3 papers
eess.IV2025
When Experts Disagree: Characterizing Annotator Variability for Vessel Segmentation in DSA Images
M. Geshvadi, G. So, D. D. Chlorogiannis +12
We analyze the variability among segmentations of cranial blood vessels in 2D DSA performed by multiple annotators in order to characterize and quantify segmentation uncertainty. W…
cs.CV2025
Evaluating Graphical Perception with Multimodal LLMs
Rami Huu Nguyen, Kenichi Maeda, Mahsa Geshvadi +1
Multimodal Large Language Models (MLLMs) have remarkably progressed in analyzing and understanding images. Despite these advancements, accurately regressing values in charts remain…
cs.CV2025
Visualizing Uncertainty in Image Guided Surgery a Review
Mahsa Geshvadi
During tumor resection surgery, surgeons rely on neuronavigation to locate tumors and other critical structures in the brain. Most neuronavigation is based on preoperative images,…