbroucke-Menu, ... Insights into imaging 8 (4), 377-392, 2017 | 269 | 2017 |
| 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 | 255 | 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 | 251 | 2017 |
| Health information management: implications of artificial intelligence on healthcare data and information management MH Stanfill, DT Marc Yearbook of medical informatics 28 (01), 056-064, 2019 | 249 | 2019 |
| 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 | 237 | 2015 |
| 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 | 234 | 2018 |
Claude SirlinLiver Imaging Group, Dept of Radiology, UC San DiegoVerified email at ucsd.edu
