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Zhenzhe Lin

Early detection of visual impairment in young children using a smartphone-based deep learning system
2023 · Wenben Chen, Ruiyang Li, et al. · Nature Medicine · 73
Development and Evaluation of a Retrieval-Augmented Large Language Model Framework for Ophthalmology
2024 · Ming-Jie Luo, Jianyu Pang, et al. · JAMA Ophthalmology · 66
Machine learning models for prognosis prediction in endodontic microsurgery
2022 · Yang Qu, Zhenzhe Lin, et al. · Journal of Dentistry · 56
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Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer
2021 · Yuhong Huang, Wenben Chen, et al. · Frontiers in Bioengineering and Biotechnology · 35
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LensAge index as a deep learning-based biological age for self-monitoring the risks of age-related diseases and mortality
2023 · Ruiyang Li, Wenben Chen, et al. · Nature Communications · 30
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Prediction of Visual Acuity after anti-VEGF Therapy in Diabetic Macular Edema by Machine Learning
2022 · Ying Zhang, Fabao Xu, et al. · Journal of Diabetes Research · 28
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DeepFundus: A flow-cytometry-like image quality classifier for boosting the whole life cycle of medical artificial intelligence
2023 · Lixue Liu, Xiaohang Wu, et al. · Cell Reports Medicine · 26
Deep Learning Performance of Ultra-Widefield Fundus Imaging for Screening Retinal Lesions in Rural Locales
2023 · Tingxin Cui, Duoru Lin, et al. · JAMA Ophthalmology · 25
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An artificial intelligence system for the whole process from diagnosis to treatment suggestion of ischemic retinal diseases
2023 · Xinyu Zhao, Zhenzhe Lin, et al. · Cell Reports Medicine · 25
WiEat: Fine-grained Device-free Eating Monitoring Leveraging Wi-Fi Signals
2020 · Zhenzhe Lin, Yucheng Xie, et al. · Proceedings/Proceedings - International Conference on Computer Communications and Networks · 25
Noninvasive early prediction of preeclampsia in pregnancy using retinal vascular features
2025 · Yuxuan Wu, Lixia Shen, et al. · npj Digital Medicine · 22
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DeepQuality improves infant retinopathy screening
2023 · Longhui Li, Duoru Lin, et al. · npj Digital Medicine · 13
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Machine learning model for predicting corneal stiffness and identifying keratoconus based on ocular structures
2024 · Longhui Li, Yifan Xiang, et al. · Intelligent Medicine · 12
Deep Learning for Detecting Subretinal Fluid and Discerning Macular Status by Fundus Images in Central Serous Chorioretinopathy
2021 · Fabao Xu, Shaopeng Liu, et al. · Frontiers in Bioengineering and Biotechnology · 12
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An artificial intelligence and blockchain technology-based data management framework for multicenter randomized controlled trials
2025 · Dongyuan Yun, Xiaohang Wu, et al. · 中国科学通报：英文版 · 9
Optical coherence tomography angiography for the characterisation of retinal microvasculature alterations in pregnant patients with anaemia: a nested case‒control study
2022 · Yuxuan Wu, Dongyu Wang, et al. · British Journal of Ophthalmology · 7
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Prediction of testicular histology in azoospermia patients through deep learning-enabled two-dimensional grayscale ultrasound
2024 · Jia-Ying Hu, Zhen-Zhe Lin, et al. · Asian Journal of Andrology · 6
WiEat: Fine-grained Device-free Eating Monitoring Leveraging Wi-Fi Signals
2020 · Wang, Chen, Lin, Zhenzhe, et al. · arXiv (Cornell University) · 6
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Wi-Fi-Enabled Automatic Eating Moment Monitoring Using Smartphones
2020 · Zhenzhe Lin, Yucheng Xie, et al. · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 6
The national multi-center artificial intelligent myopia prevention and control project
2021 · Xun Wang, Yahan Yang, et al. · Intelligent Medicine · 5
Protocol for performing deep learning-based fundus fluorescein angiography image analysis with classification and segmentation tasks
2024 · Zhenzhe Lin, Xinyu Zhao, et al. · STAR Protocols · 1
Harnessing AI–Human Synergy for Deep Learning Research Analysis in Ophthalmology with Large Language Models Assisting Humans
2023 · Ming-Jie Luo, Weixing Zhang, et al. · SSRN Electronic Journal · 1
Benign and Malignant Classification Model of Pulmonary Nodules Based on Residual Neural Network
2019 · Zhenzhe Lin, Guitang Wang, et al. · 1
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DeepAdapter: a generalisable algorithm integrating self-supervised learning and unsupervised domain adaptation for robust retinopathy of prematurity screening
2026 · Jiaman Zhao, Longhui Li, et al. · British Journal of Ophthalmology
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Self-Supervised Learning and Its Applications in Ophthalmology
2024 · Haotian Lin, Jiaman Zhao, et al.
Works count: 29
Citation count: 489
H-index: 12
I10-index: 14
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