| SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline In Vitro D Ma, P Tang, L Zhao IEEE Geoscience and Remote Sensing Letters 16 (7), 1046-1050, 2019 | 99 | 2019 |
| 深度学习图像数据增广方法研究综述 马岽奡， 唐娉， 赵理君， 张正 中国图象图形学报, 2021 | 14 | 2021 |
| Benchmarking and boosting transformers for medical image classification DA Ma, MR Hosseinzadeh Taher, J Pang, NUI Islam, F Haghighi, ... MICCAI Workshop on Domain Adaptation and Representation Transfer, 12-22, 2022 | 13 | 2022 |
| Popar: Patch order prediction and appearance recovery for self-supervised medical image analysis J Pang, F Haghighi, DA Ma, NU Islam, MR Hosseinzadeh Taher, ... MICCAI Workshop on Domain Adaptation and Representation Transfer, 77-87, 2022 | 5 | 2022 |
| BM-IQE: An image quality evaluator with block-matching for both real-life scenes and remote sensing scenes N Xu, D Ma, G Ren, Y Huang Sensors 20 (12), 3472, 2020 | 3 | 2020 |
| Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance DA Ma, J Pang, MB Gotway, J Liang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Systems, methods, and apparatuses for implementing self-supervised domain-adaptive pre-training via a transformer for use with medical image classification DA Ma, J Pang, NU Islam, MRH Taher, F Haghighi, J Liang US Patent App. 18/126,318, 2023 | 1 | 2023 |
| Systems, methods, and apparatuses for implementing patch order prediction and appearance recovery (popar) based image processing for self-supervised learning medical image analysis J Pang, F Haghighi, DA Ma, NU Islam, MRH Taher, J Liang US Patent App. 18/241,809, 2024 | | 2024 |
| Systems, methods, and apparatuses for implementing self-supervised visual representation learning using order and appearance recovery on a vision transformer J Pang, DA Ma, J Liang US Patent App. 18/126,317, 2023 | | 2023 |
Jiaxuan PangArizona State University在 asu.edu 的电子邮件经过验证
