This is my first conference as a PhD student, and I'm very grateful to my collaborators at MIT, Inria, and Boston Children's Hospital for their support. If you'll be at ISMRM this year, I'd love to connect. (3/3)
#FetalMRI#EquivariantNetworks#AIinHealthcare#MedicalImaging
I'm excited to share that I'll be heading to #ISMRM2025 in Honolulu this week to present my poster, "3D Fetal Head Pose Estimation from MRI Navigators with Equivariant Networks." (1/3)
My work promises to enable real-time motion correction in fetal neuroanatomical scans, and introduces a novel pose estimation framework that exploits the symmetries in rigid head motion (2/3).
Last summer, I had the wonderful opportunity of interning at @MITLL, where my work, “InvRT: Solving Radar Inverse Problems with Transformers”, resulted in a paper and invited talk at the 2023 AAAI AI2ASE workshop. Check out the paper here ➡️ https://t.co/oMJTKo7srF
New from @Science by @Penn's @claulopezneuro: Women researchers are cited less than men. Here’s why—and what can be done about it https://t.co/XmDPah52JN
Excited to announce our latest NeuroImage: Clinical @eic_nic paper!
We developed a deep-learning algorithm to segment surgical resection cavities🔪🧠
Thanks @RamyaMut@_Nishant_Sinha@VickyLMorgan@Englot @katedavis12341 @joelsteinmd et al.
Paper: https://t.co/AqFkaGIoLy 👈
We are lucky to have so many young, bright, and talented interns with us this summer! Students have the unique opportunity to gain hands-on experience here at the Lab, contribute to projects, and gain experience that complements their courses of study. 🙌
Photo: Nicole Fandel