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Sudhir Shankar Raman
Sudhir Shankar Raman
Verified email at novartis.com
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Cited by
Year
Computational neuroimaging strategies for single patient predictions
KE Stephan, F Schlagenhauf, QJM Huys, S Raman, EA Aponte, ...
Neuroimage 145, 180-199, 2017
1602017
A hemodynamic model for layered BOLD signals
J Heinzle, PJ Koopmans, HEM den Ouden, S Raman, KE Stephan
Neuroimage 125, 556-570, 2016
1362016
The Bayesian group-lasso for analyzing contingency tables
S Raman, TJ Fuchs, PJ Wild, E Dahl, V Roth
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1102009
TAPAS: an open-source software package for Translational Neuromodeling and Computational Psychiatry
S Frässle, EA Aponte, S Bollmann, KH Brodersen, CT Do, OK Harrison, ...
Frontiers in Psychiatry 12, 857, 2021
722021
mpdcm: A toolbox for massively parallel dynamic causal modeling
EA Aponte, S Raman, B Sengupta, WD Penny, KE Stephan, J Heinzle
Journal of neuroscience methods 257, 7-16, 2016
362016
A hierarchical model for integrating unsupervised generative embedding and empirical Bayes
S Raman, L Deserno, F Schlagenhauf, KE Stephan
Journal of neuroscience methods 269, 6-20, 2016
192016
Automatic model selection in archetype analysis
S Prabhakaran, S Raman, JE Vogt, V Roth
Pattern Recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria …, 2012
162012
Variational Bayesian inversion for hierarchical unsupervised generative embedding (HUGE)
Y Yao, SS Raman, M Schiek, A Leff, S Frässle, KE Stephan
NeuroImage 179, 604-619, 2018
122018
Infinite mixture-of-experts model for sparse survival regression with application to breast cancer
S Raman, TJ Fuchs, PJ Wild, E Dahl, JM Buhmann, V Roth
BMC bioinformatics 11 (8), S8, 2010
102010
Sparse Bayesian regression for grouped variables in generalized linear models
S Raman, V Roth
Joint Pattern Recognition Symposium, 242-251, 2009
82009
An introduction to thermodynamic integration and application to dynamic causal models
EA Aponte, Y Yao, S Raman, S Frässle, J Heinzle, WD Penny, ...
Cognitive Neurodynamics, 1-15, 2021
62021
Probabilistic clustering of time-evolving distance data
JE Vogt, M Kloft, S Stark, SS Raman, S Prabhakaran, V Roth, G Rätsch
Machine learning 100 (2), 635-654, 2015
62015
Bayesian Grouped Variable Selection
SS Raman
Ph. D. Thesis, Computer Science Department, University of Basel, Switzerland, 2012
22012
Sparse point estimation for bayesian regression via simulated annealing
S Raman, V Roth
Pattern Recognition, 317-326, 2012
12012
Serotonin Reduces Belief Stickiness
VA Conceição, FH Petzschner, DM Cole, KV Wellstein, D Müller, ...
bioRxiv, 2023.12. 08.570769, 2023
2023
Thermodynamic integration for dynamic causal models
EA Aponte, S Raman, S Frässle, J Heinzle, WD Penny, KE Stephan
bioRxiv, 471417, 2018
2018
Bayesian Survival Models for Analyzing Breast Tumors
V Roth, TJ Fuchs, SS Raman, PJ Wild
NIPS Workshop, 2008
2008
Bayesian Inference
SS Raman, TN Unit
Bayesian Model Selection
SS Raman, TN Unit
MAP Estimation via Simulated Annealing for Sparse Bayesian Regression using MCMC sampling
S Raman, V Roth
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Articles 1–20