PIGSKIN is now published in AI in Neuroscience. Our paper uses synthetic images and neural networks for automatic pig MRI skull stripping in preclinical neuroimaging. Congrats @JDadashkarimi , Drew Parker, @Ragini__Verma , and team.
https://t.co/IesuDUomL3
🚨 We're hiring! Dr. Ragini Verma’s DiCIPHR Lab @PennMedicine is looking for a postdoc to join our neuroimaging team 🧠
Work on dMRI, fMRI & connectomics tackling autism, TBI & brain tumors.
📍 On-site @Penn
🔗 Apply: https://t.co/QQPJHoE25A
RT or tag someone great!
🧠 Exciting news! Our latest paper has just been published in Human Brain Mapping:
Big Data, Small Bias: Harmonizing Diffusion MRI‐Based Structural Connectomes to Mitigate Site‐Related Bias in Data Integration 📄 Rui Sherry Shen et al.
🔗 https://t.co/nxSTp9aHX7
Dr. Ragini Verma (@Ragini__Verma ), Principal Investigator of DiCIPHR Lab, will be presenting on "Detecting Divergent Structural Connectivity in Autism Via Multisite Harmonization" at the INSAR 2025 Annual Meeting in Seattle, WA, USA. ��� #INSAR2025 #AutismResearch #DiCIPHRLab
Beyond grateful and honored to receive the Hovda Award at @Neurotrauma#nns2024 ⚡️🧠
Couldn’t have done it without my amazing mentor @Ragini__Verma and the wonderful @DiCIPHR lab! Absolutely lucky to be surrounded and working with such amazing minds @PennMedicine
Had the honor of speaking and presenting at #NNS2024!
Talked about our study taking the first step towards an imaging-based patient specific marker for outcome prediction in mTBI patients 🧠⚡️
Extremely grateful to @Ragini__Verma@DiCIPHR for all the mentorship and support!
@DiCIPHR is at @Neurotrauma 2024 in San Francisco! Please stop by Drew’s and Satvik’s posters to check out how we are making a difference in TBI research with translational modeling and machine learning! #NNS2024
Learn more about application of AI in outcome prediction following mTBI at the data blitz (DB16) talk at 1 pm.
Step towards imaging and patient specific marker 🧠
#nns2024@Neurotrauma
DiCIPHR is proud to represent at the @AutismINSAR Annual Meeting in Melbourne, AUS! Please come see Isabel’s poster at 11:30 and @SherryRuiShen’s talk at 2:30 to learn more about our large dMRI-ASD dataset, CHARM, and biomarkers we have found using normative modeling!
Had an amazing time presenting this work for the first time at #NNS2023! Got amazing feedback and thank you everyone for stopping by!
Really thankful to my mentor @Ragini__Verma and amazing Drew!
Excited to further expand this study!
Welcome to the Day 3 of #NNS2023!
I will be presenting my poster "Deep-Learning Based Brain Age Deviation Index: A Neuroimaging Marker of Neurodegeneration Following Mild TBI" at P04.130.
Stop by to learn more about our work!
@DiCIPHR@Ragini__Verma@Neurotrauma
Interested in imaging? Have analytic and/or programming experience? Looking for a dynamic and colorful work environment? Join us! The DiCIPHR lab is hiring https://t.co/2ACmBcfYuy
Thanks to the relentless hard work of the members of my lab @DiCIPHR, collaborators in @PennRadiology, @PennMedicine and worldwide, and patients who consented to the research, who were instrumental to my success and share my honor.
If you're interested in attending virtually, you can check out their scheduling link https://t.co/rovFMtp04B. Adnan will be presenting from 4-5:30PM during the Scientific Abstract Presentations: Machine Learning Algorithms & Toolkits Session ID C1005
Another reason to celebrate: Adnan Ahmad will also be presenting "3D-QCNet – Automated Artifact Detection in Diffusion MRI" at the @SIIM_Tweets Conference on Machine Intelligence in Medical Imaging #CMIMI21
Way to go Adnan!🥳
If you're interested in attending virtually, you can check out their scheduling link https://t.co/rovFMtp04B. Adnan will be presenting from 4-5:30PM during the Scientific Abstract Presentations: Machine Learning Algorithms & Toolkits Session ID C1005
Congratulations to Adnan Ahamd who will be presenting "Automated Fiber Tract Segmentation using Recurrent Sequence Learning" on Sept 19th as a part of the @SIIM_Tweets Conference on Machine Learning Intelligence in Medical Imaging #CMIMI21
Congratulations to Sherry Shen who will be presenting "Generative embedding demonstrates altered structural connectivity in autism spectrum disorder" on Sept 20th as a part of the @SIIM_Tweets Conference on Machine Intelligence in Medical Imaging #CMIMI21