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Spine centerline extraction and efficient spine reading of MRI and CT data.

, , , и . Medical Imaging: Image Processing, том 10574 из SPIE Proceedings, стр. 1057425. SPIE, (2018)

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Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks., , , , , , , , и . BMC Medical Imaging, 21 (1): 69 (2021)Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections., , , , , , , , и . DLMIA/ML-CDS@MICCAI, том 10553 из Lecture Notes in Computer Science, стр. 330-337. Springer, (2017)Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation., , , , , и . IEEE Trans. Medical Imaging, 35 (5): 1229-1239 (2016)Automated detection and segmentation of mediastinal and axillary lymph nodes from CT using foveal fully convolutional networks., , , , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 11314 из SPIE Proceedings, SPIE, (2020)Spine centerline extraction and efficient spine reading of MRI and CT data., , , и . Medical Imaging: Image Processing, том 10574 из SPIE Proceedings, стр. 1057425. SPIE, (2018)Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation., , , , и . MLMI, том 8679 из Lecture Notes in Computer Science, стр. 117-124. Springer, (2014)Manifold Learning of Brain MRIs by Deep Learning., и . MICCAI (2), том 8150 из Lecture Notes in Computer Science, стр. 633-640. Springer, (2013)Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease., , , , , , , и . Medical Image Anal., (2022)Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images., и . Neural Comput., 27 (1): 211-227 (2015)Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis., , , , , , и . LABELS/DLMIA@MICCAI, том 10008 из Lecture Notes in Computer Science, стр. 86-94. (2016)