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advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

ants

Advanced Normalization Tools (ANTs)

bmen4460

bmsg-gan

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning.

ct_lung_segmentation

Robust segmentation of lung and airway in CT scans

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

dpln-emseg

The final project of ECBM-4040-Neural Networks and Deep Learning in Columbia University. Learning-based EM image segmentation (based on PyraMid-LSTM)

hrda

[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

jermanenhancementfilter

Jerman's tubular (vessel) and spherical (blob) enhancement filters

mapseg

[CVPR2024] MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling

mic

[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

multi-materials-decomposition

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

progressive_growing_of_gans-pytorch

A PyTorch 0.4 implementation of Progressive Growing of GANs for Improved Quality, Stability and Variability (https://arxiv.org/abs/1710.10196)

ptnet

Pyramid Transformer Net (PTNet) for high resolution infant MRI synthesis

ptnet3d

Public code for 3D version of Pyramid Transformer Network (PTNet). Our PTNet achieve consistently better performance in high-resolution and longitudinal infant brain MRI synthesis than previous SOTA methods.

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

vessel_filter

whole-foods-delivery-slot

Automated script for Whole Foods and Amazon Fresh delivery slot

xuzhez.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics