2 citations · 4 across the 7 of their papers we have counts for
8 papers
AgenTeeth: A Model-Agnostic Framework for Suppressing Hallucination in Frozen Vision-Language Models on Dental X-Rays via Tool Evidence Injection
Ahmed Rafid, Fariya Ahmed, Rumman Adib +3
Vision-language models (VLMs) remain largely unreliable on panoramic dental radiographs and can rely on learned anatomical priors rather than evidence in the image. This is particu…
Assessing Large Language Models for Medical QA: Zero-Shot and LLM-as-a-Judge Evaluation
Shefayat E Shams Adib, Ahmed Alfey Sani, Ekramul Alam Esham +2
Recently, Large Language Models (LLMs) have gained significant traction in medical domain, especially in developing a QA systems to Medical QA systems for enhancing access to healt…
Faithful Summarization of Consumer Health Queries: A Cross-Lingual Framework with LLMs
Ajwad Abrar, Nafisa Tabassum Oeshy, Prianka Maheru +2
Summarizing consumer health questions (CHQs) can ease communication in healthcare, but unfaithful summaries that misrepresent medical details pose serious risks. We propose a frame…
BanglaMedQA and BanglaMMedBench: Evaluating Retrieval-Augmented Generation Strategies for Bangla Biomedical Question Answering
Sadia Sultana, Saiyma Sittul Muna, Mosammat Zannatul Samarukh +2
Developing accurate biomedical Question Answering (QA) systems in low-resource languages remains a major challenge, limiting equitable access to reliable medical knowledge. This pa…
A Pan-cancer Classification Model using Multi-view Feature Selection Method and Ensemble Classifier
Tareque Mohmud Chowdhury, Farzana Tabassum, Sabrina Islam +1
Accurately identifying cancer samples is crucial for precise diagnosis and effective patient treatment. Traditional methods falter with high-dimensional and high feature-to-sample…
Precision Cancer Classification and Biomarker Identification from mRNA Gene Expression via Dimensionality Reduction and Explainable AI
Farzana Tabassum, Sabrina Islam, Siana Rizwan +4
Gene expression analysis is a critical method for cancer classification, enabling precise diagnoses through the identification of unique molecular signatures associated with variou…
Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture
Zarif Ahmed, Chowdhury Nur E Alam Siddiqi, Fardifa Fathmiul Alam +2
Nuclei instance segmentation is crucial in oncological diagnosis and cancer pathology research. H&E stained images are commonly used for medical diagnosis, but pre-processing is ne…
Prediction of a Gene Regulatory Network from Gene Expression Profiles With Linear Regression and Pearson Correlation Coefficient
Md Mehedi Hassan Onik, Shakhawat Ahmmed Nobin, Adnan Ferdous Ashrafi +1
Reconstruction of gene regulatory networks is the process of identifying gene dependency from gene expression profile through some computation techniques. In our human body, though…