AIMC Topic: Deep Learning

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Identifying significant features in adversarial attack detection framework using federated learning empowered medical IoT network security.

Scientific reports Aug 26, 2025
The expansion of the Internet of Medical Things (IoHT) presents significant advantages for healthcare over improved data-driven insights and connectivity and offers critical cybersecurity challenges. Attacks are a serious risk for neural network secu...
Deep Learning Internet of Things Computer Security Federated Learning Artificial Intelligence Machine Learning Algorithms Humans Neural Networks, Computer
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Deep adversarial learning identifies ADHD-specific associations between apoptotic genes and white matter microstructure in frontal-striatum-cerebellum circuit.

Translational psychiatry Aug 26, 2025
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by genetic predisposition and alterations in brain structural connectivity. While existing studies have established associations between genetic variants a...
White Matter Corpus Striatum Neural Pathways Diffusion Tensor Imaging Attention Deficit Disorder with Hyperactivity Genetic Predisposition to Disease Apoptosis Cerebellum Deep Learning Adolescent Child Female Male Humans
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Optimizing meningioma grading with radiomics and deep features integration, attention mechanisms, and reproducibility analysis.

European journal of medical research Aug 26, 2025
OBJECTIVE: This study aims to develop a robust and clinically applicable framework for preoperative grading of meningiomas using T1-contrast-enhanced and T2-weighted MRI images. The approach integrates radiomic feature extraction, attention-guided de...
Male Middle Aged Deep Learning Magnetic Resonance Imaging Neoplasm Grading Reproducibility of Results Humans Meningioma Female Adult Meningeal Neoplasms Radiomics
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Leveraging agent-based models and deep reinforcement learning to predict taxis in cell migration.

NPJ systems biology and applications Aug 26, 2025
We present a novel computational framework that combines Agent-Based Modeling (ABM) with Reinforcement Learning (RL) using the Double Deep Q-Network (DDQN) algorithm to determine cellular behavior in response to environmental signals. With this appro...
Computational Biology Cell Movement Models, Biological Algorithms Humans Computer Simulation Reinforcement, Psychology Deep Learning Reinforcement Machine Learning
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Development of a deep learning method to identify acute ischaemic stroke lesions on brain CT.

Stroke and vascular neurology Aug 26, 2025
BACKGROUND: CT is commonly used to image patients with ischaemic stroke but radiologist interpretation may be delayed. Machine learning techniques can provide rapid automated CT assessment but are usually developed from annotated images which necessa...
Aged Aged, 80 and over Male Tomography, X-Ray Computed Female Reproducibility of Results Predictive Value of Tests Humans Ischemic Stroke Middle Aged Deep Learning Time Factors Radiographic Image Interpretation, Computer-Assisted Brain Ischemia
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Strokeformer: A novel deep learning paradigm training transformer-based architecture for stroke prognosis prediction.

PloS one Aug 26, 2025
Stroke, a common neurological disorder, is considered one of the leading causes of death and disability worldwide. Stroke prognosis issues involve using clinical characteristics collected from patients presented in tabular form to determine whether t...
Stroke Algorithms Prognosis Deep Learning Humans
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Enhancing the early detection of Alzheimer's disease using an integrated CNN-LSTM framework: A robust approach for fMRI-based multi-stage classification.

PloS one Aug 26, 2025
Alzheimer's Disease poses a significant challenge as a progressive and irreversible neurological condition striking the elderly population. Its incurable nature correlates with a significant rise in death rates. However, early detection can slow its ...
Humans Neural Networks, Computer Male Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Brain Female Aged Alzheimer Disease Early Diagnosis
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CHASHNIt for enhancing skin disease classification using GAN augmented hybrid model with LIME and SHAP based XAI heatmaps.

Scientific reports Aug 24, 2025
Correct categorization of skin diseases is vital for prompt diagnosis. However, obstacles such as imbalance of data and interpretability of deep learning models limit their use in medical settings. To overcome these setbacks, Combined Hybrid Architec...
Calcium Compounds Deep Learning Humans Oxides Neural Networks, Computer Skin Diseases Algorithms
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A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study.

BMC cancer Aug 23, 2025
BACKGROUND: To explore the efficacy of a deep learning (DL) model in predicting perineural invasion (PNI) in prostate cancer (PCa) by conducting multiparametric MRI (mpMRI)-based tumor heterogeneity analysis.
Neoplasm Invasiveness Prostatic Neoplasms Peripheral Nerves Deep Learning Aged ROC Curve Humans Multiparametric Magnetic Resonance Imaging Male Magnetic Resonance Imaging Retrospective Studies Middle Aged
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The analysis of landscape design and plant selection under deep learning.

Scientific reports Aug 23, 2025
This paper explores the application of deep learning (DL) techniques in landscape design and plant selection, aiming to enhance design efficiency and quality through automated plant leaf image recognition (PLIR). A novel framework based on Convolutio...
Conservation of Natural Resources Image Processing, Computer-Assisted Plant Leaves Neural Networks, Computer Plants Deep Learning
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