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09/15/2023
Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations
We introduce MHVAE, a deep hierarchical variational auto-encoder (VAE) t...
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06/11/2023
Gamified Crowdsourcing as a Novel Approach to Lung Ultrasound Dataset Labeling
Study Objective: Machine learning models have advanced medical image pro...
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10/24/2020
PEP: Parameter Ensembling by Perturbation
Ensembling is now recognized as an effective approach for increasing the...
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11/29/2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
Fully convolutional neural networks (FCNs), and in particular U-Nets, ha...
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12/31/2018
Deep Information Theoretic Registration
This paper establishes an information theoretic framework for deep metri...
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04/04/2018
Semi-Supervised Deep Metrics for Image Registration
Deep metrics have been shown effective as similarity measures in multi-m...
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05/18/2017
Model-based Catheter Segmentation in MRI-images
Accurate and reliable segmentation of catheters in MR-gui- ded intervent...
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02/25/2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Magnetic Resonance Imaging (MRI) is widely used in routine clinical diag...
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01/10/2013
3T MR-Guided Brachytherapy for Gynecologic Malignancies
Gynecologic malignancies are a leading cause of death in women worldwide...
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12/12/2012
Pituitary Adenoma Volumetry with 3D Slicer
In this study, we present pituitary adenoma volumetry using the free and...
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05/30/2012