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dleventis/README.md

Research Focus AI

Dimitrios Leventis, MD, MSc

About Me

Radiology Resident at the University Hospital of Heraklion

MSc in Forensic Medicine, Anthropology & Imaging
University of Crete – School of Medicine

My work focuses on the intersection of:

• Medical imaging
• Forensic radiology
• Artificial intelligence
• Scientific software development

Research focus:

• Post-Mortem Computed Tomography (PMCT)
• Radiomics and quantitative imaging
• AI segmentation of medical images
• Digital autopsy / Virtopsy

Research Profiles

LinkedIn
https://www.linkedin.com/in/dimleventis/

Google Scholar
https://scholar.google.com/citations?user=P2PEmysAAAAJ&hl=el

ORCID
https://orcid.org/0009-0005-7271-2933

Forensic Imaging Research

Research projects include:

• PMCT vs Autopsy fracture detection
• Observer variability in forensic imaging
• Radiomics applications in forensic medicine
• AI segmentation pipelines for CT imaging

Technical Skills

Programming

Python
SQL
Bash

AI / Data Science

PyTorch
Scikit-learn
NumPy
Pandas

Medical Imaging

DICOM processing
Radiomics feature extraction
Image preprocessing

Systems

Linux (Mint, Pop!_OS, AthenaOS, Arch, Kali, Purple Kali)
Windows
macOS

AI workstation configuration.

Academic Activity

Radiology Resident
University Hospital of Heraklion

MSc
Forensic Medicine, Anthropology & Imaging
University of Crete

Research member
ATI Lab – Forensic Imaging

Conference presentations in radiology and forensic imaging.

Awards

Dr. Patricia Flach ISFRI Prize (2024)

ECR Invest in the Youth Fellowship

Vision

My long-term goal is to contribute to the development of AI-augmented radiology and digital forensic imaging, bridging medicine, computer science, and computational analysis.

Future medical research will rely on open science, reproducible pipelines, and collaborative tools, which is why I build and share projects on GitHub.

Connect

LinkedIn
https://www.linkedin.com/in/dimleventis/

Publications & Research

Areas of publication:

• forensic radiology
• PMCT fracture detection
• radiomics and quantitative imaging
• AI in medical imaging

(Full list will be linked to Google Scholar)

Vision

My goal is to contribute to the development of AI-augmented radiology and digital forensic imaging.

I believe the future of medical research depends on:

• open science
• reproducible pipelines
• collaborative tools
• medical AI integration

GitHub Statistics

GitHub Stats

Top Languages

Contribution Activity

GitHub Activity Graph

Visitors

Visitors

Tools & Technologies

Python

PyTorch

Linux

SQLite

DICOM

Radiomics

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