• Stars
    star
    14
  • Rank 1,438,076 (Top 29 %)
  • Language
    Python
  • License
    BSD 3-Clause "New...
  • Created about 3 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

SHAPR - An AI approach to predict 3D cell shapes from 2D microscopic images

More Repositories

1

BaSiC

A BaSiC Tool for Background and Shading Correction of Optical Microscopy Images
MATLAB
53
star
2

DomainLab

modular domain generalization: https://pypi.org/project/domainlab/
Python
42
star
3

InstantDL

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
Python
41
star
4

SHAPR_torch

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"
Python
38
star
5

DISPR

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images
Python
33
star
6

DinoBloom

Blood Cell Foundation Model based on DINOv2
Python
26
star
7

HistoGPT

A vision language model for gigapixel whole slide images in histopathology
Jupyter Notebook
25
star
8

HematoFatePrediction

Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4182
MATLAB
20
star
9

Med-AL-SSL

Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets
Python
16
star
10

CAR_T_TargetIdentification

Computational identification of targets for CAR-T cell therapy in AML
Jupyter Notebook
14
star
11

scifAI

scifAI: An explainable AI python framework for the analysis of multi-channel imaging data
Python
6
star
12

Anomaly-aware-MIL

A simple pooling method for multiple instance learning based on attention and anomaly scores of instances.
Python
6
star
13

ClassificationALL

Accurate classification of blood cells in a small acute lymphoblastic leukemia dataset using convolutional neural networks
Python
5
star
14

SCEMILA

Single cell based explainable multiple instance learning algorithm (SCEMILA) for genetic acute myeloid leukemia subtype classification.
Python
5
star
15

causalspyne

Python data generation tool with unobserved confounding as testbed for causal discovery and causal abstraction
Python
3
star
16

AE-CFE

Python
3
star
17

attMIL

Attention Based Multiple Instance Learning (attMIL)
Python
3
star
18

RedTell

Python
3
star
19

BatchDetect

BatchDetect: a python package for detect systematic batch effects in datasets
Python
2
star
20

WBC-NCA

Jupyter Notebook
2
star
21

percollFFT

Python
1
star
22

Gal1repression

Modeling Gal1 repression kinetics in single budding yeast cells
MATLAB
1
star
23

HematopoiesisModelComparison

comparison of different lineage hierarchy models describing hematopoiesis
Jupyter Notebook
1
star
24

Bright2Nuc

Preprint: https://www.biorxiv.org/content/10.1101/2022.08.30.505835v1.full.pdf
Python
1
star
25

NeurogenesisAnalysis

Pre-anaylsis, neurogenesis model implementation, parameter inference procedure, model averaging, model evaluation and prediction
C
1
star