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Articles by Marcus DS
Partially adaptive optimization driven spatial focused CNN with Gompertz non-linearity for interpretable Alzheimer’s disease diagnosis
Artificial intelligence (AI) has recently demonstrated promising results in medical diagnostics. These advancements play a key role in enhanced accuracy and precision (Dave et al., 2025; Khan et al., 2025; Gencer & Gencer, 2025). The effectiveness of the treatment relies on the availability of medical data like health surveys and other reports.
Optimizing a 3D convolutional neural network to detect Alzheimer’s disease based on MRI
Optimizing a 3D convolutional neural network to detect Alzheimer’s disease based on MRI 1Computer Science, King Faisal University, Al-Ahsa, Saudi Arabia 2Project Management, General Administration of Services and Facilities, King Faisal University, Al-Ahsa, Saudi Arabia DOI 10.7717/peerj-cs.3129 Academic Editor Paulo Jorge Coelho Subject Areas Computational Biology, Algorithms and Analysis of Algorithms, Computer Vision, Optimization Theory and Computation, Neural Networks Keywords Deep...
Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study
Different patterns of foreground and background processing contribute to texture segregation in humans: an electrophysiological study 1School of Psychology, Shaanxi Normal University, Xi’an, China 2Shaanxi Provincial Key Laboratory of Behavior & Cognitive Neuroscience, Xi’an, China 3Shaanxi Provincial Key Research Center of Child Mental and Behavioral Health, Xi’an, China DOI 10.7717/peerj.16139 Academic Editor Nick Fogt Subject Areas Neuroscience, Psychiatry and Psychology Keywords...
Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium
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MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network
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Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-Oncology (I3CR-WANO)
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