Author

M. Morol

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Preprint Aug 2026

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

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

Review Open access Aug 2026

Cross-modal bias in medical vision-language models: a pipeline-aware framework for mechanisms, evaluation, and mitigation

Medical vision-language models encode images and clinical text in a shared representation. Across radiology and ophthalmology, their diagnostic performance now approaches that of specialist clinicians. The mechanism behind that performance is also the source of a problem that has gone largely unexamined. These models a...

Rafid Mehda, Ramisa Anjum Oishi, Tamzid Tanvi Alam et al. · Frontiers in Digital Health · 0 citations

#generative ai Open access Sep 2026

Class balanced diabetic retinopathy image synthesis using a latent diffusion framework

This study establishes the Diabetic Retinopathy Latent Diffusion Synthesizer (DR-LDS) as a highly resource-efficient solution to the medical data bottleneck by leveraging a fine-tuned Variational Autoencoder for domain-adapted latent space compression, alongside an optimized U-Net.

Touhid Alam, Tze Hui Liew, M. Morol et al. · Discover Artificial Intellig... · 0 citations

#machine learning Review Sep 2026

AAMBERS-UAV: Acquisition-Aware Multimodal Backbone Evaluation and Ranking for UAV Weedy Rice Segmentation

Results support acquisition-aware same-test evaluation as a necessary complement to ordinary image-level splitting in multimodal UAV benchmarks and reveal strong near-sequential dependence.

Tarek Rahman, Nazim-E-Alam, M. Morol et al. · 0 citations

#computer vision Preprint Sep 2026

IchthyoNoma: Nomenclature and Context Sensitivity of Zero-Shot Biological Vision--Language Models for Bangladeshi Freshwater Fish Recognition

Zero-shot vision-language models (VLMs) are increasingly used as training-free species recognizers, but reported accuracy can reflect more than visual species knowledge. We audit CLIP, BioCLIP, BioCLIP2, and a multilingual Jina CLIP v2 control on seven freshwater-fish categories from two Bangladeshi sources (10,321 ima...

Nazim-E-Alam, Tarek Rahman, M. Morol · 0 citations

#large language models Review Open access Sep 2026

Multimodal medical diagnosis: a mini review of LLM–vision fusion models in low-resource healthcare settings

Recent advances in large language models (LLMs) and vision transformers have enabled multimodal systems that integrate clinical text with medical imaging for diagnostic decision-making. While these systems show promising results on benchmark datasets in well-resourced research settings, their applicability in low-resou...

Kahakashan Ashraf, Md.Hamid Hosen, N. Farah et al. · Frontiers in Digital Health · 0 citations