Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
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Updated
May 4, 2026 - Python
Structural MRI PREProcessing (sMRIPrep) workflows for NIPreps (NeuroImaging PREProcessing tools)
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM density, curvature, gyrification)
Intensity normalization of structural MRIs using RAVEL
A python package that imitates functions from the Computational Anatomy Toolbox - CAT12.
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
StairwayGraphNet for inter- and inter-modality graph superresolution.
Pipeline for Cortical and Subcortical SC and FC
Nipype based application to detect FCD lesion in MRI negative epilepsy patients
A toolbox to detect cortical anomalies in sMRI (T1w) through Laplace–Beltrami spectral descriptors and geodesic-aware GP normative modeling on the cortical manifold.
Graduate clinical AI system for ASD detection from sMRI — NIfTI pipeline, Hybrid CNN-ViT (AUC 0.997), Grad-CAM + LIME explainability, MC-Dropout uncertainty, LLM clinical narrative, deployed on Hugging Face Spaces.
Masters thesis in CogNeuro with Center for Lifespan Changes in Brain and Cognition
B.Tech 2023 capstone — CNN vs Vision Transformer for ASD detection from structural MRI (ABIDE-I, 1,067 subjects). Established CNN baseline (AUC 0.978) and documented ViT failure from scratch. Foundation for graduate Phase 2.
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