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Diping Song
Observed name:
Song, Diping
Institution:
Shanghai Artificial Intelligence Laboratory
Observed institutions:
Guangzhou University of Chinese Medicine,
Chinese Academy of Sciences,
Shenzhen Institutes of Advanced Technology,
University of Chinese Academy of Sciences,
Shanghai Artificial Intelligence Laboratory
ORCID:
0000-0002-5413-7702
Observed ORCID:
0000-0002-5413-7702
OpenAlex ID:
A5039264280
Automatic differentiation of Glaucoma visual field from non-glaucoma visual filed using deep convolutional neural network
2018
·
Fei Li
, Zhe Wang
, et al.
·
BMC Medical Imaging
·
125
PDF
Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy
2021
·
Jian Xiong
, Fei Li
, et al.
·
Ophthalmology
·
113
Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
2020
·
Fei Li
, Diping Song
, et al.
·
npj Digital Medicine
·
69
PDF
Deep Relation Transformer for Diagnosing Glaucoma With Optical Coherence Tomography and Visual Field Function
2021
·
Diping Song
, Bin Fu
, et al.
·
IEEE Transactions on Medical Imaging
·
64
Depth driven people counting using deep region proposal network
2017
·
Diping Song
, Yu Qiao
, et al.
·
IEEE International Conference on Information and Automation (ICIA)
·
38
Understanding natural language: Potential application of large language models to ophthalmology
2024
·
Zefeng Yang
, Deming Wang
, et al.
·
Asia-Pacific Journal of Ophthalmology
·
33
VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced With Clinical Knowledge
2025
·
Zihan Li
, Diping Song
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
18
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
2021
·
Zijie Chen
, Cheng Li
, et al.
·
Lecture notes in computer science
·
11
PDF
Asynchronous feature regularization and cross-modal distillation for OCT based glaucoma diagnosis
2022
·
Diping Song
, Fei Li
, et al.
·
Computers in Biology and Medicine
·
7
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
2021
·
Junjun He
, Jin Ye
, et al.
·
Lecture notes in computer science
·
5
PDF
Efficient T staging in nasopharyngeal carcinoma via deep Learning-Based Multi-Modal classification
2025
·
Dili Song
, Xu Han
, et al.
·
European Journal of Radiology
·
3
Correction to: Automatic differentiation of Glaucoma visual field from non-glaucoma visual field using deep convolutional neural network
2019
·
Fei Li
, Zhe Wang
, et al.
·
BMC Medical Imaging
·
3
PDF
RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
2025
·
Junzhi Ning
, Cheng Tang
, et al.
·
Lecture notes in computer science
·
2
PDF
VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge
2024
·
Li, Zihan
, Song, Diping
, et al.
·
arXiv (Cornell University)
·
2
PDF
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
2025
·
Ming Hu
, Kun Yuan
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
1
PDF
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
2025
·
Hu, Ming
, Ma, Chenglong
, et al.
·
arXiv (Cornell University)
·
1
PDF
MedVTok: A General-Purpose Medical Visual Tokenizer
2026
·
Ma, Chenglong
, Ji, Yuanfeng
, et al.
·
arXiv (Cornell University)
PDF
Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent
2026
·
Wang, Chenyu
, Liu, Yi
, et al.
·
arXiv (Cornell University)
PDF
Artificial intelligence and glaucoma structure-function map: a systematic review
2026
·
Deming Wang
, Zefeng Yang
, et al.
·
BMC Ophthalmology
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
2022
·
Fei Li
, Diping Song
, et al.
·
npj Digital Medicine
PDF
Shenzhen Institutes of Advanced Technology, CAS, China at TRECVID INS 2016.
2016
·
Ye Jin
, Linjie Xing
, et al.
·
TRECVID
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Works count:
28
Citation count:
497
H-index:
8
I10-index:
8
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