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Cecilia S. Lee
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2020 – today
- 2025
- [e4]Bhavna Josephine Antony, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee:
Ophthalmic Medical Image Analysis - 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15188, Springer 2025, ISBN 978-3-031-73118-1 [contents] - [e3]Federica Proietto Salanitri, Serestina Viriri, Ulas Bagci, Pallavi Tiwari, Boqing Gong, Concetto Spampinato, Simone Palazzo, Giovanni Bellitto, Nancy Zlatintsi, Panagiotis Paraskevas Filntisis, Cecilia S. Lee, Aaron Y. Lee:
Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine - First International Workshop, AIPAD 2024 and First International Workshop, PILM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings. Lecture Notes in Computer Science 15197, Springer 2025, ISBN 978-3-031-73482-3 [contents] - 2024
- [i5]Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu:
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR abs/2406.09317 (2024) - [i4]Zixuan Liu, Hanwen Xu, Addie Woicik, Linda G. Shapiro, Marian Blazes, Yue Wu, Cecilia S. Lee, Aaron Y. Lee, Sheng Wang:
OCTCube: A 3D foundation model for optical coherence tomography that improves cross-dataset, cross-disease, cross-device and cross-modality analysis. CoRR abs/2408.11227 (2024) - 2023
- [e2]Bhavna Josephine Antony, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee, Yalin Zheng:
Ophthalmic Medical Image Analysis - 10th International Workshop, OMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings. Lecture Notes in Computer Science 14096, Springer 2023, ISBN 978-3-031-44012-0 [contents] - 2022
- [e1]Bhavna Josephine Antony, Huazhu Fu, Cecilia S. Lee, Tom J. MacGillivray, Yanwu Xu, Yalin Zheng:
Ophthalmic Medical Image Analysis - 9th International Workshop, OMIA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13576, Springer 2022, ISBN 978-3-031-16524-5 [contents]
2010 – 2019
- 2018
- [i3]Cecilia S. Lee, Ariel J. Tyring, Yue Wu, Sa Xiao, Ariel S. Rokem, Nicolaas P. Deruyter, Qinqin Zhang, Adnan Tufail, Ruikang K. Wang, Aaron Y. Lee:
Generating retinal flow maps from structural optical coherence tomography with artificial intelligence. CoRR abs/1802.08925 (2018) - [i2]Joanne C. Wen, Cecilia S. Lee, Pearse A. Keane, Sa Xiao, Yue Wu, Ariel Rokem, Philip P. Chen, Aaron Y. Lee:
Forecasting Future Humphrey Visual Fields Using Deep Learning. CoRR abs/1804.04543 (2018) - 2016
- [j1]Aaron Y. Lee, Cecilia S. Lee, Russell N. Van Gelder:
Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations. BMC Bioinform. 17: 292 (2016) - [i1]Cecilia S. Lee, Doug M. Baughman, Aaron Y. Lee:
Deep learning is effective for the classification of OCT images of normal versus Age-related Macular Degeneration. CoRR abs/1612.04891 (2016)
Coauthor Index
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