🚨 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!

Excited to announce the publication of the first method to harmonize structural connectomes: facilitating big connectomic data studies @DiCIPHR

🧠 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. 🔗

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

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.

Honored to be elected an @aimbe Fellow. This would not have been possible without the amazing work of my team @DiCIPHR @PennRadiology in precision imaging creating brain google maps for #cancer, #autism, #TBI, and sex differences @CBICAannounce #PrecisionMedicine

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

If you're interested in listening or the abstract, check the schedule link for updates: https://t.co/5DeF1e56Uy$

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