Projects

Hi! I am Elias Baumann, a data and validation machine learning engineer at Kaiko.ai, building data pipelines for frontier LLM training.

Check out my GitHub or Google scholar to see my most recent work.

A systematic review of AI tools for pathology report elements in colorectal cancer

MSAI-Path: Predicting microsatellite instability from routine histology slides without re-inventing the wheel

Deep learning-based quantification of eosinophils and lymphocytes shows complementary prognostic effects in colorectal cancer patients

HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology

Härting|FM Podcast episode on patient data

CoNiC: Colon Nuclei Identification and Counting Challenge 2022

Long term forecasting of earths cryosphere with machine learning

Landmark Localization NTM: Neural Turing Machine for data efficient landmark localization