04315nam 22006375 450 991034927320332120251113203911.03-030-32695-010.1007/978-3-030-32695-1(CKB)4100000009522956(DE-He213)978-3-030-32695-1(MiAaPQ)EBC5941451(PPN)25593937X(EXLCZ)99410000000952295620191010d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierOR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings /edited by Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (XVI, 114 p. 35 illus., 33 illus. in color.) Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;117963-030-32694-2 Proceedings of the Second International Workshop on OR 2.0 Context-Aware Operating Theaters (OR 2.0 2019) -- Feature Aggregation Decoder for Segmenting Laparoscopic Scenes -- Preoperative Planning for Guidewires employing Shape-Regularized Segmentation and Optimized Trajectories -- Guided unsupervised desmoking of laparoscopic images using Cycle-Desmoke -- Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration -- Live monitoring of hemodynamic changes with multispectral image analysis -- Towards a Cyber-Physical Systems Based Operating Room of the Future -- Proceedings of the Second International Workshop on Machine Learning in Clinical Neuroimaging: Entering the era of big data via transfer learning and data harmonization (MLCN 2019) -- Deep Transfer Learning For Whole-Brain FMRI Analyses -- Knowledge distillation for semi-supervised domain adaptation -- Relevance Vector Machines for harmonization of MRI brain volumes using image descriptors -- Data Pooling and Sampling of Heterogeneous Image Data for White Matter Hyperintensity Segmentation -- A Hybrid 3DCNN and 3DC-LSTM based model for 4D Spatio-temporal fMRI data: An ABIDE Autism Classification study -- Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites.Chapter 5 is available open access under a Creative Commons Attribution 4.0 International License via Springerlink.Image Processing, Computer Vision, Pattern Recognition, and Graphics,3004-9954 ;11796Computer visionArtificial intelligenceComputer VisionArtificial IntelligenceComputer vision.Artificial intelligence.Computer Vision.Artificial Intelligence.617.00785617.00285Zhou Lupingedthttp://id.loc.gov/vocabulary/relators/edtSarikaya Duyguedthttp://id.loc.gov/vocabulary/relators/edtKia Seyed Mostafaedthttp://id.loc.gov/vocabulary/relators/edtSpeidel Stefanieedthttp://id.loc.gov/vocabulary/relators/edtMalpani Anandedthttp://id.loc.gov/vocabulary/relators/edtHashimoto Danieledthttp://id.loc.gov/vocabulary/relators/edtHabes Mohamadedthttp://id.loc.gov/vocabulary/relators/edtLöfstedt Tommyedthttp://id.loc.gov/vocabulary/relators/edtRitter Kerstinedthttp://id.loc.gov/vocabulary/relators/edtWang Hongzhiedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910349273203321OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging2529454UNINA