Knowledge Representation and Control in Computer Vision Systems. - A. Ravishankar Rao; Ramesh C. Jain (IEEE Expert, 1988)

Scanning electron microscope based stereo analysis [for semiconductor IC inspection]. - Ali E. Kayaalp; A. Ravishankar Rao; Ramesh C. Jain (CVPR, 1989)

A taxonomy for texture description and identification. - A. Ravishankar Rao (1989)

Analyzing oriented textures through phase portraits. - A. Ravishankar Rao; Ramesh C. Jain (ICPR (1), 1990)

Scanning electron microscope-based stereo analysis. - Ali E. Kayaalp; A. Ravishankar Rao; Ramesh C. Jain (Mach. Vis. Appl., 1990)

Computing oriented texture fields. - A. Ravishankar Rao; Brian G. Schunck (CVGIP Graph. Model. Image Process., 1991)

Algorithms for a fast confocal optical inspection system. - A. Ravishankar Rao; Nagarajan Ramesh; Frederick Y. Wu; Jon R. Mandeville; Pieter J. M. Kerstens (WACV, 1992)

Computerized Flow Field Analysis: Oriented Texture Fields. - A. Ravishankar Rao; Ramesh C. Jain (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Towards a Texture Naming System: Identifying Relevant Dimensions in Texture. - A. Ravishankar Rao; Gerald L. Lohse (IEEE Visualization, 1993)

Identifying High Level Features of Texture Perception. - A. Ravishankar Rao; Gerald L. Lohse (CVGIP Graph. Model. Image Process., 1993)

Relationship Between Texture Terms and Texture Images: a Study in Human Texture Perception. - A. Ravishankar Rao; Nalini Bhushan; Gerald L. Lohse (Storage and Retrieval for Image and Video Databases (SPIE), 1996)

Future directions in industrial machine vision: a case study of semiconductor manufacturing applications. - A. Ravishankar Rao (Image Vis. Comput., 1996)

Digital watermarking for high-quality imaging. - Minerva M. Yeung; Frederick C. Mintzer; Gordon W. Braudaway; A. Ravishankar Rao (MMSP, 1997)

The Texture Lexicon: Understanding the Categorization of Visual Texture Terms and Their Relationship to Texture Images. - Nalini Bhushan; A. Ravishankar Rao; Gerald L. Lohse (Cogn. Sci., 1997)

Automatic defect classification for semiconductor manufacturing. - Paul B. Chou; A. Ravishankar Rao; Martin C. Sturzenbecker; Frederick Y. Wu; Virginia H. Brecher (Mach. Vis. Appl., 1997)

Color Calibration of a Calorimetric Scanner Using Non-Linear Least Squares. - A. Ravishankar Rao; Fred Mintzer (PICS, 1998)

Segmentation and automatic descreening of scanned documents. - Alejandro Jaimes; Frederick C. Mintzer; A. Ravishankar Rao; Gerry Thompson (Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts, 1999)

Color halftone descreening based on color sigma filters. - Chung-Hui Kuo; A. Ravishankar Rao; Gerry Thompson (Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts, 2001)

Wavelet based halftone segmentation and descreening filter design. - Chunghui Kuo; A. Ravishankar Rao; Gerhard Thompson (ICASSP, 2001)

Color halftone document segmentation and descreening. - Chung-Hui Kuo; Ahmed H. Tewfik; A. Ravishankar Rao (ICIP (2), 2001)

Color document analysis. - Chung-Hui Kuo; A. Ravishankar Rao; Gerry Thompson (Color Imaging: Device-Independent Color, Color Hardcopy, and Applications, 2002)

Simulation Infrastructure for Modeling Large Scale Neural Systems. - Charles C. Peck; James R. Kozloski; A. Ravishankar Rao; Guillermo A. Cecchi (International Conference on Computational Science, 2003)

A model of the formation of a self-organized cortical representation of color. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles Peck 001; James R. Kozloski (Human Vision and Electronic Imaging, 2005)

Evaluation of the Effect of Input Stimuli on the Quality of Orientation Maps Produced Through Self Organization. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles Peck 001; James R. Kozloski (SCIA, 2005)

Inference and segmentation in cortical processing. - Yuan Liu; Guillermo A. Cecchi; A. Ravishankar Rao; James R. Kozloski; Charles C. Peck (Human Vision and Electronic Imaging, 2006)

An optimization approach to achieve unsupervised segmentation and binding in a dynamical network. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles C. Peck; James R. Kozloski (IJCNN, 2006)

Topographic Infomax in a Neural Multigrid. - James R. Kozloski; Guillermo A. Cecchi; Charles Peck 001; A. Ravishankar Rao (ISNN (2), 2007)

Emergence of Topographic Cortical Maps in a Parameterless Local Competition Network. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles Peck 001; James R. Kozloski (ISNN (2), 2007)

Statistics of natural scenes and the cortical representation of color. - Guillermo A. Cecchi; A. Ravishankar Rao; Youping Xiao; Ehud Kaplan (Human Vision and Electronic Imaging, 2008)

Spatio-temporal Dynamics during Perceptual Processing in an Oscillatory Neural Network. - A. Ravishankar Rao; Guillermo A. Cecchi (ICANN (2), 2008)

Efficient segmentation in multi-layer oscillatory networks. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles C. Peck; James R. Kozloski (IJCNN, 2008)

Inferring brain dynamics using granger causality on fMRI data. - Guillermo A. Cecchi; Rahul Garg 001; A. Ravishankar Rao (ISBI, 2008)

Unsupervised Segmentation With Dynamical Units. - A. Ravishankar Rao; Guillermo A. Cecchi; Charles C. Peck; James R. Kozloski (IEEE Trans. Neural Networks, 2008)

Self-Organizing Map Simulations Confirm Similarity of Spatial Correlation Structure in Natural Images and Cortical Representations. - A. Ravishankar Rao; Guillermo A. Cecchi (ICANN (1), 2009)

An optimization approach to understanding structure-function relationships in the visual cortex. - A. Ravishankar Rao; Guillermo A. Cecchi (IJCNN, 2009)

A Cluster Overlap Measure for Comparison of Activations in fMRI Studies. - Guillermo A. Cecchi; Rahul Garg 001; A. Ravishankar Rao (MICCAI (1), 2009)

Prediction and interpretation of distributed neural activity with sparse models. - Melissa K. Carroll; Guillermo A. Cecchi; Irina Rish; Rahul Garg 001; A. Ravishankar Rao (NeuroImage, 2009)

Investigating the variation of orientation tuning in a computational model of the visual cortex. - A. Ravishankar Rao; Guillermo A. Cecchi (IJCNN, 2010)

An objective function utilizing complex sparsity for efficient segmentation in multi-layer oscillatory networks. - A. Ravishankar Rao; Guillermo A. Cecchi (Int. J. Intell. Comput. Cybern., 2010)

The effects of feedback and lateral connections on perceptual processing: A study using oscillatory networks. - A. Ravishankar Rao; Guillermo A. Cecchi (IJCNN, 2011)

Brain as a self-predictor: Sparse full-brain auto-regressive modeling in fMRI. - Rahul Garg 001; Guillermo A. Cecchi; A. Ravishankar Rao (ISBI, 2011)

A spatio-temporal support vector machine searchlight for fMRI analysis. - A. Ravishankar Rao; Rahul Garg 001; Guillermo A. Cecchi (ISBI, 2011)

Fast computation of functional networks from fMRI activity: a multi-platform comparison. - A. Ravishankar Rao; Rajesh Bordawekar; Guillermo A. Cecchi (Image Processing, 2011)

Full-brain auto-regressive modeling (FARM) using fMRI. - Rahul Garg 001; Guillermo A. Cecchi; A. Ravishankar Rao (NeuroImage, 2011)

A computational model of early visual cortex using konio-cellular pathway projections. - A. Ravishankar Rao; Youping Xiao (IJCNN, 2012)

ADHD classification using bag of words approach on network features. - Berkan Solmaz; Soumyabrata Dey; A. Ravishankar Rao; Mubarak Shah (Image Processing, 2012)

The measurement and analysis of cortical networks. - A. Ravishankar Rao (ICCI*CC, 2013)

Multi-sensory integration using sparse spatio-temporal encoding. - A. Ravishankar Rao; Guillermo A. Cecchi (IJCNN, 2013)

Capacity limits in oscillatory networks: Implications for sensory coding. - A. Ravishankar Rao; Guillermo A. Cecchi (IJCNN, 2013)

A framework for analyzing publicly available healthcare data. - A. Ravishankar Rao; Atul Chhabra; Rajarshi Das; Vikash Ruhil (HealthCom, 2015)

A fully integrated open-source toolkit for mining healthcare big-data: architecture and applications. - A. Ravishankar Rao; Daniel J. B. Clarke (ICHI, 2016)

A spatio-temporal model of multi-sensory learning that demonstrates improved object recall. - A. Ravishankar Rao (IJCNN, 2016)

The modulation of synchronization by tuning functions and its effect on multi-sensory perception. - A. Ravishankar Rao (IJCNN, 2017)

An open-source framework for the interactive exploration of Big Data: Applications in understanding health care. - A. Ravishankar Rao; Daniel J. B. Clarke (IJCNN, 2017)

Hiding in plain sight: insights about health-care trends gained through open health data. - A. Ravishankar Rao; Daniel J. B. Clarke (CoRR, 2017)

A comparison of models to predict medical procedure costs from open public healthcare data. - A. Ravishankar Rao; Daniel Clarke 002 (IJCNN, 2018)

A system for exploring big data: an iterative k-means searchlight for outlier detection on open health data. - A. Ravishankar Rao; Subrata Garai; Daniel J. B. Clarke; Soumyabrata Dey (IJCNN, 2018)

Building an Open Health Data Analytics Platform: a Case Study Examining Relationships and Trends in Seniority and Performance in Healthcare Providers. - A. Ravishankar Rao; Daniel Clarke 002; Maryelena Vargas (J. Heal. Informatics Res., 2018)

A computational model of multi-sensory perception and its application to investigating the controversy around learning styles. - A. Ravishankar Rao (IJCNN, 2019)

Capacity Building for a Cybersecurity Workforce Through Hands-on Labs for Internet-of-Things Security. - A. Ravishankar Rao; Daniel J. B. Clarke (NCS, 2019)

Building predictive models of healthcare costs with open healthcare data. - A. Ravishankar Rao; Subrata Garai; Soumyabrata Dey; Hang Peng (ICHI, 2020)

Perspectives on emerging directions in using IoT devices in blockchain applications. - A. Ravishankar Rao; Daniel Clarke 002 (Internet Things, 2020)

PIKS: A Technique to Identify Actionable Trends for Policy-Makers Through Open Healthcare Data. - A. Ravishankar Rao; Subrata Garai; Soumyabrata Dey; Hang Peng (SN Comput. Sci., 2021)

Machine Learning Models To Predict Length Of Stay In Hospitals. - Raunak Jain; Mrityunjai Singh; A. Ravishankar Rao; Rahul Garg 001 (ICHI, 2022)

Exploiting the Brain's Network Structure for Automatic Identification of ADHD Subjects. - Soumyabrata Dey; A. Ravishankar Rao; Mubarak Shah (CoRR, 2023)

Deep Learning System for User Identification Using Sensors on Doorknobs. - Jesús Vegas; A. Ravishankar Rao; César Llamas (Sensors, 2024)