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A Two-Stage Multitask Vision-Language Framework for Explainable Crop Disease Visual Question Answering
Md. Zahid Hossain, Most. Sharmin Sultana Samu, Md. Rakibul Islam +1
Visual question answering (VQA) for crop disease analysis requires accurate visual understanding and reliable language generation. In this work, we present a lightweight and explai…
FUSE: Unifying Spectral and Semantic Cues for Robust AI-Generated Image Detection
Md. Zahid Hossain, Most. Sharmin Sultana Samu, Md. Kamrozzaman Bhuiyan +2
The fast evolution of generative models has heightened the demand for reliable detection of AI-generated images. To tackle this challenge, we introduce FUSE, a hybrid system that c…
Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis
Md. Zahid Hossain, Md. Rakibul Islam, Most. Sharmin Sultana Samu
Since mpox can spread from person to person, it is a zoonotic viral illness that poses a significant public health concern. It is difficult to make an early clinical diagnosis beca…
Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2
Md. Rakibul Islam, Md. Zahid Hossain, Mustofa Ahmed +1
Radiology plays a pivotal role in modern medicine due to its non-invasive diagnostic capabilities. However, the manual generation of unstructured medical reports is time consuming…