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Type: Organization
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
Using DCGAN for segmenting brain tumors from brain image scans
Brain tumor segmentation for MICCAI 2017 BraTS challenge
Cascaded Anisotropic CNN for Automatic Brain Tumor Segmentation
Multimodal Brain Tumor Segmentation Challenge 2018
Brain tumor segmentation challenge code
U-Net Brain Tumor Segmentation for BraTS 2018
A 3D U-Net Based Solution to BraTS 2019 in Keras
CP-GAN: Class-Distinct and Class-Mutual Image Generation with GANs
Deformable Convolution in TensorFlow / Keras
PyTorch implementation of Deformable Convolution
Deformable ConvNets V2 (DCNv2) in PyTorch
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
A Pytorch implementation for the paper Local Relational Networks for Image Recognition (https://arxiv.org/pdf/1904.11491.pdf)
PyTorch implementation of Deformable Convolution
PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)
A Deep Learning method to segment punctate white matter lesions (PWMLs); Brain tumor segmentation;
Pytorch Implemenation of a SRGAN with regularization loss to stabilize GAN training. Work presented at the Japanese conference MIRU.
Deformable convolution net on Tensorflow
winning method for WMH segmentation challenge in MICCAI 2017
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