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Bladder Wall Segmentation in MRI Images via Deep Learning and Anatomical Constraints.

, , , and . EMBC, page 1629-1632. IEEE, (2020)

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A new design in iterative image deblurring for improved robustness and performance., , , , , , , and . Pattern Recognit., (2019)A neural network approach to segment brain blood vessels in digital subtraction angiography., , , , , , and . Comput. Methods Programs Biomed., (2020)COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19., , , , , , and . CoRR, (2020)A Coarse-to-Fine Framework for Head and Neck Tumor Segmentation in CT and PET Images., , and . HECKTOR@MICCAI, volume 13209 of Lecture Notes in Computer Science, page 50-57. Springer, (2021)Neighbor Matching for Semi-supervised Learning., , , , and . MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 439-449. Springer, (2021)A Coarse-to-Fine Framework for the 2021 Kidney and Kidney Tumor Segmentation Challenge., , and . KiTS@MICCAI, volume 13168 of Lecture Notes in Computer Science, page 53-58. Springer, (2021)Center-Sensitive and Boundary-Aware Tooth Instance Segmentation and Classification from Cone-Beam CT., , , , , and . ISBI, page 939-942. IEEE, (2020)Segmentation of Thoracic Organs at Risk in CT Images Combining Coarse and Fine Network., , , and . SegTHOR@ISBI, volume 2349 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation., , , , , , , , , and 17 other author(s). IEEE Trans. Medical Imaging, 42 (12): 3956-3971 (December 2023)COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment., , , , , , and . Pattern Recognit., (2022)