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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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BRAIN INJURY DETECTED ON MRI SCAN INDICATOR should have 2 National Codes and a Default Code, see V3 at:
https://v3.datadictionary.nhs.uk/data_dictionary/attributes/b/brain_injury_detected_on_mri_sc…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Glioma MRI Human Brain Tumor Detection
:red_circle: **Aim** : The aim is to identify the brain tumors f…
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Hi, great paper and thanks for providing the code and related dataset.
I'm having difficulty reproducing your test result. May I ask how to get ground truth brain MRI test image? I didn't see reconst…
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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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Can this model obtain a corresponding 3D model based on MRI or CT data, for example, if the input is human brain MRI, can a 3D brain model be obtained
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## Summary
When I preprocess longitudinal (2 sessions) dwi with anat data, my final preprocessed T1w image looks strange - it appears as if there are two superimposed T1w images. I ran the preprocess…
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Hello! I am very inspired by your work. Referring to your work, I have some doubts while pre-training MRI data.
I want to use brain tumor MRI containing four modalities for pre-training, what to do …
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This review is a great collection of MRI based atlases. I am going through it and will add the most significant ones here as issues. I am basing the information on resolution from this paper
https://…
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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…