Dr. Joel S. Beckett Profile

Dr. Joel S. Beckett

at Univ of California Los Angeles

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 3 April 2023 Poster + Paper

Segmentation and identification of fatty infiltration of the erector spinae using deep learning

Anshul Ratnaparkhi, Bilwaj Gaonkar, Azim Laiwalla, Elliot Berdy, Matiar Jafari, Abhinav Suri, David Zarrin, Kirstin Cook, Bayard Wilson, Luke Macyszyn, Joel Beckett

Proceedings Volume 12464, 124642R (2023) https://doi.org/10.1117/12.2654127

KEYWORDS: Muscles, Image segmentation, Surgery, Spine, Deep learning, Adipose tissue, Magnetic resonance imaging, Fuzzy logic, Machine learning, Neurosurgery

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Proceedings Article | 4 April 2022 Presentation + Paper

A deep network ensemble for segmentation of cervical spinal cord and neural foramina

David Zarrin, Anshul Ratnaparkhi, Bayard Wilson, Kirstin Cook, Ien Li, Azim Laiwalla, Mark Attiah, Joel Beckett, Bilwaj Gaonkar, Luke Macyszyn

Proceedings Volume 12033, 1203319 (2022) https://doi.org/10.1117/12.2611643

KEYWORDS: Image segmentation, Spine, Spinal cord, Magnetic resonance imaging, Medical imaging, Pathology, Machine learning, Medical research, Picture Archiving and Communication System

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Proceedings Article | 4 April 2022 Presentation + Paper

Ensembling mitigates scanner effects in deep learning medical image segmentation with deep-U-Nets

Anshul Ratnaparkhi, Bilwaj Gaonkar, David Zarrin, Ien Li, Kirstin Cook, Azim Laiwalla, Bayard Wilson, Mark Attiah, Christine Ahn, Diane Villaroman, Bryan Yoo, Banafsheh Salehi, Joel Beckett, Luke Macyszyn

Proceedings Volume 12033, 120330I (2022) https://doi.org/10.1117/12.2611609

KEYWORDS: Scanners, Image segmentation, Data acquisition, Magnetic resonance imaging, Evolutionary algorithms, Medical imaging, Image processing algorithms and systems, Data modeling, Artificial intelligence, Medicine

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Proceedings Article | 3 March 2017 Paper

Automatic vertebral bodies detection of x-ray images using invariant multiscale template matching

Mona Sharifi Sarabi, Diane Villaroman, Joel Beckett, Mark Attiah, Logan Marcus, Christine Ahn, Diana Babayan, Bilwaj Gaonkar, Luke Macyszyn, Cauligi Raghavendra

Proceedings Volume 10134, 1013447 (2017) https://doi.org/10.1117/12.2254582

KEYWORDS: X-rays, Pathology, Image segmentation, Spine, X-ray imaging, Medical imaging, Magnetic resonance imaging, 3D modeling, Computed tomography, X-ray detectors, Detector development

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