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TheodoreIoannidis/README.md

Hi there 👋

Theodore Ioannidids MSc in Artificial intelligence, UU | MEng in Electrical and Computer Engineering, AUTh. I am particularly interested in Computer Vision and enjoy tackling real-world problems, expecially in healthcare.

Contact: ioannidis.theo908@gmail.com

My MEng thesis 'Small Intestine Anomaly Detection using Self-Supervised Learning and YOLOv8':

My MSc thesis 'Hierarchical Multi-Stream Video-Based Sleep State Classification for Preterm Infants in the NICU':

  • coming soon

My GitHub stats Top Langs

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  1. FallGuard FallGuard Public

    An enterprise-grade, backend gateway for real-time patient fall detection. Ingests raw video frames via FastAPI, processes human skeletal landmarks using server-side AI (Google MediaPipe), and eval…

    Python

  2. SimCLR-YOLO-anomaly-detection SimCLR-YOLO-anomaly-detection Public

    Anomaly detection in the small intestine using YOLOv8 and SimCLR. Code from my thesis at AUTh Electrical and Computer Engineering.

    Jupyter Notebook

  3. LeNet5-CIFAR LeNet5-CIFAR Public

    CIFAR10, CIFAR100 classification with LeNet5 CNN. Computer Vision assignment from my Master studies at Utrecht University.

    Jupyter Notebook

  4. ChrisIoannidis4/DataMining ChrisIoannidis4/DataMining Public

    Python 2

  5. Restaurant-Recommendation-Dialog-System Restaurant-Recommendation-Dialog-System Public

    Dialog system which recommends restaurants in Cambridge, based on user's preferences. Assignment from my 'Methods in AI research' course (UU).

    Python

  6. SkinLesionSegmentation SkinLesionSegmentation Public

    Jupyter Notebook