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A Markov random field approach to group-wise registration/mosaicing with application to ultrasound., and . Medical Image Anal., 24 (1): 106-124 (2015)3D seam selection techniques with application to improved ultrasound mosaicing., and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866949. SPIE, (2013)On Rejecting Low Quality Images to Improve Deep Smartphone Wound Assessment., , , , , and . ICMLA, page 2113-2118. IEEE, (2023)Generation of 3D Ultrasound Training Volumes from Freehand Acquired Data., and . MMVR, volume 173 of Studies in Health Technology and Informatics, page 238-244. IOS Press, (2012)Wound image analysis system for diabetics., , , , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 866924. SPIE, (2013)Do Novice and Expert Users of Clinical Decision Support Tools Need Different Explanations?, , , , , , , and . AMCIS, Association for Information Systems, (2020)Semantic Segmentation of Smartphone Wound Images: Comparative Analysis of AHRF and CNN-Based Approaches., , , , , , , , and . IEEE Access, (2020)HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion., , , , , and . MIUA, volume 12722 of Lecture Notes in Computer Science, page 307-321. Springer, (2021)Design Implications of User Experience Studies: The Case of a Diabetes Wellness App., , , , , , and . HICSS, page 3473-3482. IEEE Computer Society, (2016)Personal Low-Cost Ultrasound Training System., and . MMVR, volume 173 of Studies in Health Technology and Informatics, page 344-348. IOS Press, (2012)