activity
20192026
most citedEnhancing Positronium Lifetime Imaging through Two-Component Reconstruction in Time-of-Flight Positron Emission Tomography

2 citations · 3 across the 10 of their papers we have counts for

collaborators

12 papers

cs.AI2026

Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings

Brad Ye, Bulent Soykan, Gulsah Hancerliogullari Koksalmis +2

Accurate prediction of conversion from Mild Cognitive Impairment (MCI) to Alzheimers Diseases (AD) is essential for early intervention, however, developing reliable conversion pred…

cs.AI2026

Toward Personalized Digital Twins for Cognitive Decline Assessment: A Multimodal, Uncertainty-Aware Framework

Bulent Soykan, Gulsah Hancerliogullari Koksalmis, Hsin-Hsiung Huang +1

Cognitive decline is highly heterogeneous across individuals, which complicates prognosis, trial design, and treatment planning. We present the Personalized Cognitive Decline Asses…

cs.AI20261 cited

CognitiveTwin: Robust Multi-Modal Digital Twins for Predicting Cognitive Decline in Alzheimer's Disease

Bulent Soykan, Gulsah Hancerliogullari Koksalmis, Hsin-Hsiung Huang +1

Predicting individual cognitive decline in Alzheimer's disease (AD) is difficult due to the heterogeneity of disease progression. Reliable clinical tools require not only high accu…

eess.IV2026

Toward Actionable Digital Twins for Radiation-Based Imaging and Therapy: Mathematical Formulation, Modular Workflow, and an OpenKBP-Based Dose-Surrogate Prototype

Hsin-Hsiung Huang, Bulent Soykan

Digital twins for radiation-based imaging and therapy are most useful when they assimilate patient data, quantify predictive uncertainty, and support clinically constrained decisio…

stat.AP2025

Maritime Vessel Tracking

John Mahlon Scott, Hsin-Hsiung Huang

The Automatic Identification System (AIS) provides time stamped vessel positions and kinematic reports that enable maritime authorities to monitor traffic. We consider the problem…

stat.ME2025

Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inference

Fangzheng Xie, Hsin-Hsiung Huang

Analyzing multilayer networks is central to understanding complex relational measurements collected across multiple conditions or over time. A pivotal task in this setting is to qu…