Intravascular imaging and computer assisted stenting, and large-scale annotation of biomedical data and expert label synthesis : 6th Joint International Workshops, CVII-STENT 2017 and second International Workshop, LABELS 2017, held in conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings

Front Matter ....Pages I-XVI
Front Matter ....Pages 1-1
 Robust Detection of Circles in the Vessel Contours and Application to Local Probability Density Estimation  (Luis Alvarez, Esther González, Julio Esclarín, Luis Gomez, Miguel Alemán-Flores, Agustín Trujillo et al.)....Pages 3-11
 Intra-coronary Stent Localization in Intravascular Ultrasound Sequences, A Preliminary Study  (Simone Balocco, Francesco Ciompi, Juan Rigla, Xavier Carrillo, Josepa Mauri, Petia Radeva)....Pages 12-19
 Robust Automatic Graph-Based Skeletonization of Hepatic Vascular Trees  (R. Plantefève, S. Kadoury, A. Tang, I. Peterlik)....Pages 20-28
 DCNN-Based Automatic Segmentation and Quantification of Aortic Thrombus Volume: Influence of the Training Approach  (Karen López-Linares, Luis Kabongo, Nerea Lete, Gregory Maclair, Mario Ceresa, Ainhoa García-Familiar et al.)....Pages 29-38
 Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network  (Renzo Phellan, Alan Peixinho, Alexandre Falcão, Nils D. Forkert)....Pages 39-46
 VOIDD: Automatic Vessel-of-Intervention Dynamic Detection in PCI Procedures  (Ketan Bacchuwar, Jean Cousty, Régis Vaillant, Laurent Najman)....Pages 47-56
Front Matter ....Pages 57-57
 Exploring the Similarity of Medical Imaging Classification Problems  (Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim)....Pages 59-66
 Real Data Augmentation for Medical Image Classification  (Chuanhai Zhang, Wallapak Tavanapong, Johnny Wong, Piet C. de Groen, JungHwan Oh)....Pages 67-76
 Detecting and Classifying Nuclei on a Budget  (Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki)....Pages 77-86
 Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies  (Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin Compas, Tanveer Syeda-Mahmood)....Pages 87-95
 Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth?  (Alison Q. O’Neil, John T. Murchison, Edwin J. R. van Beek, Keith A. Goatman)....Pages 96-105
 Expected Exponential Loss for Gaze-Based Video and Volume Ground Truth Annotation  (Laurent Lejeune, Mario Christoudias, Raphael Sznitman)....Pages 106-115
 SwifTree: Interactive Extraction of 3D Trees Supporting Gaming and Crowdsourcing  (Mian Huang, Ghassan Hamarneh)....Pages 116-125
 Crowdsourced Emphysema Assessment  (Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne)....Pages 126-135
 A Web-Based Platform for Distributed Annotation of Computerized Tomography Scans  (Nicholas Heller, Panagiotis Stanitsas, Vassilios Morellas, Nikolaos Papanikolopoulos)....Pages 136-145
 Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images  (Sebastian Otálora, Oscar Perdomo, Fabio González, Henning Müller)....Pages 146-154
 Uncertainty Driven Multi-loss Fully Convolutional Networks for Histopathology  (Aïcha BenTaieb, Ghassan Hamarneh)....Pages 155-163
Back Matter ....Pages 165-166