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Project-MONAI
MONAI Tutorials
I’m training a pre-trained **maisi-rflow** model to generate new images conditioned on segmentation masks generated with vista3D. In [MAISI-data](https://github.com/Project-MONAI/tutorials/tree/main/generation/maisi/data) is written that the pseudo-labels can be produced using [VISTA3D](https://github.com/Project-MONAI/VISTA/tree/main/vista3d). I’m...
Hi MAISI team, Thanks for open-sourcing this framework. I am trying to use it for generating images with tumors, and it’s been super helpful. I’m reading the maisi-v2 paper and...
I propose creating a comprehensive tutorial that integrates MONAI with ComfyUI's node-based visual workflow system, specifically targeting surgical, radiological, and other consultants seeking to perform AI-assisted lesion detection and segmentation...
**Describe the bug** Unconditional generation did not produce MR volumes, despite setting `modality=9` (which refers to MR T1w) **To Reproduce** Steps to reproduce the behavior: 1. Select `maisi3d-ddpm` or `maisi3d-rflow`...
Hi, I'm working on a new registration method, and decided to use learn2reg_nlst_paired_lung_ct.ipynb as a base. However, the conversion from keypoints from voxel coordinates to warping coordinates in the range...
When manually assigning all training data to fold 0 in the datalist JSON file, MONAI Auto3DSeg training fails with ValueError: num_samples should be a positive integer value, but got num_samples=0....
**Is your feature request related to a problem? Please describe.** This is a twin issue of: https://github.com/Project-MONAI/MONAI/issues/8556. **Describe the solution you'd like** Diffusion model inferers class will move away from...
Hallo, I tried longer to make the diffusion unet (rectified flow version) work but without success. the VAE performes correct and encoding and reconstruction look fine. I take all the...
https://github.com/Project-MONAI/tutorials/blob/8b90a16d82a463551d81dd4da200f3d406c6843e/generation/maisi/scripts/diff_model_create_training_data.py#L199 In the data preparation, the plain_transforms uses `monai.transforms.Orientationd(keys="image", axcodes="RAS")`, to reorient the image, but the new dimension is set using `plain_transforms({"image": os.path.join(args.data_base_dir, filepath)})["image"].meta["dim"][_i]` which has the original dimension, not...
Hi, I am trying to train the MAISI VAE from scratch using my dataset. I wonder how long it takes to train on such a large dataset? When I use...
