André Pedersen's Projects
DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras
TF2-compatible Accumulated Gradients for Adam
Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.
IEEE BIBM 2021: Bayesian optimization-guided topic modeling for automatic detection of sepsis-related events from free text
🫁 AeroPath: An airway segmentation benchmark dataset with challenging pathology
Includes labs for AI Fundamentals.
Automatic classification of tertiary bronchi based on bronchus masks using a rule-based approach.
My personal repository
Personal website
A web-based annnotation system for easy annotation of image sequences such as ultrasound and camera recordings
Delete the label from a whole-slide image
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Advanced Normalization Tools (ANTs)
Medical image analysis framework merging ANTsPy and deep learning
Code relevant for training and evaluating multi-task NLPs from free text using TensorFlow
[MICCAI, 2022, Challenge]: Airway Tree Modeling (ATM'22) Related Work Collections, also includes the state-of-the-art works on pulmonary airway segmentation and related works.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Adaptive pooling operators for multiple instance learning
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
Curated list of awesome open source healthcare software, libraries, tools and resources.
👩💻👨💻 Improve your README.md profile with these amazing badges.
CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083
Brainchop: In-browser 3D MRI rendering and segmentation
:cherry_blossom: Tutorials for making publish-worthy visualizations using WHO breast cancer data