• 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 20 matches

• 2021
• 
  Nadya Shusharina, Mattias P. Heinrich, Ruobing Huang:
  Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12587, Springer 2021, ISBN 978-3-030-71826-8 [contents]
• 2020
• 
  Huai Chen, Dahong Qian, Weiping Liu, Hui Li, Lisheng Wang:
  An Enhanced Coarse-to-Fine Framework for the Segmentation of Clinical Target Volume. MICCAI (Challenges) 2020: 34-39
• 
  Huai Chen, Shaoli Song, Xiuying Wang, Renzhen Wang, Deyu Meng, Lisheng Wang:
  LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images. MICCAI (Challenges) 2020: 116-121
• 
  Théo Estienne, Maria Vakalopoulou, Enzo Battistella, Alexandre Carré, Théophraste Henry, Marvin Lerousseau, Charlotte Robert, Nikos Paragios, Eric Deutsch:
  Deep Learning Based Registration Using Spatial Gradients and Noisy Segmentation Labels. MICCAI (Challenges) 2020: 87-93
• 
  Constance Fourcade, Mathieu Rubeaux, Diana Mateus:
  Using Elastix to Register Inhale/Exhale Intrasubject Thorax CT: A Unsupervised Baseline to the Task 2 of the Learn2Reg Challenge. MICCAI (Challenges) 2020: 100-105
• 
  Skylar S. Gay, Cenji Yu, Dong Joo Rhee, Carlos Sjogreen, Raymond P. Mumme, Callistus M. Nguyen, Tucker J. Netherton, Carlos E. Cárdenas S., Laurence E. Court:
  A Bi-directional, Multi-modality Framework for Segmentation of Brain Structures. MICCAI (Challenges) 2020: 49-57
• 
  Niklas Gunnarsson, Jens Sjölund, Thomas B. Schön:
  Learning a Deformable Registration Pyramid. MICCAI (Challenges) 2020: 80-86
• 
  Stephanie Häger, Stefan Heldmann, Alessa Hering, Sven Kuckertz, Annkristin Lange:
  Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge. MICCAI (Challenges) 2020: 74-79
• 
  Lasse Hansen, Mattias P. Heinrich:
  Discrete Unsupervised 3D Registration Methods for the Learn2Reg Challenge. MICCAI (Challenges) 2020: 68-73
• 
  Marco Langhans, Tobias Fechter, Dimos Baltas, Harald Binder, Thomas Bortfeld:
  Automatic Segmentation of Brain Structures for Treatment Planning Optimization and Target Volume Definition. MICCAI (Challenges) 2020: 40-48
• 
  Jintao Lu, Xi Ouyang, Tianjiao Liu, Dinggang Shen:
  Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization. MICCAI (Challenges) 2020: 135-144
• 
  Tony C. W. Mok, Albert C. S. Chung:
  Large Deformation Image Registration with Anatomy-Aware Laplacian Pyramid Networks. MICCAI (Challenges) 2020: 61-67
• 
  Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng:
  Ensembled ResUnet for Anatomical Brain Barriers Segmentation. MICCAI (Challenges) 2020: 27-33
• 
  Xueda Shen, Xi Ouyang, Tianjiao Liu, Dinggang Shen:
  Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images. MICCAI (Challenges) 2020: 145-154
• 
  Nadya Shusharina, Thomas Bortfeld, Carlos Cardenas, Brian De, Kevin Diao, Soleil Hernandez, Yufei Liu, Sean Maroongroge, Jonas Söderberg, Moaaz Soliman:
  Cross-Modality Brain Structures Image Segmentation for the Radiotherapy Target Definition and Plan Optimization. MICCAI (Challenges) 2020: 3-15
• 
  Zhe Tang, Jianqiang Ma:
  Coarse to Fine Ensemble Network for Thyroid Nodule Segmentation. MICCAI (Challenges) 2020: 122-128
• 
  Mingyu Wang, Chenglang Yuan, Dasheng Wu, Yinghou Zeng, Shaonan Zhong, Weibao Qiu:
  Automatic Segmentation and Classification of Thyroid Nodules in Ultrasound Images with Convolutional Neural Networks. MICCAI (Challenges) 2020: 109-115
• 
  Marek Wodzinski:
  Multi-step, Learning-Based, Semi-supervised Image Registration Algorithm. MICCAI (Challenges) 2020: 94-99
• 
  Yiwen Zhang, Haoran Lai, Wei Yang:
  Cascade UNet and CH-UNet for Thyroid Nodule Segmentation and Benign and Malignant Classification. MICCAI (Challenges) 2020: 129-134
• 
  Xiaoyang Zou, Qi Dou:
  Domain Knowledge Driven Multi-modal Segmentation of Anatomical Brain Barriers to Cancer Spread. MICCAI (Challenges) 2020: 16-26