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ORCIDLABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: Shenzhen, China
- Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco
, Xiaobo Sharon Hu, Danny Ziyi Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen:
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11851, Springer 2019, ISBN 978-3-030-33641-7
4th International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2019)
- Daria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O'Neil:
Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT Scans. 3-12 - Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Lüthi, Thomas Vetter:
Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation. 13-21 - Bin Xie, Xiaoyu He, Shuang Zhao, Yi Li, Juan Su, Xinyu Zhao, Yehong Kuang, Yong Wang, Xiang Chen:
XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided Diagnosis. 22-31 - Tuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl:
Data Augmentation Based on Substituting Regional MRIs Volume Scores. 32-41 - Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly Supervised Segmentation from Extreme Points. 42-50 - Elisa Chotzoglou, Bernhard Kainz:
Exploring the Relationship Between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic Networks. 51-60 - Wenhui Lei, Huan Wang, Ran Gu, Shichuan Zhang, Shaoting Zhang, Guotai Wang:
DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNs. 61-69 - Nicholas Heller, Jack Rickman, Christopher Weight, Nikolaos Papanikolopoulos:
The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018. 70-77
First International Workshop on Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (HAL-MICCAI 2019)
- Fan Wang, Chunhua Deng, Bo Yuan, Chao Chen:
Hardware Acceleration of Persistent Homology Computation. 81-88 - Hongjia Li, Sheng Lin, Ning Liu, Caiwen Ding, Yanzhi Wang:
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. 89-97 - Jiahui Guan, Ravi Soni, Dibyajyoti Pati, Gopal Avinash, V. Ratna Saripalli:
D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression. 98-105 - Shuang Wen, Guojie Luo:
An Analytical Method of Automatic Alignment for Electron Tomography. 106-114 - MohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David:
U-Net Fixed-Point Quantization for Medical Image Segmentation. 115-124
Second International Challenge on Correction of Brainshift with Intra-Operative Ultrasound (CuRIOUS 2019)
- Luca Canalini, Jan Klein, Dorothea Miller, Ron Kikinis:
Registration of Ultrasound Volumes Based on Euclidean Distance Transform. 127-135 - David Drobny, Marta Ranzini, Sébastien Ourselin, Tom Vercauteren, Marc Modat:
Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data Set. 136-144 - In Young Ha, Mattias P. Heinrich:
Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided Interventions. 145-151
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