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 | 494 | 2018 |
The RSNA pediatric bone age machine learning challenge SS Halabi, LM Prevedello, J Kalpathy-Cramer, AB Mamonov, A Bilbily, ... Radiology 290 (2), 498-503, 2019 | 384 | 2019 |
Training and validating a deep convolutional neural network for computer-aided detection and classification of abnormalities on frontal chest radiographs M Cicero, A Bilbily, E Colak, T Dowdell, B Gray, K Perampaladas, J Barfett Investigative radiology 52 (5), 281-287, 2017 | 296 | 2017 |
Canadian Association of Radiologists white paper on ethical and legal issues related to artificial intelligence in radiology Canadian Association of Radiologists (CAR) Artificial Intelligence Working Group Canadian Association of Radiologists' Journal 70 (2), 107-118, 2019 | 129 | 2019 |
Canadian Association of Radiologists White Paper on De-identification of medical imaging: Part 2, practical considerations W Parker, JL Jaremko, M Cicero, M Azar, K El-Emam, BG Gray, C Hurrell, ... Canadian Association of Radiologists Journal 72 (1), 25-34, 2021 | 17 | 2021 |
Canadian association of radiologists white paper on de-identification of medical imaging: part 1, general principles W Parker, JL Jaremko, M Cicero, M Azar, K El-Emam, BG Gray, C Hurrell, ... Canadian Association of Radiologists Journal 72 (1), 13-24, 2021 | 16 | 2021 |
Canadian Association of Radiologists (CAR) Artificial Intelligence Working Group. Canadian Association of Radiologists white paper on ethical and legal issues related to … JL Jaremko, M Azar, R Bromwich, A Lum, LH Alicia Cheong, M Gibert, ... Can Assoc Radiol J 70 (2), 107-118, 2019 | 15 | 2019 |
Machine Learning and the Future of Radiology: How we won the 2017 RSNA ML Challenge M Cicero, A Bilbily Recuperado a partir de https://www. 16bit. ai/blog/ml-and-future-of-radiology, 2017 | 11 | 2017 |
Opportunistic screening of low bone mineral density from standard x-rays A Bilbily, CA Syme, JD Adachi, C Berger, SN Morin, D Goltzman, ... Journal of the American College of Radiology 21 (4), 633-639, 2024 | 2 | 2024 |
Approximating bone mineral density and fracture risk using single energy x-rays M Cicero, A Bilbily, D Eftekhari US Patent App. 18/220,828, 2023 | | 2023 |
Systems and methods for approximating bone mineral density and fracture risk using single energy x-rays M Cicero, A Bilbily, D Eftekhari US Patent 11,737,704, 2023 | | 2023 |
Approximating femoral neck bone mineral density from hand, knee, and pelvis X-rays using deep learning K Golestan, CA Syme, A Bilbily, S Zuberi, M Volkovs, T Poutanen, ... Journal of Medical Artificial Intelligence 6, 2023 | | 2023 |
Opportunistic Classification of Low Bone Mineral Density from Lumbar Spine X-Rays Using Deep Learning A Bilbily, C Syme, D Eftekhari, R Daulatabad, K Perampaladas, JD Adachi, ... JOURNAL OF BONE AND MINERAL RESEARCH 37, 60-60, 2022 | | 2022 |
Canadian Association of Radiologists White Paper on De-identification of Medical Imaging: Part 2, Practical Considerations M Cicero, M Azar, C Hurrell, A Lum, LS CCPE12, E Lee, R Bromwich | | 2020 |
Canadian Surgery Forum1 Outcomes of the adjustable gastric band in a publicly funded obesity program2 Simultaneous cholecystectomy and bariatric procedure is feasible and safe … JC Chiu, I Apriasz, NV Christou, S Elkassem, S Sockalingam, R Fayez, ... Canadian Journal of Surgery 54 (4), S57-S104, 2011 | | 2011 |
RSNA Pneumonia Detection Challenge–Winning Model Documentation A Bilbily, M Cicero, L Pereira, M Volkovs | | |