Histocartography is a framework bringing together AI and Digital Pathology

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

A rehost of the python version of SPArse Modeling Software (SPAMS)

✨ A different take on designing a Lovelace UI (Dashboard)

evaluateCutpoints is a R package for multiple cutpoints determination in biomedical research.

Python 3 library for the augmentation & normalization of H&E images

Papers and code of Explainable AI esp. w.r.t. Image classificiation

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

My personal website powered by Jekyll and al-folio.

Classification of Lung cancer slide images using deep-learning

An implementation of Unet for pytorch designed for digital pathology segmentation

Introduction slides for Alvis

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

Code accompanying our manuscript "Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front"

Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Attention-based Deep MIL implementation and application

Deep Learning Examples