TNJSF-2024: Projects Exhibited in Computational Neuroscience
CN.01 :
Predictive Spatiotemporal Single-Cell Transcriptomics Modeling for Pathological Markers and In-Silico Perturbations in Alzheimer's Disease
- Ishir Rao
- Chatham H.S.
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CN.02 :
Precision Psychiatry: Graph Neural Network-Based Prediction and Differential Diagnosis of Neurodegenerative Disorders
- Saanvi Muthuchetty
- Middlesex County Academy for Allied Health and Biomedical Sciences
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CN.03 :
FS-MSA: Few-Shot, Self-Prompting, Parameter-Efficient Medical "Segment Anything" for Aiding 3D Brain Tumor Diagnosis
- Benjamin Li
- Millburn High School
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CN.04 :
Applying Dimensionality Reduction as Precursor to LSTM-CNN Models for Classifying Imagery and Motor Signals in ECoG Based BCIs
- Soham Bafana
- Dwight-Englewood
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CN.05 :
Assessment of Gamma Knife Radiosurgery Treatment of Brain Tumors Using Diffusion-Tensor MRI
- Charles Xiang
- West Windsor Plainsboro High School North
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CN.06 :
A Novel Parallel Subgraph Isomorphism Algorithm to Detect Structural Patterns in the Human Cerebral Cortex
- Sounak Bagchi
- Edison Academy Magnet School
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CN.07 :
A Novel Method of Detecting Fatigue Induced by Driving from EEG Data Using a Deep Learning Neural Network
- Subhiksha Stephan
- Millburn High School
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