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ORCIDTara M. Madhyastha
Person information
- affiliation: University of Washington, Seattle, USA
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2020 – today
- 2024
[j16]John C. Flournoy
, Nessa V. Bryce, Meg Dennison, Alexandra M. Rodman, Elizabeth A. McNeilly, Lucy A. Lurie, Debbie Bitran, Azure Reid-Russell, Constanza M. Vidal Bustamante, Tara M. Madhyastha, Katie A. McLaughlin:
A precision neuroscience approach to estimating reliability of neural responses during emotion processing: Implications for task-fMRI. NeuroImage 285: 120503 (2024)- 2020
- [c17]Micah Ketola, Andrea Stocco, Shelby Thompson, Tara M. Madhyastha, Thomas J. Grabowski:
Applying the Common Model of Cognition to Resting-State fMRI Leads to the Identification of Abnormal Functional Connectivity in Parkinson's Disease. CogSci 2020
2010 – 2019
- 2019
- [j15]Kaitlyn Casimo, Tara M. Madhyastha, Andrew L. Ko, Alainna B. Brown, Fabio Grassia, Jeffrey G. Ojemann, Kurt E. Weaver:
Spontaneous Variation in Electrocorticographic Resting-State Connectivity. Brain Connect. 9(6): 488-499 (2019) - [j14]Trevor K. McAllister-Day, Tara M. Madhyastha, Adél Lee, Cyrus P. Zabetian, Thomas J. Montine, Thomas J. Grabowski:
Effect of Dopaminergic Medications on Blood Oxygen Level-Dependent Variability and Functional Connectivity in Parkinson's Disease and Healthy Aging. Brain Connect. 9(7): 554-565 (2019) - [i2]Trevor K. McAllister-Day, Tara M. Madhyastha, Mary K. Askren, Peter Boord, Thomas J. Montine, Thomas J. Grabowski:
Attention Network Test fMRI data for participants with Parkinson's disease and healthy elderly. F1000Research 8: 780 (2019) - 2018
- [c16]Kin Ming Puk, Wei Xiang, Shouyi Wang, Cao (Danica) Xiao, W. Art Chaovalitwongse, Tara M. Madhyastha, Thomas J. Grabowski:
Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso. BI 2018: 423-434 - 2017
- [j13]Sijia Wang, Daniel J. Peterson, J. Christopher Gatenby, Wenbin Li, Thomas J. Grabowski, Tara M. Madhyastha:
Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI. Frontiers Neuroinformatics 11: 17 (2017) - [j12]Tara M. Madhyastha, Natalie Koh, Trevor K. McAllister-Day, Moisés Hernández-Fernández, Austin Kelley, Daniel J. Peterson, Sabreena Rajan, Karl A. Woelfer, Jonathan Wolf, Thomas J. Grabowski:
Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost? Frontiers Neuroinformatics 11: 63 (2017) - 2016
- [j11]Mary K. Askren, Trevor K. McAllister-Day, Natalie Koh, Zoé Mestre, Jennifer N. Dines, Benjamin A. Korman, Susan J. Melhorn, Daniel J. Peterson, Matthew Peverill, Xiaoyan Qin, Swati D. Rane, Melissa A. Reilly, Maya A. Reiter, Kelly A. Sambrook, Karl A. Woelfer, Thomas J. Grabowski, Tara M. Madhyastha:
Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance. Frontiers Neuroinformatics 10: 2 (2016) - [j10]Benjamin Bach, Conglei Shi, Nicolas Heulot, Tara M. Madhyastha, Thomas J. Grabowski, Pierre Dragicevic:
Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data. IEEE Trans. Vis. Comput. Graph. 22(1): 559-568 (2016) - 2015
- [j9]Tara M. Madhyastha, Mary K. Askren, Peter Boord, Thomas J. Grabowski:
Dynamic Connectivity at Rest Predicts Attention Task Performance. Brain Connect. 5(1): 45-59 (2015) - [j8]Benjamin Bach, Nathalie Henry Riche, Tim Dwyer, Tara M. Madhyastha, Jean-Daniel Fekete, Thomas J. Grabowski:
Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks. Comput. Graph. Forum 34(3): 31-40 (2015) - [j7]Franziskus Liem, Susan Mérillat, Ladina Bezzola, Sarah Hirsiger, Michel Philipp, Tara M. Madhyastha, Lutz Jäncke:
Reliability and statistical power analysis of cortical and subcortical FreeSurfer metrics in a large sample of healthy elderly. NeuroImage 108: 95-109 (2015) - [i1]Chris Gaiteri, Mingming Chen, Boleslaw K. Szymanski, Konstantin Kuzmin, Jierui Xie, Changkyu Lee, Timothy Blanche, Elias Chaibub Neto, Su-Chun Huang, Thomas J. Grabowski, Tara M. Madhyastha, Vitalina Komashko:
Identifying robust clusters and multi-community nodes by combining top-down and bottom-up approaches to clustering. CoRR abs/1501.04709 (2015) - 2014
- [j6]Tara M. Madhyastha, Thomas J. Grabowski:
Age-Related Differences in the Dynamic Architecture of Intrinsic Networks. Brain Connect. 4(4): 231-241 (2014) - [j5]Hui Yang, O. Erhun Kundakcioglu, Jing Li, Teresa Wu, Joseph Ross Mitchell, Amy K. Hara, William Pavlicek, Leland S. Hu, Alvin C. Silva, Christine M. Zwart, Sait Tunç, Oguzhan Alagöz, Elizabeth S. Burnside, W. Art Chaovalitwongse, Georgiy Presnyakov, Yulian Cao, Sirirat Sujitnapitsatham, Daehan Won, Tara M. Madhyastha, Kurt E. Weaver, Paul R. Borghesani, Thomas J. Grabowski, Lianjie Shu, Man Ho Ling, Shui Yee Wong, Kwok-Leung Tsui:
Healthcare Intelligence: Turning Data into Knowledge. IEEE Intell. Syst. 29(3): 54-68 (2014) - [c15]Weiwei Cui, Xiting Wang, Shixia Liu, Nathalie Henry Riche, Tara M. Madhyastha, Kwan-Liu Ma, Baining Guo:
Let It Flow: A Static Method for Exploring Dynamic Graphs. PacificVis 2014: 121-128 - [c14]Nathalie Henry Riche, Yann Riche, Nicolas Roussel, Sheelagh Carpendale, Tara M. Madhyastha, Thomas J. Grabowski:
LinkWave: a visual adjacency list for dynamic weighted networks. IHM 2014: 113-122 - 2010
- [j4]Kathleen Scalise, Tara M. Madhyastha, Jim Minstrell, Mark R. Wilson:
Improving assessment evidence in e-learning products: some solutions for reliability. Int. J. Learn. Technol. 5(2): 191-208 (2010)
2000 – 2009
- 2009
- [c13]Tara M. Madhyastha, Steven L. Tanimoto:
Student Consistency and Implications for Feedback in Online Assessment Systems. EDM 2009: 81-90 - 2005
- [j3]Jessica Masters, Tara M. Madhyastha, Ali Shakouri:
Educational Applets for active learning in properties of electronic materials. IEEE Trans. Educ. 48(1): 29-36 (2005) - [c12]Bo Hong, Tara M. Madhyastha, Bing Zhang:
Cluster-based input/output trace synthesis. IPCCC 2005: 91-98 - [c11]Bo Hong, Tara M. Madhyastha:
The Relevance of Long-Range Dependence in Disk Traffic and Implications for Trace Synthesis. MSST 2005: 316-326 - 2003
- [c10]Preethy Vaidyanathan, Tara M. Madhyastha:
Dynamic Replication to Improve Input/Output Scalability of Genomic Alignment. CLADE 2003: 54 - [c9]Ivan Dramaliev, Tara M. Madhyastha:
Optimizing Probe-Based Storage. FAST 2003 - 2002
- [j2]Tara M. Madhyastha, Daniel A. Reed:
Learning to Classify Parallel Input/Output Access Patterns. IEEE Trans. Parallel Distributed Syst. 13(8): 802-813 (2002) - [c8]Mengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou, Christos Faloutsos, Tara M. Madhyastha:
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic. ICDE 2002: 507-516 - [c7]Miriam Sivan-Zimet, Tara M. Madhyastha:
Workload based optimization of probe-based storage. SIGMETRICS 2002: 256-257 - 2001
- [c6]Tara M. Madhyastha, Katherine Pu Yangy:
Physical Modeling of Probe-Based Storage. MSS 2001: 207-224
1990 – 1999
- 1999
- [c5]Tara M. Madhyastha, Garth A. Gibson, Christos Faloutsos:
Informed Prefetching of Collective Input/Output Requests. SC 1999: 13 - 1997
- [b1]Tara M. Madhyastha:
Automatic Classification of Input/output Access Patterns. University of Illinois Urbana-Champaign, USA, 1997 - [c4]Tara M. Madhyastha, Daniel A. Reed:
Input/Output Access Pattern Classification Using Hidden Markov Models. IOPADS 1997: 57-67 - [c3]Tara M. Madhyastha, Daniel A. Reed:
Exploiting Global Input Output Access Pattern Classification. SC 1997: 9 - 1996
- [c2]Daniel A. Reed, Christopher L. Elford, Tara M. Madhyastha, Evgenia Smirni, Stephen E. Lamm:
The Next Frontier: Interactive and Closed Loop Performance Steering. ICPP Workshop 1996: 20-31 - [c1]Daniel A. Reed, Tara M. Madhyastha, Ruth A. Aydt, Christopher L. Elford, Will H. Scullin, Evgenia Smirni:
I/O, Performance Analysis, and Performance Data Immersion. MASCOTS 1996: 5-15 - 1995
- [j1]Tara M. Madhyastha, Daniel A. Reed:
Data Sonification: Do You See What I Hear? IEEE Softw. 12(2): 45-56 (1995)
Coauthor Index
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