Original paper "Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classiciation)
Soumick Chatterjee
soumickmj
AI & ML interests
Representation learning, computer vision, image reconstruction, LLM
Organizations
The trained model weights from the paper "Unsupervised cardiac MRI phenotyping with 3D diffusion autoencoders reveals novel genetic insights"
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GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1701
Image Feature Extraction • 45M • Updated • 5 -
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1993
Image Feature Extraction • 45M • Updated • 4 -
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1994
Image Feature Extraction • 45M • Updated • 1 -
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S42
Image Feature Extraction • 45M • Updated • 3
Original paper "Weakly-supervised segmentation using inherently-explainable classification models and their application to brain tumour classiciation)
The trained model weights from the paper "Unsupervised cardiac MRI phenotyping with 3D diffusion autoencoders reveals novel genetic insights"
-
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1701
Image Feature Extraction • 45M • Updated • 5 -
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1993
Image Feature Extraction • 45M • Updated • 4 -
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S1994
Image Feature Extraction • 45M • Updated • 1 -
GlastonburyGroup/UKBBLatent_Cardiac_20208_DiffAE3D_L128_S42
Image Feature Extraction • 45M • Updated • 3
models
69
soumickmj/DILITHIUM_WeaklySup_WNetMSS3D_mMIP
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soumickmj/DILITHIUM_WeaklySup_WNetMSS3D_MIP
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soumickmj/DILITHIUM_UnSup_WNetMSS3D
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soumickmj/DILITHIUM_WeaklySup_AttWNet3D_mMIP
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soumickmj/DILITHIUM_WeaklySup_AttWNet3D_MIP
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soumickmj/DILITHIUM_UnSup_AttWNet3D
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soumickmj/SMILEUHURA_SPOCKMIP_UNet3D_mMIP
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soumickmj/SMILEUHURA_SPOCKMIP_UNet3D_MIP
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soumickmj/SMILEUHURA_DS6_UNet3D_woDeform
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soumickmj/SMILEUHURA_DS6_CamSVD_UNetMSS3D_wDeform
Image Segmentation
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12
datasets
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None public yet