4 papers
ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling
Martin Licht, Sara Ketabi, Farzad Khalvati
Topic modeling is a useful tool for analyzing large corpora of written documents, particularly academic papers. Despite a wide variety of proposed topic modeling techniques, these…
A Comparison and Evaluation of Fine-tuned Convolutional Neural Networks to Large Language Models for Image Classification and Segmentation of Brain Tumors on MRI
Felicia Liu, Jay J. Yoo, Farzad Khalvati
Large Language Models (LLMs) have shown strong performance in text-based healthcare tasks. However, their utility in image-based applications remains unexplored. We investigate the…
ClinicalFMamba: Advancing Clinical Assessment using Mamba-based Multimodal Neuroimaging Fusion
Meng Zhou, Farzad Khalvati
Multimodal medical image fusion integrates complementary information from different imaging modalities to enhance diagnostic accuracy and treatment planning. While deep learning me…
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking
Connor Ludwig, Khashayar Namdar, Farzad Khalvati
Medical image segmentation has greatly aided medical diagnosis, with U-Net based architectures and nnU-Net providing state-of-the-art performance. There have been numerous general…