BMIC Group ETH Zurich
@bmic_eth
Biomedical Image Computing Group @ ETH Zürich
We have two papers accepted to #MICCAI2025! "Anomaly Detection by Clustering DINO Embeddings using a Dirichlet Process Mixture” by Nico Schulthess and "Conformal forecasting for surgical instrument trajectory” by Sara Sangalli & Gary Sarwin. Excited to see you in Daejeon!
We are happy to announce that the article "Learning to segment anatomy and lesions from disparately labeled sources in brain MRI” from Meva Himmetoglu et al. is accepted to Medical Image Analysis journal! arxiv.org/abs/2503.18840
We have 2 papers accepted to #ICLR2025! 🎉 "Uncertainty modeling for fine-tuned implicit functions" by Anna Susmelj et al. and "Multimodality Helps Few-Shot 3D Point Cloud Semantic Segmentation" by Zhaochong An et al. ! arxiv.org/abs/2406.12082 arxiv.org/abs/2410.22489 Congrats!
Thanks again @d_zimmerer for the chance to address the MOOD community at #MICCAI2024! Our call for papers and accompanying dataset with @FrontMedTech are in the works. forms.gle/7gjF6R5YJ1rjNa… Until then, we’d love everyone’s input on how best to advance anomaly detection.
On the final day of #MICCAI2024, Yolanne Lee and Kyriakos Flouris are presenting their work on Energy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI, at the Deep Generative Models for MICCAI Workshop!
Happy to be here and exchange with peers at the end of fourth day of #MICCAI2024!
Spotlight presentation is over! You can find the poster in the Conference Center now to discuss more in detail.
Gary will present his paper at "Spotlight Session 15" at #MICCAI2024 on Wednesday, October 9, 2024 at the Main Hall!
We are excited to share the new paper by Ertunc Erdil et al. "Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks" published at Nature Communications: doi.org/10.1038/s41467…
Gary will present his paper at "Spotlight Session 15" at #MICCAI2024 on Wednesday, October 9, 2024 at the Main Hall!
We are happy to announce that the paper "Vision-Based Neurosurgical Guidance: Unsupervised Localization and Camera-Pose Prediction" by Gary Sarwin et al. got accepted early for #MICCAI2024! arxiv.org/abs/2405.09355
We are happy to share that the paper titled "Predicting mortality after transcatheter aortic valve replacement using preprocedural CT" from David Brüggemann et al. has been accepted to Scientific Reports! Check it out here: nature.com/articles/s4159…
We are excited to present two papers at #NeurIPS2023! "Expert load matters: operating networks at high accuracy and low manual effort" by @salusanga_ , @ertunc_erdil & @EnderKonukoglu, and "Canonical normalizing flows for manifold learning" by Kyriakos Flouris & @EnderKonukoglu.
It is with great pleasure that we share the news that Dr. Tianfei Zhou from our lab and his colleagues has won the prestigious Elsevier-MedAI Prize at MICCAI this year for their paper on interactive segmentation. Well deserved and big congratulations to you! #MICCAI2022
