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Hi there 👋


  • 🔭 Master of Science Artificial Intelligence, Johannes Kepler University, (Contrastive Learning with MIMIC-III, see CNEP)
  • 💬 Ask me anything about application security, or machine learning/deep learning (I am a Pytorch guy)
  • 📫 How to reach me: Email: juergen(at)plasser.net,
  • 😄 Pronouns: he/him vi/vim

Jürgen R. Plasser / ThetaPhiPsi's Projects

bloatectomy icon bloatectomy

A python package for removing duplicate text in clinical notes or other documents

clip icon clip

Contrastive Language-Image Pretraining

cnep icon cnep

CNEP (Contrastive Notes Events Pre-training), Contrastive Learning with Clinical Notes and Events Data Pre-training from MIMIC-III

embeddings icon embeddings

Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

fiddle icon fiddle

FlexIble Data-Driven pipeLinE – a preprocessing pipeline that transforms structured EHR data into feature vectors to be used with ML algorithms. https://doi.org/10.1093/jamia/ocaa139

former icon former

Simple transformer implementation from scratch in pytorch.

medicationcategories icon medicationcategories

Quick script to parse out medications from discharge summaries in MIMIC format. Not that this approach uses minimal NLP, and can be vatly improved.

mimic-code icon mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

mimic3-benchmarks icon mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.

mimic_extract icon mimic_extract

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

openai-clip icon openai-clip

Simple implementation of OpenAI CLIP model in PyTorch.

pet icon pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

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