A new approach for speech enhancement based on the adaptive thresholding of the wavelet packets. - Yasser Ghanbari; Mohammad Reza Karami-Mollaei (Speech Commun., 2006)

Robustness of neural spike sorting to sampling rate and quantization bit depth. - Yasser Ghanbari; Panos Papamichalis; Larry Spence (DPS, 2009)

Graph-spectrum-based neural spike features for stereotrodes and tetrodes. - Yasser Ghanbari; Panos Papamichalis; Larry Spence (ICASSP, 2010)

Graph-Laplacian Features for Neural Waveform Classification. - Yasser Ghanbari; Panos Papamichalis; Larry Spence (IEEE Trans. Biomed. Eng., 2011)

Dominant Component Analysis of Electrophysiological Connectivity Networks. - Yasser Ghanbari; Luke Bloy; Kayhan N. Batmanghelich; Timothy P. L. Roberts; Ragini Verma (MICCAI (3), 2012)

Locality Preserving Non-negative Basis Learning with Graph Embedding. - Yasser Ghanbari; John D. Herrington; Ruben C. Gur; Robert T. Schultz; Ragini Verma (IPMI, 2013)

Connectivity Subnetwork Learning for Pathology and Developmental Variations. - Yasser Ghanbari; Alex R. Smith; Robert T. Schultz; Ragini Verma (MICCAI (1), 2013)

Functionally Driven Brain Networks Using Multi-layer Graph Clustering. - Yasser Ghanbari; Luke Bloy; Varsha Shankar; J. Christopher Edgar; Timothy P. L. Roberts; Robert T. Schultz; Ragini Verma (MICCAI (3), 2014)

Identifying group discriminative and age regressive sub-networks from DTI-based connectivity via a unified framework of non-negative matrix factorization and graph embedding. - Yasser Ghanbari; Alex R. Smith; Robert T. Schultz; Ragini Verma (Medical Image Anal., 2014)

PUNCH: Population Characterization of Heterogeneity. - Birkan Tunç; Yasser Ghanbari; Alex R. Smith; Juhi Pandey; Aaron Browne; Robert T. Schultz; Ragini Verma (NeuroImage, 2014)

On characterizing population commonalities and subject variations in brain networks. - Yasser Ghanbari; Luke Bloy; Birkan Tunç; Varsha Shankar; Timothy P. L. Roberts; J. Christopher Edgar; Robert T. Schultz; Ragini Verma (Medical Image Anal., 2017)