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BaSiC
A BaSiC Tool for Background and Shading Correction of Optical Microscopy ImagesDomainLab
modular domain generalization: https://pypi.org/project/domainlab/InstantDL
InstantDL: An easy and convenient deep learning pipeline for image segmentation and classificationSHAPR_torch
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"DISPR
A Diffusion Model Predicts 3D Shapes from 2D Microscopy ImagesDinoBloom
Blood Cell Foundation Model based on DINOv2HistoGPT
A vision language model for gigapixel whole slide images in histopathologyHematoFatePrediction
Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4182SHAPR
SHAPR - An AI approach to predict 3D cell shapes from 2D microscopic imagesCAR_T_TargetIdentification
Computational identification of targets for CAR-T cell therapy in AMLscifAI
scifAI: An explainable AI python framework for the analysis of multi-channel imaging dataAnomaly-aware-MIL
A simple pooling method for multiple instance learning based on attention and anomaly scores of instances.ClassificationALL
Accurate classification of blood cells in a small acute lymphoblastic leukemia dataset using convolutional neural networksSCEMILA
Single cell based explainable multiple instance learning algorithm (SCEMILA) for genetic acute myeloid leukemia subtype classification.causalspyne
Python data generation tool with unobserved confounding as testbed for causal discovery and causal abstractionAE-CFE
attMIL
Attention Based Multiple Instance Learning (attMIL)RedTell
BatchDetect
BatchDetect: a python package for detect systematic batch effects in datasetsWBC-NCA
percollFFT
Gal1repression
Modeling Gal1 repression kinetics in single budding yeast cellsHematopoiesisModelComparison
comparison of different lineage hierarchy models describing hematopoiesisBright2Nuc
Preprint: https://www.biorxiv.org/content/10.1101/2022.08.30.505835v1.full.pdfNeurogenesisAnalysis
Pre-anaylsis, neurogenesis model implementation, parameter inference procedure, model averaging, model evaluation and predictionLove Open Source and this site? Check out how you can help us