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Thank you for sharing the open source code! I have a few questions regarding the code:
1. In the train.py file,
`"img_label": tf.placeholder(tf.float32, shape=(640, 640, 3)), # target deformation ma…
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I am looking your paper in MICCAI, Your model appeals to me a lot. There are complete code and readme? Thanks
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Hello, I am a master's student in medical image analysis, I am very interested in your work, can you post this article? Thank you
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The tables are available at: /pghbio/dbmi/batmanlab/Data/COPDGene/ClinicalData
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hi,yongpei,i wondering when you can release the code for swin-voxelmorph? The code corresponding to the paper published in miccai?I would love to follow your work
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Hi!
I was trying to use the ASOCA dataset. I started with the first code lines in the GetStarted notebook:
```
!pip install MedShapeNet
from MedShapeNet import MedShapeNet as msn
msn_instan…
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Dear professor, from last year's MIA and MICCAI to this year's TMI, I have the honor to read your research on 3D motion of abdominal organs. Could you provide an example of training data and train_lis…
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When I run "brats2018.py", I do not know what should be in this file
self.save_name = self.root + '/MICCAI_BraTS_2018_Data_Training/brats2018-list-' + mode + '-samples-' + str(
…
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Dear Jianwei,
Thank you for your contribution to medical image segmentation research with this paper. I am trying to reproduce your model and I have a question regarding the train, validation, and t…
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i have a question about new_train.csv,miccai dataset include 9 organs,in csv file you set the number of weight is 10 that i think it inculde background. but i can not understand is why the weight of …