9 citations · 9 across the 7 of their papers we have counts for
5 papers · 1 filter
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets
Mohammed Talha Alam, Raza Imam, Mohammad Areeb Qazi +2
Advancements in generative modeling are pushing the state-of-the-art in synthetic medical image generation. These synthetic images can serve as an effective data augmentation metho…
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations
Mohammed Talha Alam, Raza Imam, Mohsen Guizani +1
The prevalence of AI-generated imagery has raised concerns about the authenticity of astronomical images, especially with advanced text-to-image models like Stable Diffusion produc…
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging
Raza Imam, Mohammed Talha Alam, Umaima Rahman +2
Existing vision-text contrastive learning models enhance representation transferability and support zero-shot prediction by matching paired image and caption embeddings while pushi…
FLARE up your data: Diffusion-based Augmentation Method in Astronomical Imaging
Mohammed Talha Alam, Raza Imam, Mohsen Guizani +1
The intersection of Astronomy and AI encounters significant challenges related to issues such as noisy backgrounds, lower resolution (LR), and the intricate process of filtering an…
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models
Raza Imam, Mohammed Talha Alam
Deep learning has emerged as a prominent field in recent literature, showcasing the introduction of models that utilize transfer learning to achieve remarkable accuracies in the cl…