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3D Kidney Segmentation from CT Images Using a Level Set Approach Guided by a Novel Stochastic Speed Function., , , , , , , , , и . MICCAI (3), том 6893 из Lecture Notes in Computer Science, стр. 587-594. Springer, (2011)Modified Akaike information criterion for estimating the number of components in a probability mixture model., , , и . ICIP, стр. 2497-2500. IEEE, (2012)Accurate modeling of tagged CMR 3D image appearance characteristics to improve cardiac cycle strain estimation., , , , , и . ICIP, стр. 521-524. IEEE, (2012)Automated CAD System for Intermediate Uveitis Grading Using Optical Coherence Tomography Images., , , , , , , , и . ISBI, стр. 1-4. IEEE, (2022)Computer aided detection system for early cancerous pulmonary nodules by optimizing deep learning features., , и . ICSIE, стр. 75-79. ACM, (2019)Breast Cancer Segmentation From Ultrasound Images Using Deep Dual-Decoder Technology With Attention Network., , , и . IEEE Access, (2024)Precision Diagnosis of Autism Through Resting FMRI and Machine Learning., , , , , , , , и . ISBI, стр. 1-4. IEEE, (2024)A new framework for automated segmentation of left ventricle wall from contrast enhanced cardiac magnetic resonance images., , , и . ICIP, стр. 2289-2292. IEEE, (2011)Improving full-cardiac cycle strain estimation from tagged CMR by accurate modeling of 3D image appearance characteristics., , , , , и . ISBI, стр. 462-465. IEEE, (2012)A new framework for automated identification of pathological tissues in contrast enhanced cardiac magnetic resonance images., , , , и . ISBI, стр. 1272-1275. IEEE, (2011)