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Jennifer A. Eckhoff

2 accepted papers

2025

Hypergraph-Transformer (HGT) for Interaction Event Prediction in Laparoscopic and Robotic Surgery

ICRA 2025

Understanding and anticipating events and actions is critical for intraoperative assistance and decision-making during minimally invasive surgery. We propose a predictive neural network that is capable of understanding and predicting critical interaction aspects of surgical workflow based on endosco

Cited by 6SourceScholar
2022

SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery

RA-L 2022

Comprehension of surgical workflow is the foundation upon which artificial intelligence (AI) and machine learning (ML) holds the potential to assist intraoperative decision making and risk mitigation. In this work, we move beyond mere identification of past surgical phases, into prediction of future

Cited by 19SourceScholar