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Segmentation of low-grade gliomas in MRI: Phase based method., , , , , , , and . ATSIP, page 97-102. IEEE, (2016)Toward the Assessment of Intrinsic Geometry of Implicit Brain MRI Manifolds., , and . IEEE Access, (2021)Towards the definition of a patient-specific rehabilitation program for TKA: A new MRI-based approach for the easy volumetric analysis of thigh muscles *., , , , and . EMBC, page 3141-3144. IEEE, (2021)Semi-automatic muscle segmentation in MR images using deep registration-based label propagation., , , , , , , , and . Pattern Recognit., (August 2023)Automatic three-dimensional detection and volume estimation of low-grade gliomas., , , , , and . Int. J. Imaging Syst. Technol., 31 (3): 1678-1691 (2021)4D in vivo quantification of ankle joint space width using dynamic MRI., , , , , , and . EMBC, page 2115-2118. IEEE, (2019)Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization., , , and . Medical Biol. Eng. Comput., 58 (2): 291-306 (2020)A fast and memory-efficient algorithm for smooth interpolation of polyrigid transformations: application to human joint tracking., , , , , and . CoRR, (2020)EEG Source Imaging by Supervised Learning., , , and . EUSIPCO, page 1170-1174. IEEE, (2023)Segmentation of low-grade gliomas based on the growing region and level sets techniques., , , , and . ATSIP, page 1-5. IEEE, (2018)