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 - researchr publication

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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, editors, 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. Volume 11851 of Lecture Notes in Computer Science, Springer, 2019. [doi]

Conference: miccai2019

Abstract is missing.

Comparison of Active Learning Strategies Applied to Lung Nodule Segmentation in CT ScansDaria Zotova, Aneta Lisowska, Owen Anderson, Vismantas Dilys, Alison O'Neil. 3-12 [doi]

Robust Registration of Statistical Shape Models for Unsupervised Pathology AnnotationDana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Lüthi, Thomas Vetter. 13-21 [doi]

XiangyaDerm: A Clinical Image Dataset of Asian Race for Skin Disease Aided DiagnosisBin Xie, Xiaoyu He, Shuang Zhao, Yi Li, Juan Su, Xinyu Zhao, Yehong Kuang, Yong Wang, Xiang Chen. 22-31 [doi]

Data Augmentation Based on Substituting Regional MRIs Volume ScoresTuo Leng, Qingyu Zhao, Chao Yang, Zhufu Lu, Ehsan Adeli, Kilian M. Pohl. 32-41 [doi]

Weakly Supervised Segmentation from Extreme PointsHolger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu. 42-50 [doi]

Exploring the Relationship Between Segmentation Uncertainty, Segmentation Performance and Inter-observer Variability with Probabilistic NetworksElisa Chotzoglou, Bernhard Kainz. 51-60 [doi]

DeepIGeoS-V2: Deep Interactive Segmentation of Multiple Organs from Head and Neck Images with Lightweight CNNsWenhui Lei, Huan Wang, Ran Gu, Shichuan Zhang, Shaoting Zhang, Guotai Wang. 61-69 [doi]

The Role of Publicly Available Data in MICCAI Papers from 2014 to 2018Nicholas Heller, Jack Rickman, Christopher Weight, Nikolaos Papanikolopoulos. 70-77 [doi]

Hardware Acceleration of Persistent Homology ComputationFan Wang, Chunhua Deng, Bo Yuan, Chao Chen. 81-88 [doi]

Deep Compressed Pneumonia Detection for Low-Power Embedded DevicesHongjia Li, Sheng Lin, Ning Liu 0007, Caiwen Ding, Yanzhi Wang. 89-97 [doi]

D3MC: A Reinforcement Learning Based Data-Driven Dyna Model CompressionJiahui Guan, Ravi Soni, Dibyajyoti Pati, Gopal Avinash, V. Ratna Saripalli. 98-105 [doi]

An Analytical Method of Automatic Alignment for Electron TomographyShuang Wen, Guojie Luo. 106-114 [doi]

U-Net Fixed-Point Quantization for Medical Image SegmentationMohammadHossein AskariHemmat, Sina Honari, Lucas Rouhier, Christian S. Perone, Julien Cohen-Adad, Yvon Savaria, Jean-Pierre David. 115-124 [doi]

Registration of Ultrasound Volumes Based on Euclidean Distance TransformLuca Canalini, Jan Klein 0001, Dorothea Miller, Ron Kikinis. 127-135 [doi]

Landmark-Based Evaluation of a Block-Matching Registration Framework on the RESECT Pre- and Intra-operative Brain Image Data SetDavid Drobny, Marta Ranzini, Sébastien Ourselin, Tom Vercauteren, Marc Modat. 136-144 [doi]

Comparing Deep Learning Strategies and Attention Mechanisms of Discrete Registration for Multimodal Image-Guided InterventionsIn Young Ha, Mattias P. Heinrich. 145-151 [doi]

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