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Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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konkalaitzidis/README.md

Hi there, I’m Kostas 👋

Machine Learning Engineer in Stockholm, Sweden 🇸🇪
Passionate about applying AI to improve human health
Exploring CNNs for uncovering behavioural correlates from neural imaging data

  • 🌐 Website
  • 💼 LinkedIn
  • 🧠 Currently learning: DL for imaging and shipping pipelines on scalable infrastructure

Featured Projects

Project Description Tech
BPNN Behavioural Prediction Neural Network for calcium imaging data TF CNNs Neuroscience
BioMotion App Activity-to-MET classifier with real-time prediction React Native FastAPI Python

Tech Stack

Get in Touch

📧 Email: kon.kalaitzidis [at] gmail.com

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  1. bpnn bpnn Public

    Code for the Behaviour Prediction Neural Network Toolkit that was developed for my MSc thesis titled "Direct Behavior Prediction from Miniscope Calcium Imaging Using Convolutional Neural Networks".

    Python

  2. srsbpi srsbpi Public

    Welcome to the SRSBPI toolkit repository, a novel brain prognostic index developed to aid in therapeutic strategies for lung cancer patients with brain metastases.

    HTML

  3. striatum-2choice striatum-2choice Public

    Forked from wegmor/striatum-2choice

    Code for the manuscript "Complete representation of action space and value in all striatal pathways", https://www.biorxiv.org/node/1217451.abstract

    Python

  4. cpr-ai cpr-ai Public

    An ML-powered clinical pathway recommendation system that helps healthcare providers determine the most appropriate next procedure for patients based on their demographics and conditions. Built as …

    Python

  5. digital-health-app digital-health-app Public

    Activity tracker that classifies smartphone accelerometer signals into 4 MET categories: Sedentary, Light, Moderate, Vigorous.

    Jupyter Notebook 1

  6. heart-disease-prediction heart-disease-prediction Public

    ML pipeline to predict heart disease using clinical features.

    Jupyter Notebook