Deep-learning models can achieve strong chest X-ray (CXR) classification performance without establishing whether their predictions predominantly rely on pulmonary image content. This study evaluates pulmonary attribution containment as an anatomy-related reliability property distinct from diagnostic performance. We pr...
A. al Mamun, Md. Nasif Khansur, Md. Ashraful Hossen Akash et al.· 0 citations
The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encounters a lack of automation because of the high expenses for annotations performed by specialists. The use of SSL solves the problem of insufficient annotations using unlabeled B-scans; however, most of the current techniq...
Md. Ashraful Hossen Akash, Shyla Afroge, A. al Mamun et al.· 0 citations
Malware detection is a critical task in cybersecurity, and graph neural networks over control flow graphs have shown promising results for it. However, detectors are usually evaluated on a random split of a corpus collected over a single period, which cannot show how well a model generalizes to later samples. This stud...
M. Sajeed, Mayukh Mondal, Md. Ashraful Hossen Akash· 0 citations
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