G. Hossain

HybridDenseViT: a unified explainable hybrid deep learning framework for multi-stage liver fibrosis staging across T2-weighted MRI and B-mode ultrasound

Accurate staging of liver fibrosis is critical for guiding antifibrotic therapy and predicting disease prognosis. Liver biopsy, the current reference standard, is invasive, costly, and subject to significant sampling error. Although T2-weighted MRI and B-mode ultrasound offer established noninvasive alternatives, exist...

Explainable survival analytics for dementia risk management: Comparing Cox regression and DeepSurv using the national health and aging trends study

This study develops an explainable survival-analysis framework for predicting time to first observed dementia and evaluates whether DeepSurv, a neural-network-based survival model, offers predictive and decision-support advantages over conventional Cox proportional hazards (Cox PH) regression. We analyzed longitudinal...

An explainable deep learning approach for automated detection and grading of diabetic retinopathy from fundus images.

Diabetic Retinopathy (DR) is a leading cause of preventable blindness, and it is important to accurately detect it as early as possible, as well as to measure the severity to provide early clinical indicators. Fundus image assessment in the manual mode is subjective and labor-intensive, and is hard to scale, which has...

Execution Flexibility in Automated Planning: A Comparative Evaluation of Deordering and Reordering Strategies

This study covers foundational concepts for enhancing plan-execution flexibility, including partial-order planning, the producer-consumer-threat formalism, and a range of deordering and reordering strategies. Creating a partial-order plan from a sequential one by removing unnecessary ordering constraints is a practical...

Dont Just Teach, Explain! A Gamified 20Q Recommender for Cybersecurity Education

This paper introduces an interactive educational framework that reimagines cybersecurity awareness through the lens of a structured guessing game, and integrates explainable artificial intelligence (XAI) principles with reinforcement learning to create a dynamic learning environment where users discover cybersecurity c...

EEG Time–Frequency Image Encoding with Convolutional Networks for Alzheimer’s and FTD Classification