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Marr Lab's Projects

anomaly-aware-mil icon anomaly-aware-mil

A simple pooling method for multiple instance learning based on attention and anomaly scores of instances.

attmil icon attmil

Attention Based Multiple Instance Learning (attMIL)

basic icon basic

A BaSiC Tool for Background and Shading Correction of Optical Microscopy Images

batchdetect icon batchdetect

BatchDetect: a python package for detect systematic batch effects in datasets

bright2nuc icon bright2nuc

Preprint: https://www.biorxiv.org/content/10.1101/2022.08.30.505835v1.full.pdf

classificationall icon classificationall

Accurate classification of blood cells in a small acute lymphoblastic leukemia dataset using convolutional neural networks

dermai_code icon dermai_code

Code needed to preprocess and analyse data for the dermAI project

dispr icon dispr

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

domainlab icon domainlab

modular domain generalization: https://pypi.org/project/domainlab/

gal1repression icon gal1repression

Modeling Gal1 repression kinetics in single budding yeast cells

hematofateprediction icon hematofateprediction

Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4182

instantdl icon instantdl

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

med-al-ssl icon med-al-ssl

Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets

neurogenesisanalysis icon neurogenesisanalysis

Pre-anaylsis, neurogenesis model implementation, parameter inference procedure, model averaging, model evaluation and prediction

recap-friday icon recap-friday

In this repository we maintain the material for recap fridays at marr lab

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