Peilun Shi

According to our database1, Peilun Shi authored at least 11 papers between 2022 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future.
IEEE J. Biomed. Health Informatics, December, 2023

Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review.
Comput. Medical Imaging Graph., September, 2023

A Step Towards Conditional Autonomy - Robotic Appendectomy.
IEEE Robotics Autom. Lett., May, 2023

Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-wide OCTA.
CoRR, 2023

VisionFM: a Multi-Modal Multi-Task Vision Foundation Model for Generalist Ophthalmic Artificial Intelligence.
CoRR, 2023

CauDR: A Causality-inspired Domain Generalization Framework for Fundus-based Diabetic Retinopathy Grading.
CoRR, 2023

Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentation.
CoRR, 2023

Large AI Models in Health Informatics: Applications, Challenges, and the Future.
CoRR, 2023

EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

2022
MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model.
CoRR, 2022

Clustering Egocentric Images in Passive Dietary Monitoring with Self-Supervised Learning.
CoRR, 2022


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