Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods-Reference-Cited by-同舟云学术

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Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods

Published:2021-10 Issue:4 Volume:16 Page:493-511
ISSN:1556-8598
Container-title:PET Clinics
language:en
Short-container-title:PET Clinics

Author:

Jha Abhinav K.,Myers Kyle J.,Obuchowski Nancy A.,Liu Ziping,Rahman Md Ashequr,Saboury Babak,Rahmim Arman,Siegel Barry A.

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine,Radiation

Reference112 articles.

1. The promise of artificial intelligence and deep learning in PET and SPECT imaging;Arabi;Phys Med,2021

2. A deep learning model to predict a diagnosis of Alzheimer disease by using (18)F-FDG PET of the brain;Ding;Radiology,2019

3. Deep learning for PET image reconstruction;Reader;IEEE Trans Radiat Plasma Med Sci,2021

4. Proposed regulatory framework for modifications to artificial intelligence/Machine learning (AI/ML)-based software as a medical Device (SaMD),2019

5. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: a cross-sectional study;Zech;Plos Med,2018

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2. ISIT-QA: In Silico Imaging Trial to Evaluate a Low-Count Quantitative SPECT Method Across Multiple Scanner–Collimator Configurations for²²³Ra-Based Radiopharmaceutical Therapies;Journal of Nuclear Medicine;2024-04-04

3. DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-04

4. Need for Objective Task-Based Evaluation of Image Segmentation Algorithms for Quantitative PET: A Study with ACRIN 6668/RTOG 0235 Multicenter Clinical Trial Data;Journal of Nuclear Medicine;2024-02-15

5. Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation;Radiology: Artificial Intelligence;2024-01-01

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