3 papers
eess.IV2024
An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping
Rugved Chavan, Gabriel Hyman, Zoraiz Qureshi +10
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain imaging has considerable clinical potential, yet its utilization remains limited. A…
cs.CV2023
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction
Nivetha Jayakumar, Tonmoy Hossain, Miaomiao Zhang
3D image reconstruction from a limited number of 2D images has been a long-standing challenge in computer vision and image analysis. While deep learning-based approaches have achie…
eess.IV2023
Multimodal Deep Learning to Differentiate Tumor Recurrence from Treatment Effect in Human Glioblastoma
Tonmoy Hossain, Zoraiz Qureshi, Nivetha Jayakumar +5
Differentiating tumor progression (TP) from treatment-related necrosis (TN) is critical for clinical management decisions in glioblastoma (GBM). Dynamic FDG PET (dPET), an advance…