One-shot active learning for image segmentation via contrastive learning and diversity-based sampling Q Jin, M Yuan, Q Qiao, Z Song Knowledge-Based Systems 241, 108278, 2022 | 48 | 2022 |
Deep active learning models for imbalanced image classification Q Jin, M Yuan, H Wang, M Wang, Z Song Knowledge-Based Systems 257, 109817, 2022 | 44 | 2022 |
Cold-start active learning for image classification Q Jin, M Yuan, S Li, H Wang, M Wang, Z Song Information sciences 616, 16-36, 2022 | 41 | 2022 |
A comprehensive survey on deep active learning in medical image analysis H Wang, Q Jin, S Li, S Liu, M Wang, Z Song Medical Image Analysis, 103201, 2024 | 32 | 2024 |
Pointclm: A contrastive learning-based framework for multi-instance point cloud registration M Yuan, Z Li, Q Jin, X Chen, M Wang European Conference on Computer Vision, 595-611, 2022 | 21 | 2022 |
A comprehensive survey on deep active learning and its applications in medical image analysis H Wang, Q Jin, S Li, S Liu, M Wang, Z Song arXiv preprint arXiv:2310.14230, 2023 | 8 | 2023 |
Density-based one-shot active learning for image segmentation Q Jin, S Li, X Du, M Yuan, M Wang, Z Song Engineering Applications of Artificial Intelligence 126, 106805, 2023 | 7 | 2023 |
Brain age prediction via cross-stratified ensemble learning X Li, Z Hao, D Li, Q Jin, Z Tang, X Yao, T Wu NeuroImage 299, 120825, 2024 | 5 | 2024 |
Rethinking deep active learning for medical image segmentation: A diffusion and angle-based framework L Qu, Q Jin, K Fu, M Wang, Z Song Biomedical Signal Processing and Control 96, 106493, 2024 | 2 | 2024 |
MDAL: Modality-difference-based active learning for multimodal medical image analysis via contrastive learning and pointwise mutual information H Wang, Q Jin, X Du, L Wang, Q Guo, H Li, M Wang, Z Song Computerized Medical Imaging and Graphics 123, 102544, 2025 | | 2025 |
Fetal Weight Estimation Based on Ultrasound Imaging Q Jin, M Wang | | 2018 |