Rami Vanguri - RankMe

11 papers A* 1Misc 3Journal 5Unranked 2

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