MD and research associate in abdominal radiology at Shariati Hospital, Tehran University of Medical Sciences. I work on quantitative MRI in inflammatory bowel disease, at the point where imaging methodology meets clinical decision-making.
Most of what I build starts from a problem I hit in my own research: disease activity that endoscopy measures invasively and MRE could measure better, radiology reports that hold structured information no one can query, literature that arrives faster than I can triage it. The tools here are reproducible by design, because the alternative is work that cannot be checked.
- Bayesian multilevel modelling for segmental Mayo Endoscopic Score triage in ulcerative colitis, using MRE features and faecal calprotectin
- Quantitative MRE in ulcerative colitis: motility, chronicity, and activity
- Working toward an agentic LLM pipeline for Lémann Index scoring from free-text MRE reports in Crohn's disease, currently at the deterministic foundation stage
- Two first-author oral presentations at ESGAR 2026, both delivered on my behalf by Dr Gauraang Bhatnagar
- First-author motility manuscript under review at Journal of Crohn's and Colitis
- Ongoing collaboration with UCL and Motilent on quantitative bowel MRE
uc-mre-activity-risk-stratifier — Bayesian ordinal regression estimating segment-level Mayo endoscopic severity from MRE features and faecal calprotectin. Marginalises the patient random intercept via Gauss-Hermite quadrature to give new-patient probabilities rather than population averages. Across 245 segments from 49 patients, marginal AUC 0.84 to 0.87; 53% of segments resolve into definitive low or high-risk tiers without endoscopy. Model constants are versioned; scope limits are explicit. DOI: 10.5281/zenodo.18171572
abdominal-radiology-reports — Pipeline for turning free-text abdominal radiology reports into structured, queryable records, built as the data infrastructure the imaging work runs on. Patient data never enters the repository; tests use synthetic documents only. Phase 0 complete, Phase 1 in progress.
lemann-li-app — Streamlit implementation of the updated Organ and Global Lémann Index (Pariente et al., Gastroenterology 2021). Research and education use only. DOI: 10.5281/zenodo.17513800
ibd-digest — A daily pipeline that fetches new IBD imaging research from PubMed and Crossref, ranks it by SPECTER2 semantic similarity against a curated corpus, and delivers a tiered digest to Obsidian. The interesting problem was calibration: SPECTER2 produces uniformly high cosine similarities on in-domain biomedical text, so fixed thresholds are useless. Tiers are anchored to corpus percentiles instead. Runs unattended on a schedule.
radiology-clip-mini — A CLIP-style image-text retrieval baseline for chest radiographs and reports, built as a reference implementation others can actually run. ResNet-18 and DistilBERT encoders, symmetric InfoNCE, Grad-CAM interpretability, patient-level splits to prevent leakage. Versioned on Zenodo with CI and deterministic seeds. DOI: 10.5281/zenodo.17795012