2 papers
eess.IV2025
Automatic segmentation of Organs at Risk in Head and Neck cancer patients from CT and MRI scans
Sébastien Quetin, Andrew Heschl, Mauricio Murillo +5
Purpose: To present a high-performing, robust, and flexible deep learning pipeline for automatic segmentation of 30 organs-at-risk (OARs) in head and neck (H&N) cancer patients, us…
cs.CV2024
SynthSet: Generative Diffusion Model for Semantic Segmentation in Precision Agriculture
Andrew Heschl, Mauricio Murillo, Keyhan Najafian +1
This paper introduces a methodology for generating synthetic annotated data to address data scarcity in semantic segmentation tasks within the precision agriculture domain. Utilizi…