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Proceedings of Spie--The International Society for Optical Engineering|July 5, 2022
Development of a real-time spectral imaging system using in-site micro-LED-based illumination and high-speed micro-camera for endoscopic applicationsNaeeme Modir, Maysam Shahedi, James Dormer, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 16, 2023
Deep Learning-based Deformable Registration of Dynamic Contrast-Enhanced MR Images of the KidneyJames Huang, Junyu Guo, Ivan Pedrosa, et al.
Proceedings of Spie--The International Society for Optical Engineering|November 27, 2014
Breast Tissue Classification in Digital Tomosynthesis Images Based on Global Gradient Minimization and Texture FeaturesXulei Qin, Guolan Lu, Ioannis Sechopoulos, et al.
Journal of Biomedical Optics|May 11, 2021
Special Series Guest Editorial: Artificial Intelligence and Machine Learning in Biomedical OpticsBehrouz Shabestri, Mark A Anastasio, Baowei Fei, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 14, 2025
Harnessing chemically crosslinked microbubble clusters using deep learning for ultrasound contrast imagingTeja Pathour, Ghazal Rastegar, Shashank R Sirsi, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 2, 2020
Incorporating minimal user input into deep learning based image segmentationMaysam Shahedi, Martin Halicek, James D Dormer, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 16, 2023
An Augmented Reality-Assisted Visualization System for Potential Applications in Prostate BiopsyPatric Bettati, James D Dormer, Maysam Shahedi, et al.
Proceedings of Spie--The International Society for Optical Engineering|September 18, 2018
A new method to quantify fiber orientation similarity in registered volumesJames Dormer, Rong Jiang, Mary B Wagner, et al.
Proceedings of Spie--The International Society for Optical Engineering|October 20, 2025
Optimization of Transfer Learning of Foundation Models for Hyperspectral Histologic ImagingMichael D Hellman, Ling Ma, James Yu, et al.
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