📢 Just published: A systematic review on VR & AR in ventriculostomy! 🧠✨ Xiao

The same will be helpful for MICCAI

Congrats to our PhD trainee Taha Koleilat (co-supervised with Hassan Rivaz ) and co-author Hojat Asgariandehkordi for their accepted #MICCAI paper! MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation arxiv.org/abs/2403.20253

This paper had been rejected 4x at conferences and now got the #cvpr2024 best student paper runner up reward! arxiv.org/abs/2212.06872

Health-X Lab lunch party - Summer 2024 🥘☀️🙃

I guess only companies will be able to afford to apply machine learning and AI to the UK Biobank freezing out academic labs. Maybe that’s not the intent of this policy but that will be the consequence.

Finally a weekend without rain

Congrats to our trainee Simon Crete (co-supervised with Marta Kersten) for successfully defending his MSc thesis with an outstanding rating!

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… Hassan Rivaz Ingerid Reinertsen Matthieu Chabanas

😆

Congrats to our trainee Zirui Qiu (co-supervised with Hassan Rivaz) for successfully defending his MSc thesis with an excellent rating!

Congrats to our trainee Bahar Jahani for successfully defending her MSc thesis!

Congrats to Health-X trainee Christopher Neves Chris for his accepted paper Machine Learning in Clinical Neuroimaging (MLCN) MICCAI workshop! We proposed a novel explainable Multi-head GNN method to identify related brain network changes in Parkinson's disease with rs-EEG. Preprint: arxiv.org/abs/2408.00906

Congrats to Health-X trainee Pascal Spiegler Pascal for his accepted paper SWITCH workshop @ MICCAI 2024 MICCAI workshop! We proposed a new weakly supervised intracranial hemorrhage segmentation method using YOLO and an uncertainty-rectified SAM model. arxiv.org/abs/2407.20461

The soundtrack of a generation's memory 🐵👑 youtu.be/w_13U6FrK4U?si…

Congrats to our trainee Arash Harirpoush (co-supervised with Marta Kersten) for his accepted paper at AE-CAI #MICCAI workshop! We proposed the first pre-operative VR system for planning optimized trocar placement in thoracic surgery. 🫁 Preprint: arxiv.org/abs/2409.04414

We have a great set of speakers this year again! mlcnworkshop.github.io/program/ #MLCN #MICCAI MICCAI MICCAI Students Women in MICCAI MICCAI We are looking forward to seeing you :)

This year, Health-X lab will have a number of presentations on various perspectives of medical AI research at MICCAI 2024 and the satellite events. Our trainees and I look forward to discussing our works with you in Marrakech, Morocco! Hassan Rivaz Marta Kersten Gina Cody School of Engineering & Computer Science