pykao/QuantumMolGAN-PyTorch

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pykao/QuantumMolGAN-PyTorch

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This repository contains the source code of Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry

Modified-3D-UNet-Pytorch

This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017

BraTS2018-tumor-segmentation

We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

BraTS2018-survival-prediction

We provide a method to extract the tractographic features from structural MR images for patients with brain tumor

CT2MNI152

This repository applies the affine and deformation transformation on the CT scan in the subject space, and register it to the MNI 1mm space

mTOP2016

This repository implement the work of Kao, Po-Yu, et al. "Unsupervised 3-D feature learning for mild traumatic brain injury." International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. Springer, Cham, 2016

pytorch-v0.4.0

This is the source codes of pytorch verison 0.4.0

ISLES2017-mRS-prediction

This repository extracts the tractograpic feature, other first-order features and the state-of-the-art feature from the stroke lesion. A random forest regressor is used with one type of feature to predict the modified Rankin Scale of stroke patients.

ABCD-MICCAI2019

This repository contains the source code of UCSBVRL who participating in the ABCD MICCAI 2019 Challenge.