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**Short Description**
Single-Image Super-Resolution describes the domain of enhancing image resolution for single images (as opposed to groups of images of a scene, for example). Solutions in this do…
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Hello，from the overall framework picture, I found the count of randomly crop is one.
I want to know the method processes the random crops in a data picture in your model？
How to get more randomly c…
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Hello thanks for publishing your fantastic work - I was wondering if can I use your encoding as a positional encoding step in the Vision transformer - the task is segmentation of 3D medical image , or…
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Hello.
I find the implementation of TransformerEncoderBlock in unetr_pytorch/utils/transformer.py is different from the code in the Paper "UNETR: Transformers for 3D Medical Image Segmentation".
Spe…
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**Motivation:** We usually have datasets with several contrasts but typically only the ground-truth for a single contrast. To get around this, we usually co-register the contrasts, copy the same label…
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What is the relationship between Train A and Train B in the dataset?
Why do you think it's an unsupervised medical image segmentation method?
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Originally posted by **gofmans** April 29, 2022
Hi,
I recently encountered an interesting data augmentation technique that could be relevant for segmentation tasks, it's called "copy-paste…
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Dear @vpchung, @rachitsaluja,
First of all, thank you for sharing lesion-wise e…
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Hello author, thank you for your outstanding work! Can you please publish the source code for your Extended Article "Self-Supervised Learning for Few-Shot Medical Image Segmentation,"(doi: 10.1109/TMI…
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## Software Engineer, Medical Imaging
- Applied once
Neuralink is seeking a creative and motivated engineer to develop novel multi-modal medical imaging software suite for planning and control of …