Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

A biologically interpretable graph neural network for multistain computational pathology - CVPR 2025

🌸 Breast epithelium segmentation through IHC-guided supervision

An application for exporting and analysing tissue array whole slide image files

A benchmark of histopathology Foundation Models on multi-stain Immunohistochemistry immune datasets AIM-FM workshop @ NeurIPS 24

IHC image real time analyzer

Automated segmentation of H&E and Immunohistochemistry stained synovial tissue in histopathology Whole Slide Images - MIUA 2023

Cell segmentation of multi-channel images

The source code & experiments for the paper: Assessment of Ki-67 proliferation index with deep learning in DCIS (ductal carcinoma in situ)

ImaGene: A multi-omic ML/AI software with guided operational reports and supporting files

IHC scoring of multi-channel images

AMMIT is an R package designed to streamline the processing of immunofluorescence data.

Proteomics and IHC data analysis for LGSC and SBT tumour microenvironment study.

Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.

Image processing desktop GUI tool to automate colocalization analysis across multiple channels on a fluorescence image

Cyclic multiplex fluorescent immunohistochemistry and machine learning reveal distinct states of astrocytes and microglia in normal aging and Alzheimer’s disease.

Workflow to study the distribution of tertiary lymphatic structures in the meninges of rodents