In this research, we aim to evaluate the robustness of convolutional neural networks (CNNs) and foundation models, such as ConCH and UNI, in classifying different types of organs from whole-slide images (WSIs) collected from various countries, different scanners, and clinical environments. Despite the dataset's inheren...
Khan Ziaullah, Md Ariful Islam Mozumder, Hee-Cheol Kim· 2026 6th International Confe...· 0 citations
A 5P evidence-grounded research agenda is proposed for automated ICD coding research, highlighting the need for standardized benchmarks, rigorous external validation, multilingual datasets, and explainable architectures to enable equitable and effective deployment in real-world healthcare systems.
Abdul Rehman Khalid, Haider Ali, Kounen Fathima et al.· Journal of medical systems· 0 citations
The imperative necessity for rapid discovery of antiviral agents against emerging viral diseases, such as COVID-19 caused by SARS-CoV-2, has emphasised the limitations of conventional drug discovery, with its deliberate pace, high costs, and high failure rate. In this study, we present a high-throughput “AI-driven virt...
Hayat Ullah, Khan Ziaullah, Md Ariful Islam Mozumder et al.· 2026 6th International Confe...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.