R. Nick Bryan

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 10

Top Topics

Convolutional Neural Network

Natural Language Processing

Top Venues

J. Digit. Imaging

Publications

Zhen Zhou, Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen, Jimit Doshi, Güray Erus, Elizabeth Mamourian, R. Nick Bryan, David A. Wolk, Lori L. Beason-Held, Susan M. Resnick, Theodore D. Satterthwaite, Christos Davatzikos, Haochang Shou, Yong Fan
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage 269 (2023)
Chintan Shah, Karapet Davtyan, Ilya M. Nasrallah, R. Nick Bryan, Suyash Mohan
Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education. J. Digit. Imaging 36 (1) (2023)
Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, Karl Li, Jose Rafael Romero, Elyas Fadaee, Ilya M. Nasrallah, Saima Hilal, R. Nick Bryan, Timothy M. Hughes, Christos Davatzikos, Lenore J. Launer, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes
Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI. CoRR (2022)
Jeffrey D. Rudie, Jeffrey T. Duda, Michael Tran Duong, Po-Hao Chen, Long Xie, Robert Kurtz, Jeffrey B. Ware, Joshua Choi, Raghav R. Mattay, Emmanuel J. Botzolakis, James C. Gee, R. Nick Bryan, Tessa Sundaram Cook, Suyash Mohan, Ilya M. Nasrallah, Andreas M. Rauschecker
Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance. J. Digit. Imaging 34 (4) (2021)
Liyan Tang, Dhruv Rajan, Suyash Mohan, Abhijeet Pradhan, R. Nick Bryan, Greg Durrett
Making Document-Level Information Extraction Right for the Right Reasons. CoRR (2021)
Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR (2021)
Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR (2020)
Tanweer Rashid, Ahmed Abdulkadir, Ilya M. Nasrallah, Jeffrey B. Ware, Pascal Spincemaille, J. Rafael Romero, R. Nick Bryan, Susan R. Heckbert, Mohamad Habes
DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI. CoRR (2020)
Justin F. Rousseau, Juan Diego Rodriguez, Jared Abrams, Alex Liu, R. Nick Bryan
Combining Forces for MRI Brain: Natural Language Processing of Radiology Reports with Structured Documentation. AMIA (2019)
Thaddeus J. Haight, R. Nick Bryan, Güray Erus, Christos Davatzikos, David R. Jacobs, Mark D'Esposito, Cora E. Lewis, Lenore J. Launer
Vascular risk factors, cerebrovascular reactivity, and the default-mode brain network. NeuroImage 115 (2015)
Bilwaj Gaonkar, Güray Erus, Kilian M. Pohl, Manoj Tanwar, Stefan Margiewicz, R. Nick Bryan, Christos Davatzikos
Automated segmentation of cortical necrosis using awavelet based abnormality detection system. ISBI (2011)
Güray Erus, Evangelia I. Zacharaki, R. Nick Bryan, Christos Davatzikos
Learning high-dimensional image statistics for abnormality detection on medical images. CVPR Workshops (2010)
Bilwaj Gaonkar, Güray Erus, R. Nick Bryan, Christos Davatzikos
Automated segmentation of brain lesions by combining intensity and spatial information. ISBI (2010)
Evangelia I. Zacharaki, Stathis Kanterakis, R. Nick Bryan, Christos Davatzikos
Measuring Brain Lesion Progression with a Supervised Tissue Classification System. MICCAI (1) (2008)
Zhiqiang Lao, Dinggang Shen, Abbas Jawad, Bilge Karaçali, Dengfeng Liu, Elias R. Melhem, R. Nick Bryan, Christos Davatzikos
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification. ISBI (2006)
Stelios K. Kyriacou, Christos Davatzikos, S. James Zinreich, R. Nick Bryan
Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model [MRI]. IEEE Trans. Medical Imaging 18 (7) (1999)
Marc Vaillant, Christos Davatzikos, Russell H. Taylor, R. Nick Bryan
A path-planning algorithm for image-guided neurosurgery. CVRMed (1997)
Christos Davatzikos, Jerry L. Prince, R. Nick Bryan
Image registration based on boundary mapping. IEEE Trans. Medical Imaging 15 (1) (1996)
Christos Davatzikos, R. Nick Bryan
Using a deformable surface model to obtain a shape representation of the cortex. IEEE Trans. Medical Imaging 15 (6) (1996)
Christos Davatzikos, Marc Vaillant, Susan M. Resnick, Jerry L. Prince, Stanley Letovsky, R. Nick Bryan
Morphological Analysis of Brain Structures Using Spatial Normalization. VBC (1996)
Wieslaw L. Nowinski, Anthony Fang, Bonnie T. Nguyen, Raghu Raghavan, R. Nick Bryan, Jerry Miller
Talairach-Tournoux/Schaltenbrand-Wahren Based Electronic Brain Atlas System. CVRMed (1995)