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1. Label-Free Nuclei Segmentation Using Intra-Image Self Similarity

2. UOD: Universal One-Shot Detection of Anatomical Landmarks

3. DiffULD: Diffusive Universal Lesion Detection

4. WeakPolyp: You only Look Bounding Box for Polyp Segmentation

5. FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification

6. Weakly Supervised Object Localization Through Inter-class Feature Similarity and Intra-class Appearance Consistency

7. DuDoTrans: Dual-Domain Transformer for Sparse-View CT Reconstruction

8. Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling

9. Undersampled MRI Reconstruction with Side Information-Guided Normalisation

10. Aggregative Self-supervised Feature Learning from Limited Medical Images

11. Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation

12. Learning Incrementally to Segment Multiple Organs in a CT Image

13. Rib Suppression in Digital Chest Tomosynthesis

14. BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting

15. Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection

16. Bounding Maps for Universal Lesion Detection

17. Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography

18. Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT

19. You only Learn Once: Universal Anatomical Landmark Detection

20. Conditional Training with Bounding Map for Universal Lesion Detection

21. Perceptual Quality Assessment of Chest Radiograph

22. DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images

23. Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation

24. U-DuDoNet: Unpaired Dual-Domain Network for CT Metal Artifact Reduction

25. Universal Undersampled MRI Reconstruction

26. A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks

27. Shallow Attention Network for Polyp Segmentation

28. Decomposition-and-Fusion Network for HE-Stained Pathological Image Classification

29. ADSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation

30. Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images

31. Select, Attend, and Transfer: Light, Learnable Skip Connections

32. 3D U-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation

33. Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction

34. Encoding CT Anatomy Knowledge for Unpaired Chest X-ray Image Decomposition

35. Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

36. 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

37. Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes

38. Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

39. Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning

40. Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

42. Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images

44. Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints

45. Segmentation of Multiple Knee Bones from CT for Orthopedic Knee Surgery Planning

48. Introduction

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