R. Nick Bryan

According to our database, R. Nick Bryan authored at least 21 papers between 1995 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study.

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

NeuroImage, April, 2023

Artificial Intelligence-Powered Clinical Decision Support and Simulation Platform for Radiology Trainee Education.

Chintan Shah, Karapet Davtyan, Ilya M. Nasrallah, R. Nick Bryan, Suyash Mohan

J. Digit. Imaging, February, 2023

2022

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI.

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

CoRR, 2022

2021

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

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

J. Digit. Imaging, 2021

Making Document-Level Information Extraction Right for the Right Reasons.

Liyan Tang, Dhruv Rajan, Suyash Mohan, Abhijeet Pradhan, R. Nick Bryan, Greg Durrett

CoRR, 2021

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.

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

CoRR, 2021

2020

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging.

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

CoRR, 2020

DEEPMIR: A DEEP convolutional neural network for differential detection of cerebral Microbleeds and IRon deposits in MRI.

Tanweer Rashid, Ahmed Abdulkadir, Ilya M. Nasrallah, Jeffrey B. Ware, Pascal Spincemaille, J. Rafael Romero, R. Nick Bryan, Susan R. Heckbert, Mohamad Habes

CoRR, 2020

2019

Combining Forces for MRI Brain: Natural Language Processing of Radiology Reports with Structured Documentation.

Justin F. Rousseau, Juan Diego Rodriguez, Jared Abrams, Alex Liu, R. Nick Bryan

Proceedings of the AMIA 2019, 2019

2015

Vascular risk factors, cerebrovascular reactivity, and the default-mode brain network.

Thaddeus J. Haight, R. Nick Bryan, Güray Erus, Christos Davatzikos, David R. Jacobs Jr., Mark D'Esposito, Cora E. Lewis, Lenore J. Launer

NeuroImage, 2015

2011

Automated segmentation of cortical necrosis using awavelet based abnormality detection system.

Bilwaj Gaonkar, Güray Erus, Kilian M. Pohl, Manoj Tanwar, Stefan Margiewicz, R. Nick Bryan, Christos Davatzikos

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Automated segmentation of brain lesions by combining intensity and spatial information.

Bilwaj Gaonkar, Güray Erus, R. Nick Bryan, Christos Davatzikos

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Learning high-dimensional image statistics for abnormality detection on medical images.

Güray Erus, Evangelia I. Zacharaki, R. Nick Bryan, Christos Davatzikos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Measuring Brain Lesion Progression with a Supervised Tissue Classification System.

Evangelia I. Zacharaki, Stathis Kanterakis, R. Nick Bryan, Christos Davatzikos

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2006

Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification.

Zhiqiang Lao, Dinggang Shen, Abbas Jawad, Bilge Karaçali, Dengfeng Liu, Elias R. Melhem, R. Nick Bryan, Christos Davatzikos

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

1999

Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model [MRI].

Stelios K. Kyriacou, Christos Davatzikos, S. James Zinreich, R. Nick Bryan

IEEE Trans. Medical Imaging, 1999

1997

A path-planning algorithm for image-guided neurosurgery.

Marc Vaillant, Christos Davatzikos, Russell H. Taylor, R. Nick Bryan

Proceedings of the CVRMed-MRCAS'97, 1997

1996

Image registration based on boundary mapping.

Christos Davatzikos, Jerry L. Prince, R. Nick Bryan

IEEE Trans. Medical Imaging, 1996

Using a deformable surface model to obtain a shape representation of the cortex.

Christos Davatzikos, R. Nick Bryan

IEEE Trans. Medical Imaging, 1996

Morphological Analysis of Brain Structures Using Spatial Normalization.

Christos Davatzikos, Marc Vaillant, Susan M. Resnick, Jerry L. Prince, Stanley Letovsky, R. Nick Bryan

Proceedings of the Visualization in Biomedical Computing, 4th International Conference, 1996

1995

Talairach-Tournoux/Schaltenbrand-Wahren Based Electronic Brain Atlas System.

Wieslaw L. Nowinski, Anthony Fang, Bonnie T. Nguyen, Raghu Raghavan, R. Nick Bryan, Jerry Miller

Proceedings of the Computer Vision, 1995