AIMC Topic: Deep Learning
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Unraveling the neural dynamics of mathematical interference in english reading: A novel approach with deep learning and fNIRS data.
Brain research bulletin
May 21, 2025
English has emerged as the predominant global language, driving efforts to optimize its acquisition through interdisciplinary cognitive research. While behavioral studies suggest a link between English learning and mathematical cognition, the neural ...
Synthesizing [F]PSMA-1007 PET bone images from CT images with GAN for early detection of prostate cancer bone metastases: a pilot validation study.
BMC cancer
May 21, 2025
BACKGROUND: [F]FDG PET/CT scan combined with [F]PSMA-1007 PET/CT scan is commonly conducted for detecting bone metastases in prostate cancer (PCa). However, it is expensive and may expose patients to more radiation hazards. This study explores deep l...
A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.
Scientific reports
May 21, 2025
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping...
Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset.
Scientific reports
May 21, 2025
Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income countries (LMICs) but understudied with respect to computer assisted surgery. This prospective cross-sectional study introduces the first SICS video data...
Cyclic peptide structure prediction and design using AlphaFold2.
Nature communications
May 21, 2025
Small cyclic peptides have gained significant traction as a therapeutic modality; however, the development of deep learning methods for accurately designing such peptides has been slow, mostly due to the lack of sufficiently large training sets. Here...
Artificial intelligence (AI)-driven morphological assessment of zebrafish larvae for developmental toxicity chemical screening.
Aquatic toxicology (Amsterdam, Netherlands)
May 20, 2025
Screening chemicals using the zebrafish embryo developmental toxicity assay requires visual assessment of larval morphological changes based on images by experienced screeners. The process is time-consuming and prone to subjectivity. However, deep le...
Novel fusion-based time-frequency analysis for early prediction of sudden cardiac death from electrocardiogram signals.
Medical engineering & physics
May 20, 2025
Sudden cardiac death (SCD) is one of the leading causes of global mortality, often occurring without warning and driven by complex cardiac dynamics. Despite significant advances in cardiovascular diagnostics, accurately predicting SCD at an early sta...
Machine learning in neuroimaging and computational pathophysiology of Parkinson's disease: A comprehensive review and meta-analysis.
Asian journal of psychiatry
May 20, 2025
In recent years, machine learning and deep learning have shown potential for improving Parkinson's disease (PD) diagnosis, one of the most common neurodegenerative diseases. This comprehensive analysis examines machine learning and deep learning-base...
Pancreas segmentation in CT scans: A novel MOMUNet based workflow.
Computers in biology and medicine
May 20, 2025
Automatic pancreas segmentation in CT scans is crucial for various medical applications, including early diagnosis and computer-assisted surgery. However, existing segmentation methods remain suboptimal due to significant pancreas size variations acr...
SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning.
PloS one
May 20, 2025
The fish market is a crucial industry for both domestic economies and the global seafood trade. Accurate fish species classification (FSC) plays a significant role in ensuring sustainability, improving food safety, and optimizing market efficiency. T...
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