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MRI of kidney size matters
ObjectiveTo highlight progress and opportunities of measuring kidney size with MRI, and to inspire research into resolving the remaining...
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CohortFinder: an open-source tool for data-driven partitioning of digital pathology and imaging cohorts to yield robust machine-learning models
Batch effects (BEs) refer to systematic technical differences in data collection unrelated to biological variations whose noise is shown to...
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Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of glioma histopathology images using artificial intelligence...
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Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images
Label-free autofluorescence lifetime is a unique feature of the inherent fluorescence signals emitted by natural fluorophores in biological samples....
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In vivo organoid growth monitoring by stimulated Raman histology
Patient-derived tumor organoids have emerged as a crucial tool for assessing the efficacy of chemotherapy and conducting preclinical drug screenings....
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Artificial intelligence for neuro MRI acquisition: a review
ObjectTo review recent advances of artificial intelligence (AI) in enhancing the efficiency and throughput of the MRI acquisition workflow in...
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Motion robust coronary MR angiography using zigzag centric ky–kz trajectory and high-resolution deep learning reconstruction
PurposeTo develop a new MR coronary angiography (MRCA) technique by employing a zigzag fan-shaped centric k y – k z k -space trajectory combined with...
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The beating heart: artificial intelligence for cardiovascular application in the clinic
Artificial intelligence (AI) integration in cardiac magnetic resonance imaging presents new and exciting avenues for advancing patient care,...
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Quantitative MRI methods for the assessment of structure, composition, and function of musculoskeletal tissues in basic research and preclinical applications
Osteoarthritis (OA) is a disabling chronic disease involving the gradual degradation of joint structures causing pain and dysfunction. Magnetic...
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PyFaceWipe: a new defacing tool for almost any MRI contrast
Rationale and objectivesDefacing research MRI brain scans is often a mandatory step. With current defacing software, there are issues with Windows...
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Increased [18F]FDG uptake of radiation-induced giant cells: a single-cell study in lung cancer models
Positron emission tomography (PET), a cornerstone in cancer diagnosis and treatment monitoring, relies on the enhanced uptake of fluorodeoxyglucose ([
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Phantoms for Quantitative Body MRI: a review and discussion of the phantom value
In this paper, we review the value of phantoms for body MRI in the context of their uses for quantitative MRI methods research, clinical trials, and...
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s2MRI-ADNet: an interpretable deep learning framework integrating Euclidean-graph representations of Alzheimer’s disease solely from structural MRI
ObjectiveTo establish a multi-dimensional representation solely on structural MRI (sMRI) for early diagnosis of AD.
MethodsA total of 3377...
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Metabolic changes assessed by 1H MR spectroscopy in the corpus callosum of post-COVID patients
ObjectiveMany patients with long COVID experience neurological and psychological symptoms. Signal abnormalities on MR images in the corpus callosum...
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MRI-based virtual pathology of the prostate
Prostate cancer poses significant diagnostic challenges, with conventional methods like prostate-specific antigen (PSA) screening and transrectal...
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Emerging paradigms in microwave imaging technology for biomedical applications: unleashing the power of artificial intelligence
In recent years, microwave imaging (MWI) has emerged as a non-ionizing and cost-effective modality in healthcare, specifically within medical...
