Dongao Ma

Orcid: 0000-0002-7440-429X

According to our database1, Dongao Ma authored at least 11 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Ark + : Supervised training a single high-performance AI foundation model from many differently labeled datasets - no label consolidation required.
Medical Image Anal., 2026

2025
A fully open AI foundation model applied to chest radiography.
Nat., July, 2025

POPAR: Patch Order Prediction and Appearance Recovery for self-supervised learning in chest radiography.
Medical Image Anal., 2025

Foundation X: Integrating Classification, Localization, and Segmentation Through Lock-Release Pretraining Strategy for Chest X-Ray Analysis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Cross-Modal Knowledge Distillation for Chest Radiographic Diagnosis via Embedding Expansion, Reconstruction, and Classification.
Proceedings of the Foundation Models for General Medical AI - Third International Workshop, 2025

2024
ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
POPAR: Patch Order Prediction and Appearance Recovery for Self-supervised Medical Image Analysis.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Benchmarking and Boosting Transformers for Medical Image Classification.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

2020
BM-IQE: An Image Quality Evaluator with Block-Matching for Both Real-Life Scenes and Remote Sensing Scenes.
Sensors, 2020

2019
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline In Vitro.
IEEE Geosci. Remote. Sens. Lett., 2019


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