chinmay5

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When I do that, I get an error in conversion ![image](https://user-images.githubusercontent.com/16525717/40587356-67595c5a-61ce-11e8-9ad3-0b03766376e2.png)

Figured this one out but still ran into the first issue where it expects 3 params but gets only 1. I am not sure what is going wrong

I am not very familiar with the Keras model but it seems strange if the batch-normalizatioon can change the shape because usually we would not expect any change in the...

Aha so @Ma-Dan according to you, this failure is because of version mismatch?

@inosms @Ma-Dan I have no idea how to have this working. Any sort of help shall be highly appreciated

I was able to handle the conversion part by using the code:- `coreml_model = coremltools.converters.keras.convert('./model_data/yolo.h5', input_names='input_1', image_input_names='image', output_names = ['output','output2'],image_scale=1/255.) ` However, when I try running the converted coreml model,...

We performed skull-stripping and alignment to the MNI space. Finally, we take a crop of 96 x 96 x 96 as the input. Perhaps, @hongweilibran can shed some light. We...

Sorry for the late response. We will try to upload the script for processing the BraTS dataset asap. Yes, we only used the training split. We preprocess the individual scans...

Hi, @joangog, Sorry for the late response. The code was uploaded after some ablations. So, the experiments are not only for the Flair channel. Please feel free to update the...