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Hello
thank you for your implementation sharing
Its interesting
Can I use your code in my dataset which is brain MRI images (T1, T2 and flair) images with .dicom format?
if yes, how?
appreci…
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In ```image_sample_complex_duo.py```, the amplitude of the frequency is saved as a picture. Could you tell me how to get the reconstructed MRI image? Is it the inverse Fourier transform of ```sample2`…
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currently the model is trained only on CT images, but now the need of mri models are growing, how the model can be trained to do universal segmentation on any modalities ?
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Dear Authors,
Excellent works!
In your paper, you mentioned using 2656 brain MRI images from four public datasets (ADNI, ABIDE, ADHD, IXI). However, those data sources have many more images than wha…
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Reviewed Medical Image Datasets:
1. NIH Clinical Center:
Chest X-Ray Dataset (ChestX-ray8): Contains over 100,000 frontal-view X-ray images of 30,805 unique patients with 14
disease labels…
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Hi,
I tried to open an DICOM Disk captured 2018 with Miele-lxiv 9.39.140 and first time ever, I can't open the images.
It's able to read all metadata but the images itself are completely white. …
XRJPK updated
3 months ago
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Fantastic work!
I was wondering if you could share some insights or code regarding the Grad-CAM visualization part.
I'm working on a multimodal project and the results from visualizing the MRI ima…
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Hi, Congratulations to your great work, and thanks for making open-source!
I used the "DiffMa-B/2" and the "DiffMa/1000000.pt", I used some samples from the dataset you provided. However, the resul…
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Hello, when I trained the model with my own dataset(MRI slices) about 1000 npy files, I encountered the problem above. According to your updated code, I transformed my npy files to PIL images , the …
fxsly updated
1 month ago
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Hi @josedolz, you mentioned in your paper that for pre-processing you applied volume-wise intensity normalization, bias-field correction and skull striping. From my understanding, this is not included…