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ORCID1st MLMECH / 8th CVII-STENT @ MICCAI 2019: Shenzhen, China
- Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni
, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci:
Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11794, Springer 2019, ISBN 978-3-030-33326-3
Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health
- Chengbin Huang, Renjie Zhao, Weiting Chen, Huazheng Li:
Arrhythmia Classification with Attention-Based Res-BiLSTM-Net. 3-10 - Jinjing Zhu, Kaifa Xin, Qingqing Zhao, Yue Zhang:
A Multi-label Learning Method to Detect Arrhythmia Based on 12-Lead ECGs. 11-19 - Dongya Jia, Wei Zhao, Zhenqi Li, Cong Yan, Hongmei Wang, Jing Hu, Jiansheng Fang:
An Ensemble Neural Network for Multi-label Classification of Electrocardiogram. 20-27 - Ke Wang, Xuan Zhang, Haoxi Zhong, Ting Chen:
Automatic Diagnosis with 12-Lead ECG Signals. 28-35 - Binhang Yuan, Wenhui Xing:
Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks. 36-44 - Longting Chen, Guanghua Xu, Sicong Zhang, Jiachen Kuang, Long Hao:
Transfer Learning for Electrocardiogram Classification Under Small Dataset. 45-54 - Cheng-Si Luo, Hongxiu Jiang, Quanchi Li, Nini Rao:
Multi-label Classification of Abnormalities in 12-Lead ECG Using 1D CNN and LSTM. 55-63 - Guanghong Bin, Yongyue Sun, Jiao Huang, Guangyu Bin:
An Approach to Predict Multiple Cardiac Diseases. 64-71 - Chunli Wang, Shan Yang, Xun Tang, Bin Li:
A 12-Lead ECG Arrhythmia Classification Method Based on 1D Densely Connected CNN. 72-79 - Zhourui Xia, Zhenhua Sang, Yutong Guo, Weijie Ji, Chenguang Han, Yanlin Chen, Sifan Yang, Long Meng:
Automatic Multi-label Classification in 12-Lead ECGs Using Neural Networks and Characteristic Points. 80-87 - Yang Liu, Runnan He, Kuanquan Wang, Qince Li, Qiang Sun, Na Zhao, Henggui Zhang:
Automatic Detection of ECG Abnormalities by Using an Ensemble of Deep Residual Networks with Attention. 88-95 - Shelda Sajeev, Anthony J. Maeder, Stephanie Champion, Alline M. R. Beleigoli, Cheng Ton, Xianglong Kong, Minglei Shu:
Deep Learning to Improve Heart Disease Risk Prediction. 96-103 - Zijian Ding, Shan Qiu, Yutong Guo, Jianping Lin, Li Sun, Dapeng Fu, Zhen Yang, Chengquan Li, Yang Yu, Long Meng, Tingting Lv, Dan Li, Ping Zhang:
LabelECG: A Web-Based Tool for Distributed Electrocardiogram Annotation. 104-111 - Qiang Huo, Geyu Tang, Feng Zhang:
Particle Swarm Optimization for Great Enhancement in Semi-supervised Retinal Vessel Segmentation with Generative Adversarial Networks. 112-120 - Bowen Fan, Naoki Tomii, Hiroyuki Tsukihara, Eriko Maeda, Haruo Yamauchi, Kan Nawata, Asuka Hatano, Shu Takagi, Ichiro Sakuma, Minoru Ono:
Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans. 121-129 - Jinbao Dong, Shengfeng Liu, Tianfu Wang:
ARVBNet: Real-Time Detection of Anatomical Structures in Fetal Ultrasound Cardiac Four-Chamber Planes. 130-137
Proceedings of the Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting
- Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils D. Forkert:
The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - A Flow Phantom Study. 141-148 - Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Towards Quantifying Neurovascular Resilience. 149-157 - Christoph Angermann, Markus Haltmeier:
Random 2.5D U-net for Fully 3D Segmentation. 158-166 - Karen López-Linares, Maialen Stephens, Inmaculada García, Iván Macía, Miguel Ángel González Ballester, Raúl San José Estépar:
Abdominal Aortic Aneurysm Segmentation Using Convolutional Neural Networks Trained with Images Generated with a Synthetic Shape Model. 167-174 - Yihe Zhang, Xiuxiu Bai, Qinhua Jin, Jing Jing, Yundai Chen, Qiang Liu, Wenhui Tang, Quanmao Lu, Yanan Mi, Rui Zhu, Yihui Cao:
Tracking of Intracavitary Instrument Markers in Coronary Angiography Images. 175-183 - Shengnan Liu, Denis P. Shamonin, Guillaume Zahnd, Anton F. W. van der Steen, Theo van Walsum, Gijs van Soest:
Healthy Vessel Wall Detection Using U-Net in Optical Coherence Tomography. 184-192 - Ramtin Gharleghi, Heidi Wright, Somesh Khullar, Jinbo Liu, Tapabrata Ray, Susann Beier:
Advanced Multi-objective Design Analysis to Identify Ideal Stent Design. 193-200 - Li Chen, Gaoang Wang, Niranjan Balu, Mahmud Mossa-Basha, Xihai Zhao, Rui Li, Le He, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan:
Simultaneous Intracranial Artery Tracing and Segmentation from Magnetic Resonance Angiography by Joint Optimization from Multiplanar Reformation. 201-209
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