Resting-State fMRI Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Resting-State fMRI ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Resting-State fMRI Projects
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A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis
This project focuses on detecting brain disorders using brain activity data. It combines diagnosis and explanation in a single system to make results more reliable. The system learns which brain connections are important for each person. It can also simulate changes in brain activity to understand how disorders affect the brain. -
EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning
This project focuses on using brain scans to detect autism. It studies how different regions of the brain interact in complex ways. The method finds important brain areas that help distinguish autistic patients from others. The approach is explainable, meaning it shows why it makes each diagnosis and works better than earlier methods.
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