AI researcher · Palo Alto
I work in radiology AI to help radiologists save time.
Lead or senior author in Nature, Nature Medicine, Nature Biomedical Engineering, ACL, EMNLP, NeurIPS and ICLR.
Long-form reading notes on radiology AI papers, with a focus on report generation.
CT-Bench adds a description and a size to 20,335 DeepLesion CT lesions and builds 2,850 four-choice questions on them: what the release holds, what you can use today, and what its baselines and reader study say.
A MICCAI 2025 paper labels 800 cardiac MRI, CTPA, head CT and ultrasound reports and tests the released RadGraph extractors on them. What a fine-tuned extractor gains, what the comparison can and can't say, and what it means for scoring CT and MRI reports with RadGraph-F1.
CoCa-CXR is built to write what changed since the last chest X-ray, yet its RadGraph F1 is no higher with those comparison sentences. What its report score, its copied baselines and its progression benchmark can and can't show.
