Peilun Shi

According to our database, Peilun Shi authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

VisionCLIP: An Med-AIGC based Ethical Language-Image Foundation Model for Generalizable Retina Image Analysis.

Hao Wei, Bowen Liu, Minqing Zhang, Peilun Shi, Wu Yuan

CoRR, 2024

CauDR: A causality-inspired domain generalization framework for fundus-based diabetic retinopathy grading.

Hao Wei, Peilun Shi, Juzheng Miao, Mingqin Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan

Comput. Biol. Medicine, 2024

Leveraging Multimodal Fusion for Enhanced Diagnosis of Multiple Retinal Diseases in Ultra-Wide Octa.

Hao Wei, Peilun Shi, Guitao Bai, Minqing Zhang, Shuangle Li, Wu Yuan

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Ningli Wang, Dong Xu, Benny P. L. Lo

IEEE J. Biomed. Health Informatics, December, 2023

Unraveling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review.

Mehmood Nawaz, Adilet Uvaliyev, Khadija Bibi, Hao Wei, Sai Mu Dalike Abaxi, Anum Masood, Peilun Shi, Ho-Pui Ho, Wu Yuan

Comput. Medical Imaging Graph., September, 2023

A Step Towards Conditional Autonomy - Robotic Appendectomy.

Ruiyang Zhang, Junhong Chen, Zeyu Wang, Ziqi Yang, Yunxiao Ren, Peilun Shi, James Calo, Kyle Lam, Sanjay Purkayastha, Benny Lo

IEEE Robotics Autom. Lett., May, 2023

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

Jianing Qiu, Jian Wu, Hao Wei, Peilun Shi, Minqing Zhang, Yunyun Sun, Lin Li, Hanruo Liu, Hongyi Liu, Simeng Hou, Yuyang Zhao, Xuehui Shi, Junfang Xian, Xiaoxia Qu, Sirui Zhu, Lijie Pan, Xiaoniao Chen, Xiaojia Zhang, Shuai Jiang, Kebing Wang, Chenlong Yang, Mingqiang Chen, Sujie Fan, Jianhua Hu, Aiguo Lv, Hui Miao, Li Guo, Shujun Zhang, Cheng Pei, Xiaojuan Fan, Jianqin Lei, Ting Wei, Junguo Duan, Chun Liu, Xiaobo Xia, Siqi Xiong, Junhong Li, Benny Lo, Yih Chung Tham, Tien Yin Wong, Ningli Wang, Wu Yuan

CoRR, 2023

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

Hao Wei, Peilun Shi, Juzheng Miao, Minqing Zhang, Guitao Bai, Jianing Qiu, Furui Liu, Wu Yuan

CoRR, 2023

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

Peilun Shi, Jianing Qiu, Sai Mu Dalike Abaxi, Hao Wei, Frank P.-W. Lo, Wu Yuan

CoRR, 2023

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

Jianing Qiu, Lin Li, Jiankai Sun, Jiachuan Peng, Peilun Shi, Ruiyang Zhang, Yinzhao Dong, Kyle Lam, Frank P.-W. Lo, Bo Xiao, Wu Yuan, Dong Xu, Benny Lo

CoRR, 2023

EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions.

Peilun Shi, Jiachuan Peng, Jianing Qiu, Xinwei Ju, Frank Po Wen Lo, Benny Lo

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

2022

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

Xinwei Ju, Frank Po Wen Lo, Jianing Qiu, Peilun Shi, Jiachuan Peng, Benny Lo

CoRR, 2022

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

Jiachuan Peng, Peilun Shi, Jianing Qiu, Xinwei Ju, Frank P.-W. Lo, Xiao Gu, Wenyan Jia, Tom Baranowski, Matilda Steiner-Asiedu, Alex K. Anderson, Megan A. McCrory, Edward Sazonov, Mingui Sun, Gary Frost, Benny Lo

CoRR, 2022