Ming Ma
Affiliations:- Yeshiva University, NY, USA
- Winona State University, Department of Computer Science, MN, USA
- Stanford University, School of Medicine, CA, USA
- Stony Brook University, Department of Computer Science, USA (PhD 2017)
According to our database1,
Ming Ma
authored at least 13 papers
between 2019 and 2025.
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Bibliography
2025
MS-HyFS: A novel multiscale hybrid framework with Scalable electrodes for motor imagery classification.
Biomed. Signal Process. Control., 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
2024
DViTPolyp: Small Polyp Detection in Colonoscopy Videos based on Deep Vision Transformer.
Proceedings of the International Conference on Electrical, 2024
2023
MuLHiTA: A Novel Multiclass Classification Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
TL-MSE<sup>2</sup>-Net: Transfer learning based nested model for cerebrovascular segmentation with aneurysms.
Comput. Biol. Medicine, December, 2023
Rescon-Net: Transfer Learning Based Nested Model for Cerebrovascular Segmentation with Aneurysm.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
A Novel Framework for Forecasting Mental Stress Levels Based on Physiological Signals.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
3D vessel-like structure segmentation in medical images by an edge-reinforced network.
Medical Image Anal., 2022
$\mathrm {M^{3}S \text{- }CNN}$: Resting-State EEG Based Multimodal and Multiscale Feature Extraction for Student Behavior Prediction in Class.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2019
A Method Based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019