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Journal of Medical Imaging (Bellingham, Wash.)|October 1, 2020
Algorithm to quantify nuclear features and confidence intervals for classification of oral neoplasia from high-resolution optical imagesEric C Yang, David R Brenes, Imran S Vohra, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 4, 2021
Imposing implicit feasibility constraints on deformable image registration using a statistical generative modelYudi Sang, Xianglei Xing, Yingnian Wu, et al.Journal of Medical Imaging (Bellingham, Wash.)|November 26, 2020
Comprehensive enhanced methodology of an MRI-based automated left-ventricular chamber quantification algorithm and validation in chemotherapy-related cardiotoxicityJulia Kar, Michael V Cohen, Samuel A McQuiston, et al.Journal of Medical Imaging (Bellingham, Wash.)|December 30, 2020
Multispectral tissue mapping: developing a concept for the optical evaluation of liver diseaseCrispin Schneider, Daniil Nikitichev, Wenfeng Xia, et al.Journal of Medical Imaging (Bellingham, Wash.)|December 14, 2020
Reliable phase-contrast flow volume magnetic resonance measurements are feasible without adjustment of the velocity encoding parameterKerstin M Lagerstrand, Frida Svensson, Christian L Polte, et al.Journal of Medical Imaging (Bellingham, Wash.)|September 12, 2022
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networksAditya Killekar, Kajetan Grodecki, Andrew Lin, et al.Journal of Medical Imaging (Bellingham, Wash.)|January 18, 2021
Reconstruction of knee anatomy from single-plane fluoroscopic x-ray based on a nonlinear statistical shape modelJing Wu, Mohamed R MahfouzJournal of Medical Imaging (Bellingham, Wash.)|March 22, 2021
Wide field of view handheld smart fundus camera for telemedicine applicationsDiego R Palacios, Kai Shen, Sarfaraz Baig, et al.Journal of Medical Imaging (Bellingham, Wash.)|December 13, 2021
Medical image alignment based on landmark- and approximate contour-matchingMia Mojica, Mihaela Pop, Mehran EbrahimiJournal of Medical Imaging (Bellingham, Wash.)|December 6, 2021
Deep learning classification of COVID-19 in chest radiographs: performance and influence of supplemental trainingRafael B Fricks, Francesco Ria, Hamid Chalian, et al.Pageof 152