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Chandra Sekhar Sripada
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2020 – today
- 2022
- [j6]Saige Rutherford, Pascal Sturmfels, Mike Angstadt, Jasmine L. Hect, Jenna Wiens, Marion I. van den Heuvel, Dustin Scheinost, Chandra Sekhar Sripada, Moriah E. Thomason:
Automated Brain Masking of Fetal Functional MRI with Open Data. Neuroinformatics 20(1): 173-185 (2022)
2010 – 2019
- 2019
- [j5]Tara Safavi, Chandra Sekhar Sripada, Danai Koutra:
Fast network discovery on sequence data via time-aware hashing. Knowl. Inf. Syst. 61(2): 987-1017 (2019) - [c5]Alexander Ritchie, Clayton D. Scott, Laura Balzano, Daniel Kessler, Chandra Sekhar Sripada:
Supervised Principal Component Analysis Via Manifold Optimization. DSW 2019: 6-10 - [c4]Yujun Yan, Jiong Zhu, Marlena Duda, Eric Solarz, Chandra Sekhar Sripada, Danai Koutra:
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data. KDD 2019: 772-782 - 2018
- [c3]Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sekhar Sripada, Jenna Wiens:
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images. MLHC 2018: 295-311 - [i1]Pascal Sturmfels, Saige Rutherford, Mike Angstadt, Mark Peterson, Chandra Sekhar Sripada, Jenna Wiens:
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images. CoRR abs/1808.04362 (2018) - 2017
- [c2]Tara Safavi, Chandra Sekhar Sripada, Danai Koutra:
Scalable Hashing-Based Network Discovery. ICDM 2017: 405-414 - 2014
- [j4]Chandra Sekhar Sripada, Michael Angstadt, Daniel Kessler, K. Luan Phan, Israel Liberzon, Gary W. Evans, Robert C. Welsh, Pilyoung Kim, James E. Swain:
Volitional regulation of emotions produces distributed alterations in connectivity between visual, attention control, and default networks. NeuroImage 89: 110-121 (2014) - [j3]Takanori Watanabe, Daniel Kessler, Clayton D. Scott, Michael Angstadt, Chandra Sekhar Sripada:
Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine. NeuroImage 96: 183-202 (2014) - [c1]Takanori Watanabe, Clayton D. Scott, Daniel Kessler, Michael Angstadt, Chandra Sekhar Sripada:
Scalable fused Lasso SVM for connectome-based disease prediction. ICASSP 2014: 5989-5993 - 2013
- [j2]Chandra Sekhar Sripada, Daniel Kessler, Robert C. Welsh, Michael Angstadt, Israel Liberzon, K. Luan Phan, Clayton D. Scott:
Distributed effects of methylphenidate on the network structure of the resting brain: A connectomic pattern classification analysis. NeuroImage 81: 213-221 (2013) - 2011
- [j1]Chandra Sekhar Sripada, Mike Angstadt, Patrick McNamara, Andrea C. King, K. Luan Phan:
Effects of alcohol on brain responses to social signals of threat in humans. NeuroImage 55(1): 371-380 (2011)
Coauthor Index
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