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Journal of Medical Imaging (Bellingham, Wash.)|January 11, 2021
Instance segmentation for whole slide imaging: end-to-end or detect-then-segmentAadarsh Jha, Haichun Yang, Ruining Deng, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 14, 2022
Brief photographic history of the SPIE medical imaging meetingsKenneth M Hanson
Journal of Medical Imaging (Bellingham, Wash.)|June 1, 2017
Toward real-time quantification of fluorescence molecular probes using target/background ratio for guiding biopsy and endoscopic therapy of esophageal neoplasiaYang Jiang, Yuanzheng Gong, Joel H Rubenstein, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 1, 2017
Assistive lesion-emphasis system: an assistive system for fundus image readersSamrudhdhi B Rangrej, Jayanthi Sivaswamy
Journal of Medical Imaging (Bellingham, Wash.)|September 10, 2016
Development and validation of a segmentation-free polyenergetic algorithm for dynamic perfusion computed tomographyYuan Lin, Ehsan Samei
Journal of Medical Imaging (Bellingham, Wash.)|September 10, 2016
Quantification of sun-related changes in the eye in conjunctival ultraviolet autofluorescence imagesEmily Huynh, Danuta M Bukowska, Seyhan Yazar, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 21, 2017
Detection of prostate cancer in multiparametric MRI using random forest with instance weightingNathan Lay, Yohannes Tsehay, Matthew D Greer, et al.
Journal of Medical Imaging (Bellingham, Wash.)|June 21, 2017
Evaluation of a high-resolution patient-specific model of the electrically stimulated cochleaAhmet Cakir, Robert T Dwyer, Jack H Noble
Journal of Medical Imaging (Bellingham, Wash.)|June 21, 2017
Bayesian framework inspired no-reference region-of-interest quality measure for brain MRI imagesMichael Osadebey, Marius Pedersen, Douglas Arnold, et al.
Journal of Medical Imaging (Bellingham, Wash.)|February 2, 2022
Evaluation of motion artifacts in brain magnetic resonance images using convolutional neural network-based prediction of full-reference image quality assessment metricsHajime Sagawa, Koji Itagaki, Tatsuhiko Matsushita, et al.
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