フォロー
Haonan Wang
タイトル
引用先
引用先
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer
H Wang, P Cao, J Wang, OR Zaiane
🏅 AAAI Conference on Artificial Intelligence (Most Influential Paper of AAAI …, 2022
7822022
DHC: Dual-debiased heterogeneous co-training framework for class-imbalanced semi-supervised medical image segmentation
H Wang, X Li
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
412023
MS-SSD: Multi-scale single shot detector for ship detection in remote sensing images
G Wen, P Cao, H Wang, H Chen, X Liu, J Xu, O Zaiane
Applied Intelligence 53 (2), 1586-1604, 2023
392023
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation
H Wang, X Li
Advances in Neural Information Processing Systems (NeurIPS), 2023
372023
Narrowing the semantic gaps in u-net with learnable skip connections: The case of medical image segmentation
H Wang, P Cao, J Yang, O Zaiane
Neural Networks 178, 106546, 2024
242024
Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images
P Cao, Q Hou, R Song, H Wang, O Zaiane
Computers in Biology and Medicine 144, 105341, 2022
222022
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation
H Wang, P Cao, J Yang, O Zaiane
Health information science and systems 11 (1), 10, 2023
202023
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation
H Wang*, Q Zhang*, Y Li, X Li
IEEE / CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
122024
An improved breast cancer nuclei segmentation method based on unet++
H Wang, Y Li, Z Luo
Proceedings of the 2020 6th International Conference on Computing and …, 2020
82020
Touchstone benchmark: Are we on the right way for evaluating AI algorithms for medical segmentation?
PRAS Bassi, W Li, Y Tang, F Isensee, Z Wang, J Chen, YC Chou, ...
arXiv preprint arXiv:2411.03670, 2024
32024
Interpretable bilingual multimodal large language model for diverse biomedical tasks
L Wang, H Wang, H Yang, J Mao, Z Yang, J Shen, X Li
The Thirteenth International Conference on Learning Representations (ICLR), 2024
32024
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
X Xu, Y Hsi, H Wang, X Li
International Conference on Neural Information Processing (ICONIP), 2023, 2023
2*2023
GlandSAM: Injecting Morphology Knowledge into Segment Anything Model for Label-free Gland Segmentation
Q Zhang, Y Li, C Xue, H Wang, X Li
IEEE Transactions on Medical Imaging, 2024
2024
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation
Q Zhang*, H Wang*, X Li
arXiv preprint arXiv:2407.07763, 2024
2024
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