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1. Pathology Synthesis of 3D Consistent Cardiac MR Images Using 2D VAEs and GANs

2. Fusion-S2iGan

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3. Fusion-S2iGan

4. 3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework

5. Exploring Continual Learning of Diffusion Models

6. Automated visual inspection of CMS HGCAL silicon sensor surface using an ensemble of a deep convolutional autoencoder and classifier

7. Video-SwinUNet:Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation

8. Automatic Analysis of Human Body Representations in Western Art

9. Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks

10. Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis

11. The role of noise in denoising models for anomaly detection in medical images

12. Why is the winner the best?

13. Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models

14. Understanding metric-related pitfalls in image analysis validation

15. Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models

16. Rethinking Generalization:The Impact of Annotation Style on Medical Image Segmentation

17. Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall

18. Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset

19. Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset

20. Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition

21. Flow-based GAN for 3D Point Cloud Generation from a Single Image

22. ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images:Dataset, Methods and Results

23. Optimal Transport-based Graph Matching for 3D retinal OCT image registration

24. Imaging with Equivariant Deep Learning

25. sim2real: Cardiac MR Image Simulation-to-Real Translation via Unsupervised GANs

26. Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks

27. Learned reconstruction methods with convergence guarantees

28. Unsupervised Learning of the Total Variation Flow

29. Swin transformer for fast MRI

30. Machine learning based event classification for the energy-differential measurement of the $^\text{nat}$C(n,p) and $^\text{nat}$C(n,d) reactions

31. End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

32. Calorimetry with deep learning: particle simulation and reconstruction for collider physics

33. FragNet

34. 4D semantic cardiac magnetic resonance image synthesis on XCAT anatomical model

35. Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images

36. OptGAN

37. OptGAN

38. AI-based medical e-diagnosis for fast and automatic ventricular volume measurement in patients with normal pressure hydrocephalus

39. Biomedical image analysis competitions:The state of current participation practice

40. Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods

41. Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis

42. Deep Learning-Based Carotid Artery Vessel Wall Segmentation in Black-Blood MRI Using Anatomical Priors

43. Worst-Case Morphs

44. Visually Grounded Reasoning across Languages and Cultures

45. Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks

46. GR-RNN

47. Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control

48. A Simple Framework for 3D Lensless Imaging with Programmable Masks

49. MMChat: Multi-Modal Chat Dataset on Social Media

50. Forward-Looking Sonar Patch Matching