Mohamad Habes

1/4 🧠🤖Harnessing the power of AI, our deep learning algorithm analyzes whole-brain enlarged perivascular spaces (ePVS) in a multi-ethnic cohort. Our findings underscore key differences in ePVS burden among ethnic groups. ##ArtificialIntelligence #stroke #DeepLearning

Everything new is also old. This from my 1984 PhD thesis: "AI is an experimental science, yet the complexity of its programs and problem domains often makes the interpretation of results very difficult. Programs often contain so many components and parameters that limitations on computer time and the sheer number of possibilities make it impossible to experimentally evaluate how each contributes to performance." Then I argued, just as I do today, for careful empirical studies in simplified settings that enable better scientific understanding.

Congrats to Dr. Di Wang @jieyoushen on successfully defending his PhD! One of the committee members remarked that it was among the best PhD theses he had seen in the past 30 years—a true testament to your hard work, innovation, and dedication.Excited to see the impact you’ll make

Organizing @MLCNworkshop alongside Yimming @xiaobird, @ThomasWolfers, #NichaDvorek, and many others was an incredible pleasure. Grateful for the teamwork and for the outstanding research that made this program a success. Here's to many more milestones together! @MICCAI_Society

#Udunna Anazodo and @eadeli

Incredible keynotes at #MLCN2024 during #MICCAI! Udunna Anazodo emphasized the need for more imaging data from African countries to enrich global research, while Ehsan Adeli explored the fascinating interplay between human action and neural networks. @MLCNworkshop #AI #Healthcare

Thrilled by the advancements presented at #MLCN2024 during @MICCAI_Society! From new frameworks for imaging data harmonization to cutting-edge AI for anomaly detection, early dementia detection, and lesion quantification—so many exciting applications transforming neuroimaging #AI

Another successful year for MLCN at #MICCAI! The workshop was filled with incredible research and innovation. Shoutout to all the presenters, especially to the best papers, for pushing the boundaries of #MachineLearning in #Neuroimaging. Looking forward to next year! #MLCN2024

Happening tomorrow :), join us!

Our program has been updated! Check out our HP mlcnworkshop.github.io We wish everyone a great time at #MICCAI2024

Happy to share one of my very favorites of our new papers: nature.com/articles/s4139… Early presence of Alzheimer's MRI patterns relate to cardiovascular, immune, and neurondocrine systems, subsequent progression relates to APOE4, tau, amyloid Led by @JunhaoWen

@alexfeuillet @BiAffect Congrats Alex 🎉🎊

(Hard to believe) In addition to @BiAffect we will continue to investigate sex differences in #Alzheimers using computational & mouse models (APP/E4 knockin, MRI, calcium imaging, transcriptomics) with a new NIH award. Big👏our mPIs Orly & Liang! They are the real heroes, not me!

Had an incredible experience at #AAIC24 this year! Our lab's work on #deeplearning #AI and vascular dementia was highlighted in an entire session, featuring talks from our amazing collaborators in MESA and our talented neurology resident, Sokratis Charisis. Proud of the team👏

Extremely insightful talk by a brilliant colleague @TNRLab!, congrats Eddie on delivering the opening plenary at the #AAIC24 🎊 🎉 🎉

Hey, folks--here for AAIC and wondering where you should eat and drink in Philly? Check out this good blog from Penn FTD Center trainee and local foodie Lasya Sreepada: bit.ly/eatlas-home. And feel free to hit up folks from @PennFTDCenter or @Penn_Memory for recs! #AAIC24

We just added intra-op ultrasound anatomical segmentation for our RESECT dataset (archive.norstore.no/pages/public/d…) for brain tumor resection! 🧠 For more info about the dataset, check out our new article: aapm.onlinelibrary.wiley.com/doi/10.1002/mp… @HassanRivaz @ingerid_r Matthieu Chabanas

with @JamesCole_Neuro , June S. Kim, Marc-Andre Schulz and Martin Sophie. Highlighted the excellent work of my PhD student Di Wang @jieyoushen

Had a fantastic symposium at #OHBM2024 in Seoul! Discussed cutting-edge work in #ExplainableAI and its validation for uncovering #dementia patterns from neuroimaging data. Exciting advancements in the field! #Neuroimaging #AI #ENDAlz

What an honor and what an amazing evening it was! Unforgettable, inspiring and something to aspire being worthy of! My partnerships with colleagues here have so enriched my life and science. Looking forward to much more!! @UTHSAResearch @CaroleDufouil @chargetiger @RHU_SHiVA @Debette4