Optical Imaging & Intelligent Processing (OIIP) Lab

Faculty

Hassan Salehi

Lab Website

Link

The Optical Imaging and Intelligent Processing (OIIP) Lab in the Department of Electrical and Computer Engineering is a laboratory dedicated to the development of novel optical imaging and sensing, signal and image processing algorithms, machine learning and deep learning models for broad applications in biomedical imaging, healthcare, robotics, physical science, and industrial inspection. To learn more about this lab and its ongoing research projects, please visit the lab website.

Partner Universities and Collaborators

SUNY Stony Brook University
University of Connecticut
Hangzhou Dianzi University
Zhejiang University

Selected Publications

Q. Chen, X. Jin, H. Zhu, H. S. Salehi, and K. Wei, “3D Distribution of dental plaque on occlusal surface using 2D-fluorescence-image to 3D-surface registration,” Elsevier Journal of Computers in Biology and Medicine 123, 103860 (2020).
M. M. Murshid and H. S. Salehi, “Electromyography signal analysis with real-time support vector machine,” Proc. SPIE DCS 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX, 1142313 (2020).
J. M. Rathod and H. S. Salehi, “Vision system with deep learning classifiers for automatic quality inspection,” Proc. SPIE DCS 11400, Pattern Recognition and Tracking XXXI, 1140009 (2020).
H. S. Salehi, M. Barchini, and M. Mahdian, “Optimization methods for deep neural networks classifying OCT images to detect dental caries,” Proc. SPIE BIOS 11217, Lasers in Dentistry XXVI, 112170G (2020).
Q. Chen, X. Jin, H. Zhu, and H. S. Salehi, “Classification of pit and fissure for caries risk based on 3D surface morphology analysis of tooth,” Proc. SPIE BIOS 11217, Lasers in Dentistry XXVI, 112170E (2020).
H. S. Salehi and J. D. Schad, “Design and implementation of low-cost linear laser scanning system for photoacoustic imaging,” Proc. SPIE BIOS 11240, Photons Plus Ultrasound: Imaging and Sensing, 112403I (2020).
R. J. Day, H. S. Salehi, and M. Javadi, “IoT Environmental Analyzer using Sensors and Machine Learning for Migraine Occurrence Prevention,” IEEE International Conference on Machine Learning and Applications (ICMLA), Boca Raton, FL, USA, pp. 1460-1465, (2019).
H. S. Salehi, M. Mahdian, M. M. Murshid, S. Judex, and A. Tadinada, “Deep learning-based quantitative analysis of dental caries using optical coherence tomography: an ex vivo study,” Proc. SPIE BIOS 10857, Lasers in Dentistry XXV, 108570H (2019).
A. Morales, H. S. Salehi, and K. Sohn, “IoT Instrument for Heart Monitoring: Interfacing Humans and Robots,” International Journal of Modern Engineering 18(2), 5-12 (2018).