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1. Terahertz Nondestructive Testing Method of Oil-paper Insulation Debonding and Foreign Matter Defects.

2. Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From the University of Texas at Austin.

3. Critique of ”MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Nanyang Technological University.

4. Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From ETH Zürich.

5. Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Tsinghua University.

6. Reinforcement Learning Based Diagnosis and Prediction for COVID-19 by Optimizing a Mixed Cost Function From CT Images.

7. Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University.

8. Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review.

9. High-Accuracy Subpixel Image Registration With Large Displacements.

10. Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory.

11. Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction.

12. Type B Ground-Fault Protection on Adjustable Frequency Drives.

13. CyCoSeg: A Cyclic Collaborative Framework for Automated Medical Image Segmentation.

14. Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma.

15. FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction.

16. Noise Reduction in CT Using Learned Wavelet-Frame Shrinkage Networks.

17. Virtual Engineering of a Fusion Reactor: Application to Divertor Design, Manufacture, and Testing.

18. Evaluation on current transformer assessment method based on investigation result.

19. An Ensemble of U-Net Models for Kidney Tumor Segmentation With CT Images.

20. Research on 3D Reconstruction Algorithm of Medical CT Image Based on Parallel Contour.

21. An Improved Method of Total Variation Superiorization Applied to Reconstruction in Proton Computed Tomography.

22. Constrained Deep Weak Supervision for Histopathology Image Segmentation.

23. 3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation.

24. HD-RDS-UNet: Leveraging Spatial-Temporal Correlation Between the Decoder Feature Maps for Lymphoma Segmentation.

25. SDoF-Net: Super Depth of Field Network for Cell Detection in Leucorrhea Micrograph.

26. HID: The Hybrid Image Decomposition Model for MRI and CT Fusion.

27. The ML-EM Algorithm is Not Optimal for Poisson Noise.

28. Research on Preprocessing Algorithm for PET-CT Image Registration.

29. Towards Non-Invasive Lung Tumor Tracking Based on Patient Specific Model of Respiratory System.

30. Highly Efficient and Broadband Hybrid Photodetector Based on 2-D Layered Graphene/CTS Quantum Dots.

31. A Tensor Factorization Method for 3-D Super Resolution With Application to Dental CT.

32. 3-D Reconstruction Method for Complex Pore Structures of Rocks Using a Small Number of 2-D X-Ray Computed Tomography Images.

33. Learning Cross-Modality Representations From Multi-Modal Images.

34. Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction.

35. Guest Editorial Special Issue on Spine Imaging, Image-Based Modeling, and Image Guided Intervention.

36. Boundary Guided Semantic Learning for Real-Time COVID-19 Lung Infection Segmentation System.

37. MFL-Net: An Efficient Lightweight Multi-Scale Feature Learning CNN for COVID-19 Diagnosis From CT Images.

38. Computer-Assisted 3-D Ultrasound Probe Placement for Emergency Healthcare Applications.

39. MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection.

40. Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT.

41. 3D Feature Constrained Reconstruction for Low-Dose CT Imaging.

42. Spatial Resolution and Blurring Artifacts in Digital X-ray Tomosynthesis.

43. Cryo-Ultrasonic NDE: Ice–Cold Ultrasonic Waves for the Detection of Damage in Complex-Shaped Engineering Components.

44. Table of contents.

45. Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.

46. Lossless Compression of Medical Images Using 3-D Predictors.

47. Experimental and Analytical Study of Single-Phase Squirrel-Cage Induction Motor Considering End-Ring Porosity Rate.

48. Sam’s Net: A Self-Augmented Multistage Deep-Learning Network for End-to-End Reconstruction of Limited Angle CT.

49. AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?

50. A Fully Automated Method for 3D Individual Tooth Identification and Segmentation in Dental CBCT.