Christos Davatzikos
@chrisdav66
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Very excited that our lifedpan brain MRI harmonization and analysis paper is in press in Neuroimage. Challenging study with >10,000 scans...
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Great honor for me to receive the DeLeon senior scientist award at the international Alzheimer's meeting. I share it with the amazing former PhD student @ZhijianYang97 who did this work ( https://t.co/I4ubFzrFUw), co-supervisors @JunhaoWen and Ilya Nasrallah, and collaborators.
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Excited to announce the publication of the first method to harmonize structural connectomes: facilitating big connectomic data studies @DiCIPHR
Diffusion MRI-based structural connectomes & site-related bias in data integration ft. @SherryRuiShen, Drew Parker, @Ragini__Verma (@PennRadiology) Benjamin Yerys, @BirkanTunc_, Timothy Roberts (@CHOP_Research) & @takishinohara (@UPennDBEI) @DiCIPHR
https://t.co/GLHbklR1Ow
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@AndrewZalesky and I will organize a symposium on "Unraveling brain heterogeneity across scales, systems, and diseases" at OHBM 2025! We have a great line-up of speakers (@YoungAlexL @chrisdav66 @yetianmed, Maria Di Biase, and myself) who will discuss cutting-edge topics,
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Trained as a computer scientist and bioengineer, I am over the moon to publish our paper (Neuroimaging endophenotypes reveal underlying mechanisms and genetic factors contributing to progression and development of four brain disorders) at @NatureBME: https://t.co/LLdX1RA5Al.
nature.com
Nature Biomedical Engineering - Nine AI-derived dimensional neuroimaging endophenotypes can identify high-risk individuals within the general population prone to developing four major brain disorders.
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Love surveys (part 2)? Our friends at "NiChart: Neuro Imaging Chart of AI-based Imaging Biomarkers" ( https://t.co/Iq4g05CqiD) are seeking opinions in two brief surveys! NiChart User Experience - https://t.co/MNonYYgjvv Shaping the Future of NiChart -
forms.office.com
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Happy to share this new work and play with our cool portal: https://t.co/pVOJrQVGvu Thanks to support from co-authors @chrisdav66 @AndrewZalesky @yetianmed @JianZengR Link:
academic.oup.com
Abstract. Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide intermediate phenotypes (i.e. endophenotypes) that
LABS' new paper on "MUTATE: a human genetic atlas of multiorgan artificial intelligence endophenotypes using genome-wide association summary statistics" https://t.co/OVnTlYSh2l
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⌛There is still time to submit an Academic Software Demo proposal to #ISBI2025! We welcome proposals for in-person demos of academic, open, free, and non-commercial software. Submit your proposal by February 24. Learn more here:
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We are delighted to announce that Pari V. Pandharipande, MD, MPH, FACR, will become Penn Medicine’s ninth Chair of Radiology, effective June 1, 2025. https://t.co/HSvlWExD1Y
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Please consider helping us by providing feedback for our NiChart standalone and cloud-based software in the two very short surveys at https://t.co/nBsrr5uZpW. What do you like /would you like to see? This will also help us meet the requirements of our Brain Initiative program.
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We value your opinion😇 Please take just a minute to share your feedback on NiChart—your insights make a difference! https://t.co/0Ku2McQPt4
github.com
Hello, The feedback from our community is incredibly valuable to NiChart. We would be grateful if you could take a few minutes to share your thoughts by completing our surveys. NiChart User Experie...
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Machine Learning-based Prognostic Subgrouping of Glioblastoma: A Multi-center Study https://t.co/dezIBobN2Z Congrats to Hamed Akbari, @SpyridonBakas and the ReSPOND team---very proud of this huge effort that provides an easy to apply personalized prognostication tool for GBMs
academic.oup.com
AbstractBackground. Glioblastoma (GBM) is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for
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Excited for SNO'24! 1) Results from our AI-guided precision radiotherapy trial extending patient survival by 40% (Fri), 2) Results from international ReSPOND consortium (Sun.; @drsuyash); 3) debate on AI in clinical trials (Sun); 4) @MacNasrallah on AI in radiopathomics (Sun.)
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I am very honored to receive this distinguished NIA award and give the annual lecture. It has been a long and enjoyable journey in aging research, with emphasis on AI in neuroimaging
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Some group wisdom put together about the new era in data-driven cancer research: https://t.co/wan6eHqRFr
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Happy to share one of my very favorites of our new papers: https://t.co/QMoQ4sqf3d Early presence of Alzheimer's MRI patterns relate to cardiovascular, immune, and neurondocrine systems, subsequent progression relates to APOE4, tau, amyloid Led by @JunhaoWen
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Going from data extraction and quality control to the generation of low-dimensional representations and to longitudinal analyses, an open source software is proposed to standardize current EHR data processing and analysis pipelines @fabian_theis
https://t.co/WvRDtpdrhy
nature.com
Nature Medicine - Incorporating a series of analytical steps, from data extraction and quality control to the generation of low-dimensional representations and to longitudinal analyses, an...
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We have a great set of speakers this year again! https://t.co/Etk1use2Wn
#MLCN #MICCAI @MICCAI_Society @MiccaiStudents @WomenInMICCAI @MiccaiS We are looking forward to seeing you :)
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Happy science fact of the day: It's a year since the first Imaging Neuroscience paper was published, with 280 papers since then. Hence in just the first year, over half a million dollars has stayed within academia, rather than going to Elsevier [shareholders etc].
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📢Call for Papers for #ISBI2025 is now open! ISBI 2025 will be held in Houston, Texas, United States, from 14-17 April 2024. Submit your paper by 11 October 2024 to be considered. Learn more about the submission guidelines and topics of interest here: https://t.co/RiSwqkYCnn
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