Daniel A. Hashimoto

Orcid: 0000-0003-4725-3104

According to our database1, Daniel A. Hashimoto authored at least 19 papers between 2017 and 2025.

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Bibliography

2025
Future Slot Prediction for Unsupervised Object Discovery in Surgical Video.
CoRR, July, 2025

Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era.
CoRR, June, 2025

FORLA:Federated Object-centric Representation Learning with Slot Attention.
CoRR, June, 2025

Slot-BERT: Self-supervised Object Discovery in Surgical Video.
CoRR, January, 2025

Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
Concept Graph Neural Networks for Surgical Video Understanding.
IEEE Trans. Medical Imaging, January, 2024

The FIX Benchmark: Extracting Features Interpretable to eXperts.
CoRR, 2024

The impact of generative artificial intelligence on socioeconomic inequalities and policy making.
CoRR, 2024

2023
Understanding metric-related pitfalls in image analysis validation.
CoRR, 2023

2022
Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation.
Sensors, 2022

SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery.
IEEE Robotics Autom. Lett., 2022

Computer vision in surgery: from potential to clinical value.
npj Digit. Medicine, 2022

Surgical data science - from concepts toward clinical translation.
Medical Image Anal., 2022

Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR, 2022

2021
SUrgical PRediction GAN for Events Anticipation.
CoRR, 2021

Special issue on 2020 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Aggregating Long-Term Context for Learning Surgical Workflows.
CoRR, 2020

2017
Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017


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