Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures: 4th International Workshop, CARE 2017, and 6th International Workshop, CLIP 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
... Ángel González Ballester, Jonathan McLeod, Klaus Drechsler, Terry Peters, Marius Erdt, Kensaku Mori, Marius George ... decay of 5e–8. Adam, a gradient-based optimization method similar to stochastic gradient descent proposed in [17] ...
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning: 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings
... Yes indicates studies used scoliotic cohorts (Scoliotic?) or deformable model registration (Deformable?). DSC and aHD Evaluations were performed on vertebral bodies (VBs) ... Yes No VBs: 0.82 IVDs: 0.74 Not Tested [9] No Yes VBs: 0.93 VBs ...
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures: First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
... Dropout as a Bayesian approximation: representing Model Uncertainty in deep learning (2016) 6. Kendall, A., Gal, Y.: What uncertainties do we need in Bayesian deep learning for computer vision? In: Advances in Neural Information ...
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures: 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings
... learning task. The x/y dimension of the resulting bounding box becomes: XB ×YB + 2m. + 2m and YB Zero-Padding. As the dimension of each bounding box is different, we apply zero-padding on the bounding boxes to obtain inputs with a fixed ...
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