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bnn
bnn
 
 
configs
configs
 
 
data_dir
data_dir
 
 
dataset
dataset
 
 
externel
externel
 
 
log_dir
log_dir
 
 
mae
mae
 
 
model
model
 
 
project_dir
project_dir
 
 
rq_transformer
rq_transformer
 
 
utils
utils
 
 
2nd_seg_uncertainty_map.py
2nd_seg_uncertainty_map.py
 
 
2nd_syn_uncertainty_map.py
2nd_syn_uncertainty_map.py
 
 
BTCV_v1_test.py
BTCV_v1_test.py
 
 
BTCV_v1_unet.py
BTCV_v1_unet.py
 
 
BTCV_v1_unet_unetr.py
BTCV_v1_unet_unetr.py
 
 
BTCV_v2_unetr_load.py
BTCV_v2_unetr_load.py
 
 
CS_VQ_v1.py
CS_VQ_v1.py
 
 
CS_VQ_v1_test.py
CS_VQ_v1_test.py
 
 
CS_VQ_v2.py
CS_VQ_v2.py
 
 
CS_VQ_v3.py
CS_VQ_v3.py
 
 
DictLearning.py
DictLearning.py
 
 
GCN_v1.py
GCN_v1.py
 
 
GCN_v10_residuals.py
GCN_v10_residuals.py
 
 
GCN_v10_residuals_test.py
GCN_v10_residuals_test.py
 
 
GCN_v11_classification3.py
GCN_v11_classification3.py
 
 
GCN_v11_classification3_test.py
GCN_v11_classification3_test.py
 
 
GCN_v1_test.py
GCN_v1_test.py
 
 
GCN_v2.py
GCN_v2.py
 
 
GCN_v3.py
GCN_v3.py
 
 
GCN_v3_test.py
GCN_v3_test.py
 
 
GCN_v6_alpha_noise.py
GCN_v6_alpha_noise.py
 
 
GCN_v7_pixelGAN.py
GCN_v7_pixelGAN.py
 
 
GCN_v7_pixelGAN_test.py
GCN_v7_pixelGAN_test.py
 
 
GCN_v8_pixelGAN_wdist.py
GCN_v8_pixelGAN_wdist.py
 
 
GCN_v8_pixelGAN_wdist_test.py
GCN_v8_pixelGAN_wdist_test.py
 
 
GCN_v9_pixelGAN_epsilon.py
GCN_v9_pixelGAN_epsilon.py
 
 
GCN_v9_pixelGAN_epsilon_test.py
GCN_v9_pixelGAN_epsilon_test.py
 
 
Grad_align.ipynb
Grad_align.ipynb
 
 
Iman_MRCT.py
Iman_MRCT.py
 
 
Iman_PETCT.py
Iman_PETCT.py
 
 
Iman_PETCT_test.py
Iman_PETCT_test.py
 
 
JN_532_UnetR_simple.py
JN_532_UnetR_simple.py
 
 
JN_532_baseline_test.py
JN_532_baseline_test.py
 
 
JN_532_mc_channel.py
JN_532_mc_channel.py
 
 
JN_532_mc_dim3_test.py
JN_532_mc_dim3_test.py
 
 
JN_532_mc_test.py
JN_532_mc_test.py
 
 
JN_Unet.py
JN_Unet.py
 
 
JN_UnetR.py
JN_UnetR.py
 
 
JN_UnetR_bdo.py
JN_UnetR_bdo.py
 
 
JN_UnetR_bdo_test_zoom.py
JN_UnetR_bdo_test_zoom.py
 
 
JN_UnetR_dim3_dropout.py
JN_UnetR_dim3_dropout.py
 
 
JN_UnetR_mT.py
JN_UnetR_mT.py
 
 
JN_UnetR_mc_dropout.py
JN_UnetR_mc_dropout.py
 
 
JN_UnetR_test.py
JN_UnetR_test.py
 
 
JN_UnetR_test_zoom.py
JN_UnetR_test_zoom.py
 
 
JN_Unet_MC.py
JN_Unet_MC.py
 
 
JN_Unet_basic_ensemble.py
JN_Unet_basic_ensemble.py
 
 
JN_Unet_bdo.py
JN_Unet_bdo.py
 
 
JN_Unet_bdo_distillation.py
JN_Unet_bdo_distillation.py
 
 
JN_Unet_bdo_test_zoom.py
JN_Unet_bdo_test_zoom.py
 
 
JN_Unet_channel_dropout.py
JN_Unet_channel_dropout.py
 
 
JN_Unet_channel_dropout_continue.py
JN_Unet_channel_dropout_continue.py
 
 
JN_Unet_mc_dim3.py
JN_Unet_mc_dim3.py
 
 
JN_Unet_mc_dropout.py
JN_Unet_mc_dropout.py
 
 
JN_Unet_test.py
JN_Unet_test.py
 
 
JN_Unet_test_zoom.py
JN_Unet_test_zoom.py
 
 
JN_dice_coef.py
JN_dice_coef.py
 
 
JN_ensemble_ensemble.py
JN_ensemble_ensemble.py
 
 
JN_mc_channel.py
JN_mc_channel.py
 
 
JN_mc_dim3_test.py
JN_mc_dim3_test.py
 
 
JN_mc_test.py
JN_mc_test.py
 
 
JN_plot.py
JN_plot.py
 
 
JN_test.py
JN_test.py
 
 
JN_test_532.py
JN_test_532.py
 
 
JN_test_Unet_UnetR.py
JN_test_Unet_UnetR.py
 
 
LICENSE
LICENSE
 
 
MacroDropout_v1.py
MacroDropout_v1.py
 
 
MacroDropout_v1_test.py
MacroDropout_v1_test.py
 
 
MacroDropout_v2_RD.py
MacroDropout_v2_RD.py
 
 
MacroDropout_v3_RDdim3.py
MacroDropout_v3_RDdim3.py
 
 
Probability_align.ipynb
Probability_align.ipynb
 
 
Probability_align_z80.ipynb
Probability_align_z80.ipynb
 
 
README.md
README.md
 
 
RadAdv_Theseus_v7_distillation_test.py
RadAdv_Theseus_v7_distillation_test.py
 
 
RadAdv_plot_stad_err.py
RadAdv_plot_stad_err.py
 
 
RadAdv_syn_AUC.py
RadAdv_syn_AUC.py
 
 
Theseus_v10_lrn4.py
Theseus_v10_lrn4.py
 
 
Theseus_v2.py
Theseus_v2.py
 
 
Theseus_v2_blockwise_test.py
Theseus_v2_blockwise_test.py
 
 
Theseus_v2_quan.py
Theseus_v2_quan.py
 
 
Theseus_v2_test.py
Theseus_v2_test.py
 
 
Theseus_v2_test_noise.py
Theseus_v2_test_noise.py
 
 
Theseus_v2_unetv3.py
Theseus_v2_unetv3.py
 
 
Theseus_v3_channel.py
Theseus_v3_channel.py
 
 
Theseus_v3_test.py
Theseus_v3_test.py
 
 
Theseus_v4_shuffle.py
Theseus_v4_shuffle.py
 
 
Theseus_v5_bdo.py
Theseus_v5_bdo.py
 
 
Theseus_v5_bdo_sym_padding.py
Theseus_v5_bdo_sym_padding.py
 
 
Theseus_v6_outlier_test.py
Theseus_v6_outlier_test.py
 
 

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SUREMI

Segmentations as Unified Representations for Medical Images

This project intends to preform the pipeline that image to segmentation to image in the field of medical images. By going through this cycle, we can do

  • Image translation
  • Image denoising
  • Data-driven diagnoisi
  • Image editing with human in the loop

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Segmentations as Unified Representations for Medical Images

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