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A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions.

, , , , and . CoRR, (2018)

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A multi-level convolutional LSTM model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images., , , , , , , , and . ISBI, page 470-473. IEEE, (2018)A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions., , , , and . CoRR, (2018)Deep learning-based Segmentation of Rabbit fetal skull with limited and sub-optimal annotations., , , , , , and . CoRR, (2023)Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning., , , and . MICCAI (2), volume 12902 of Lecture Notes in Computer Science, page 13-24. Springer, (2021)Automatic pose correction for image-guided nonhuman primate brain surgery planning., , , , , , , , , and 4 other author(s). Medical Imaging: Image-Guided Procedures, volume 9786 of SPIE Proceedings, page 97860O. SPIE, (2016)Restoration of marker occluded hematoxylin and eosin stained whole slide histology images using generative adversarial networks., , , and . CoRR, (2019)Segmentation of lymph node regions in head-and-neck CT images using a combination of registration and active shape model., , , , and . Medical Imaging: Image Processing, volume 7623 of SPIE Proceedings, page 76231Q. SPIE, (2010)Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM., , , , , , , , and . Medical Imaging: Image Processing, volume 10574 of SPIE Proceedings, page 105740A. SPIE, (2018)Automatic segmentation of structures in CT images for head and neck intensity-modulated radiation therapy.. Vanderbilt University, Nashville, Tennessee, USA, (2012)base-search.net (ftvanderbilt:oai:ir.vanderbilt.edu:1803/13583).Group Equivariant Generative Adversarial Networks., , and . ICLR, OpenReview.net, (2021)