
Jeff Siewerdsen
@jeffsiewerdsen
Professor of Biomedical Engineering, Johns Hopkins University
ID: 358253105
http://www.jhu.edu/istar 19-08-2011 16:37:59
189 Tweet
601 Followers
259 Following

Images are numbers... and numbers can be beautiful Numbers can do more than just help us count; they can help us discover beautiful patterns. Images provide an excellent example of numbers hidden behind beautiful objects.#RadiologyForEngineers Johns Hopkins BME


Maybe this image can help us find out if the brain thinks the way we think it does. "Images are numbers... and numbers can be beautiful" ~ A wise & awesome professor once told us. #RadiologyForEngineers Johns Hopkins BME

Here is a transformed image where the glioma in a patient's brain is bright and inflamed, clearly visible to a radiologist and individuals less experienced in the exciting field of medical imaging. Images are numbers... and numbers are beautiful. #RadiologyForEngineers Johns Hopkins BME


Congratulations!!! Dr. Pengwei Wu -- for his successful PhD defense at Hopkins BME -- Improved Image Quality in Cone-Beam CT for Image-Guided Interventions! Johns Hopkins BME Johns Hopkins BME Johns Hopkins Medicine


Congratulations, Dr. Pengwei Wu -- for successfully defending your PhD Thesis at Hopkins BME! istar.jhu.edu/istar.jhu.edu/… Johns Hopkins BME Johns Hopkins University Johns Hopkins Engineering


The I-STARs align at SPIE Medical Imaging 2022 -- back in-person for a GREAT conference! Johns Hopkins BME Johns Hopkins Engineering SPIE istar.jhu.edu/news/#SPIE2022


Congratulations, Dr. Runze Han! on defense of your PhD thesis at Hopkins BME! Dr. Han developed novel image registration algorithms for challenging problems in image-guided surgery. Extra-extra at I-STAR News: istar.jhu.edu/news/ Johns Hopkins BME Johns Hopkins Medicine Johns Hopkins Engineering


Cone-beam CT with an improved x-ray detector based on IGZO transistor readout -- new paper by Niral Sheth and colleagues at the I-STAR Lab Johns Hopkins BME shows the advantages. Johns Hopkins Engineering istar.jhu.edu/news aapm.onlinelibrary.wiley.com/doi/full/10.10…


Predicting surgical complications using machine learning -- Dr. Hassan and colleagues at UT MD Anderson identify unique predictors of hernia recurrence and readmission following abdominal wall reconstruction. MD Anderson Cancer Center #SurgicalDataScience consumer.healthday.com/ml-can-predict…


#MedTwitter looking to learn about deformable image registration? Brush up on techniques? Learn clinical examples and future work? IGCT program MD Anderson Cancer Center is hosting a 2 Day virtual workshop w/ an outstanding lineup of international speakers! mdanderson.org/IGCT


GREAT! workshop on Deformable Image Registration yesterday and today organized and hosted by Dr. Brock Kristy Brock and team at the Image-Guided Cancer Therapy (IGCT) Program MD Anderson Cancer Center . Yesterday DIR fundamentals... and today, DIR methods and applications from head to toe!
