Pinned Repositories
athena
Computational Framework to Analyse Spatial Heterogeneity in Visum, IMC or MIBI data sets
generative-appearance-replay
hact-net
interpretAI_DigiPath
Hands-on Sessions 1 and 2 at the Building Interpretable AI for Digital Pathology AMLD workshop 2021
multi-scale-feature-alignment
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
ninepins
patho-quant-explainer
Code for replicating results presented in the paper: "Quantifying Explainers of Graph Neural Networks in Computational Pathology"
seg-gini
SEGmentation using Graphs with Inexact aNd Incomplete labels
spatial-omics
A data container for spatial omics data
zoommil
ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) classification.
histocartography's Repositories
histocartography/hact-net
histocartography/zoommil
ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) classification.
histocartography/patho-quant-explainer
Code for replicating results presented in the paper: "Quantifying Explainers of Graph Neural Networks in Computational Pathology"
histocartography/seg-gini
SEGmentation using Graphs with Inexact aNd Incomplete labels
histocartography/athena
Computational Framework to Analyse Spatial Heterogeneity in Visum, IMC or MIBI data sets
histocartography/ninepins
histocartography/multi-scale-feature-alignment
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains
histocartography/generative-appearance-replay
histocartography/interpretAI_DigiPath
Hands-on Sessions 1 and 2 at the Building Interpretable AI for Digital Pathology AMLD workshop 2021
histocartography/spatial-omics
A data container for spatial omics data
histocartography/ELAINE2021