what we do
Smart Medical Informatics Learning and Evaluation (SMILE) Group focuses on big medical data research, using scientific approaches to bridge data and medicine. Our effort spans from brain dynamics, medical image analysis, risk factor analysis, and computational neuron morphology.
Computational Health Informatics in the Big Data Age: A Survey Ruogu Fang*, Samira Pouyanfar*, Yimin Yang, Shu-Ching Chen, S. S. Iyengar (* indicates equal contributions) CSUR, ACM Computing Survey, Accepted.
Risk Factor Analysis: BRFSS website. Members: Yao Xiao, Daniel Parra; Big Neuron Analytics: neuromorpho.org, Members: Peng Liu, Jingan Qu, Maryam Aghili; Age Prediction from MRI: MRI images. Members: Xiaozhen Jiao
Here outlines opportunities to get involved with the SMILE Lab. The fiber of this lab’s existence rests on both undergraduate and graduate students. We are always interested in having intelligent, motivated, and responsible students join the lab.
SMILE Lab won the Best Poster Awards in the NSF-funded Research Experience for Undergraduates (REU) and Research Experience for Teachers (RET) during summer 2016. Paul Naghshineh, senior student from George Washington University, won the Best REU Poster Award for his summer research on convolution neural network for CT perfusion images super-resolution. Christian McDonald, a Biology teacher from Miami Jackson Read more about SMILE won Best NSF REU and RET Poster Awards[…]
Dr. Fang’s research appeared on FIU News. Professor uses computer science to reduce patients’ exposure to radiation from CT scans Posted by Millie Acebal 05/25/2016 at 2:48 pm Ruogu Fang When a doctor orders a CT perfusion scan, most people don’t give it a second thought as it’s necessary to evaluate serious medical conditions such Read more about Dr. Fang appeared on FIU News[…]
Dr. Fang has been selected to receive the 2016 Ralph E. Powe Junior Faculty Enhancement Award from Oak Ridge Associated Universities (two nominations from each institute, 35 awardees out of 132 applicants).
Dr. Fang received NSF CRII Award on “Characterizing, Modeling and Evaluating Brain Dynamics“. ABSTRACT Brain dynamics, which reflects the healthy or pathological states of the brain with quantifiable, reproducible, and indicative dynamics values, remains the least understood and studied area of brain science despite its intrinsic and critical importance to the brain. Unlike other brain Read more about 04/13/2016 NSF CRII Award[…]
Dr. Fang was awarded the Robin Sidhu Memorial Young Scientist Award at the Annual Congress of Society of Brain Mapping and Theurapeutics. News reported on PR Newswire, Yahoo,FIU NEWS.
Our paper entitled “Computational Health Informatics in the Big Data Age: A Survey” is accepted and will appear in the prestigiousACM Computing Survey!
Three papers are accepted through a double-blind review and will appear in the IEEE International Symposium on Biomedical Imaging 2016 held in Prague, Czech!
Several papers on wound imaging and analytics using near infrared imaging (NIR) have been accepted by SPIE, OSA, Innovations in Wound Healing conferences.
The special issue on Sparsity Techniques in Medical Imaging in the Journal of Computerized Medical Imaging and Graphics, where Dr. Fang served as the managing guest editor, is available online. The purpose of the journal Computerized Medical Imaging and Graphics is to act as a source for the exchange of information concerning the medical use Read more about 07/16/2015 Dr. Fang served as editor at Journal of Computerized Medical Imaging and Graphics[…]
Dr. Fang attended the 23rd International Society for Magnetic Resonance in Medicine (ISMRM)’s Annual Meeting at Toronto, Canada to present our work on “4-D Spatio-Temporal MR Perfusion Deconvolution via Tensor Total Variation” as an oral presentation.