Thrilled to announce our lab's first @NIH R01! I am so grateful for my team, the institutions we partner with, peers, family, and mentors, who helped make this a reality. Lots of work ahead, we are excited and ready to dive in!
And we are #hiring! @MIRimaging@SitemanCenter
Excited to share that @RobertJirsaraie’ s latest work on predicting psychopathology in adolescents is now out in @molpsychiatry ! In this work, Robert looks at multiple neuroimaging features and their predictive value. @ccplab_wustl@MIRimaging @WashUi2db @WUSTLmed
Building predictive models of mental health has been challenging. Our latest article demonstrates that neuroimaging features are a small yet important part of the equation, especially among adolescents with subclinical symptoms: https://t.co/FWGi6Xyh2b
Excited to see our recent work by @shawnclarkefan on deep learning classification of amyloid PET scans out in @radiology_rsna ! This is an MRI-free approach that showed great generalizabiltiy across different tracers! @MIRimaging @WashUi2db @WUSTLmed
My team is hiring a Research Scientist (recent PhD grad or with a couple of years' experience)
Mission: develop fundamental, state of the art tech at the intersection of imaging, vision, and machine learning. Come work w/ @2ptmvd, @hossTale & me
Apply: https://t.co/xUYIqkxddQ
Findings from a recent study led by MIR assistant professor @ArisSotiras could be key to determining how far Alzheimer's disease has progressed and ultimately help guide treatment. #MIRresearch
https://t.co/DDaBqSgZ1X
Data-driven decomposition and staging of flortaucipir uptake in AD:
NMF decomposition of tau uptake provides a low-dimensional framework for assessing the extent of tau pathology in AD.
Great work by @earnestt1234 and @ArisSotiras.
Findings from a recent study led by MIR assistant professor @ArisSotiras could be key to determining how far Alzheimer's disease has progressed and ultimately help guide treatment. #MIRresearch
https://t.co/DDaBqSgZ1X
.@ArisSotiras presenting MINDS lab work on leveraging AI for intra-cranial tumor imaging analysis at @MIRimaging Symposium. Work spearhead by @Satrajit_C and Peijie Qiu.
Excited to share my first paper from grad school!!! 😁 We used data-driven methods to develop a model for staging tau pathology in AD @ArisSotiras https://t.co/zRHsl27H1E
I'm an Organizing Committee Member of the 2024 IEEE International Symposium on Biomedical Imaging (ISBI). Join me in Athens, Greece, from 27-30 May 2024. #ISBI2024 https://t.co/tFZ6dqNMuM
📢 Applications open Nov. 9th for the Google Research Scholar Program, a program that supports early-career professors who are pursuing research in fields relevant to Google. Learn more and apply by Nov. 30th at https://t.co/xXI6uWczWM
New #postdoc opportunity in the Luna Lab! In this role, you'll conduct translational imaging research using computational image analytics and AI algorithms to help enhance cancer treatment guidance and prognostication. Learn more: https://t.co/V1ynHgihWm #MIRresearch#RadResearch
We found a psychedelic (DOI) altered neurovascular coupling and differential changed neuronal⚡️📉 vs hemodynamic🩸 📈 brain activity 🧠. These findings have grand implications for interpretation of psychedelic fMRI. https://t.co/SWlTBDOG64 @realJoshSiegel@adamqbauer@jordacular
Glad to see our chapter on graph-based image registration published! Fun working with Mattias Heinrich, Julia Schnabel @ja_schnabel and Nikos Paragios @AgoniGrammi on this!
The final steps of our launch are now complete!
The journal website at @mitpress is live: https://t.co/M0g8Qps7je
The full submission-platform is finalised - see link on journal website. (For papers already being considered, please continue to use https://t.co/llUhZ2M9YN)