58 citations · 77 across the 7 of their papers we have counts for
4 papers · 1 filter
RadRotator: 3D Rotation of Radiographs with Diffusion Models
Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani +4
Transforming two-dimensional (2D) images into three-dimensional (3D) volumes is a well-known yet challenging problem for the computer vision community. In the medical domain, a few…
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation Models
Farhad Maleki, Linda Moy, Reza Forghani +14
Deep learning techniques hold immense promise for advancing medical image analysis, particularly in tasks like image segmentation, where precise annotation of regions or volumes of…
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report
Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani +3
Despite the ever-increasing interest in applying deep learning (DL) models to medical imaging, the typical scarcity and imbalance of medical datasets can severely impact the perfor…
SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
Kuan Zhang, Haoji Hu, Kenneth Philbrick +4
There is a growing demand for high-resolution (HR) medical images in both the clinical and research applications. Image quality is inevitably traded off with the acquisition time f…