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Targeting of deep-brain structures in nonhuman primates using MR and CT Images.

, , , , , , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 9415 of SPIE Proceedings, page 94152K. SPIE, (2015)

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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)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)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)Targeting of deep-brain structures in nonhuman primates using MR and CT Images., , , , , , , , , and 4 other author(s). Medical Imaging: Image-Guided Procedures, volume 9415 of SPIE Proceedings, page 94152K. SPIE, (2015)Comparison of training strategies for the segmentation of retina layers in optical coherence tomography images of rodent eyes using convolutional neural networks., , , , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 1131339. SPIE, (2020)