Below are the most recent publications written about "Diagnosis, Computer-Assisted" by people in Profiles.
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Pham TT, Brecheisen J, Wu CC, Nguyen H, Deng Z, Adjeroh D, Doretto G, Choudhary A, Le N. ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions. Artif Intell Med. 2025 02; 160:103054.
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Stabenau HF, Waks JW. BRAVEHEART: Open-source software for automated electrocardiographic and vectorcardiographic analysis. Comput Methods Programs Biomed. 2023 Dec; 242:107798.
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Baldassano SN, Roberson SW, Balu R, Scheid B, Bernabei JM, Pathmanathan J, Oommen B, Leri D, Echauz J, Gelfand M, Bhalla PK, Hill CE, Christini A, Wagenaar JB, Litt B. IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit. IEEE J Biomed Health Inform. 2020 08; 24(8):2389-2397.
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Str?m P, Kartasalo K, Olsson H, Solorzano L, Delahunt B, Berney DM, Bostwick DG, Evans AJ, Grignon DJ, Humphrey PA, Iczkowski KA, Kench JG, Kristiansen G, van der Kwast TH, Leite KRM, McKenney JK, Oxley J, Pan CC, Samaratunga H, Srigley JR, Takahashi H, Tsuzuki T, Varma M, Zhou M, Lindberg J, Lindskog C, Ruusuvuori P, W?hlby C, Gr?nberg H, Rantalainen M, Egevad L, Eklund M. Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study. Lancet Oncol. 2020 02; 21(2):222-232.
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Jeng-Miller KW, Yonekawa Y. Telemedicine and Pediatric Retinal Disease. Int Ophthalmol Clin. 2020; 60(1):47-56.
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MacCormick IJC, Williams BM, Zheng Y, Li K, Al-Bander B, Czanner S, Cheeseman R, Willoughby CE, Brown EN, Spaeth GL, Czanner G. Accurate, fast, data efficient and interpretable glaucoma diagnosis with automated spatial analysis of the whole cup to disc profile. PLoS One. 2019; 14(1):e0209409.
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Wang M, Shen LQ, Pasquale LR, Petrakos P, Formica S, Boland MV, Wellik SR, De Moraes CG, Myers JS, Saeedi O, Wang H, Baniasadi N, Li D, Tichelaar J, Bex PJ, Elze T. An Artificial Intelligence Approach to Detect Visual Field Progression in Glaucoma Based on Spatial Pattern Analysis. Invest Ophthalmol Vis Sci. 2019 01 02; 60(1):365-375.
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Sayres R, Taly A, Rahimy E, Blumer K, Coz D, Hammel N, Krause J, Narayanaswamy A, Rastegar Z, Wu D, Xu S, Barb S, Joseph A, Shumski M, Smith J, Sood AB, Corrado GS, Peng L, Webster DR. Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy. Ophthalmology. 2019 04; 126(4):552-564.
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Nir G, Hor S, Karimi D, Fazli L, Skinnider BF, Tavassoli P, Turbin D, Villamil CF, Wang G, Wilson RS, Iczkowski KA, Lucia MS, Black PC, Abolmaesumi P, Goldenberg SL, Salcudean SE. Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts. Med Image Anal. 2018 12; 50:167-180.
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Kielar AZ, Chernyak V, Bashir MR, Do RK, Fowler KJ, Mitchell DG, Cerny M, Elsayes KM, Santillan C, Kamaya A, Kono Y, Sirlin CB, Tang A. LI-RADS 2017: An update. J Magn Reson Imaging. 2018 06; 47(6):1459-1474.