Search Results for author: Hidekazu Iwaki

Found 3 papers, 0 papers with code

MixFeat: Mix Feature in Latent Space Learns Discriminative Space

no code implementations ICLR 2019 Yoichi Yaguchi, Fumiyuki Shiratani, Hidekazu Iwaki

We discuss the difference between a method that mixes only features (MixFeat) and a method that mixes both features and labels (mixup and its family).

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

no code implementations10 May 2021 Yutong Ban, Guy Rosman, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus

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.

Decision Making Generative Adversarial Network

Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows

no code implementations1 Sep 2020 Yutong Ban, Guy Rosman, Thomas Ward, Daniel Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan Meireles, Daniela Rus

With the understanding of the complete surgical workflow, the robots are able to assist the surgeons in intra-operative events, such as by giving a warning when the surgeon is entering specific keys or high-risk phases.

Surgical phase recognition

Cannot find the paper you are looking for? You can Submit a new open access paper.