69 results on '"Zhou, S. Kevin"'
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2. Distortion-Disentangled Contrastive Learning
3. Which images to label for few-shot medical landmark detection?
4. Semi-Supervised Pseudo-Healthy Image Synthesis via Confidence Augmentation
5. DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction.
6. Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement
7. Shallow Feature Matters for Weakly Supervised Object Localization
8. Joint Coronary Centerline Extraction And Lumen Segmentation From Ccta Using Cnntracker And Vascular Graph Convolutional Network
9. DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior
10. SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis
11. Label-Free Segmentation of COVID-19 Lesions in Lung CT.
12. Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer.
13. Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis.
14. Semi-Supervised Natural Face De-Occlusion.
15. A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises.
16. Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation
17. High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors.
18. ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction.
19. Anatomical landmark detection using multiple instance boosting with spatial regularization
20. Fast boosting trees for classification, pose detection, and boundary detection on a GPU
21. Multiple object detection by sequential monte carlo and Hierarchical Detection Network
22. Lymph node detection in 3-D chest CT using a spatial prior probability
23. Constrained marginal space learning for efficient 3D anatomical structure detection in medical images
24. Robust guidewire tracking in fluoroscopy
25. Hierarchical, learning-based automatic liver segmentation
26. A probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure
27. A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images.
28. References.
29. CHAPTER 5: Future Research Directions: 5.2 MULTI-VIEW KINEMATIC CHAIN MODELS FOR HUMAN MOTION RECOVERY.
30. CHAPTER 4: Human Activity Recognition: 4.1 LITERATURE REVIEW.
31. CHAPTER 5: Future Research Directions: 5.1 THREE-DIMENSIONAL FACE MODELING USING SfM.
32. CHAPTER 4: Human Activity Recognition: 4.5 DISCUSSION: SHAPE-BASED ACTIVITY MODELS.
33. CHAPTER 4: Human Activity Recognition: 4.2 ACTIVITY MODELING USING KENDALL'S SHAPE THEORY.
34. CHAPTER 4: Human Activity Recognition: 4.3 ACTIVITY MODELING USING 3D SHAPE.
35. CHAPTER 3: Human Recognition Using Gait: 3.1 REVIEW OF EXISTING WORK.
36. CHAPTER 3: Human Recognition Using Gait: 3.3 VIEW INVARIANT GAIT RECOGNITION.
37. CHAPTER 3: Human Recognition Using Gait: 3.4 ROLE OF SHAPE AND DYNAMICS IN GAIT RECOGNITION.
38. CHAPTER 3: Human Recognition Using Gait: 3.2 HMM FRAMEWORK FOR GAIT RECOGNITION.
39. CHAPTER 2: Human Recognition Using Face: 2.2 FACE RECOGNITION FROM STILL IMAGES.
40. CHAPTER 2: Human Recognition Using Face: 2.3 FACE RECOGNITION FROM VIDEO.
41. CHAPTER 1: Introduction: 1.1 OVERVIEW OF RECOGNITION ALGORITHMS.
42. CHAPTER 2: Human Recognition Using Face: 2.4 EVALUATION OF FACE RECOGNITION TECHNOLOGIES.
43. Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN).
44. Automatic Detection and Segmentation of Lymph Nodes From CT Data.
45. CHAPTER 5: Future Research Directions: 5.4 DEVELOPING AN ONTOLOGY OF ACTIVITY MODELING.
46. CHAPTER 5: Future Research Directions: 5.3 FUSION OF FACE AND GAIT.
47. CHAPTER 2: Human Recognition Using Face: 2.5 CONCLUSIONS.
48. CHAPTER 1: Introduction.
49. CHAPTER 6: Conclusions.
50. CHAPTER 4: Human Activity Recognition: 4.4 VIDEO SUMMARIZATION.
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