Big cheers for Dr. Larson on earning her Ph.D.! 🎓 Your invaluable contributions to our lab won't be forgotten. Excited to see the wonders you'll achieve at Harvard University. The future is bright & the best is yet to come! @K_E_Larson Vanderbilt BME #NewBeginnings

See u Dr. Larson! We’ll surely miss u but we know that greater achievements are in store for u. Keep shining!

Please give a hand to our #MIDL2023 Local Organizing Committee! 🎉 Here are a few of them, from left to right: Daiwei Lu, Han Liu, Dr. Ipek Oguz (Conference Chair), Jiacheng Wang, Hao Li, Xing Yao

Best poster of #MIDL2023 goes to: Ana Leni Frei (left) for her poster titled: “Local and global feature aggregation for accurate epithelial cell classification using graph attention mechanisms in histopathology images” Congratulations on your hard work and accomplishment!

And that's a wrap! #MIDL2023 is complete. Thanks to the 267 participants from over 30 countries and 5 continents who attended midl.conference Vanderbilt University and to the presenters and people who made it possible.

And for our inside group photo (looks like we need a bit more photoshop experience...) /2

MedICL people is active at the MIDL!!

Addressing accuracy validation in cortical thickness measurement, Jiacheng and Dr. Larson have developed a method to generate realistic cerebrospinal fluid (CSF) and improve GM/CSF boundaries. Check out their latest MIDL paper here: openreview.net/pdf?id=HR1GtDQ…

The tutorial "Diffusion Models for Medical Imaging" at MICCAI will present an overview of generative modelling, discuss applications in the medical imaging field, and offer a session with demo and code that build upon the open-sourced library MONAI generative models.

Great #VUSE research news! VISEVanderbilt affiliates have been awarded a $2.3M NIH grant to combat childhood blindness. Read more about how they are working to breach the critical barrier to timely clinical intervention of blindness in preterm infants. engineering.vanderbilt.edu/news/2023/vise…

Congrats to #VISEaffiliates Ipek Oguz and Kenny Tao for their new $2.3M NIH grant to to combat childhood blindness. #engineeringfaculty #research

Congrats to #VISEaffiliate Daniel Moyer & Bennett Landman, part of an alliance supported by the U.S. National Science Foundation to boost AI-imaging in Middle Tennessee Bennett Landman (Vanderbilt MASI Lab) #VINElab #AI #engineering VU Engineering engineering.vanderbilt.edu/news/2023/nsf-…

DL in medical images relays on annotations. How to choose initial samples for annotation? Our benchmark dives into cold-start AL strategies for medical image annotation, highlighting ongoing challenges and showing promising trends. Link: github.com/MedICL-VU/COLo… MICCAI

🎉Congrats David for winning the best paper award on AE-CAI2023!! Please check our ASSIST-U system that automatically generates realistic ureteroscopy visuals from preoperative CT images to enhance surgical visualization! VISEVanderbilt MICCAI

Congratulations David!!! #MICCAI2023 winner for the best paper on AE-CAI2023!!

Congratulations to our PhD student David Lu and our faculty members Profs. Ipek Oguz and Jie Ying Wu for winning the best paper award on AE-CAI2023!👏👏👏

🎉Excited to share that Han Liu and the Vandy365 team just won the CrossMoDA2023 challenge! They achieve the SOTA performance on tackling the intricate task of 3-class tumor sub-segmentation using multi-institutional, heterogeneous data!!@ViseVanderbilt MICCAI

🎉Congrats Dewei’s MAP paper is presented by David on MedAGI 2023!! The proposed MAP framework can implicitly encourage the model to learn the domain-invariant features to achieve domain generalization! Paper Link: arxiv.org/abs/2309.01286 VISEVanderbilt MICCAI

Excited for the new semester, MedICL team! Let's make it a great one! 💪📚🌟

🏆 Excited to share our winning solution for MICCAI CrossMoDA 2023! 👨‍💻 Github: lnkd.in/ep4XcJ32 🛠️ Tackling multi-site 3D Brain MRI segmentation with a 3-step unsupervised domain adaptation: image translation, synthetic segmentation, and self-training. #MICCAI