• 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 15 matches

• 2018
• 
  Blake E. Dewey, Can Zhao, Aaron Carass, Jiwon Oh, Peter A. Calabresi, Peter C. M. van Zijl, Jerry L. Prince:
  Deep Harmonization of Inconsistent MR Data for Consistent Volume Segmentation. SASHIMI@MICCAI 2018: 20-30
• 
  Yuta Hiasa, Yoshito Otake, Masaki Takao, Takumi Matsuoka, Kazuma Takashima, Aaron Carass, Jerry L. Prince, Nobuhiko Sugano, Yoshinobu Sato:
  Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN - Effects of Gradient Consistency Loss and Training Data Size. SASHIMI@MICCAI 2018: 31-41
• 
  Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang:
  Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. SASHIMI@MICCAI 2018: 100-110
• 
  Kerstin Kläser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sébastien Ourselin:
  Deep Boosted Regression for MR to CT Synthesis. SASHIMI@MICCAI 2018: 61-70
• 
  Raghav Mehta, Tal Arbel:
  RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours. SASHIMI@MICCAI 2018: 119-129
• 
  Saba Momeni, Amir Fazlollahi, Pierrick Bourgeat, Parnesh Raniga, Paul A. Yates, Nawaf Yassi, Patricia M. Desmond, Jurgen Fripp, Yongsheng Gao, Olivier Salvado:
  Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI. SASHIMI@MICCAI 2018: 12-19
• 
  Dário Augusto Borges Oliveira, Matheus Palhares Viana:
  Lung Nodule Synthesis Using CNN-Based Latent Data Representation. SASHIMI@MICCAI 2018: 111-118
• 
  Nathan Olliverre, Guang Yang, Gregory G. Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso:
  Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-linear and Deep Learning Models. SASHIMI@MICCAI 2018: 130-138
• 
  Igor Peterlík, David Svoboda, Vladimír Ulman, Dmitry V. Sorokin, Martin Maska:
  Model-Based Generation of Synthetic 3D Time-Lapse Sequences of Multiple Mutually Interacting Motile Cells with Filopodia. SASHIMI@MICCAI 2018: 71-79
• 
  Hoo-Chang Shin, Neil A. Tenenholtz, Jameson K. Rogers, Christopher G. Schwarz, Matthew L. Senjem, Jeffrey L. Gunter, Katherine P. Andriole, Mark Michalski:
  Medical Image Synthesis for Data Augmentation and Anonymization Using Generative Adversarial Networks. SASHIMI@MICCAI 2018: 1-11
• 
  Apoorva Sikka, Skand Vishwanath Peri, Deepti R. Bathula:
  MRI to FDG-PET: Cross-Modal Synthesis Using 3D U-Net for Multi-modal Alzheimer's Classification. SASHIMI@MICCAI 2018: 80-89
• 
  David Svoboda, Tereza Necasová, Lenka Tesarová, Pavel Simara:
  Tubular Network Formation Process Using 3D Cellular Potts Model. SASHIMI@MICCAI 2018: 90-99
• 
  Emmanuel Vallée, Wenchuan Wu, Francesca Galassi, Saâd Jbabdi, Stephen M. Smith:
  A Machine Learning Approach to Diffusion MRI Partial Volume Estimation. SASHIMI@MICCAI 2018: 42-51
• 
  Chengjia Wang, Gillian Macnaught, Giorgos Papanastasiou, Tom J. MacGillivray, David E. Newby:
  Unsupervised Learning for Cross-Domain Medical Image Synthesis Using Deformation Invariant Cycle Consistency Networks. SASHIMI@MICCAI 2018: 52-60
• 
  Ali Gooya, Orcun Goksel, Ipek Oguz, Ninon Burgos:
  Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11037, Springer 2018, ISBN 978-3-030-00535-1 [contents]