Gautam V. Pendse

Jaymin Upadhyay, Julie Anderson, Richard Baumgartner, Alexandre Coimbra, Adam J. Schwarz, Gautam V. Pendse, Diana Wallin, Lauren Nutile, James Bishop, Edward George, Igor Elman, Soujanya Sunkaraneni, Gary Maier, Smriti Iyengar, Jeffrey L. Evelhoch, David Bleakman, Richard Hargreaves, Lino Becerra, David Borsook: Modulation of CNS pain circuitry by intravenous and sublingual doses of buprenorphine. NeuroImage 59(4): 3762-3773 (2012)

Gautam V. Pendse: PMOG: The projected mixture of Gaussians model with application to blind source separation. Neural Networks 28: 40-60 (2012)

Gautam V. Pendse: BSVM: A Banded Suport Vector Machine. CoRR abs/1107.2347 (2011)

Jaymin Upadhyay, Gautam V. Pendse, Julie Anderson, Adam J. Schwarz, Richard Baumgartner, Alexandre Coimbra, James Bishop, Jamie Knudsen, Edward George, Igor D. Grachev, Smriti Iyengar, David Bleakman, Richard Hargreaves, David Borsook, Lino Becerra: Improved characterization of BOLD responses for evoked sensory stimuli. NeuroImage 49(3): 2275-2286 (2010)

Gautam V. Pendse, Richard Baumgartner, Adam J. Schwarz, Alexandre Coimbra, David Borsook, Lino Becerra: A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI. IEEE Trans. Med. Imaging 29(9): 1573-1611 (2010)

Gautam V. Pendse: PMOG: The projected mixture of Gaussians model with application to blind source separation. CoRR abs/1008.2743 (2010)

Gautam V. Pendse, David Borsook, Lino Becerra: Enhanced false discovery rate using Gaussian mixture models for thresholding fMRI statistical maps. NeuroImage 47(1): 231-261 (2009)

Hans D. Mittelmann, Gautam V. Pendse, Daniel E. Rivera, Hyunjin Lee: Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria. Comp. Opt. and Appl. 38(1): 173-190 (2007)