The Use of Informatics to Reduce Disparities in Transgender Health. - Kenrick Cato; Joseph D. Romano; Rami Vanguri; Nicholas P. Tatonetti (AMIA, 2017)

Deep recurrent neural networks identify transgender patients. - Joseph D. Romano; Kenrick Cato; Rami Vanguri; Nicholas P. Tatonetti (AMIA, 2017)

Automated Identification of Families in Electronic Health Records to Support Clinical Research. - Fernanda Polubriaginof; Kayla Quinnies; Rami Vanguri; Alexandre Yahi; Mary Simmerling; Iuliana Ionita-Laza; Hojjat Salmasian; Suzanne Bakken; George Hripcsak; Krzysztof Kiryluk; David Goldstein; Nicholas P. Tatonetti; et al. (CRI, 2017)

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories. - Alexandre Yahi; Rami Vanguri; Noémie Elhadad; Nicholas P. Tatonetti (CoRR, 2017)

Using model classifications as quantitative traits to estimate stroke heritability. - Phyllis M. Thangaraj; Fernanda C. Polubriaginof; Benjamin Kummer; Rami Vanguri; Tal Lorberbaum; Joseph D. Romano; Kayla Quinnies; Alexandre Yahi; Mitchell S. V. Elkind; Nicholas P. Tatonetti (AMIA, 2018)

Segmentation of Brain Tumors Using DeepLabv3+. - Ahana Roy Choudhury; Rami Vanguri; Sachin R. Jambawalikar; Piyush Kumar (BrainLes@MICCAI (2), 2018)

Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification. - Michael Z. Liu; Rami Vanguri; Simukayi Mutasa; Richard Ha; Yu-Cheng Liu 003; Terry Button; Sachin Jambawalikar (Comput. Biol. Medicine, 2020)

3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices. - Yu-Cheng Liu 003; Yulin Liu; Rami Vanguri; Daniel Litwiller; Michael Z. Liu; Hao-Yun Hsu; Richard Ha; Hiram Shaish; Sachin Jambawalikar (J. Digit. Imaging, 2021)

Persistent homology based characterization of the breast cancer immune microenvironment: a feasibility study. - Andrew Aukerman; Mathieu Carrière; Chao Chen 012; Kevin Gardner; Raúl Rabadán; Rami Vanguri (J. Comput. Geom., 2021)

Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification. - Parmida Ghahremani; Yanyun Li; Arie E. Kaufman; Rami Vanguri; Noah F. Greenwald; Michael Angelo; Travis J. Hollmann; Saad Nadeem (Nat. Mach. Intell., 2022)