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CVII-STENT/LABELS@MICCAI 2018: Granada, Spain
- Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman, Anne L. Martel, Lena Maier-Hein, Luc Duong, Guillaume Zahnd, Stefanie Demirci, Shadi Albarqouni
, Su-Lin Lee, Stefano Moriconi, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Eric Granger, Pierre Jannin
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. Lecture Notes in Computer Science 11043, Springer 2018, ISBN 978-3-030-01363-9
Proceedings of the 7th Joint MICCAI Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT 2018)
- Simon Lessard, Rosalie Plantefève, François Michaud, Catherine Huet, Gilles Soulez, Samuel Kadoury:
Blood-Flow Estimation in the Hepatic Arteries Based on 3D/2D Angiography Registration. 3-10 - Pieter Thomas Boonen, Nico Buls
Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography. 11-18 - Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni
Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. 19-27 - Miguel Alemán-Flores, Daniel Santana-Cedrés
Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors. 28-35 - Haidong Hao, Hua Ma
Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network. 36-44 - Violeta Chang:
Generation of a HER2 Breast Cancer Gold-Standard Using Supervised Learning from Multiple Experts. 45-54 - Yihui Cao, Yifeng Lu, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li, Rui Zhu:
Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images. 55-63 - Jianning Li, Long Cao
Towards Automatic Measurement of Type B Aortic Dissection Parameters: Methods, Applications and Perspective. 64-72 - Geena Kim, June-Goo Lee, Soo-Jin Kang, Paul Ngyuen, Do-Yoon Kang, Pil Hyung Lee, Jung-Min Ahn, Duk-Woo Park, Seung-Whan Lee, Young-Hak Kim, Cheol Whan Lee, Seong-Wook Park, Seung-Jung Park:
Prediction of FFR from IVUS Images Using Machine Learning. 73-81 - Praneeth Sadda, John A. Onofrey, Xenophon Papademetris:
Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks. 82-91
Proceedings of the 3rd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2018)
- Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images. 95-104 - Veronika Cheplygina, Josien P. W. Pluim:
Crowd Disagreement About Medical Images Is Informative. 105-111 - Nicholas Heller
Imperfect Segmentation Labels: How Much Do They Matter? 112-120 - Tae Soo Kim, Anand Malpani
Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery. 121-130 - Renzo Phellan, Thomas Lindner, Michael Helle, Thiago Vallin Spina, Alexandre X. Falcão
Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling. 131-139 - Silas Nyboe Ørting
Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. 140-149 - Amelia Jiménez-Sánchez
Capsule Networks Against Medical Imaging Data Challenges. 150-160 - Sekeun Kim, Yeonggul Jang, Byunghwan Jeon, Youngtaek Hong, Hackjoon Shim, Hyuk-Jae Chang:
Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images. 161-168 - Armine Vardazaryan
Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. 169-179 - Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, Christoph M. Friedrich
Radiology Objects in COntext (ROCO): A Multimodal Image Dataset. 180-189 - Oscar Esteban, Russell A. Poldrack
Improving Out-of-Sample Prediction of Quality of MRIQC. 190-199
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