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Sajjad Amiri

@sajjadamiri

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Medical radiology researcher and MD building high-accuracy, interpretable AI diagnostics from DICOM.

Estonia

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What I'm looking for

I’m looking for a role where I can build interpretable, reproducible radiology AI—preferably contrast-free—using rigorous external validation and multicenter data, and translating DICOM insights into clinical workflows that improve decision-making.

I’m an MD and Medical AI Specialist bridging clinical radiology and machine learning, focused on developing high-accuracy diagnostic models for radiology. I’ve analyzed 1,360+ MRI cases, emphasizing Contrast-Free imaging and radiomics, and I build reproducible pipelines that achieve 91%-98% accuracy in external validation.

In my recent work as a Research Assistant at the University of Barcelona, I lead interpretable AI development for prostate cancer radiology—mapping 119 radiomics features to PI-RADS standards (Dictionary Version PM 1.0). I manage multi-sequence MRI datasets for 1,080 patients using IBSI-compliant pipelines, and I optimize validation with interpretable feature selection for strong external performance.

Previously at TELEVICO, I developed and validated a gadolinium-free AI framework for glioma diagnosis using multicenter cohorts (1,446 patients), reaching 94% cross-validation and 87% external validation accuracy. I also standardize AI metrics across Python, R, and MATLAB to improve reliability, and I translate complex results into radiological and biological dictionaries that support clinical decision-making.

Experience

Work history, roles, and key accomplishments

Current

Research Assistant

Current

University of Barcelona

Sep 2025 - Present (7 months)

Led development of an interpretable clinical dictionary mapping 119 radiomics features to PI-RADS standards to improve transparency for prostate cancer radiology. Built IBSI-compliant MRI radiomics pipelines for 1,080 patients and achieved 78% peak CV accuracy and 74% external validation accuracy using only 5 key features.

IBSI Compliant Pipelines PI RADS Feature Mapping Co Occurrence Based Prioritization Clinical Explainability

Clinical Research Manager

Outpatient Substance Abuse Treatment Center

Jul 2023 - Oct 2025 (2 years 3 months)

Managed a cross-functional healthcare team and maintained 100% data collection accuracy for a daily cohort of 30+ patients. Coordinated clinical care operations in support of research workflows.

Clinical Research Management Data Quality Assurance Cross Functional Team Leadership Daily Workflow Operations Healthcare Administration

Research Assistant

TELEVICO

Mar 2023 - Feb 2025 (1 year 11 months)

Conducted large-scale evaluation of 60 ML metrics across Python, R, and MATLAB, identifying implementational discrepancies that affect medical radiology AI reliability. Developed and validated a gadolinium-free glioma diagnosis framework on a multicenter cohort of 1,446 patients, reaching 94% cross-validation and 87% external validation accuracy.

Gadolinium Free Modeling Python Model Validation Machine Learning Pipelines

Medical Practitioner (Medicine)

Gharazi Hospital

Apr 2021 - Jun 2023 (2 years 2 months)

Provided emergency care for 40+ patients daily in high-pressure environments, strengthening rapid clinical reasoning relevant to diagnostic AI research. Delivered critical medical interventions while supporting safe, timely patient management.

Emergency Medicine Critical Care Support High Pressure Clinical Workflow Direct Patient Care Clinical Decision Making

Radiomics Research Intern

USERN

Mar 2022 - Feb 2023 (11 months)

Built radiomics and AI-based medical imaging workflows across MRI and CT for 500+ patients and improved baseline diagnostic accuracy by 15%+ for oncology applications. Developed 2+ open-source GitHub projects for tumor segmentation and multicenter classification using Python and deep learning.

Medical Imaging Multicenter Classification Python Deep Learning Feature Extraction GitHub

Education

Degrees, certifications, and relevant coursework

Tehran University of Medical Sciences

Doctor of Medicine (MD), Medicine

Earned a Doctor of Medicine (MD) with a thesis on the frequency and types of aspirated foreign bodies into the tracheobronchial tree in children referred to a pediatric medical center.