Rami Vanguri

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 10

Top Topics

High Resolution Video

Top Venues

BrainLes@MICCAI (2)

Publications

Parmida Ghahremani, Yanyun Li, Arie Kaufman, Rami Vanguri, Noah Greenwald, Michael Angelo, Travis J. Hollmann, Saad Nadeem
Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification. Nat. Mach. Intell. 4 (4) (2022)
Yu-Cheng Liu, Yulin Liu, Rami Vanguri, Daniel Litwiller, Michael Z. Liu, Hao-Yun Hsu, Richard Ha, Hiram Shaish, Sachin Jambawalikar
3D Isotropic Super-resolution Prostate MRI Using Generative Adversarial Networks and Unpaired Multiplane Slices. J. Digit. Imaging 34 (5) (2021)
Michael Z. Liu, Rami Vanguri, Simukayi Mutasa, Richard Ha, Yu-Cheng Liu, Terry Button, Sachin Jambawalikar
Channel width optimized neural networks for liver and vessel segmentation in liver iron quantification. Comput. Biol. Medicine 122 (2020)
Andrew Aukerman, Mathieu Carrière, Chao Chen, Kevin Gardner, Raúl Rabadán, Rami Vanguri
Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study. SoCG (2020)
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
Using model classifications as quantitative traits to estimate stroke heritability. AMIA (2018)
Ahana Roy Choudhury, Rami Vanguri, Sachin R. Jambawalikar, Piyush Kumar
Segmentation of Brain Tumors Using DeepLabv3+. BrainLes@MICCAI (2) (2018)
Alexandre Yahi, Rami Vanguri, Noémie Elhadad, Nicholas P. Tatonetti
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories. CoRR (2017)
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, David K. Vawdrey
Automated Identification of Families in Electronic Health Records to Support Clinical Research. CRI (2017)
Joseph D. Romano, Kenrick Cato, Rami Vanguri, Nicholas P. Tatonetti
Deep recurrent neural networks identify transgender patients. AMIA (2017)
Kenrick Cato, Joseph D. Romano, Rami Vanguri, Nicholas P. Tatonetti
The Use of Informatics to Reduce Disparities in Transgender Health. AMIA (2017)