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06/18/2023
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge
Among all the sub-sections in a typical radiology report, the Clinical I...
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01/04/2022
Self-supervised Learning from 100 Million Medical Images
Building accurate and robust artificial intelligence systems for medical...
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08/13/2020
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digita
Purpose: To leverage volumetric quantification of airspace disease (AD) ...
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07/08/2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
The interpretation of medical images is a challenging task, often compli...
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08/20/2019
Communal Domain Learning for Registration in Drifted Image Spaces
Designing a registration framework for images that do not share the same...
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12/26/2018
Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection
State-of-the-art methods for object detection use region proposal networ...
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07/11/2018
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning
Computer-aided diagnosis (CAD) techniques for lung field segmentation fr...
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07/11/2014
Optimally Stabilized PET Image Denoising Using Trilateral Filtering
Low-resolution and signal-dependent noise distribution in positron emiss...
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07/11/2014
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation
Accurate delineation of pathological lungs from computed tomography (CT)...
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07/11/2014
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans
Accurate and fast extraction of lung volumes from computed tomography (C...
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07/09/2014
A Statistical Modeling Approach to Computer-Aided Quantification of Dental Biofilm
Biofilm is a formation of microbial material on tooth substrata. Several...
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07/03/2014
