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Journal of Medical Imaging (Bellingham, Wash.)|July 25, 2019
Systematic analysis of bias and variability of texture measurements in computed tomographyMarthony Robins, Justin Solomon, Jocelyn Hoye, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 25, 2019
Benchmarking Wilms' tumor in multisequence MRI data: why does current clinical practice fail? Which popular segmentation algorithms perform well?Sabine Müller, Iva Farag, Joachim Weickert, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 20, 2019
Deep learning with mixed supervision for brain tumor segmentationPawel Mlynarski, Hervé Delingette, Antonio Criminisi, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 2, 2019
Fluid-attenuated inversion recovery MRI synthesis from multisequence MRI using three-dimensional fully convolutional networks for multiple sclerosisWen Wei, Emilie Poirion, Benedetta Bodini, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Interchangeability between real and three-dimensional simulated lung tumors in computed tomography: an interalgorithm volumetry studyMarthony Robins, Justin Solomon, Jocelyn Hoye, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Overcoming detector limitations of x-ray photon counting for preclinical microcomputed tomographyMatthew Holbrook, Darin P Clark, Cristian T Badea
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Classification of suspicious lesions on prostate multiparametric MRI using machine learningDeukwoo Kwon, Isildinha M Reis, Adrian L Breto, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
In-vivo Barrett's esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopyNoha Ghatwary, Amr Ahmed, Enrico Grisan, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Soft tissue elastography via shearing interferometryDominic Buchta, Hüseyin Serbes, Daniel Claus, et al.
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