MathSciNet MATH Google Scholar Shah, N. H. et al. Comparison of concept recognizers for building the Open Biomedical Annotator. BMC Bioinformatics 10, S14 (2009). PubMed PubMed Central Google Scholar Musen, M. A. et al. The National Center for Biomedical Ontology. J. Am. Med. Inform...
Article Google Scholar Cheng H, Koc L, Harmsen J, Shaked T, Chandra T, Aradhye H, … Shah, H (2016) Wide & deep learning for recommender systems, pp 1–4. https://doi.org/10.1145/2988450.2988454 Christakopoulou K, Beutel A, Li R, Jain, S, Chi EH (2018) Q & R : a ...
Ali, S., Shah, M.: In: A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis. pp. 1–6. IEEE (2007) Ali, I., Dailey, M.N.: Multiple human tracking in high-density crowds. Image Vis. Comput. 30(12), 966–977 (2012) Article Google Scholar Badr...
Article CAS Google Scholar Croisile B, Ska B, Brabant M-J, Duchene A, Lepage Y, Aimard G, et al. Comparative study of oral and written picture description in patients with alzheimer’s disease. Brain Lang. 1996;53:1–19 Elsevier. Article CAS Google Scholar Cuetos F, Arango-Laspri...
& Shah, S. P. Interpretable dimensionality reduction of single cell transcriptome data with deep generative models. Nat. Commun. 9, 2002 (2018). Article PubMed PubMed Central Google Scholar Goulard, M. & Voltz, M. Linear coregionalization model: tools for estimation and choice of cross-...
Google Scholar Ramnath et al., 2019 Ramnath S., Haghighi P., Kim J.H., Detwiler D., Berry M., Shah J.J., Aulig N., Wollstadt P., Menzel S. Automatically generating 60, 000 CAD variants for big data applications 39th Comput. Inf. Eng. Conf., American Society of Mechanical Engi...
Shah Application of artificial intelligence for the diagnosis and treatment of liver diseases Hepatology, 73 (2021), pp. 2546-2563, 10.1002/hep.31603 Google Scholar [15] J. Kim, S. Park, D. Min, W. Kim Comprehensive survey of recent drug discovery using deep learning IJMS, 22 (2021), ...
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[Google Scholar] [CrossRef] Munir, K.; Elahi, H.; Ayub, A.; Frezza, F.; Rizzi, A. Cancer diagnosis using deep learning: A bibliographic review. Cancers 2019, 11, 1235. [Google Scholar] [CrossRef] [Green Version] Desai, M.; Shah, M. An anatomization on Breast Cancer Detection ...
Google Scholar METABRIC Group, Curtis C, Shah SP, Chin S-F, Turashvili G, Rueda OM, et al. The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature. 2012;486:346–52. ArticleCASPubMed CentralGoogle Scholar ...