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20232026
most citedMitigating hallucinations in healthcare LLMs with granular fact-checking and domain-specific adaptation

3 citations · 5 across the 7 of their papers we have counts for

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Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Beyond Accuracy: Quantifying Pulmonary Attribution in Anatomy-Guided Chest X-Ray Classification Under Domain Shift

Abdullah Al Mamun, Md. Nasif Osman Khansur, Md Ashraful Hossen Akash +2

Deep-learning models can achieve strong chest X-ray (CXR) classification performance without establishing whether their predictions predominantly rely on pulmonary image content. T…

cs.LG2026

SAGE: Stability-Aware Graph-Based Ensemble Feature Selection for Explainable Postpartum Depression Risk Prediction

Md. Rokon Islam Emon, Syed Shariar Alam Shuvo, Shahriar Siddique Ayon +2

Postpartum depression (PPD) poses a major burden on maternal and child health, especially in low- and middle-income countries where prevalence exceeds 19%. Despite advancements in…

cs.CV2026

TRIAGE: Risk-Controlled Pseudo-Label Admission for Annotation-Efficient Semi-Supervised Retinal OCT Classification

Md Ashraful Hossen Akash, Shyla Afroge, Abdullah Al Mamun +2

The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encounters a lack of automation because of the high expenses for annotations performed…

cs.LG2026

Explainable AI for Mental Health Prediction in Drug-Affected Populations with Dragonfly Algorithm and GAN Oversampling

Ahnaf Atef Choudhury, Shahriar Siddique Ayon, Md. Ebrahim Hossain +1

Mental illnesses among drug users are an increasing international issue, particularly in regions where early detection cannot be easily undertaken. The current literature tends to…