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| International evaluation of an AI system for breast cancer screening SM McKinney, M Sieniek, V Godbole, J Godwin, N Antropova, H Ashrafian, ... Nature 577 (7788), 89-94, 2020 | 1670 | 2020 |
| End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography D Ardila, AP Kiraly, S Bharadwaj, B Choi, JJ Reicher, L Peng, D Tse, ... Nature medicine 25 (6), 954-961, 2019 | 1277 | 2019 |
| Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning R Poplin, AV Varadarajan, K Blumer, Y Liu, MV McConnell, GS Corrado, ... Nature biomedical engineering 2 (3), 158-164, 2018 | 1259 | 2018 |
| Artificial intelligence and deep learning in ophthalmology DSW Ting, LR Pasquale, L Peng, JP Campbell, AY Lee, R Raman, ... British Journal of Ophthalmology 103 (2), 167-175, 2019 | 719 | 2019 |
| Detecting cancer metastases on gigapixel pathology images Y Liu, K Gadepalli, M Norouzi, GE Dahl, T Kohlberger, A Boyko, ... arXiv preprint arXiv:1703.02442, 2017 | 670 | 2017 |
| TiO2 nanotube arrays of 1000 μm length by anodization of titanium foil: phenol red diffusion M Paulose, HE Prakasam, OK Varghese, L Peng, KC Popat, GK Mor, ... The Journal of Physical Chemistry C 111 (41), 14992-14997, 2007 | 636 | 2007 |
| Grader variability and the importance of reference standards for evaluating machine learning models for diabetic retinopathy J Krause, V Gulshan, E Rahimy, P Karth, G Corrado, K Widner, L Peng, ... | 385 | 2018 |
| Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer DF Steiner, R MacDonald, Y Liu, P Truszkowski, JD Hipp, C Gammage, ... The American Journal of Surgical Pathology 42 (12), 1636-1646, 2018 | 368 | 2018 |
| A deep learning system for differential diagnosis of skin diseases Y Liu, A Jain, C Eng, DH Way, K Lee, P Bui, K Kanada, ... Nature medicine 26 (6), 900-908, 2020 | 344 | 2020 |
| Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer K Nagpal, D Foote, Y Liu, PHC Chen, E Wulczyn, F Tan, N Olson, ... NPJ digital medicine 2 (1), 48, 2019 | 334 | 2019 |
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| Deep learning in ophthalmology: the technical and clinical considerations DSW Ting, L Peng, AV Varadarajan, PA Keane, PM Burlina, MF Chiang, ... Progress in retinal and eye research 72, 100759, 2019 | 306 | 2019 |
| The effect of TiO2 nanotubes on endothelial function and smooth muscle proliferation L Peng, ML Eltgroth, TJ LaTempa, CA Grimes, TA Desai Biomaterials 30 (7), 1268-1272, 2009 | 290 | 2009 |
| Using a deep learning algorithm and integrated gradients explanation to assist grading for diabetic retinopathy R Sayres, A Taly, E Rahimy, K Blumer, D Coz, N Hammel, J Krause, ... Ophthalmology 126 (4), 552-564, 2019 | 289 | 2019 |
| Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists Y Liu, T Kohlberger, M Norouzi, GE Dahl, JL Smith, A Mohtashamian, ... Archives of Pathology & Laboratory Medicine, 2018 | 289 | 2018 |
| Long-Term Small Molecule and Protein Elution from TiO2 Nanotubes L Peng, AD Mendelsohn, TJ LaTempa, S Yoriya, CA Grimes, TA Desai Nano letters 9 (5), 1932-1936, 2009 | 246 | 2009 |
| Combined targeting of MEK and PI3K/mTOR effector pathways is necessary to effectively inhibit NRAS mutant melanoma in vitro and in vivo C Posch, H Moslehi, L Feeney, GA Green, A Ebaee, V Feichtenschlager, ... Proceedings of the National Academy of Sciences 110 (10), 4015-4020, 2013 | 235 | 2013 |
| Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial … GS Collins, P Dhiman, CLA Navarro, J Ma, L Hooft, JB Reitsma, P Logullo, ... BMJ open 11 (7), e048008, 2021 | 201 | 2021 |
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Dale R WebsterResearch Director, GooglePotvrđena adresa e-pošte na google.com
