Below are the most recent publications written about "Image Interpretation, Computer-Assisted" by people in Profiles.
-
Porembka JH, Lee RK, Spalluto LB, Yee J, Krishnaraj A, Zaidi SF, Brewington C. Radiologists' Increasing Role in Population Health Management: AJR Expert Panel Narrative Review. AJR Am J Roentgenol. 2022 01; 218(1):7-18.
-
Chaganti J, Taylor M, Woodford H, Steel T. Differentiation of Primary Central Nervous System Lymphoma and High-Grade Glioma with Dynamic Susceptibility Contrast-Derived Metrics: Pilot Study. World Neurosurg. 2021 07; 151:e979-e987.
-
Anteraper SA, Gopinath K, Hoch MJ, Waldrop-Valverde D, Franklin D, Letendre SL, Whitfield-Gabrieli S, Anderson AM. A comprehensive data-driven analysis framework for detecting impairments in brain function networks with resting state fMRI in HIV-infected individuals on cART. J Neurovirol. 2021 04; 27(2):239-248.
-
Brodie F, Repka M, Burns SA, Prakalapakorn SG, Morse C, Schuman JS, Duenas MR, Afshari N, Pollack JS, Thorne JE, Vitale A, Sen HN, Myung D, Blumenkranz MS, Tu E, Hammer DX, Tarver M, Cunningham B, Kagemann L, Sadda S, Sarraf D, Jaffe GJ, Eydelman M. Development, Validation, and Innovation in Ophthalmic Laser-Based Imaging: Report From a US Food and Drug Administration-Cosponsored Forum. JAMA Ophthalmol. 2021 01 01; 139(1):113-118.
-
George Y, Antony BJ, Ishikawa H, Wollstein G, Schuman JS, Garnavi R. Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images. IEEE J Biomed Health Inform. 2020 12; 24(12):3421-3430.
-
Bawany MH, Ding L, Ramchandran RS, Sharma G, Wykoff CC, Kuriyan AE. Automated vessel density detection in fluorescein angiography images correlates with vision in proliferative diabetic retinopathy. PLoS One. 2020; 15(9):e0238958.
-
Schaffter T, Buist DSM, Lee CI, Nikulin Y, Ribli D, Guan Y, Lotter W, Jie Z, Du H, Wang S, Feng J, Feng M, Kim HE, Albiol F, Albiol A, Morrell S, Wojna Z, Ahsen ME, Asif U, Jimeno Yepes A, Yohanandan S, Rabinovici-Cohen S, Yi D, Hoff B, Yu T, Chaibub Neto E, Rubin DL, Lindholm P, Margolies LR, McBride RB, Rothstein JH, Sieh W, Ben-Ari R, Harrer S, Trister A, Friend S, Norman T, Sahiner B, Strand F, Guinney J, Stolovitzky G, Mackey L, Cahoon J, Shen L, Sohn JH, Trivedi H, Shen Y, Buturovic L, Pereira JC, Cardoso JS, Castro E, Kalleberg KT, Pelka O, Nedjar I, Geras KJ, Nensa F, Goan E, Koitka S, Caballero L, Cox DD, Krishnaswamy P, Pandey G, Friedrich CM, Perrin D, Fookes C, Shi B, Cardoso Negrie G, Kawczynski M, Cho K, Khoo CS, Lo JY, Sorensen AG, Jung H. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms. JAMA Netw Open. 2020 03 02; 3(3):e200265.
-
Chitalia RD, Rowland J, McDonald ES, Pantalone L, Cohen EA, Gastounioti A, Feldman M, Schnall M, Conant E, Kontos D. Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence. Clin Cancer Res. 2020 02 15; 26(4):862-869.
-
Jahani N, Cohen E, Hsieh MK, Weinstein SP, Pantalone L, Hylton N, Newitt D, Davatzikos C, Kontos D. Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration. Sci Rep. 2019 08 20; 9(1):12114.
-
Johnson KM, Johnson HE, Zhao Y, Dowe DA, Staib LH. Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning. Radiology. 2019 08; 292(2):354-362.