Delighted to share that our publication on a projection-domain low-count quantitative SPECT method for alpha-particle-based radiopharmaceutical therapies has been accepted for publication to the IEEE Transactions on Radiation Imaging and Plasma Sciences! The arxiv version of the article is available here. In this manuscript, we develop a method to perform quantification of uptake within different […]
Yan Liu has been awarded the Society of Nuclear Medicine and Molecular Imaging (SNMMI) Student Research Grant! In this project, Yan will be developing new methods to quantify and harmonize PET radiomic features. Thanks to SNMMI for supporting this effort of Yan.
Excited to share that eleven abstracts based on work done by our lab and with collaborators have been accepted at the 2022 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting to be held in Vancouver, Canada. One of these abstracts was first-authored by Yan Liu, who accomplished this research during her rotation period […]
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) organized an AI summit with the goal of convening and gather various representatives from major stakeholders in nuclear medicine and AI spaces to identify and address barriers to the development of AI and ML tools for nuclear medicine, molecular imaging, and radiopharmaceutical therapy. Dr. Jha presented […]
Delighted to share that Ziping Liu was one of eight finalists for the Robert F. Wagner Best Student Paper Award at the SPIE Medical Imaging meeting. This was for his paper on no-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise. Well done, Ziping!
Zitong and Ziping presented talks at the SPIE Medical Imaging meeting on their works on developing an observer-study-based characterization and on no-gold-standard evaluation at the 2022 SPIE Medical Imaging meeting. Great job Zitong and Ziping!
Excited to share news of our new publication in Nature Medicine! AI algorithms often provide an uncertainty output, and we asked the question of how should this uncertainty be handled in clinical settings, leading to some fascinating ideas and findings! Give it a read here. Enjoyed the collaboration with Drs. Jonathan Birch (London School of […]
Yan Liu, PhD student in the Imaging Sciences program, is the latest addition to our lab! Within her two-month rotation period, Yan generated and submitted an abstract on PET radiomics for the SNMMI 2022 Annual Meeting! Great job Yan and we are excited to have you join us!
Excited to share that we have been awarded an NIH R56 grant on the topic of developing methods for oncological PET segmentation for the clinical goal of personalizing therapy in patients with non-small cell lung cancer. The Washington University media office did a press release on us receiving this grant. Link to press release here. […]
Our article outlining a framework, strategies, and role of physicians in task-based evaluation of AI methods for medical imaging has been published in special issue on AI in PET Clinics! Excited about this highly collaborative multi-institutional effort! Link to article here and arxiv version here. The WashU media office did a press release on this […]
Dr. Jha gave an invited talk at the World Molecular Imaging Congress 2021 Annual Meeting on how machine learning is pushing the boundaries of quantitative PET. The talk was followed by a stimulating panel discussion that centered on emerging areas in applying machine learning to medical imaging, challenges to address to make AI trustworthy, and […]
Ziping passed his thesis proposal exam with flying colors! His thesis proposal focused on developing novel image-analysis methods for nuclear-medicine imaging. Ziping's dissertation committee consists of Dr. Clifford Robinson, Dr. Yuan Chuan Tai, Dr. Joyce Mhlanga, Dr. Deshan Yang and Dr. Jha. Many thanks to all the committee members for all their inputs during the […]