AIMC Topic: Diagnostic Imaging
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Imaging inside highly scattering media using hybrid deep learning and analytical algorithm.
Journal of biophotonics
Jul 19, 2023
Imaging through highly scattering media is a challenging problem with numerous applications in biomedical and remote-sensing fields. Existing methods that use analytical or deep learning tools are limited by simplified forward models or a requirement...
Enhancing head and neck tumor management with artificial intelligence: Integration and perspectives.
Seminars in cancer biology
Jul 18, 2023
Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate anatomical structure of these regions poses considerable challenges to effi...
The Role of Organized Radiology in Advancing Imaging Artificial Intelligence.
Journal of the American College of Radiology : JACR
Jul 18, 2023
CellSighter: a neural network to classify cells in highly multiplexed images.
Nature communications
Jul 18, 2023
Multiplexed imaging enables measurement of multiple proteins in situ, offering an unprecedented opportunity to chart various cell types and states in tissues. However, cell classification, the task of identifying the type of individual cells, remains...
Artificial Intelligence Has Its Foot on the Gas Pedal-What It Means for Imaging.
Journal of the American College of Radiology : JACR
Jul 17, 2023
Phasor Representation Approach for Rapid Exploratory Analysis of Large Infrared Spectroscopic Imaging Data Sets.
Analytical chemistry
Jul 17, 2023
Infrared (IR) spectroscopic imaging is potentially useful for digital histopathology as it provides spatially resolved molecular absorption spectra, which can subsequently yield useful information by powerful artificial intelligence methods. A typica...
A Patient's Wish List for Imaging Artificial Intelligence (and Radiology).
Journal of the American College of Radiology : JACR
Jul 14, 2023
Implications of predicting race variables from medical images.
Science (New York, N.Y.)
Jul 13, 2023
AI-predicted race variables pose risks and opportunities for studying health disparities.
A patient-specific deep learning framework for 3D motion estimation and volumetric imaging during lung cancer radiotherapy.
Physics in medicine and biology
Jul 10, 2023
. Respiration introduces a constant source of irregular motion that poses a significant challenge for the precise irradiation of thoracic and abdominal cancers. Current real-time motion management strategies require dedicated systems that are not ava...
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.
Journal of digital imaging
Jul 5, 2023
Since 2000, there have been more than 8000 publications on radiology artificial intelligence (AI). AI breakthroughs allow complex tasks to be automated and even performed beyond human capabilities. However, the lack of details on the methods and algo...
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