The Computational Imaging Science Lab at @BIOENGatIL led by Prof. Mark Anastasio performs research in computational image science and emerging imaging methods.
๐ Big congratulations to Panpan Chen on receiving the 2025 McGinnis Medical Innovation Graduate Student Fellowship! ๐
This prestigious award includes a $20,000 stipend and recognizes outstanding bioengineering graduate students advancing healthcare innovation. ๐
๐ Congratulations to CISL PhD student Hsuan-Kai Huang and collaborators on receiving the Best Paper Award at Photon Plus Ultrasound: Imaging and Sensing 2026, SPIE Photonics West!
#SPIE#PhotonicsWest#Photoacoustics
Dr. Anastasio and WashU Medicine launch the new Center for Computational & AI-enabled Imaging Sciences โ uniting experts in AI, imaging, and precision care to transform diagnosis and treatment.
https://t.co/xvyhAYjPv8
#AIinMedicine#ImagingInnovation
#Congratulations to Panpan Chen on her publication "Learning a Filtered Backprojection Reconstruction Method for Photoacoustic Computed Tomography with Hemispherical Measurement Geometriesโ in IEEE Transactions on Medical Imaging. https://t.co/WYMcO4124T
#Congratulations to Panpan Chen on being named a 2025 McGinnis Medical Innovation Graduate Fellow. Panpan will continue to pursue her research aim for developing high-quality, real-time photoacoustic computed tomography imaging systems through advanced computational methods.
Congratulations to Gangwon Jeong and the lab on their recent publication.
Revisiting the joint estimation of initial pressure and speed-of-sound... https://t.co/Omzpz1QePj
#ComputedTomography#Photoacoustic
Congratulations to Kevin Huang on his publication of "Fast aberration correction in 3D transcranial photoacoustic computed tomography via a learning-based image reconstruction method" in Photoacoustics. It is now available online at https://t.co/yLIOuVw64x
#Photoacoustics
CISL student Kevin (Hsuan-Kai) Huang will present twice at @PhotonicsWest today. Please congratulate Kevin for his continued groundbreaking work
#SPIE#PhotonicsWest
Congrats to Kaiyan, Dr. Li, and Dr. Anastasio on the publication of their paper "Investigating the use of signal detection information in supervised learning-based image denoising with consideration of task-shift" in the Journal of Medical Imaging.
#Imaging#MedicalImaging
New article! Congratulations to Rucha and Muzaffer on the publication of "Assessing the Capacity of a Denoising Diffusion Probabilistic Model to Reproduce Spatial Context" on IEEE Xplore.
https://t.co/fsWJWf52jj
#Imaging#MedicalImaging#NoiseReduction#BiomedicalImaging