Amirreza Mahbod

Assistant Professor at Danube Private University Austria (DPU)

Vienna, Austria
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Summary

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Senior
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Top School
Amirreza Mahbod is an Assistant Professor and AI researcher with nine years of experience specializing in deep learning for medical image analysis, holding a PhD and a Habilitation track in Medical Informatics, Biostatistics & Complex Systems from the Medical University of Vienna. He has combined academic and industry roles—from postdoctoral work and lecturing at Vienna to research science positions and a visiting stint at KTH and Stanford—delivering practical machine learning solutions for microscopy and histopathology. His work focuses on developing robust deep-learning algorithms for nucleus detection, segmentation and classification, with a track record of translating research prototypes into applied tools within clinical and industrial settings. Based in Vienna, he bridges engineering, biostatistics and clinical needs, often tackling messy real-world imaging datasets rather than curated benchmarks. Colleagues note his rare blend of hands-on algorithm development and teaching, making him effective at both mentoring students and pushing applied AI projects toward deployment.
code9 years of coding experience
job10 years of employment as a software developer
bookMaster’s Degree, Biomedical/Medical Engineering, Master’s Degree, Biomedical/Medical Engineering at KTH Royal Institute of Technology
bookMaster’s Degree, Electrical and Electronics Engineering- Bioelectric, Master’s Degree, Electrical and Electronics Engineering- Bioelectric at Iran University of Science and Technology
bookHabilitation (Venia docendi), Medical Informatics, Biostatistics and Complex Systems, Habilitation (Venia docendi), Medical Informatics, Biostatistics and Complex Systems at Medical University of Vienna
languagesEnglish, Persian, German
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Github Skills (14)

digital-pathology10
pytorch10
machine-learning10
deep-learning10
tensorflow10
jax10
python10
data-science10
image-analysis9
git7
style-transfer5
image-retrieval4
instance-segmentation2
scoring2

Programming languages (3)

Jupyter NotebookMATLABPython

Github contributions (5)

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masih4/CryoNuSeg

Dec 2019 - Mar 2021

This repository includes the codes and descriptions to create a fully annotated dataset of nuclei from cryosectioned histological samples.
Contributions:55 commits, 7 pushes, 2 comments in 1 year 4 months
List of academic institutes/companies working on computer-based digital pathology image analysis
Contributions:69 commits, 3 PRs, 68 pushes in 2 years 2 months
digital-pathologyimage-analysis
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