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Working in R&D focusing on deep learning, computer vision, large language models, software development, and statistical analysis.

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Selected open-source projects within medicine and other applications

Languages and Tools

keras

tensorflow

torch

python

R

Cpp

latex

pycharm

clion

Visual Studio Code

nsis

docker

Git

Actions

GitHub

André Pedersen's Projects

lungtumormask icon lungtumormask

Automatic end-to-end lung tumor segmentation from CT images.

mib2 icon mib2

Microscopy Image Browser version 2 is a package for image processing, segmentation and visualization of multi-dimensional (2D-4D) microscopy datasets

minit icon minit

This repository houses the official implementation of Multiple Instance NeuroImage Transformer (MINiT) paper, accepted at PRedictive Intelligence in MEdicine (PRIME 2022) in Singapore to be held on September 24, 2022.

misvm icon misvm

Multiple-Instance Support Vector Machines

monai icon monai

AI Toolkit for Healthcare Imaging

monai-deploy icon monai-deploy

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

monailabel icon monailabel

MONAI Label is an intelligent open source image labeling and learning tool.

my-emotion icon my-emotion

A flutter app face detection and emotion, can detect if you're smiling, big smiley, sad or if there is not face on the screen.

nlp-mtl icon nlp-mtl

Training neural networks to solve multiple tasks simultaneously from free text through multi-task learning

nndetection icon nndetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

nocodeseg icon nocodeseg

🔬 Code-free deep segmentation for computational pathology

nuclei icon nuclei

Development of networks for multi-tissue nuclei segmentation and classification

onnx2keras icon onnx2keras

Convert ONNX model graph to Keras model format.

pathology-streaming-pipeline icon pathology-streaming-pipeline

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

pathology-whole-slide-data icon pathology-whole-slide-data

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

pls-net icon pls-net

Reimplementation of the PLS-Net architecture used for lung lobe segmentation in CT

presimal2022 icon presimal2022

Material from a workshop in the PRESIMAL Autumn Research School 2022

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