An Tang, MD, MSc
An Tang, MD, MSc
Professor of Radiology, University of Montreal
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Citado por
Deep learning: a primer for radiologists
G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ...
Radiographics 37 (7), 2113-2131, 2017
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
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
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
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
Epidemiology of hepatocellular carcinoma: target population for surveillance and diagnosis
A Tang, O Hallouch, V Chernyak, A Kamaya, CB Sirlin
Abdominal Radiology 43, 13-25, 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
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
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
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
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
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
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
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
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
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, 71-90, 2016
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
Liver segmentation: indications, techniques and future directions
A Gotra, L Sivakumaran, G Chartrand, KN Vu, F Vandenbroucke-Menu, ...
Insights into imaging 8, 377-392, 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
Liver iron quantification with MR imaging: a primer for radiologists
R Labranche, G Gilbert, M Cerny, KN Vu, D Soulières, D Olivié, JS Billiard, ...
Radiographics 38 (2), 392-412, 2018
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