CV

My research applies quantitative magnetic resonance enterography to inflammatory bowel disease, with an emphasis on segment-level modelling, calibration, and reproducibility. This page is the full record: appointments, education, publications and presentations, software, and technical skills.

Research appointments

Research Associate, Lead, Ulcerative Colitis Imaging Programme · Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences Jul 2023 – present

Supervisor: Prof Amir Reza Radmard. International collaboration with UCL/Motilent partners.

  • Led quantitative MRE research in IBD with a focus on ulcerative colitis: GIQuant motility, bowel wall activity markers, chronicity features, and segment-level validation against endoscopy.
  • Coordinated collaboration with Motilent and academic partners, aligning feature definitions, QC, and analysis plans across sites.
  • Built reproducible data and modelling pipelines integrating imaging, structured radiology features, narrative reports, and clinical or laboratory endpoints.
  • Developed report-structured workflows, including LLM-assisted extraction where appropriate, to support scalable research data capture from routine radiology text.

Research Contributor, Abdominal Imaging Group · Department of Radiology, Shariati Hospital, Tehran University of Medical Sciences Mar 2023 – Jun 2023

  • Began work on Crohn’s disease structural damage and Lémann Index scoring, which preceded the UC imaging programme.
  • Explored abdominal imaging research questions with Prof Radmard before proposing the UC activity programme.

Research Contributor, Imaging and Clinical Data Science · Shahid Beheshti University of Medical Sciences Dec 2022 – Jun 2023

  • Supported CT and MRI research projects spanning protocol review, dataset construction, and statistical analysis.
  • Performed diagnostic pathway analyses integrating imaging and clinical data to evaluate system-level outcomes.
  • Contributed to PanCanAID-related pipelines including curated datasets and semi-automated CT segmentation workflows.

Education

Doctor of Medicine (MD) · Shahid Beheshti University of Medical Sciences 2015 – 2022

Awarded on full scholarship.

Oral presentations

Non-invasive Triage of Ulcerative Colitis Activity: A Bayesian Risk Stratification Model Integrating MR Enterography and Fecal Calprotectin

Sarikhani M, Menys A, Torabi A, Bhatnagar G, Colombel JF, Radmard AR, et al.

ESGAR 2026, Montpellier – Oral presentation. First author; presented by Gauraang Bhatnagar.

Colonic motility MRI as a quantitative biomarker in ulcerative colitis: validation against endoscopic disease activity

Sarikhani M, Menys A, Torabi A, Bhatnagar G, Colombel JF, Radmard AR, et al.

ESGAR 2026, Montpellier – Oral presentation. First author; presented by Gauraang Bhatnagar.

Posters

Decreased colonic peristalsis assessed with motility MRI is associated with chronic structural damage as well as disease activity against the Mayo Endoscopic Subscore

Menys A, Sarikhani M, Torabi A, Kolahdoozan S, Bhatnagar G, Colombel JF, Radmard AR, et al.

ECCO 2026, Stockholm – Poster.

DOI

Quantitative assessment of colon motility in ulcerative colitis using MRE: correlation with endoscopic disease activity

Sarikhani M, Naim I, Torabi A, Kolahdoozan S, Nouri Najafabadi A, Radmard AR, et al.

ECCO 2025, Berlin – Poster. Presenting author.

DOI

Manuscripts

Segment-level prediction of endoscopic activity in ulcerative colitis using magnetic resonance enterography and fecal calprotectin: a Bayesian multilevel study

Sarikhani M, Menys A, Torabi A, Bhatnagar G, Colombel JF, Radmard AR, et al.

Final co-author review; preparing for submission to Alimentary Pharmacology & Therapeutics.

Decreased colonic peristalsis assessed with motility MRI is associated with chronic structural damage as well as disease activity against the Mayo Endoscopic Subscore

Sarikhani M, Menys A, Torabi A, Amouei M, Vahedi Tafreshi H, Sima AR, Naim I, Kolahdoozan S, Bhatnagar G, Colombel JF, Radmard AR.

Under review, Inflammatory Bowel Diseases.

The Impact of Quantization on the Medical Question-Answering Performance of Large Language Models: A Comparative Study

Khalafi MA, et al., Sarikhani M.

Unpublished manuscript. 2026.

Peer-reviewed articles

Large language models versus classical machine learning performance in COVID-19 mortality prediction using high-dimensional tabular data

Ghaffarzadeh-Esfahani M, Salahi-Niri A, Mohsenzadeh-Kermani A, Sarikhani M, et al.

Scientific Reports. 2025;15:42712.

DOI

Diagnostic accuracy of Ottawa Knee Rule for diagnosis of fracture in patients with knee trauma: a systematic review and meta-analysis

Kazemi SM, Khorram R, Sarikhani M, et al.

Archives of Academic Emergency Medicine. 2023;11(1):e30.

DOI

Global, regional, and national burden of cardiovascular diseases and risk factors in 204 countries and territories, 1990-2023

Global Burden of Cardiovascular Diseases and Risks 2023 Collaborators (including Sarikhani M).

Journal of the American College of Cardiology. 2025;86 (22), 2167-2243.

DOI

Book chapters

SWOT analysis of the integration of MRI in cardiology

Sarikhani M, Aarabi A, et al.

In: Ghaffari Jolfayi A (ed.). Navigating Cardiology’s Future. Springer; 2025. p.115–128.

DOI

The role of AI and cardiac MRI in identifying inflammatory heart disease

Ghoshouni H, Sarikhani M, et al.

In: Ghaffari Jolfayi A (ed.). Navigating Cardiology’s Future. Springer; 2025. p.103–114.

DOI

Software and open-science outputs

All software listed here is research code intended for transparent evaluation, not clinical deployment.

Lémann Index Calculator Streamlit

Computes cumulative structural bowel-damage (Lémann) scores in Crohn’s disease across segments and modalities. GitHub · Zenodo DOI

UC MRE Activity Risk Stratification Tool ESGAR 2026

Bayesian risk-stratification tool for non-invasive triage of ulcerative colitis activity, associated with the ESGAR 2026 oral presentation. GitHub · Zenodo DOI

radiology-clip-mini vision-language

A compact CLIP-style vision-language baseline for radiology image-text pairs. GitHub

ct-phrase-retrieval retrieval / NLP

Phrase-level retrieval over CT radiology report text. GitHub

Methods and technical skills

Area Detail
Core statistics Multilevel and hierarchical modelling (partial pooling, priors, posterior predictive checks); leakage-aware validation for clustered clinical data; decision-curve analysis; calibration.
Programming Python: pandas, NumPy, scikit-learn, PyTorch; reproducible workflows (Jupyter, VS Code, Git).
Medical AI and imaging Deep learning for medical imaging (PyTorch, MONAI); CLIP-style vision-language models; quantitative MRE feature operationalisation (motility and bowel wall markers); DICOM preprocessing (pydicom).
LLM and NLP LLM-assisted information extraction from radiology reports; agentic pipeline design with human-in-the-loop escalation.
Research software Modular repo structure; versioned releases with DOIs; Streamlit clinician-facing prototypes; Figma for workflow schematics.

Clinical practice

General Practitioner · Valiasr Local Medical Center, Alborz, Iran Jul 2022 – Jul 2024

Part-time during transition to full-time research in 2023.

Medical Intern · Teaching Hospitals (SBMU), Tehran, Iran May 2020 – May 2022

Peer review

  • Frontiers in Public Health: thyroid cancer cost prediction (ML). 2024.
  • Journal of Medical Internet Research: human-centred design in pancreatic cancer networks. 2024.

For complete records, see my Google Scholar profile.