3 papers
cs.CV2024
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracy
Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang +3
Diffusion Probabilistic Models (DPMs) suffer from inefficient inference due to their slow sampling and high memory consumption, which limits their applicability to various medical…
eess.IV2024
Diagnosis Of Takotsubo Syndrome By Robust Feature Selection From The Complex Latent Space Of DL-based Segmentation Network
Fahim Ahmed Zaman, Wahidul Alam, Tarun Kanti Roy +3
Researchers have shown significant correlations among segmented objects in various medical imaging modalities and disease related pathologies. Several studies showed that using han…
eess.IV2023
Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image Segmentation
Fahim Ahmed Zaman, Mathews Jacob, Amanda Chang +3
Diffusion models have shown impressive performance for image generation, often times outperforming other generative models. Since their introduction, researchers have extended the…