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Dynamically constructed network with error correction for accurate ventricle volume estimation., , , , , , , and . Medical Image Anal., (2020)Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography., , , and . MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 35-44. Springer, (2020)Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images., , and . IEEE Trans. Med. Imaging, 37 (8): 1943-1954 (2018)In Silico Investigation of Spontaneous Calcium Release on Premature Ventricular Contractions in Human Ventricles., , , and . CinC, www.cinc.org, (2016)Flexible ConvNext Block Based Multi-task Learning Framework for Liver MRI Images Analysis., , , , , , and . BIBM, page 2119-2126. IEEE, (2022)Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle., , , , , and . CinC, page 1-5. IEEE, (2019)A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on Cardiac Magnetic Resonance., , , , and . CinC, page 1-4. www.cinc.org, (2018)VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination., , , , , , , and . MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 622-629. Springer, (2018)A contrastive consistency semi-supervised left atrium segmentation model., , , , and . Comput. Medical Imaging Graph., (2022)Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge., , , , , , , , , and 13 other author(s). Medical Image Anal., (2022)