Ikuti
Zhongyi Han
Zhongyi Han
Nama lainnya韩忠义
KAUST
Email yang diverifikasi di kaust.edu.sa - Beranda
Judul
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Dikutip oleh
Tahun
Breast cancer multi-classification from histopathological images with structured deep learning model
Z Han, B Wei, Y Zheng, Y Yin, K Li, S Li
Scientific reports 7 (1), 4172, 2017
8002017
Accurate screening of COVID-19 using attention-based deep 3D multiple instance learning
Z Han, B Wei, Y Hong, T Li, J Cong, X Zhu, H Wei, W Zhang
IEEE transactions on medical imaging 39 (8), 2584-2594, 2020
3332020
Spine-GAN: Semantic segmentation of multiple spinal structures
Z Han, B Wei, A Mercado, S Leung, S Li
Medical image analysis 50, 23-35, 2018
2092018
Deep learning model based breast cancer histopathological image classification
B Wei, Z Han, X He, Y Yin
2017 IEEE 2nd international conference on cloud computing and big data …, 2017
1902017
Exploring domain-invariant parameters for source free domain adaptation
F Wang, Z Han, Y Gong, Y Yin
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1032022
Robust screening of covid-19 from chest x-ray via discriminative cost-sensitive learning
T Li, Z Han, B Wei, Y Zheng, Y Hong, J Cong
arXiv preprint arXiv:2004.12592, 2020
772020
Safe-student for safe deep semi-supervised learning with unseen-class unlabeled data
R He, Z Han, X Lu, Y Yin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
512022
Unifying neural learning and symbolic reasoning for spinal medical report generation
Z Han, B Wei, X Xi, B Chen, Y Yin, S Li
Medical image analysis 67, 101872, 2021
512021
Learning Transferable Parameters for Unsupervised Domain Adaptation
Z Han, H Sun, Y Yin
IEEE Transactions on Image Processing 31, 6424 - 6439, 2022
502022
Towards automatic report generation in spine radiology using weakly supervised framework
Z Han, B Wei, S Leung, J Chung, S Li
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
502018
Automated pathogenesis-based diagnosis of lumbar neural foraminal stenosis via deep multiscale multitask learning
Z Han, B Wei, S Leung, IB Nachum, D Laidley, S Li
Neuroinformatics 16, 325-337, 2018
482018
Learning to rectify for robust learning with noisy labels
H Sun, C Guo, Q Wei, Z Han, Y Yin
Pattern Recognition 124, 108467, 2022
392022
Not All Parameters Should be Treated Equally: Deep Safe Semi-Supervised Learning under Class Distribution Mismatch
R He, Z Han, Y Yang, Y Yin
AAAI 2022, 2022
322022
Towards Accurate and Robust Domain Adaptation under Noisy Environments
Z Han, XJ Gui, C Cui, Y Yin
International Joint Conference on Artificial Intelligence (IJCAI 2020), 2269 …, 2020
292020
MMCL-Net: spinal disease diagnosis in global mode using progressive multi-task joint learning
Y Hong, B Wei, Z Han, X Li, Y Zheng, S Li
Neurocomputing 399, 307-316, 2020
282020
Automated pancreas segmentation using recurrent adversarial learning
Y Ning, Z Han, L Zhong, C Zhang
2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018
212018
Mhpl: Minimum happy points learning for active source free domain adaptation
F Wang, Z Han, Z Zhang, R He, Y Yin
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
182023
Discriminability and transferability estimation: a bayesian source importance estimation approach for multi-source-free domain adaptation
Z Han, Z Zhang, F Wang, R He, W Su, X Xi, Y Yin
Proceedings of the AAAI conference on artificial intelligence 37 (6), 7811-7820, 2023
162023
How well does gpt-4v (ision) adapt to distribution shifts? a preliminary investigation
Z Han, G Zhou, R He, J Wang, X Xie, T Wu, Y Yin, S Khan, L Yao, T Liu, ...
ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation …, 2024
142024
Towards accurate and robust domain adaptation under multiple noisy environments
Z Han, XJ Gui, H Sun, Y Yin, S Li
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6460-6479, 2022
142022
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