• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 22 matches

• 2018
• 
  Miguel Alemán-Flores, Daniel Santana-Cedrés, Luis Álvarez, Agustín Trujillo, Luis Gómez, Pablo G. Tahoces, José M. Carreira:
  Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors. CVII-STENT/LABELS@MICCAI 2018: 28-35
• 
  Pieter Thomas Boonen, Nico Buls, Gert Van Gompel, Yannick De Brucker, Dimitri Aerden, Johan de Mey, Jef Vandemeulebroucke:
  Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography. CVII-STENT/LABELS@MICCAI 2018: 11-18
• 
  Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier:
  Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. CVII-STENT/LABELS@MICCAI 2018: 19-27
• 
  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. CVII-STENT/LABELS@MICCAI 2018: 55-63
• 
  Violeta Chang:
  Generation of a HER2 Breast Cancer Gold-Standard Using Supervised Learning from Multiple Experts. CVII-STENT/LABELS@MICCAI 2018: 45-54
• 
  Veronika Cheplygina, Josien P. W. Pluim:
  Crowd Disagreement About Medical Images Is Informative. CVII-STENT/LABELS@MICCAI 2018: 105-111
• 
  Oscar Esteban, Russell A. Poldrack, Krzysztof J. Gorgolewski:
  Improving Out-of-Sample Prediction of Quality of MRIQC. CVII-STENT/LABELS@MICCAI 2018: 190-199
• 
  Haidong Hao, Hua Ma, Theo van Walsum:
  Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network. CVII-STENT/LABELS@MICCAI 2018: 36-44
• 
  Nicholas Heller, Joshua Dean, Nikolaos Papanikolopoulos:
  Imperfect Segmentation Labels: How Much Do They Matter? CVII-STENT/LABELS@MICCAI 2018: 112-120
• 
  Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus:
  Capsule Networks Against Medical Imaging Data Challenges. CVII-STENT/LABELS@MICCAI 2018: 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. CVII-STENT/LABELS@MICCAI 2018: 161-168
• 
  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. CVII-STENT/LABELS@MICCAI 2018: 73-81
• 
  Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula:
  Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery. CVII-STENT/LABELS@MICCAI 2018: 121-130
• 
  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. CVII-STENT/LABELS@MICCAI 2018: 3-10
• 
  Jianning Li, Long Cao, Cheng Wang, Bowen Meng, Wei Guo:
  Towards Automatic Measurement of Type B Aortic Dissection Parameters: Methods, Applications and Perspective. CVII-STENT/LABELS@MICCAI 2018: 64-72
• 
  Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne:
  Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans. CVII-STENT/LABELS@MICCAI 2018: 140-149
• 
  Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, Christoph M. Friedrich:
  Radiology Objects in COntext (ROCO): A Multimodal Image Dataset. CVII-STENT/LABELS@MICCAI 2018: 180-189
• 
  Renzo Phellan, Thomas Lindner, Michael Helle, Thiago Vallin Spina, Alexandre X. Falcão, Nils Daniel Forkert:
  Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling. CVII-STENT/LABELS@MICCAI 2018: 131-139
• 
  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. CVII-STENT/LABELS@MICCAI 2018: 82-91
• 
  Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung:
  An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images. CVII-STENT/LABELS@MICCAI 2018: 95-104
• 
  Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
  Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos. CVII-STENT/LABELS@MICCAI 2018: 169-179
• 
  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 [contents]