58 citations · 77 across the 7 of their papers we have counts for
7 papers
LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models
Pouria Rouzrokh, Bardia Khosravi, Parsa Rouzrokh +1
Systematic literature reviews and meta-analyses are essential for synthesizing research insights, but they remain time-intensive and labor-intensive due to the iterative processes…
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…
CONFLARE: CONFormal LArge language model REtrieval
Pouria Rouzrokh, Shahriar Faghani, Cooper U. Gamble +2
Retrieval-augmented generation (RAG) frameworks enable large language models (LLMs) to retrieve relevant information from a knowledge base and incorporate it into the context for g…
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…
Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research
Bardia Khosravi, Frank Li, Theo Dapamede +8
Chest X-rays (CXR) are essential for diagnosing a variety of conditions, but when used on new populations, model generalizability issues limit their efficacy. Generative AI, partic…
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…