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7. Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models

8. Beware of diffusion models for synthesizing medical images -- A comparison with GANs in terms of memorizing brain MRI and chest x-ray images

9. Efficient brain age prediction from 3D MRI volumes using 2D projections

10. Does an ensemble of GANs lead to better performance when training segmentation networks with synthetic images?

15. NUQ: A Noise Metric for Diffusion MRI via Uncertainty Discrepancy Quantification

16. Inflation of test accuracy due to data leakage in deep learning-based classification of OCT images

17. Bayesian Modeling of Effective and Functional Brain Connectivity using Hierarchical Vector Autoregressions

18. Evaluation of augmentation methods in classifying autism spectrum disorders from fMRI data with 3D convolutional neural networks

21. What is the best data augmentation for 3D brain tumor segmentation?

22. Does anatomical contextual information improve 3D U-Net based brain tumor segmentation?

23. Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE

24. Impact of intra-grain spin wave reflections on nano-contact spin torque oscillators

25. Vox2Vox: 3D-GAN for Brain Tumour Segmentation

26. Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

28. Feeding the zombies: Synthesizing brain volumes using a 3D progressive growing GAN

29. Improved functional MRI activation mapping in white matter through diffusion-adapted spatial filtering

30. Anatomically informed Bayesian spatial priors for fMRI analysis

31. Micromagnetic Modeling of Telegraphic Mode Jumping in Microwave Spin Torque Oscillators

32. Generating fMRI volumes from T1-weighted volumes using 3D CycleGAN

33. Spatial 3D Mat\'ern priors for fast whole-brain fMRI analysis

34. Graph Spectral Characterization of Brain Cortical Morphology

36. Characterization of Brain Cortical Morphology Using Localized Topology-Encoding Graphs

37. Refacing: reconstructing anonymized facial features using GANs

38. Reply to Chen et al.: Parametric methods for cluster inference perform worse for two-sided t-tests

39. Generating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks

40. Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT

41. Cluster Failure Revisited: Impact of First Level Design and Data Quality on Cluster False Positive Rates

44. Bayesian uncertainty quantification in linear models for diffusion MRI

45. Physiological Gaussian Process Priors for the Hemodynamics in fMRI Analysis

46. Reply to Cox et al. and Kessler et al.: Data and code sharing is the way forward for fMRI

47. A defense of using resting state fMRI as null data for estimating false positive rates

48. Cerebral Blood Flow Patterns in Patients With Low‐Flow Carotid Artery Stenosis, a 4D‐PCMRI Assessment.

49. Vox2Vox: 3D-GAN for Brain Tumour Segmentation