Webspace of Marcus Bloice

Institute for Medical Informatics, Statistics, and Documentation

Medical University of Graz

Contact

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Seminar and Course Materials

Scientific Writing 1 / Wissenschaftliches Arbeiten 1

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Modul 17: Imaging and Biostatistics / Bildgebung und Biostatistik

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Advanced Topics in Scientific Programming (ATSP)

Information for the course "Advanced topics in scientific programming: statistical methods and machine learning (PhD Molecular Medicine programme)", course code LV 0940.198, can be found below. Links will be updated for each year, the following are for the course in 2024.

Course details, enrollment, etc. via MedOnline.

Course materials via GitHub: https://github.com/imigraz/ATSP-2024

Software Projects

Augmentor

Augmentor is an image augmentation library for machine learning, employing a novel stochastic pipeline approach. It has several unique features such as randomised elastic distortions, has the ability to perform parallel ground truth augmentation, and supports multi-threading for fast data generation.

See the Augmentor GitHub repository here: https://github.com/mdbloice/Augmentor

Star

Pyrea

Pyrea is a software package for multi-view clustering, and allows for flexible ensemble structures to be created.

See the Pyrea GitHub repository here: https://github.com/mdbloice/Pyrea

Labeller

Labeller is a Python package that allows you to quickly set up an image labelling web application for manually tagging images for machine learning tasks.

See the Labeller GitHub repository here: https://github.com/mdbloice/Labeller

- Marcus D. Bloice | Inst. f. Medizinische Informatik, Statistik, und Dokumentation | Medizinische Universitaet Graz -