https://tia-toolbox.readthedocs.io/en/latest/pretrained.html
Laureηt Fainsin
1aurent
AI & ML interests
Generative Models connoisseur, Pathology enthusiast, Reproducibility advocate
Recent Activity
liked
a model
1 day ago
black-forest-labs/FLUX.1-Kontext-dev
updated
a model
3 days ago
refiners/sd15.ic_light.fcon
updated
a model
3 days ago
refiners/sd15.ic_light.fc
Organizations
Towards Training Large-Scale Pathology Foundation Models: from TCGA to Hospital Scale, https://github.com/kaiko-ai/towards_large_pathology_fms
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Towards Large-Scale Training of Pathology Foundation Models
Paper • 2404.15217 • Published -
1aurent/vit_small_patch16_224.kaiko_ai_towards_large_pathology_fms
Feature Extraction • 0.0B • Updated • 632 -
1aurent/vit_small_patch8_224.kaiko_ai_towards_large_pathology_fms
Feature Extraction • 0.0B • Updated • 29 -
1aurent/vit_base_patch16_224.kaiko_ai_towards_large_pathology_fms
Feature Extraction • 0.1B • Updated • 1.11k • 1
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets, https://github.com/lunit-io/benchmark-ssl-patho
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Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Paper • 2212.04690 • Published -
1aurent/resnet50.lunit_bt
Image Classification • 0.0B • Updated • 20 -
1aurent/resnet50.lunit_swav
Image Classification • 0.0B • Updated • 17 -
1aurent/resnet50.lunit_mocov2
Image Classification • 0.0B • Updated • 21
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification, https://github.com/lambert-x/medical_mae
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Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Paper • 2210.12843 • Published -
timm/densenet121.tv_in1k
Image Classification • 0.0B • Updated • 11.2k -
1aurent/densenet121.medmae_in1k_ft_CXR
Image Classification • 0.0B • Updated • 2 -
1aurent/resnet50.medmae_in1k_mocov2
Image Classification • 0.0B • Updated • 4
Hibou: A Family of Foundational Vision Transformers for Pathology, https://github.com/HistAI/hibou
A whole-slide foundation model for digital pathology from real-world data, https://huggingface.co/prov-gigapath/prov-gigapath
A Foundation Model for Generalizable Cell Embeddings in Hematology, https://github.com/marrlab/DinoBloom
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DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
Paper • 2404.05022 • Published • 2 -
1aurent/vit_small_patch14_224.dinobloom
Feature Extraction • 0.0B • Updated • 518 • 1 -
1aurent/vit_base_patch14_224.dinobloom
Feature Extraction • 0.1B • Updated • 21 • 1 -
1aurent/vit_large_patch14_224.dinobloom
Feature Extraction • 0.3B • Updated • 17
Transformer-based Unsupervised Contrastive Learning for Histopathological Image Classification, https://github.com/Xiyue-Wang/TransPath
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology, https://github.com/Richarizardd/Self-Supervised-ViT-Path/
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Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Paper • 2203.00585 • Published • 2 -
timm/resnet50.a1_in1k
Image Classification • 0.0B • Updated • 18.9M • 39 -
1aurent/resnet50.tcga_brca_simclr
Feature Extraction • 0.0B • Updated • 18 • 1 -
1aurent/vit_small_patch16_256.tcga_brca_dino
Feature Extraction • 0.0B • Updated • 33
Deblurring Masked Image Modelling is Better Recipe for Ultrasound Image Analysis, https://github.com/MembrAI/DeblurringMIM
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Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition
Paper • 2306.08249 • Published -
1aurent/vit_base_patch16_224.deblurmim_us280k_vanilla_mae
Image Classification • 0.1B • Updated • 10 • 1 -
1aurent/vit_base_patch16_224.deblurmim_us280k_deblurring_mae
Image Classification • 0.1B • Updated • 4
WILDS is a benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications.
https://tia-toolbox.readthedocs.io/en/latest/pretrained.html
A Foundation Model for Generalizable Cell Embeddings in Hematology, https://github.com/marrlab/DinoBloom
-
DinoBloom: A Foundation Model for Generalizable Cell Embeddings in Hematology
Paper • 2404.05022 • Published • 2 -
1aurent/vit_small_patch14_224.dinobloom
Feature Extraction • 0.0B • Updated • 518 • 1 -
1aurent/vit_base_patch14_224.dinobloom
Feature Extraction • 0.1B • Updated • 21 • 1 -
1aurent/vit_large_patch14_224.dinobloom
Feature Extraction • 0.3B • Updated • 17
Towards Training Large-Scale Pathology Foundation Models: from TCGA to Hospital Scale, https://github.com/kaiko-ai/towards_large_pathology_fms
-
Towards Large-Scale Training of Pathology Foundation Models
Paper • 2404.15217 • Published -
1aurent/vit_small_patch16_224.kaiko_ai_towards_large_pathology_fms
Feature Extraction • 0.0B • Updated • 632 -
1aurent/vit_small_patch8_224.kaiko_ai_towards_large_pathology_fms
Feature Extraction • 0.0B • Updated • 29 -
1aurent/vit_base_patch16_224.kaiko_ai_towards_large_pathology_fms
Feature Extraction • 0.1B • Updated • 1.11k • 1
Transformer-based Unsupervised Contrastive Learning for Histopathological Image Classification, https://github.com/Xiyue-Wang/TransPath
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets, https://github.com/lunit-io/benchmark-ssl-patho
-
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Paper • 2212.04690 • Published -
1aurent/resnet50.lunit_bt
Image Classification • 0.0B • Updated • 20 -
1aurent/resnet50.lunit_swav
Image Classification • 0.0B • Updated • 17 -
1aurent/resnet50.lunit_mocov2
Image Classification • 0.0B • Updated • 21
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology, https://github.com/Richarizardd/Self-Supervised-ViT-Path/
-
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology
Paper • 2203.00585 • Published • 2 -
timm/resnet50.a1_in1k
Image Classification • 0.0B • Updated • 18.9M • 39 -
1aurent/resnet50.tcga_brca_simclr
Feature Extraction • 0.0B • Updated • 18 • 1 -
1aurent/vit_small_patch16_256.tcga_brca_dino
Feature Extraction • 0.0B • Updated • 33
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification, https://github.com/lambert-x/medical_mae
-
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification
Paper • 2210.12843 • Published -
timm/densenet121.tv_in1k
Image Classification • 0.0B • Updated • 11.2k -
1aurent/densenet121.medmae_in1k_ft_CXR
Image Classification • 0.0B • Updated • 2 -
1aurent/resnet50.medmae_in1k_mocov2
Image Classification • 0.0B • Updated • 4
Deblurring Masked Image Modelling is Better Recipe for Ultrasound Image Analysis, https://github.com/MembrAI/DeblurringMIM
-
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition
Paper • 2306.08249 • Published -
1aurent/vit_base_patch16_224.deblurmim_us280k_vanilla_mae
Image Classification • 0.1B • Updated • 10 • 1 -
1aurent/vit_base_patch16_224.deblurmim_us280k_deblurring_mae
Image Classification • 0.1B • Updated • 4
Hibou: A Family of Foundational Vision Transformers for Pathology, https://github.com/HistAI/hibou
A whole-slide foundation model for digital pathology from real-world data, https://huggingface.co/prov-gigapath/prov-gigapath
WILDS is a benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications.