As one of the partners in this @HorizonEU project, our PhDs @Kirchner_Max_@JenkeAlexander @docea_reuben @NCT_UCC_DD@DKFZ participated in this productive meeting. They presented the application of the extreme Near-Data processing platform in computer assisted surgery.
We kicked off this holiday season with a thrilling escape room adventure, followed by a cosy dinner filled with laughter and good vibes. 🎉
Here’s to teamwork, memories, and an incredible year ahead! 🥂✨@NCT_UCC_DD
🏅Take your chance to participate in the #OSS#Endovis subchallenge I'm organizing this year.🏆 Train a classifier in two tasks to evaluate surgical suturing skills. 📋🥼
https://t.co/Q2Za1yAq4g
I'm organizing the #Endovis sub challenge #FedSurg this year, take your chance to participate and gain experience to create a classifier in a #federatedlearning environment from data from different hospitals to classify the degree of inflammation of the #appendix.
🚨 How do we synthesize fully annotated and semantically consistent surgical datasets?
We address this in our work (ConStructS), which was published at @SpringerNature#IJCARS and will be presented at @IPCAI_conf
📜Paper: https://t.co/n1ALh9S6hn
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Interested in developing #SurgicalDataScience & endoscopic video analysis with #AI?
Still in time to join the third Surgical Data Science Summer School @IHUStrasbourg, July 15-19, 2024! #Edu4SDS
Application deadline April 15, 2024⏰
More info 👉https://t.co/MWLWlNG1pu
📢Excited to announce my latest (and first🎉) publication in @SpringerNature#IJCARS. Looking forward to presenting @IPCAI_conf#IPCAI_2024#CARS 🚀Dive into the future of surgical training with our latest benchmark on a new dataset from #UKAachen🏥
https://t.co/ziXYxrtcRo
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New paper out at Medical Image Analysis!
https://t.co/qjEs7ch5KD
Using only CNN-LSTMs, we beat SOTA on 3 surgical video tasks, outperforming Transformers.
What did we do?
Turns out, the key components are simply:
- end-to-end training
- a backbone without BatchNorm!
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🌟 Join Surgical Data Science Summer School 2024 (EDU4SDS) by IHU Strasbourg & University of Strasbourg! Dive into surgical innovation through AI & data analysis. 🗓️ July 15-19, 2024
More info: https://t.co/xOif4uHw1A
New study on the use of active learning for feature extraction from surgical videos with reduced annotation effort! Congrats to @johanna_m_bb and our PhD student @JenkeAlexander. Congrats to all the authors Antonia Stern @SpeidelStefanie @s_bodenstedt @MartinWagnerMD🎉 #Surgomics
New study: Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study https://t.co/y73kLpJdcZ
@JenkeAlexander is kicking off #SIMS subchallenge on multi-domain instrument segmentation as part of @endo_vis organized by @TSO_Lab @Medizin_TUD and sponsored by @TactileInternet, thanks to all participants and congrats to the winners #MICCAI2023 @s_bodenstedt @MartinWagnerMD