MRI and CT Abnormality Detection for AI Training
Summary
IT specialist dedicated to medical imaging, certified as a Medical Imaging Annotation Specialist (Micro1). Experienced in analyzing MRI scans (brain, spine, abdominal regions) and Chest X-rays. Skilled in identifying normal and abnormal structures to support AI research, dataset development, and medical projects. Contributor to Zooniverse projects "Train an AI in Radiology" and "Brain Match".
Key Projects
1. YouTube Channel – @WinterDepression9: 70+ daily case review videos; pathologies visually presented with detailed analysis; focus on Brain, Spine, Stomach, Spleen, Liver, Gallbladder & Bile Ducts, Pancreas.
2. Zooniverse: 170 Chest X-ray cases (“Train an AI in Radiology”), 50 MRI brain scans (“Brain Match”)
Education
- Chelyabinsk State University College (2018–2022)
Associate of Science
Specialization: Information Systems Technician
Certifications
- Micro1: Medical Imaging Annotation Specialist
- Zooniverse: Volunteer Certificate
- Alison: Medical Imaging and Radiology
- Stepik: Biotech: AI in Medicine
- The Open University: Metals in Medicine; Innovation in Health & Social Care; Introduction to Data & Information in Health & Social Care
Skills
Image Annotation, MRI Annotation, CT Scan Labeling, Medical Image Analysis, Pathology Identification, Artificial Intelligence, Data Labeling, Research, Clinical Data Review, Medical Terminology, Healthcare, Medical Domain Knowledge, Clinical Documentation Accuracy, Bioinformatics, Written Communication, Verbal Communication, Reading Comprehension, STEM Education, Clarity of Explanation, Subject-Matter Expertise, Physics, Biophysics, Attention to Detail, Analytical Skills
Work Terms
Hours of operation: I am available 7 days a week, 8:00–22:00 GMT+5 (Chelyabinsk time).
Communication: Via Guru messages; response within 24 hours.
Payment terms: Payment in advance for fixed-price projects; hourly projects invoiced weekly.
Project scope: Flexible case volume; reports can be brief or detailed as requested.
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