Artificial Intelligence & Machine Learning in Biomedical Optics
Guest Editors: Behrouz Shabestri, Mark A. Anastasio, Baowei Fei, and Frédéric Leblond
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