[HTML][HTML] Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools
The vast amount of data produced by today's medical imaging systems has led medical
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
professionals to turn to novel technologies in order to efficiently handle their data and exploit …
AAPM task group report 273: recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Rapid advances in artificial intelligence (AI) and machine learning, and specifically in deep
learning (DL) techniques, have enabled broad application of these methods in health care …
learning (DL) techniques, have enabled broad application of these methods in health care …
[HTML][HTML] Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic
Abstract Background and aims Artificial Intelligence (AI) shows extensive capabilities to
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …
Virtual clinical trials in medical imaging system evaluation and optimisation
Virtual clinical trials (VCTs) can be used to evaluate and optimise medical imaging systems.
VCTs are based on computer simulations of human anatomy, imaging modalities and image …
VCTs are based on computer simulations of human anatomy, imaging modalities and image …
A scanner-specific framework for simulating CT images with tube current modulation
Although tube current modulation (TCM) is routinely implemented in modern computed
tomography (CT) scans, no existing CT simulator is capable of generating realistic images …
tomography (CT) scans, no existing CT simulator is capable of generating realistic images …
fastCAT: Fast cone beam CT (CBCT) simulation
J O'Connell, M Bazalova‐Carter - Medical Physics, 2021 - Wiley Online Library
Purpose To develop fastCAT, a fast cone‐beam computed tomography (CBCT) simulator.
fastCAT uses pre‐calculated Monte Carlo (MC) CBCT phantom‐specific scatter and detector …
fastCAT uses pre‐calculated Monte Carlo (MC) CBCT phantom‐specific scatter and detector …
Data diversity and virtual imaging in AI-based diagnosis: A case study based on COVID-19
FI Tushar, L Dahal, S Sotoudeh-Paima, E Abadi… - arXiv preprint arXiv …, 2023 - arxiv.org
Many studies have investigated deep-learning-based artificial intelligence (AI) models for
medical imaging diagnosis of the novel coronavirus (COVID-19), with many reports of near …
medical imaging diagnosis of the novel coronavirus (COVID-19), with many reports of near …
Virtual NLST: towards replicating national lung screening trial
FI Tushar, L Vancoillie, C McCabe… - … 2024: Physics of …, 2024 - spiedigitallibrary.org
Virtual Imaging Trials, known as VITs, provide a computational substitute for clinical trials.
These traditional trials tend to be sluggish, costly, and frequently deficient in definitive …
These traditional trials tend to be sluggish, costly, and frequently deficient in definitive …
COPD quantifications via CT imaging: ascertaining the effects of acquisition protocol using virtual imaging trial
COPD is the fourth leading cause of death in the United States. The structural and functional
attributes of this disease can be assessed in vivo using computed tomography (CT). The …
attributes of this disease can be assessed in vivo using computed tomography (CT). The …
Virtual vs. reality: external validation of COVID-19 classifiers using XCAT phantoms for chest computed tomography
Research studies of artificial intelligence models in medical imaging have been hampered
by poor generalization. This problem has been especially concerning over the last year with …
by poor generalization. This problem has been especially concerning over the last year with …