7 citations · 16 across the 7 of their papers we have counts for
8 papers
From Generalization to Precision: Exploring SAM for Tool Segmentation in Surgical Environments
Kanyifeechukwu J. Oguine, Roger D. Soberanis-Mukul, Nathan Drenkow +1
Purpose: Accurate tool segmentation is essential in computer-aided procedures. However, this task conveys challenges due to artifacts' presence and the limited training data in med…
An Endoscopic Chisel: Intraoperative Imaging Carves 3D Anatomical Models
Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel +7
Purpose: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to co…
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video
Jan Emily Mangulabnan, Roger D. Soberanis-Mukul, Timo Teufel +9
Generating accurate 3D reconstructions from endoscopic video is a promising avenue for longitudinal radiation-free analysis of sinus anatomy and surgical outcomes. Several methods…
Eye Tracking for Tele-robotic Surgery: A Comparative Evaluation of Head-worn Solutions
Regine Büter, Roger D. Soberanis-Mukul, Paola Ruiz Puentes +3
Purpose: Metrics derived from eye-gaze-tracking and pupillometry show promise for cognitive load assessment, potentially enhancing training and patient safety through user-specific…
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation
Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni
Organ segmentation in CT volumes is an important pre-processing step in many computer assisted intervention and diagnosis methods. In recent years, convolutional neural networks ha…
Polyp-artifact relationship analysis using graph inductive learned representations
Roger D. Soberanis-Mukul, Shadi Albarqouni, Nassir Navab
The diagnosis process of colorectal cancer mainly focuses on the localization and characterization of abnormal growths in the colon tissue known as polyps. Despite recent advances…
Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgetting
Maxime Kayser, Roger D. Soberanis-Mukul, Anna-Maria Zvereva +3
Survival rates for colorectal cancer are higher when polyps are detected at an early stage and can be removed before they develop into malignant tumors. Automated polyp detection,…
Uncertainty-based graph convolutional networks for organ segmentation refinement
Roger D. Soberanis-Mukul, Nassir Navab, Shadi Albarqouni
Organ segmentation in CT volumes is an important pre-processing step in many computer assisted intervention and diagnosis methods. In recent years, convolutional neural networks ha…