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03/04/2021
Contrast Adaptive Tissue Classification by Alternating Segmentation and Synthesis
Deep learning approaches to the segmentation of magnetic resonance image...
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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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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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11/17/2018
Alternating Segmentation and Simulation for Contrast Adaptive Tissue Classification
A key feature of magnetic resonance (MR) imaging is its ability to manip...
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07/27/2018
Synthesizing CT from Ultrashort Echo-Time MR Images via Convolutional Neural Networks
With the increasing popularity of PET-MR scanners in clinical applicatio...
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07/27/2018
TBI Contusion Segmentation from MRI using Convolutional Neural Networks
Traumatic brain injury (TBI) is caused by a sudden trauma to the head th...
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04/16/2018
Classifying magnetic resonance image modalities with convolutional neural networks
Magnetic Resonance (MR) imaging allows the acquisition of images with di...
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03/24/2018
