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Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation
Active learning is a unique abstraction of machine learning techniques w...
01/07/2021 ∙ by Vishwesh Nath, et al. ∙
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The Value of Nullspace Tuning Using Partial Label Information
In semi-supervised learning, information from unlabeled examples is used...
03/17/2020 ∙ by Colin B. Hansen, et al. ∙
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Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI
Diffusion-weighted magnetic resonance imaging (DW-MRI) is the only non-i...
02/20/2020 ∙ by Vishwesh Nath, et al. ∙
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Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution
Confocal histology provides an opportunity to establish intra-voxel fibe...
11/13/2019 ∙ by Vishwesh Nath, et al. ∙
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Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE
Abstract. Intra-voxel models of the diffusion signal are essential for i...
07/15/2019 ∙ by Vishwesh Nath, et al. ∙
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Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury
Machine learning models are becoming commonplace in the domain of medica...
03/11/2019 ∙ by Samuel Remedios, et al. ∙
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Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning
Coronary artery calcium (CAC) is biomarker of advanced subclinical coron...
11/10/2018 ∙ by Yuankai Huo, et al. ∙
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Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning
Diffusion-weighted magnetic resonance imaging (DW-MRI) allows for non-in...
10/09/2018 ∙ by Vishwesh Nath, et al. ∙
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