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Automatic Segmentation of Left Ventricular Myocardium by Deep Convolutional and De-convolutional Neural Networks.

, , , , , and . CinC, www.cinc.org, (2016)

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Geometric Potential Force for the Deformable Model., , , and . BMVC, page 1-11. British Machine Vision Association, (2009)Implicit active contours for N-dimensional biomedical image segmentation.. SMC, page 2855-2860. IEEE, (2012)Level set segmentation with robust image gradient energy and statistical shape prior., , , and . ICIP, page 3397-3400. IEEE, (2011)Automatic Segmentation of Left Ventricular Myocardium by Deep Convolutional and De-convolutional Neural Networks., , , , , and . CinC, www.cinc.org, (2016)Segmentation of Vessel Geometries from Medical Images using GPF Deformable Model., , , and . ICPRAM (1), page 323-332. SciTePress, (2012)ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading., , , , , , , and . CoRR, (2024)A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging., , , , and . Medical Biol. Eng. Comput., 47 (3): 313-322 (2009)Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding., , , , , and . CVPR, page 19001-19012. IEEE, (2022)Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events., , , , , , and . ICCV, page 20156-20166. IEEE, (2023)Skin Lesion Analysis By Multi-Target Deep Neural Networks., , , , , and . EMBC, page 1263-1266. IEEE, (2018)