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05/17/2023
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration Problems
Uncertainty quantification for inverse problems in imaging has drawn muc...
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11/28/2022
What's Behind the Mask: Estimating Uncertainty in Image-to-Image Problems
Estimating uncertainty in image-to-image networks is an important task, ...
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09/27/2022
RepsNet: Combining Vision with Language for Automated Medical Reports
Writing reports by analyzing medical images is error-prone for inexperie...
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09/29/2020
Learning an optimal PSF-pair for ultra-dense 3D localization microscopy
A long-standing challenge in multiple-particle-tracking is the accurate ...
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06/27/2020
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification
Generating training examples for supervised tasks is a long sought after...
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01/23/2020
Detecting Deficient Coverage in Colonoscopies
Colorectal Cancer (CRC) is a global health problem, resulting in 900K de...
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10/20/2019
Detecting muscle activation using ultrasound speed of sound inversion with deep learning
Functional muscle imaging is essential for diagnostics of a multitude of...
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09/19/2019
Localization with Limited Annotation
Localization of an object within an image is a common task in medical im...
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09/30/2018
A Deep learning framework for Single sided sound speed inversion in medical ultrasound
Ultrasound elastography is gaining traction as an accessible and useful ...
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05/31/2018
Deep Energy: Using Energy Functions for Unsupervised Training of DNNs
The success of deep learning has been due in no small part to the availa...
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05/24/2018
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
We present SOSELETO (SOurce SELEction for Target Optimization), a new me...
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12/04/2015