DatAR: Comparing Relationships between Brain Regions and Diseases: An Immersive AR Tool for Neuroscientists

Author:

Tanhaei Ghazaleh1ORCID,Hardman Lynda2ORCID,Hürst Wolfgang3ORCID

Affiliation:

1. Information and Computing Sciences, Utrecht University, Netherlands

2. Utrecht University, Netherlands and CWI, Netherlands

3. Department of Information and Computing Sciences, Utrecht University, Netherlands

Publisher

ACM

Reference10 articles.

1. A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data

2. From Maps to Multi-dimensional Network Mechanisms of Mental Disorders

3. Madeleine Goodkind , Simon  B. Eickhoff , Desmond  J. Oathes , Ying Jiang , Andrew Chang , Laura  B. Jones-Hagata , Brissa  N. Ortega , Yevgeniya  V. Zaiko , Erika  L. Roach , Mayuresh  S. Korgaonkar , Stuart  M. Grieve , Isaac Galatzer-Levy , Peter  T. Fox , and Amit Etkin . 2015. Identification of a Common Neurobiological Substrate for Mental Illness. JAMA Psychiatry 72, 4 (04 2015 ), 305–315. https://doi.org/10.1001/jamapsychiatry.2014.2206 arXiv:https://jamanetwork.com/journals/jamapsychiatry/articlepdf/2108651/yoi140096.pdf 10.1001/jamapsychiatry.2014.2206 Madeleine Goodkind, Simon B. Eickhoff, Desmond J. Oathes, Ying Jiang, Andrew Chang, Laura B. Jones-Hagata, Brissa N. Ortega, Yevgeniya V. Zaiko, Erika L. Roach, Mayuresh S. Korgaonkar, Stuart M. Grieve, Isaac Galatzer-Levy, Peter T. Fox, and Amit Etkin. 2015. Identification of a Common Neurobiological Substrate for Mental Illness. JAMA Psychiatry 72, 4 (04 2015), 305–315. https://doi.org/10.1001/jamapsychiatry.2014.2206 arXiv:https://jamanetwork.com/journals/jamapsychiatry/articlepdf/2108651/yoi140096.pdf

4. Using Mixed Reality for the Visualization and Dissemination of Complex 3D Models in Geosciences—Application to the Montserrat Massif (Spain)

5. Taeho Jo , Kwangsik Nho , and Andrew  J. Saykin . 2019. Deep Learning in Alzheimer’s Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data. Frontiers in Aging Neuroscience 11 ( 2019 ). https://doi.org/10.3389/fnagi.2019.00220 10.3389/fnagi.2019.00220 Taeho Jo, Kwangsik Nho, and Andrew J. Saykin. 2019. Deep Learning in Alzheimer’s Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data. Frontiers in Aging Neuroscience 11 (2019). https://doi.org/10.3389/fnagi.2019.00220

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