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I am often invited to review papers on deep learning for medical images. Unfortunately many papers do the same mistake; they split data into training/validation/test on the slice/image/patch level instead of on the patient level. This will lead to inflated test scores, as images

Making skin more transparent could greatly improve utility of optical imaging in vivo! Simply uses tartrazine, a yellow food coloring approved by FDA, put into a gel and applied to skin, with transparency after just 5 minutes en.wikipedia.org/wiki/Tartrazine

This was a fun event for me, gathering of experts in #ProstateCancer imaging to discuss state of the art and new opportunities

Mapping coil B1 in #hyperpolarized #MRI is challenging due to the non-renewable magnetization and short scan time. Here we've shown that it is possible to map this on a patient-by-patient basis using signal modelling! onlinelibrary.wiley.com/doi/10.1002/mr… Peder Larson

Together, UCSF Imaging's Drs. Jae Ho Sohn (Jae Ho Sohn, MD, MS), Yoo Jin Lee, Michael Ohliger & Peder Larson (Peder Larson) will examine factors affecting image quality in respiratory-triggered free-breathing lung MRI today at #RSNA24. RSNA

🛠️This is NOT a drill 🛠️ - Only 1️⃣ day until MRI Together! 🌎 Don’t forget to register! It’s easy - just go here: eventbrite.co.uk/e/mri-together… Take another look at our amazing program and choose which sessions to attend: mritogether.esmrmb.org/24m/schedule/ #MRITogether24 #mri #openscience

Impressive large (>10k cases) evaluation of #prostatecancer #MRI AI prediction. “An AI system was superior to radiologists using PI-RADS (2.1) at detecting clinically significant prostate cancer and comparable to the standard of care.” pmc.ncbi.nlm.nih.gov/articles/PMC11…

Had a great #MRI teaching experience using tabletop Ilumr scanner from resonint It was a transformative experience to be able to bring the system into the classroom and live demo on the MRI concepts we covered. Plus students had opportunity to get lots of hands on time

Inspiring story of UCSF HMTRC UCSF Imaging PhD alumni Philip Lee ! One of the many interesting career paths beyond the PhD The circuitous path: how BioE alumnus Philip Lee found his calling in medicine bioe.uw.edu/the-circuitous…

Research conducted at UCSF Center for Intelligent Imaging is advancing how renal masses are diagnosed through non-invasive techniques. A team, including Dr. Peder Larson (Peder Larson), analyzed CT exams & included an annotation in the form of bounding boxes or polygon masks. imagingdatasets.ucsf.edu/dataset/3