AIMC Topic: Deep Learning

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U-Net-based architecture with attention mechanisms and Bayesian Optimization for brain tumor segmentation using MR images.

Computers in biology and medicine Jun 30, 2025
As technological innovation in computers has advanced, radiologists may now diagnose brain tumors (BT) with the use of artificial intelligence (AI). In the medical field, early disease identification enables further therapies, where the use of AI sys...
Bayes Theorem Image Interpretation, Computer-Assisted Brain Neoplasms Deep Learning Magnetic Resonance Imaging Humans Algorithms
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Learning salient representation of crashes and near-crashes using supervised contrastive variational autoencoder.

Accident; analysis and prevention Jun 30, 2025
Models capable of learning representations that are salient in safety-critical events (SCEs; including crashes and near-crashes) are crucial for road safety. This study proposes a novel deep learning model, the supervised contrastive variational auto...
Safety Automobile Driving Autoencoder Humans Biomechanical Phenomena Deep Learning Accidents, Traffic
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Enhanced deep learning framework for real-time instrument detection and tracking in laparoscopic surgery using advanced augmentation and tracking techniques.

Surgical endoscopy Jun 30, 2025
BACKGROUND: Accurate tracking and enumeration of surgical instruments are critical for patient safety and operational efficiency in laparoscopic procedures. Advanced tracking systems enhance object detection by maintaining instrument identity despite...
Surgical Instruments Humans Algorithms Deep Learning Patient Safety Laparoscopy Workflow
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TGEL-transformer: Fusing educational theories with deep learning for interpretable student performance prediction.

PloS one Jun 30, 2025
With the integration of educational technology and artificial intelligence, personalized learning has become increasingly important. However, traditional educational data mining methods struggle to effectively integrate heterogeneous feature data and...
Students Deep Learning Data Mining Humans Artificial Intelligence Learning Female Male
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Deep learning models for predicting hearing thresholds based on joint stimulus-frequency otoacoustic emissions and distortion-product otoacoustic emissions.

Hearing research Jun 29, 2025
According to the dual-source generation hypothesis, stimulus-frequency otoacoustic emissions (SFOAEs) and distortion-product OAEs (DPOAEs) arise from different cochlear mechanisms, and both are capable of characterizing hearing loss. However, their j...
Acoustic Stimulation Audiometry, Pure-Tone Hearing Auditory Threshold Humans Cochlea Neural Networks, Computer Otoacoustic Emissions, Spontaneous Adolescent Young Adult Predictive Value of Tests Adult Female Signal Processing, Computer-Assisted Male Reproducibility of Results Hearing Loss, Sensorineural Middle Aged Aged Case-Control Studies Deep Learning
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A novel speech signal feature extraction technique to detect speech impairment in children accurately.

Computers in biology and medicine Jun 29, 2025
Speech signal processing and extracting useful information from speech signal is necessary for speech language impairment (SLI) detection in children. Although different features has been suggested for SLI detection, there is still a scope exist for ...
Deep Learning Speech Child, Preschool Child Signal Processing, Computer-Assisted Speech Disorders Humans Female Male
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Novel Artificial Intelligence-Driven Infant Meningitis Screening From High-Resolution Ultrasound Imaging.

Ultrasound in medicine & biology Jun 29, 2025
BACKGROUND: Infant meningitis can be a life-threatening disease and requires prompt and accurate diagnosis to prevent severe outcomes or death. Gold-standard diagnosis requires lumbar puncture (LP) to obtain and analyze cerebrospinal fluid (CSF). Des...
Infant, Newborn Male Infant Humans Artificial Intelligence Female Deep Learning Ultrasonography Meningitis
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Deep Learning-Based Automated Detection of the Middle Cerebral Artery in Transcranial Doppler Ultrasound Examinations.

Ultrasound in medicine & biology Jun 29, 2025
OBJECTIVE: Transcranial Doppler (TCD) ultrasound has significant clinical value for assessing cerebral hemodynamics, but its reliance on operator expertise limits broader clinical adoption. In this work, we present a lightweight real-time deep learni...
Humans Female Adult Stroke Middle Cerebral Artery Male Ultrasonography, Doppler, Transcranial Middle Aged Deep Learning
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Evaluation of meibomian gland dysfunction with deep learning model considering different datasets and gland morphology.

Computers in biology and medicine Jun 28, 2025
Meibomian gland dysfunction (MGD) is recognized as the primary cause of evaporative-type dry eye disease (DED). Diagnosis typically involves assessing meibomian gland (MG) morphology alongside symptom evaluation. Traditionally, experts manually grade...
Dry Eye Syndromes Meibomian Glands Meibomian Gland Dysfunction Middle Aged Deep Learning Image Processing, Computer-Assisted Aged Humans Adult Male Databases, Factual Female
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Radio DINO: A foundation model for advanced radiomics and AI-driven medical imaging analysis.

Computers in biology and medicine Jun 28, 2025
Radiomics is transforming medical imaging by extracting complex features that enhance disease diagnosis, prognosis, and treatment evaluation. However, traditional approaches face significant challenges, such as the need for manual feature engineering...
Deep Learning Humans Databases, Factual Image Processing, Computer-Assisted Radiomics Diagnostic Imaging
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