1 citations · 1 across the 5 of their papers we have counts for
5 papers
Adaptive EEG-based stroke diagnosis with a GRU-TCN classifier and deep Q-learning thresholding
Shakeel Abdulkareem, Bora Yimenicioglu, Khartik Uppalapati +3
Rapid triage of suspected stroke needs accurate, bedside-deployable tools; EEG is promising but underused at first contact. We present an adaptive multitask EEG classifier that con…
TinyViT-Batten: Few-Shot Vision Transformer with Explainable Attention for Early Batten-Disease Detection on Pediatric MRI
Khartik Uppalapati, Bora Yimenicioglu, Shakeel Abdulkareem +3
Batten disease (neuronal ceroid lipofuscinosis) is a rare pediatric neurodegenerative disorder whose early MRI signs are subtle and often missed. We propose TinyViT-Batten, a few-s…
RareGraph-Synth: Knowledge-Guided Diffusion Models for Generating Privacy-Preserving Synthetic Patient Trajectories in Ultra-Rare Diseases
Khartik Uppalapati, Shakeel Abdulkareem, Bora Yimenicioglu
We propose RareGraph-Synth, a knowledge-guided, continuous-time diffusion framework that generates realistic yet privacy-preserving synthetic electronic-health-record (EHR) traject…
A Two-Feature Quantitative EEG Index of Pediatric Epilepsy Severity: External Pre-Validation on CHB-MIT and Roadmap to Dravet Cohorts
Khartik Uppalapati, Bora Yimenicioglu, Shakeel Abdulkareem +4
Objective biomarkers for staging pediatric epileptic encephalopathies are scarce. We revisited a large open repository -- the CHB-MIT Scalp EEG Database, 22 subjects aged 1.5-19 y…
A Comprehensive Guide to Enhancing Antibiotic Discovery Using Machine Learning Derived Bio-computation
Khartik Uppalapati, Eeshan Dandamudi, S. Nick Ice +4
Traditional drug discovery is a long, expensive, and complex process. Advances in Artificial Intelligence (AI) and Machine Learning (ML) are beginning to change this narrative. Her…