3 papers
cs.CV2024
Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images
Jiarui Xing, Nian Wu, Kenneth Bilchick +2
This paper presents a multimodal deep learning framework that utilizes advanced image techniques to improve the performance of clinical analysis heavily dependent on routinely acqu…
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…
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…