Artificial Intelligence & Machine Learning in Biomedical Optics

Guest Editors: Behrouz Shabestri, Mark A. Anastasio, Baowei Fei, and Frédéric Leblond

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The Special Section on Artificial Intelligence & Machine Learning in Biomedical Optics published as a series throughout JBO Volumes 25-26 (2020-2021). The articles are collected here.

Special Series Guest Editorial: Artificial Intelligence and Machine Learning in Biomedical Optics

Behrouz Shabestari, Mark A. Anastasio, Baowei Fei, and Frédéric Leblond

Unbiased corneal tissue analysis using Gabor-domain optical coherence microscopy and machine learning for automatic segmentation of corneal endothelial cells

Cristina Canavesi, Andrea Cogliati, and Holly B. Hindman

Deep learning in photoacoustic tomography: current approaches and future directions

Andreas Hauptmann and Ben T. Cox

Applications of compressive sensing in spatial frequency domain imaging

Ben O. L. Mellors, Alexander Bentley, Abigail M. Spear, Christopher R. Howle, and Hamid Dehghani

Machine learning for direct oxygen saturation and hemoglobin concentration assessment using diffuse reflectance spectroscopy

Ingemar Fredriksson, Marcus Larsson, and Tomas Strömberg

Deep learning-level melanoma detection by interpretable machine learning and imaging biomarker cues

Daniel S. Gareau, James Browning, Joel Correa Da Rosa, Mayte Suarez-Farinas, Samantha Lish , Amanda M. Zong, Benjamin Firester, Charles Vrattos, Yael Renert-Yuval, Mauricio Gamboa, María G. Vallone, Zamira F. Barragán-Estudillo, Alejandra L. Tamez-Peña, Javier Montoya, Miriam A. Jesús-Silva, Cristina Carrera, Josep Malvehy, Susana Puig, Ashfaq Marghoob, John A. Carucci, and James G. Krueger

Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning

Mason T. Chen and Nicholas J. Durr

Domain adaptation for robust workload level alignment between sessions and subjects using fNIRS

Boyang Lyu, Thao Pham, Giles Blaney, Zachary Haga, Angelo Sassaroli, Sergio Fantini, and Shuchin Aeron

FLIM data analysis based on Laguerre polynomial decomposition and machine-learning

Shuxia Guo, Anja Silge, Hyeonsoo Bae, Tatiana Tolstik, Tobias Meyer, Georg Matziolis, Michael Schmitt, Jürgen Popp, and Thomas Bocklitz

Quantifying the effects of biopsy fixation and staining panel design on automatic instance segmentation of immune cells in human lupus nephritis

Madeleine S. Durkee, Rebecca Abraham, Junting Ai, Margaret Veselits, Marcus R. Clark, and Maryellen L. Giger

Handheld macroscopic Raman spectroscopy imaging instrument for machine-learning-based molecular tissue margins characterization

François Daoust, Tien Nguyen, Patrick Orsini, Jacques Bismuth, Marie-Maude de Denus-Baillargeon, Israel Veilleux, Alexandre Wetter, Philippe McKoy, Isabelle Dicaire, Maroun Massabki, Kevin Petrecca, and Frédéric Leblond

Machine learning to extract physiological parameters from multispectral diffuse reflectance spectroscopy

Mayna H. Nguyen, Yao Zhang, Frank Wang, Jose De La Garza Evia Linan, Mia K. Markey, and James W. Tunnell

Human embryonic stem cell classification: random network with autoencoded feature extractor

Benjamin Guan, Bir Bhanu, Rajkumar Theagarajan, Hengyue Liu, Prue Talbot, and Nikki Weng


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