IOS-Landmarks
A model for fast intraoral-scan (IOS) segmentation and landmark prediction.
Building
A selection of things I've built, from segmentation models for intraoral scans to puzzle solutions and tiny educational engines.
Models and experiments, mostly on medical and remote-sensing imaging.
A model for fast intraoral-scan (IOS) segmentation and landmark prediction.
A small model for automatic IOS orientation.
Remote Sensing Semantic Segmentation Virtual Lab.
Classification of microscopy images using cross batch consistency learning.
Gradient descent implementation done from scratch with numpy.
Every December (and then some): coding puzzle events, solved end to end.
Small tools and implementations built to understand things deeply.
A Python framework to play with distributed algorithms.
A cool computational model for ant sorting written in NetLogo.
Z340 solution in C.
A mini 2D card engine to play MTG (WIP).
A small DCT (Discrete Cosine Transform) educational implementation in C with no dependencies.
A bash script that reminds you of the most important laws of software engineering.
Projects I help build.
A landmark-guided IOS-CBCT registration pipeline.
Contributing to the back-end algorithms for dental data analysis.
Visualizing embeddings and discussing.