Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Description

This book constitutes the refereed joint proceedings of the 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the Third International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 9 full papers presented at CVII-STENT 2017 and the 12 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing. Front Matter ....Pages I-XVII Front Matter ....Pages 1-1 Blood-Flow Estimation in the Hepatic Arteries Based on 3D/2D Angiography Registration (Simon Lessard, Rosalie Planteféve, François Michaud, Catherine Huet, Gilles Soulez, Samuel Kadoury)....Pages 3-10 Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography (Pieter Thomas Boonen, Nico Buls, Gert Van Gompel, Yannick De Brucker, Dimitri Aerden, Johan De Mey et al.)....Pages 11-18 Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning (Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik et al.)....Pages 19-27 Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors (Miguel Alemán-Flores, Daniel Santana-Cedrés, Luis Alvarez, Agustín Trujillo, Luis Gómez, Pablo G. Tahoces et al.)....Pages 28-35 Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network (Haidong Hao, Hua Ma, Theo van Walsum)....Pages 36-44 Generation of a HER2 Breast Cancer Gold-Standard Using Supervised Learning from Multiple Experts (Violeta Chang)....Pages 45-54 Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images (Yihui Cao, Yifeng Lu, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li et al.)....Pages 55-63 Towards Automatic Measurement of Type B Aortic Dissection Parameters: Methods, Applications and Perspective (Jianning Li, Long Cao, W Cheng, M Bowen)....Pages 64-72 Prediction of FFR from IVUS Images Using Machine Learning (Geena Kim, June-Goo Lee, Soo-Jin Kang, Paul Ngyuen, Do-Yoon Kang, Pil Hyung Lee et al.)....Pages 73-81 Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks (Praneeth Sadda, John A. Onofrey, Xenophon Papademetris)....Pages 82-91 Front Matter ....Pages 93-93 An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images (Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung)....Pages 95-104 Crowd Disagreement About Medical Images Is Informative (Veronika Cheplygina, Josien P. W. Pluim)....Pages 105-111 Imperfect Segmentation Labels: How Much Do They Matter? (Nicholas Heller, Joshua Dean, Nikolaos Papanikolopoulos)....Pages 112-120 Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery (Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula)....Pages 121-130 Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling (Renzo Phellan, Thomas Linder, Michael Helle, Thiago V. Spina, Alexandre Falcão, Nils D. Forkert)....Pages 131-139 Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans (Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne)....Pages 140-149 Capsule Networks Against Medical Imaging Data Challenges (Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus)....Pages 150-160 Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images (Sekeun Kim, Yeonggul Jang, Byunghwan Jeon, Youngtaek Hong, Hackjoon Shim, Hyukjae Chang)....Pages 161-168 Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos (Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy)....Pages 169-179 Radiology Objects in COntext (ROCO): A Multimodal Image Dataset (Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, Christoph M. Friedrich)....Pages 180-189 Improving Out-of-Sample Prediction of Quality of MRIQC (Oscar Esteban, Russell A. Poldrack, Krzysztof J. Gorgolewski)....Pages 190-199 Back Matter ....Pages 201-202