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11/14/2019
Contrast Phase Classification with a Generative Adversarial Network
Dynamic contrast enhanced computed tomography (CT) is an imaging techniq...
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11/13/2019
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Multiple instance learning (MIL) is a supervised learning methodology th...
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11/13/2019
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution
Confocal histology provides an opportunity to establish intra-voxel fibe...
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08/13/2019
Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning
Generalizability is an important problem in deep neural networks, especi...
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03/28/2019
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles
Detailed whole brain segmentation is an essential quantitative technique...
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03/11/2019
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...
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11/26/2018
Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps
Deep brain stimulation (DBS) has the potential to improve the quality of...
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11/10/2018
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...
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11/09/2018
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks
The findings of splenomegaly, abnormal enlargement of the spleen, is a n...
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10/09/2018
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...
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06/01/2018
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data
Whole brain segmentation on a structural magnetic resonance imaging (MRI...
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01/05/2018
Learning Implicit Brain MRI Manifolds with Deep Learning
An important task in image processing and neuroimaging is to extract qua...
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12/22/2017
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design
When processing large medical imaging studies, adopting high performance...
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12/07/2017
Opportunities for Mining Radiology Archives for Pediatric Control Images
A large database of brain imaging data from healthy, normal controls is ...
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12/02/2017