1 citations · 1 across the 1 of their papers we have counts for
4 papers
Trustworthy Medical Imaging with Large Language Models: A Study of Hallucinations Across Modalities
Anindya Bijoy Das, Shahnewaz Karim Sakib, Shibbir Ahmed
Large Language Models (LLMs) are increasingly applied to medical imaging tasks, including image interpretation and synthetic image generation. However, these models often produce h…
Can Large Language Models Challenge CNNs in Medical Image Analysis?
Shibbir Ahmed, Shahnewaz Karim Sakib, Anindya Bijoy Das
This study presents a multimodal AI framework designed for precisely classifying medical diagnostic images. Utilizing publicly available datasets, the proposed system compares the…
Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment
Shibbir Ahmed, Hongyang Gao, Hridesh Rajan
Deep learning models are trained with certain assumptions about the data during the development stage and then used for prediction in the deployment stage. It is important to reaso…
What Kinds of Contracts Do ML APIs Need?
Samantha Syeda Khairunnesa, Shibbir Ahmed, Sayem Mohammad Imtiaz +2
Recent work has shown that Machine Learning (ML) programs are error-prone and called for contracts for ML code. Contracts, as in the design by contract methodology, help document A…