1 citations · 1 across the 7 of their papers we have counts for
10 papers
PANINI-DR: Controlled Deep Research through Generative Semantic Workspaces
M. Yigit Turali, Shreyas Rajesh, M. Efe Lorasdagi +3
Deep research requires connecting multiple steps of search, reasoning, and computation, with intermediate findings guiding what to investigate next. As investigations grow, agents…
PHASE: A Physiology-Guided Hierarchical Foundation Model for Intracranial EEG
Yipeng Zhang, Chenda Duan, Yuanyi Ding +11
Clinicians and neuroscientists have long analyzed intracranial electroencephalography (iEEG) through directly measurable physiological characteristics, which carry much of the info…
Teaching LLMs to Recommend and Defer in Underrepresented Epilepsy Care
Shreyas Rajesh, Kartik Sharma, Tonmoy Monsoor +8
Specialist epilepsy expertise is scarce in resource-constrained settings. Clinical decision-support systems must adapt to local prescribing practices and recognize when specialist…
Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
Lina Zhang, Tonmoy Monsoor, Peizheng Li +23
While Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in general video understanding, their capacity to interpret involuntary, and spatio-temporal…
An Exterior Method for Nonnegative Matrix Factorization
Qiujing Lu, Tonmoy Monsoor, Ehsan Ebrahimzadeh +2
Nonnegative matrix factorization (NMF) seeks a low-rank approximation with nonnegative factors and is commonly solved using interior methods that enforce feasibili…
Can Multimodal Large Language Models Understand Pathologic Movements? A Pilot Study on Seizure Semiology
Lina Zhang, Tonmoy Monsoor, Mehmet Efe Lorasdagi +8
Multimodal Large Language Models (MLLMs) have demonstrated robust capabilities in recognizing everyday human activities, yet their potential for analyzing clinically significant in…
Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research
Chenda Duan, Yipeng Zhang, Sotaro Kanai +9
Epilepsy affects over 50 million people worldwide, and one-third of patients suffer drug-resistant seizures where surgery offers the best chance of seizure freedom. Accurate locali…
Panini: Continual Learning in Token Space via Structured Memory
Shreyas Rajesh, Pavan Holur, Mehmet Yigit Turali +2
Language models are increasingly used to reason over content they were not trained on, such as new documents, evolving knowledge, and user-specific data. A common approach is retri…
Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces
Shreyas Rajesh, Pavan Holur, Chenda Duan +2
Large Language Models (LLMs) face fundamental challenges in long-context reasoning: many documents exceed their finite context windows, while performance on texts that do fit degra…
Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making
Yipeng Zhang, Yuanyi Ding, Chenda Duan +3
High-frequency oscillations (HFOs) in intracranial Electroencephalography (iEEG) are critical biomarkers for localizing the epileptogenic zone in epilepsy treatment. However, tradi…