Dr. Hassan S. Salehi Profile

Dr. Hassan S. Salehi

Associate Professor at California State Univ Chico

SPIE Involvement:

Author

Area of Expertise:

Optical Imaging , Machine Learning, Deep Learning , Signal and Image Processing , Bioinstrumentation , Optical Coherence Tomography (OCT) , Photoacoustic Tomography (PAT)

Websites:

Company Website

Profile Summary

Dr. Hassan S. Salehi is an Associate Professor of Electrical and Computer Engineering at California State University, Chico. He was also a Visiting Professor at Harvard University Medical School in Boston, conducting research on optical imaging and deep learning for disease detection, diagnosis, and monitoring. He is the Director and Founder of the Optical Imaging and Intelligent Processing (OIIP) Lab.

Publications (17)

Proceedings Article | 13 June 2023 Presentation + Paper

Presentation + Paper

Development of GUI-based deep learning and image processing system for legume nodule segmentation and classification

Hassan Salehi, Majd Barchini, Kyle Braiser, Hossein Zakeri

Proceedings Volume 12527, 1252703 (2023) https://doi.org/10.1117/12.2664168

KEYWORDS: Image processing, Deep learning, Image classification, Machine learning, Digital image processing, Image segmentation, Feature extraction

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Proceedings Article | 4 April 2022 Presentation + Paper

Presentation + Paper

Comparison of deep convolutional neural network models with OCT images for dental caries classification

Hassan Salehi, Andreina Granados, Mina Mahdian

Proceedings Volume 12036, 1203613 (2022) https://doi.org/10.1117/12.2613308

KEYWORDS: Optical coherence tomography, Dental caries, Image classification, Data modeling, Neurons, Imaging systems, Feature extraction, Process modeling, Convolutional neural networks

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Proceedings Article | 15 February 2021 Presentation + Paper

Presentation + Paper

Toward development of automated grading system for carious lesions classification using deep learning and OCT imaging

Hassan Salehi, Majd Barchini, Qingguang Chen, Mina Mahdian

Proceedings Volume 11600, 1160014 (2021) https://doi.org/10.1117/12.2581318

KEYWORDS: Imaging systems, Optical coherence tomography, Dental caries, Classification systems, Teeth, Diagnostics, Systems modeling, Image resolution, Receivers, Performance modeling

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Proceedings Article | 18 May 2020 Presentation + Paper

Presentation + Paper

Electromyography signal analysis with real-time support vector machine

Mohammad Manzur Murshid, Hassan Salehi

Proceedings Volume 11423, 1142313 (2020) https://doi.org/10.1117/12.2558962

KEYWORDS: Electromyography, Signal processing, Motion models, Data acquisition, Digital signal processing, Electronic filtering, Sensors, Signal analysis, Signal detection, Machine learning

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Proceedings Article | 29 April 2020 Presentation + Paper

Presentation + Paper

Vision system with deep learning classifiers for automatic quality inspection

Jayesh Rathod, Hassan Salehi

Proceedings Volume 11400, 1140009 (2020) https://doi.org/10.1117/12.2555032

KEYWORDS: Computer aided design, Error analysis, CCD cameras, Imaging systems, Convolution, Inspection, Data acquisition, Image processing, Calibration, Image classification

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Proceedings Article | 19 February 2020 Paper

Paper

Classification of pit and fissure for caries risk based on 3D surface morphology analysis of tooth

Qingguang Chen, Xing Jin, Haihua Zhu, Hassan Salehi

Proceedings Volume 11217, 112170E (2020) https://doi.org/10.1117/12.2544611

KEYWORDS: Teeth, Luminescence, Dental caries, 3D modeling, 3D image processing, Clouds, Cameras, Data modeling, 3D scanning, Image registration

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Tooth surface with pits and fissures is the most prevalent of carious area for suitability of plaque accumulation. Pit and fissure sealing has been proven be effective in preventing and arresting pit-and-fissure occlusal caries lesions of primary and permanent molars in children and adolescents and can greatly affect smooth surface carious lesion reduction. Clinical decision to seal enamel pits and fissures needs to assess caries risk of the tooth. Surface morphology of pit and fissure, judged by dentist’s subjective experience, together with other factors of socioeconomic status of family, dietary habit, caries history, etc, are comprehensively considered. Due to morphological complexity and diversity of tooth surface, the decision lacks objective morphology-based caries-risk assessment of pit and fissure. In the paper, dental plaque-guided evaluation of pit and fissure caries risk based on 3D morphology analysis of occlusal surface is investigated. The 3D point cloud data of tooth surface are obtained from a commercial 3D intra-oral scanner. Pit-andfissure region can be extracted using region growing. Then skeleton of pit and fissure is determined by L1-medial skeleton method. Section profile of pit-and-fissure can then be obtained for morphological analysis. Bearing area curve (BAC) is introduced to evaluate the morphological distribution and five BAC-based parameters are defined as quantitative indices to describe the characteristic of pit-and-fissure morphology. Dental plaque was quantitatively evaluated by image component ratio of fluorescence image. To obtain dental plaque distribution of 3D pit and fissure region, ICP-based contour registration method was proposed to map fluorescence image on 3D occlusal surface. Nonlinear modeling of plaque distribution and morphological feature was explored using RBF neural network. The reported work reveals that 3D morphological parameters can be used as effective predictors for pit and fissure caries risk evaluation.

Proceedings Article | 19 February 2020 Paper

Paper

Optimization methods for deep neural networks classifying OCT images to detect dental caries

Hassan Salehi, Majd Barchini, Mina Mahdian

Proceedings Volume 11217, 112170G (2020) https://doi.org/10.1117/12.2545421

KEYWORDS: Optical coherence tomography, Dental caries, Imaging systems, Data acquisition, Neural networks, Digital signal processing, Image processing, Machine learning

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Proceedings Article | 17 February 2020 Paper

Paper

Design and implementation of low-cost linear laser scanning system for photoacoustic imaging

Hassan Salehi, John Schad

Proceedings Volume 11240, 112403I (2020) https://doi.org/10.1117/12.2547221

KEYWORDS: Laser systems engineering, Laser scanners, Imaging systems, Semiconductor lasers, Photoacoustic imaging, Photoacoustic microscopy, Laser tissue interaction

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Proceedings Article | 28 February 2019 Presentation + Paper

Presentation + Paper

Deep learning-based quantitative analysis of dental caries using optical coherence tomography: an ex vivo study

Hassan Salehi, Mina Mahdian, Mohammad Murshid, Stefan Judex, Aditya Tadinada

Proceedings Volume 10857, 108570H (2019) https://doi.org/10.1117/12.2510076

KEYWORDS: Optical coherence tomography, Dental caries, Teeth, Tissues, Image processing, Tissue optics, Imaging systems, Stochastic processes, Machine learning

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Proceedings Article | 8 February 2018 Presentation + Paper

Presentation + Paper

Deep learning classifier with optical coherence tomography images for early dental caries detection

Nima Karimian, Hassan Salehi, Mina Mahdian, Hisham Alnajjar, Aditya Tadinada

Proceedings Volume 10473, 1047304 (2018) https://doi.org/10.1117/12.2291088

KEYWORDS: Optical coherence tomography, Tissues, Dental caries, Image processing, Tissue optics, Image classification, Convolutional neural networks, Image processing algorithms and systems, Image analysis, Clinical research

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Proceedings Article | 8 February 2017 Presentation + Paper

Presentation + Paper

Characterization of human oral tissues based on quantitative analysis of optical coherence tomography images

Hassan Salehi, Ali Kosa, Mina Mahdian, Saeid Moslehpour, Hisham Alnajjar, Aditya Tadinada

Proceedings Volume 10044, 1004406 (2017) https://doi.org/10.1117/12.2253362

KEYWORDS: Optical coherence tomography, Tissues, Tissue optics, Bone, Imaging systems, Quantitative analysis, Dentistry, Image processing, Ranging, Feature extraction, Radon transform, Spatial frequencies, Fourier transforms, Diagnostics

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SPIE Journal Paper | 18 April 2016 Open Access

Open Access

Coregistered photoacoustic and ultrasound imaging and classification of ovarian cancer: ex vivo and in vivo studies

Hassan Salehi, Hai Li, Alex Merkulov, Patrick Kumavor, Hamed Vavadi, Melinda Sanders, Angela Kueck, Molly Brewer, Quing Zhu

JBO, Vol. 21, Issue 04, 046006, (April 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.4.046006

KEYWORDS: Acquisition tracking and pointing, Ovary, In vivo imaging, Ovarian cancer, Photoacoustic spectroscopy, Ultrasonography, Tissues, Spatial filters, Feature extraction, Imaging systems

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Proceedings Article | 15 March 2016 Paper

Paper

Improvement and evaluation of a low-cost laser diode photoacoustic microscopy system for ovarian tissue imaging

Mohsen Erfanzadeh, Hassan Salehi, Patrick Kumavor, Quing Zhu

Proceedings Volume 9708, 97083I (2016) https://doi.org/10.1117/12.2208943

KEYWORDS: Imaging systems, Semiconductor lasers, Photoacoustic microscopy, Tissue optics, Aspheric lenses, Signal to noise ratio, Tissues, Laser tissue interaction, Laser sources, Collimation, Ovary, Ear, Blood

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Proceedings Article | 11 March 2015 Paper

Paper

A compact and cost-efficient photoacoustic microscopy system with a pulsed laser diode excitation

Tianheng Wang, Sreyankar Nandy, Hassan Salehi, Patrick Kumavor, Quing Zhu

Proceedings Volume 9323, 932340 (2015) https://doi.org/10.1117/12.2076103

KEYWORDS: Semiconductor lasers, Ear, Blood, Photoacoustic microscopy, Biomedical optics, Laser systems engineering, Laser development, Laser tissue interaction, Transducers, Photoacoustic imaging

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Proceedings Article | 11 March 2015 Paper

Paper

Wavelength optimization for in vivo multispectral photoacoustic/ultrasound tomography of hemoglobin oxygenation in ovarian cancer: clinical studies

Hassan Salehi, Hai Li, Patrick Kumavor, Aleksey Merkulov, Melinda Sanders, Molly Brewer, Quing Zhu

Proceedings Volume 9323, 932303 (2015) https://doi.org/10.1117/12.2080385

KEYWORDS: In vivo imaging, Oxygen, Photoacoustic spectroscopy, Ovarian cancer, Tumors, Ovary, Ultrasonography, Imaging systems, Acquisition tracking and pointing, Tomography

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Proceedings Article | 6 March 2015 Paper

Paper

Estimation of elastic parameters of ovarian tissue using phase stabilized swept source optical-coherence tomography

Sreyankar Nandy, Tianheng Wang, Hassan Salehi, Melinda Sanders, Molly Brewer, Quing Zhu

Proceedings Volume 9327, 93270D (2015) https://doi.org/10.1117/12.2080202

KEYWORDS: Tissues, Tissue optics, Optical coherence tomography, Ovary, Elastography, Transducers, Optical tomography, Tomography, Coherence (optics), Collagen

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Proceedings Article | 3 March 2014 Paper

Paper

High-throughput fiber-array transvaginal ultrasound/photoacoustic probe for ovarian cancer imaging

Hassan Salehi, Patrick Kumavor, Umar Alqasemi, Hai Li, Tianheng Wang, Quing Zhu

Proceedings Volume 8943, 894335 (2014) https://doi.org/10.1117/12.2037082

KEYWORDS: Ultrasonography, Transducers, Ovarian cancer, Optical fibers, Computer simulations, Tissue optics, Aluminum, Zemax, Photoacoustic imaging, Photoacoustic spectroscopy

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Showing 5 of 17 publications

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