Author: Xiaohui Zhang
Our research story has been published on the website of Beckman Institute!
https://beckman.illinois.edu/about/news/article/2022/01/07/investigating-medical-imaging-hallucinations
Congrats to our lab alumnus Dr. Weimin Zhou on joining Shanghai Jiao Tong University as a tenure-track assistant professor!
Congratulations to Kaiyan on his paper accepted to IEEE TMI.
Congratulations to Xiaohui for getting her paper published on Journal of Neuroscience Methods!
The paper introduces  a hybrid method using multiplex visibility graph and deep learning to classify sleep states based on wide-field calcium imaging data. The paper can be found at here.
Congratulations Dr. Shenghua He on a successful PhD defense for his research on deep learning for automatic microscopy image analysis!
Congrats to Varun and Xiaohui on their paper accepted for publication in the Journal of Medical Imaging!
📢We are looking for a Medical Image Processing and Machine Learning Postdoctoral Research Associate.
https://ws.engr.illinois.edu/sitemanager/getfile.asp?id=3500
Congratulation to Fu Li for getting his paper published in IEEE UFFC! The USCT breast phantom dataset is now publicly available on Harvard Dataverse.
Ultrasound computed tomography (USCT) is an emerging imaging modality for breast imaging that can produce quantitative images that depict the acoustic properties of tissues. Computer-simulation studies, also known as virtual imaging trials, provide researchers with an economical and convenient route to systematically explore imaging system designs and image reconstruction methods. When simulating an imaging technology […]
Congratulations to Xiaohui for getting her first neuroimaging paper published on Cerebral Cortex!
Our recent paper introduces a multivariate functional connectivity approach to mapping brain networks and imputing neural activity in mice. Paper Link: https://academic.oup.com/cercor/advance-article/doi/10.1093/cercor/bhab282/6372091?guestAccessKey=7e979214-771c-463e-8d2a-7907fdd5b0b2