Assessment of human exposure to electromagnetic fields: Review and future directions
This article reviews recent standardization activities and scientific studies related to the
assessment of human exposure to electromagnetic fields (EMF). The differences of human …
assessment of human exposure to electromagnetic fields (EMF). The differences of human …
Roadmap: proton therapy physics and biology
H Paganetti, C Beltran, S Both, L Dong… - Physics in Medicine …, 2021 - iopscience.iop.org
The treatment of cancer with proton radiation therapy was first suggested in 1946 followed
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …
Virtual clinical trials in medical imaging: a review
The accelerating complexity and variety of medical imaging devices and methods have
outpaced the ability to evaluate and optimize their design and clinical use. This is a …
outpaced the ability to evaluate and optimize their design and clinical use. This is a …
Nuclear medicine and artificial intelligence: best practices for evaluation (the RELAINCE guidelines)
An important need exists for strategies to perform rigorous objective clinical-task-based
evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need …
evaluation of artificial intelligence (AI) algorithms for nuclear medicine. To address this need …
Criteria for the design of tissue-mimicking phantoms for the standardization of biophotonic instrumentation
A lack of accepted standards and standardized phantoms suitable for the technical
validation of biophotonic instrumentation hinders the reliability and reproducibility of its …
validation of biophotonic instrumentation hinders the reliability and reproducibility of its …
Total body PET: why, how, what for?
PET instruments are now available with a long axial field-of-view (LAFOV) to enable imaging
the total-body, or at least head and torso, simultaneously and without bed translation. This …
the total-body, or at least head and torso, simultaneously and without bed translation. This …
Generating synthetic labeled data from existing anatomical models: an example with echocardiography segmentation
Deep learning can bring time savings and increased reproducibility to medical image
analysis. However, acquiring training data is challenging due to the time-intensive nature of …
analysis. However, acquiring training data is challenging due to the time-intensive nature of …
Credibility assessment of in silico clinical trials for medical devices
In silico clinical trials (ISCTs) are an emerging method in modeling and simulation where
medical interventions are evaluated using computational models of patients. ISCTs have the …
medical interventions are evaluated using computational models of patients. ISCTs have the …
Objective task-based evaluation of artificial intelligence-based medical imaging methods: framework, strategies, and role of the physician
Artificial intelligence (AI)-based methods for medical imaging, and more specifically PET,
hold exciting promise in multiple stages of the imaging–technology–development lifecycle …
hold exciting promise in multiple stages of the imaging–technology–development lifecycle …
A data augmentation pipeline to generate synthetic labeled datasets of 3D echocardiography images using a GAN
Due to privacy issues and limited amount of publicly available labeled datasets in the
domain of medical imaging, we propose an image generation pipeline to synthesize 3D …
domain of medical imaging, we propose an image generation pipeline to synthesize 3D …