ajinkya-kulkarni
Image data scientist | High performance computing | Machine learning | Computer vision | Spatial Biology
Max Planck Institute for Multidisciplinary SciencesGöttingen, Germany
Pinned Repositories
ABA-Project-Overview
CrowdDynamics
MPINAT-LSM-Application
Streamlit app for scientific data management at the Max Planck Institute for Multidisciplinary Sciences.
PyBlendPatches
Efficiently handles large images by segmenting them into patches, performing instance/semantic segmentation, and then reconstructing the patches into a complete, segmented mask.
PyElispotAnalysis
Detecting spots (IFN-Gamma positive cells) from an Elispot assay image using Deep learning
PyFlocking
Simulations of flocking behaviour in active agents, using a simple Viscek model
PyHistology
Python package that uses colorspace-based segmentation to analyze histopathology images.
PyOrganoIDNet
This repository provides StarDist and CellPose models, meticulously trained on a large dataset of Pancreatic Ductal Adenocarcinoma organoids co-cultured with immune cells. Pre-print available at https://www.biorxiv.org/content/10.1101/2024.02.12.580032v1. Demo application available at https://segmentorganoids.streamlit.app/
PySpatialHistologyAnalysis
Package using StarDist and Python that performs object detection and spatial analysis on H&E images
PyTextureAnalysis
PyTextureAnalysis is a Python package for analyzing the texture of images. It includes functions for calculating local orientation, degree of coherence, and structure tensor of an image. This package is built using NumPy, SciPy and OpenCV.
ajinkya-kulkarni's Repositories
ajinkya-kulkarni/PyTextureAnalysis
PyTextureAnalysis is a Python package for analyzing the texture of images. It includes functions for calculating local orientation, degree of coherence, and structure tensor of an image. This package is built using NumPy, SciPy and OpenCV.
ajinkya-kulkarni/PyHistology
Python package that uses colorspace-based segmentation to analyze histopathology images.
ajinkya-kulkarni/MPINAT-LSM-Application
Streamlit app for scientific data management at the Max Planck Institute for Multidisciplinary Sciences.
ajinkya-kulkarni/PyFlocking
Simulations of flocking behaviour in active agents, using a simple Viscek model
ajinkya-kulkarni/PyBlendPatches
Efficiently handles large images by segmenting them into patches, performing instance/semantic segmentation, and then reconstructing the patches into a complete, segmented mask.
ajinkya-kulkarni/PyOrganoIDNet
This repository provides StarDist and CellPose models, meticulously trained on a large dataset of Pancreatic Ductal Adenocarcinoma organoids co-cultured with immune cells. Pre-print available at https://www.biorxiv.org/content/10.1101/2024.02.12.580032v1. Demo application available at https://segmentorganoids.streamlit.app/
ajinkya-kulkarni/PySpatialHistologyAnalysis
Package using StarDist and Python that performs object detection and spatial analysis on H&E images
ajinkya-kulkarni/PyElispotAnalysis
Detecting spots (IFN-Gamma positive cells) from an Elispot assay image using Deep learning
ajinkya-kulkarni/ABA-Project-Overview
ajinkya-kulkarni/ajinkya-kulkarni
Config files for my GitHub profile.
ajinkya-kulkarni/CondaEnvManagement
ajinkya-kulkarni/cellpose
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
ajinkya-kulkarni/cerberus
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
ajinkya-kulkarni/cleanvision
Automatically find issues in image datasets and practice data-centric computer vision.
ajinkya-kulkarni/ElispotStreamlitApp
ajinkya-kulkarni/EmbedSeg
Code Implementation for EmbedSeg, an Instance Segmentation Method for Microscopy Images
ajinkya-kulkarni/iguana
Interpretable Gland-Graph Networks
ajinkya-kulkarni/ImageSegmentor
ajinkya-kulkarni/LIVECell
ajinkya-kulkarni/MEDIAR
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
ajinkya-kulkarni/micro-sam
Segment Anything for Microscopy
ajinkya-kulkarni/neurips22-cellseg_saltfish
ajinkya-kulkarni/PyComplexHeatmap
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
ajinkya-kulkarni/PyDetectOrganoids
ajinkya-kulkarni/quantixed
My GitHub profile
ajinkya-kulkarni/segmentation_metrics
A package to compute medical segmentation metrics.
ajinkya-kulkarni/spotiflow
Accurate and efficient spot detection for microscopy data
ajinkya-kulkarni/stardist
StarDist - Object Detection with Star-convex Shapes
ajinkya-kulkarni/Temp
ajinkya-kulkarni/visa_rescheduler
US VISA (ais.usvisa-info.com) appointment re-scheduler - Colombian adaptation