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ORCID1st MMMI@MICCAI 2019: Shenzhen, China
- Quanzheng Li
, Richard M. Leahy, Bin Dong, Xiang Li:
Multiscale Multimodal Medical Imaging - First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11977, Springer 2020, ISBN 978-3-030-37968-1 - Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu:
Multi-modal Image Prediction via Spatial Hybrid U-Net. 1-9 - Hongli Xu, Binhua Wang, Wanguo Xue, Yao Zhang, Cheng Zhong, Yongliang Chen, Jianfeng Leng:
Automatic Segmentation of Liver CT Image Based on Dense Pyramid Network. 10-16 - Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng:
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. 17-25 - Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu:
Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. 26-34 - Hongfeng Li, Jian Zhao, Li Zhang, Jie Zhao, Li Yang, Quanzheng Li:
Feature Pyramid Based Attention for Cervical Image Classification. 35-42 - Junyi Tong, Yunmei Chen, Huafeng Liu:
Single-Scan Dual-Tracer Separation Network Based on Pre-trained GRU. 43-50 - Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang:
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation. 51-58 - Meng Li, Jie Zhao, Yan Zhang, Danmei He, Jinqiong Zhou, Jia Jia, Haicheng She, Quanzheng Li, Li Zhang:
Automated Classification of Arterioles and Venules for Retina Fundus Images Using Dual Deeply-Supervised Network. 59-67 - Supriti Mulay, G. Deepika, S. Jeevakala, Keerthi Ram, Mohanasankar Sivaprakasam:
Liver Segmentation from Multimodal Images Using HED-Mask R-CNN. 68-75 - Yini Pan, Hongfeng Li, Lili Liu, Quanzheng Li, Xinlin Hou, Bin Dong:
aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection. 76-84 - Danlei Feng, Weichen Wu, Hongfeng Li, Quanzheng Li:
Speckle Noise Removal in Ultrasound Images Using a Deep Convolutional Neural Network and a Specially Designed Loss Function. 85-92 - Shan Lin, Fangbo Qin, Randall A. Bly, Kris S. Moe, Blake Hannaford:
Automatic Sinus Surgery Skill Assessment Based on Instrument Segmentation and Tracking in Endoscopic Video. 93-100 - Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang, Guang-Zhong Yang:
U-Net Training with Instance-Layer Normalization. 101-108
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