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05/31/2023
Enrichment of the NLST and NSCLC-Radiomics computed tomography collections with AI-derived annotations
Public imaging datasets are critical for the development and evaluation ...
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12/29/2022
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Artificial Intelligence (AI) has become commonplace to solve routine eve...
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02/15/2022
Improving the repeatability of deep learning models with Monte Carlo dropout
The integration of artificial intelligence into clinical workflows requi...
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11/12/2021
Monte Carlo dropout increases model repeatability
The integration of artificial intelligence into clinical workflows requi...
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06/14/2021
Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology
Machine learning is revolutionizing image-based diagnostics in pathology...
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08/19/2020
"Name that manufacturer". Relating image acquisition bias with task complexity when training deep learning models: experiments on head CT
As interest in applying machine learning techniques for medical images c...
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08/11/2018
Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks
The amounts of muscle and fat in a person's body, known as body composit...
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07/03/2017
Temporal HeartNet: Towards Human-Level Automatic Analysis of Fetal Cardiac Screening Video
We present an automatic method to describe clinically useful information...
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03/27/2017
