An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping

no code implementations • 5 Feb 2024 • Rugved Chavan, Gabriel Hyman, Zoraiz Qureshi, Nivetha Jayakumar, William Terrell, Stuart Berr, David Schiff, Megan Wardius, Nathan Fountain, Thomas Muttikkal, Mark Quigg, Miaomiao Zhang, Bijoy Kundu

These results underscore the efficacy of the ICA-net and MCIF-net deep learning pipeline in learning the ICA structure's distribution and automating MCIF computation with PV corrections.

SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction

no code implementations • 6 Sep 2023 • Nivetha Jayakumar, Tonmoy Hossain, Miaomiao Zhang

In this paper, we propose a shape-aware network based on diffusion models for 3D image reconstruction, named SADIR, to address these issues.

3D Reconstruction Image Reconstruction

Multimodal Deep Learning to Differentiate Tumor Recurrence from Treatment Effect in Human Glioblastoma

no code implementations • 27 Feb 2023 • Tonmoy Hossain, Zoraiz Qureshi, Nivetha Jayakumar, Thomas Eluvathingal Muttikkal, Sohil Patel, David Schiff, Miaomiao Zhang, Bijoy Kundu

3D parametric PET Ki (from dPET), traditional static PET standardized uptake values (SUV), and also the brain tumor MR voxels formed the input for the CNN.

Management Multimodal Deep Learning