Nirmal Keshava

Algorithms for characterizing brain metabolites in two-dimensional in vivo MR correlation spectroscopy

Daniel Cocuzzo, Alexander Lin, Saadallah Ramadan, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Measuring the performance of an integrative patient similarity measure in the context of adverse drug events

Nirmal Keshava, N. Keshava, 2017, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Neuro magnetic resonance spectroscopy using wavelet decomposition and statistical testing identifies biochemical changes in people with spinal cord injury and pain

Yvonne Tran, Ashley Craig, Daniel Cocuzzo, 2010, NeuroImage.

Matching wavelet packets to Gaussian random processes

José M. F. Moura, Nirmal Keshava, 1999, IEEE Trans. Signal Process..

Sensitivity of biomarkers to post-acquisitional processing parameters for in vivo brain MR spectroscopy signals

Daniel Cocuzzo, Nirmal Keshava, N. Keshava, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Relationships between physical phenomena, distance metrics, and best-bands selection in hyperspectral processing

Nirmal Keshava, Peter W. Boettcher, 2001, SPIE Defense + Commercial Sensing.

Angle-based band selection for material identification in hyperspectral processing

Nirmal Keshava, N. Keshava, 2003, SPIE Defense + Commercial Sensing.

Linear unmixing performance forecasting

John P. Kerekes, Nirmal Keshava, Kristine E. Farrar, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Terrain classification in polarimetric SAR using wavelet packets

José M. F. Moura, Nirmal Keshava, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Best bands selection for detection in hyperspectral processing

Nirmal Keshava, N. Keshava, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).