AIMC Topic: Deep Learning

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Optimising window size of semantic of classification model for identification of in-text citations based on context and intent.

PloS one Mar 24, 2025
Citations in scientific literature act as channels for the sharing, transfer, and development of scientific knowledge. However, not all citations hold the same significance. Numerous taxonomies and machine learning models have been developed to analy...
Natural Language Processing Humans Semantics Machine Learning Deep Learning
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Technical implications of a novel deep learning system in the segmentation and evaluation of computed tomography angiography before transcatheter aortic valve replacement.

Therapeutic advances in cardiovascular disease Mar 24, 2025
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the segmentation results from the Cvpilot, 3mensio, and Volume Viewer systems to explore the practicability of the Cvpilot system in the automatic segmentat...
Radiographic Image Interpretation, Computer-Assisted Multidetector Computed Tomography Computed Tomography Angiography Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Retrospective Studies Transcatheter Aortic Valve Replacement Female Humans Aortography Reproducibility of Results Male Aged Deep Learning Aged, 80 and over
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Development and validation of pan-cancer lesion segmentation AI-model for whole-body 18F-FDG PET/CT in diverse clinical cohorts.

Computers in biology and medicine Mar 23, 2025
BACKGROUND: This study develops a deep learning-based automated lesion segmentation model for whole-body 3DF-fluorodeoxyglucose (FDG)-Position emission tomography (PET) with computed tomography (CT) images agnostic to disease location and site.
Humans Female Neoplasms Deep Learning Adolescent Cohort Studies Adult Male Middle Aged Fluorodeoxyglucose F18 Whole Body Imaging Child Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography
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Food Freshness Prediction Platform Utilizing Deep Learning-Based Multimodal Sensor Fusion of Volatile Organic Compounds and Moisture Distribution.

ACS sensors Mar 23, 2025
Various sensing methods have been developed for food spoilage research, but in practical applications, the accuracy of these methods is frequently constrained by the limitation of single-source data and challenges in cross-validating multimodal data....
Deep Learning Animals Water Spectrum Analysis, Raman Cattle Volatile Organic Compounds
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Robust DEEP heterogeneous ensemble and META-learning for honey authentication.

Food chemistry Mar 22, 2025
Food fraud raises significant concerns to consumer health and economic integrity, with the adulteration of honey by sugary syrups representing one of the most prevalent forms of economically motivated adulteration. This study presents a novel framewo...
Food Contamination Saccharum Honey Deep Learning
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Simultaneous detection of citrus internal quality attributes using near-infrared spectroscopy and hyperspectral imaging with multi-task deep learning and instrumental transfer learning.

Food chemistry Mar 22, 2025
Simultaneous determination of multiple quality attributes of citrus fruits using hyperspectral imaging (HSI) and near-infrared (NIR) spectroscopy and successfully transferring the models among different instruments are two main challenges. In this st...
Neural Networks, Computer Spectroscopy, Near-Infrared Deep Learning Hyperspectral Imaging Citrus Fruit Quality Control
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A longitudinal observational study with ecological momentary assessment and deep learning to predict non-prescribed opioid use, treatment retention, and medication nonadherence among persons receiving medication treatment for opioid use disorder.

Journal of substance use and addiction treatment Mar 22, 2025
BACKGROUND: Despite effective treatments for opioid use disorder (OUD), relapse and treatment drop-out diminish their efficacy, increasing the risks of adverse outcomes, including death. Predicting important outcomes, including non-prescribed opioid ...
Ecological Momentary Assessment Analgesics, Opioid Opioid-Related Disorders Opiate Substitution Treatment Female Adult Male Medication Adherence Longitudinal Studies Middle Aged Deep Learning Humans Electronic Health Records
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An interpretable deep-learning approach to detect biomarkers in anxious-depressed symptoms from prefrontal fNIRS signals during an autobiographical memory test.

Asian journal of psychiatry Mar 22, 2025
BACKGROUND: Individuals with anxious-depressed (AD) symptoms have more severe mood disorders and cognitive impairment than those with non-anxious depression (NAD) symptoms. Therefore, it is important to clarify the underlying neurophysiology of these...
Depressive Disorder Functional Neuroimaging Depression Memory, Episodic Male Middle Aged Anxiety Prefrontal Cortex Deep Learning Anxiety Disorders Young Adult Humans Spectroscopy, Near-Infrared Adult Biomarkers Sensitivity and Specificity Female
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Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma.

EBioMedicine Mar 22, 2025
BACKGROUND: We aim to predict outcomes of human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPSCC), a subtype of head and neck cancer characterized with improved clinical outcome and better response to therapy. Pathology an...
Aged Adult Male Middle Aged Tomography, X-Ray Computed Female Carcinoma, Squamous Cell Multimodal Imaging Neoplasm Grading Humans Papillomaviridae Prognosis Oropharyngeal Neoplasms Deep Learning Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck
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Deep Learning-Based Detection of Aflatoxin B1 Contamination in Almonds Using Hyperspectral Imaging: A Focus on Optimized 3D Inception-ResNet Model.

Toxins Mar 22, 2025
Aflatoxin B1, a toxic carcinogen frequently contaminating almonds, nuts, and food products, poses significant health risks. Therefore, a rapid and non-destructive detection method is crucial to detect aflatoxin B1-contaminated almonds to ensure food ...
Aflatoxin B1 Prunus dulcis Support Vector Machine Deep Learning Food Contamination Nuts Hyperspectral Imaging
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