Sudhir Shankar Raman
Sudhir Shankar Raman
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Computational neuroimaging strategies for single patient predictions
KE Stephan, F Schlagenhauf, QJM Huys, S Raman, EA Aponte, ...
Neuroimage 145, 180-199, 2017
A hemodynamic model for layered BOLD signals
J Heinzle, PJ Koopmans, HEM den Ouden, S Raman, KE Stephan
Neuroimage 125, 556-570, 2016
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
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
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
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
Automatic model selection in archetype analysis
S Prabhakaran, S Raman, JE Vogt, V Roth
Joint DAGM (German Association for Pattern Recognition) and OAGM Symposium …, 2012
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
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
Sparse Bayesian regression for grouped variables in generalized linear models
S Raman, V Roth
Joint Pattern Recognition Symposium, 242-251, 2009
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
Bayesian Grouped Variable Selection
SS Raman
Ph. D. Thesis, Computer Science Department, University of Basel, Switzerland, 2012
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
Sparse point estimation for bayesian regression via simulated annealing
S Raman, V Roth
Pattern Recognition, 317-326, 2012
Thermodynamic integration for dynamic causal models
EA Aponte, S Raman, S Frässle, J Heinzle, WD Penny, KE Stephan
bioRxiv, 471417, 2018
Bayesian Survival Models for Analyzing Breast Tumors
V Roth, TJ Fuchs, SS Raman, PJ Wild
NIPS Workshop, 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 1–19