81 results on '"Zhou, S. Kevin"'
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2. Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts
3. Constrain Latent Space for Schizophrenia Classification via Dual Space Mapping Net
4. BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
5. Deep Generative Model for Synthetic-CT Generation with Uncertainty Predictions
6. Can You Trust Predictive Uncertainty Under Real Dataset Shifts in Digital Pathology?
7. Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty
8. Probabilistic 3D Surface Reconstruction from Sparse MRI Information
9. Cartilage Segmentation in High-Resolution 3D Micro-CT Images via Uncertainty-Guided Self-training with Very Sparse Annotation
10. Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling
11. Knowledge Distillation from Multi-modal to Mono-modal Segmentation Networks
12. Intra-operative Forecasting of Growth Modulation Spine Surgery Outcomes with Spatio-Temporal Dynamic Networks
13. Heterogeneity Measurement of Cardiac Tissues Leveraging Uncertainty Information from Image Segmentation
14. Self-supervision on Unlabelled or Data for Multi-person 2D/3D Human Pose Estimation
15. An Effective Data Refinement Approach for Upper Gastrointestinal Anatomy Recognition
16. Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation
17. Realistic Adversarial Data Augmentation for MR Image Segmentation
18. Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning
19. Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation
20. Synthetic Sample Selection via Reinforcement Learning
21. Spatio-Temporal Consistency and Negative Label Transfer for 3D Freehand US Segmentation
22. Learning to Segment Anatomical Structures Accurately from One Exemplar
23. Uncertainty Estimates as Data Selection Criteria to Boost Omni-Supervised Learning
24. Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model
25. Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet
26. Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation
27. Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean
28. Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI
29. Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy
30. Dual-Task Self-supervision for Cross-modality Domain Adaptation
31. Automatic Data Augmentation for 3D Medical Image Segmentation
32. Semi-supervised Medical Image Classification with Global Latent Mixing
33. Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images
34. Deep Semi-supervised Knowledge Distillation for Overlapping Cervical Cell Instance Segmentation
35. Improving Dense Pixelwise Prediction of Epithelial Density Using Unsupervised Data Augmentation for Consistency Regularization
36. Local and Global Structure-Aware Entropy Regularized Mean Teacher Model for 3D Left Atrium Segmentation
37. Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
38. DMNet: Difference Minimization Network for Semi-supervised Segmentation in Medical Images
39. Knowledge-Guided Pretext Learning for Utero-Placental Interface Detection
40. Double-Uncertainty Weighted Method for Semi-supervised Learning
41. Deep Reinforcement Active Learning for Medical Image Classification
42. Region-of-Interest Guided Supervoxel Inpainting for Self-supervision
43. Source-Relaxed Domain Adaptation for Image Segmentation
44. UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation
45. SALAD: Self-supervised Aggregation Learning for Anomaly Detection on X-Rays
46. Scribble-Based Domain Adaptation via Co-segmentation
47. Self Domain Adapted Network
48. Few Is Enough: Task-Augmented Active Meta-learning for Brain Cell Classification
49. User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation
50. Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides
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