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ORCID4th ISICDM 2020: Shenyang, China
- ISICDM 2020: The Fourth International Symposium on Image Computing and Digital Medicine, Shenyang, China, December 5-7, 2020. ACM 2020, ISBN 978-1-4503-8968-6
Chapter 1 - CT Image Reconstruction
- Wenjun Tan:
A Pulmonary Artery-Vein Separation algorithm based on the relationship between sub-trees. 1-4 - Yang Li, Jiayu Duan, Shaohua Zhi, Jianmei Cai, Xuanqin Mou:
Multi-energy CT image restoration algorithm based on the flat-panel X-ray source. 5-9 - Zefang Sun, Dongjiang Ji, Shidi Yang:
Anisotropic total variation minimization approach in in-line phase-contrast tomographyT. 10-13
Chapter 2 - Application of Machine Learning
- Shan Zhang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao:
An Auto-Encoding Generative Adversarial Networks for Generating Brain Network. 14-18 - Sun Fuhai, Xiaoying Tang:
Multi-modal MRI synthesization based on StarGAN. 19-22 - Xiaoli Liu, Jiali Li, Peng Cao:
SP-MTFL: A self paced multi-task feature learning method for cognitive performance predicting of Alzheimer's disease. 23-27 - Tao Sun, Roger Fulton:
A Bayesian approach for CT perfusion parameters estimation. 28-31 - Xiaoli Liu, Jiali Li, Peng Cao:
Modeling Disease Progression with Deep Neural Networks. 32-34 - Kecheng Chen, Jiaxin Huang
, Jiayu Sun, Yazhou Ren, Xiaorong Pu:
Task-Driven Deep Learning for LDCT Image Denoising. 35-39 - Hao Xu, Chen Li, Jinghua Zhang, Zihan Li, Changhao Sun, Xin Zhao:
Microscopic Image Augmentation Using an Enhanced WGAN. 40-45 - Xiaoli Liu, Jiali Li, Peng Cao:
S-GCN: A siamese spectral graph convolutions on brain connectivity networks. 46-48
Chapter 3 - 3D Visualization
- Dongwei Wang, Hao Yin, Paul Liu, Dong C. Liu:
Flexible Probe Assisted Control System for 3D ultrasound reconstruction. 49-52
Chapter 4 - Bioinformatics
- Zihan Li, Chen Li, Jinghua Zhang, Hao Xu, Huaqian Yuan, Xuemin Zhu, Bolin Lu:
A New Microorganism Dataset for Image Segmentation and Classification Evaluation. 53-58 - Weidong Xie, Linjie Wang, Kun Yu, Wei Li:
A Machine Learning Approach to Biomarker Screening on Proteomics Data of Cleft Lip and Palate. 59-63
Chapter 5 - Digital Pathology
- Shiliang Ai, Chen Li, Xintong Li, Changhao Sun, Xiaomin Zhou, Hong Li, Qian Wang, Xiaoyan Li:
A State-of-the-art Review for Gastric Histopathology Feature Extraction Methods. 64-68 - Xintong Li, Chen Li, Xiaoqi Li, Jian Wu, Xiaoyan Li:
A Brief Review of Computer-aided Whole-slide Image Detection Techniques. 69-74 - Changhao Sun, Chen Li, Hao Xu, Jinghua Zhang, Shiliang Ai, Xiaomin Zhou, Xiaoyan Li:
A Comparison of Segmentation Methods in Gastric Histopathology Images. 75-79
Chapter 6 - Medical Image Segmentation
- Benxiang Jiang, Jinjing Hu, Ji Li, Yizhuo Wang, Yue Zhang, Hongjian Shi, Xiaoying Tang, Chunming Li:
Dental pulp segmentation from cone-beam computed tomography images. 80-85 - Bo Wu, Peng Cao, Jinzhu Yang, Qi Yang, Chengxi Yan, Wenxin Wang, Minglei Yang, Lili Dou:
Deeply Supervised U-Net with Feature Fusion: Automatic COVID-19 Lung Infection Segmentation from CT Images. 86-90 - Yue Zhang, Jiaming Qiu, Dabin Jie, Jiong Wu, Terry Tao Ye, Xiaoying Tang:
Coarse-to-fine Kidney Segmentation Incorporating Abnormality Detection and Correction. 91-94 - Hualin Yang, Shuxu Guo, Kan He, Jinzhu Yang, Yu Guo, Yunhai Qiu, Huimao Zhang, Xueyan Li:
Computed Tomography for Preoperative Colorectal Staging Prediction Based on Deep Multi-task Learning: Colorectal Staging Prediction Based on Deep Multi-task Learning. 95-98 - Ji Li, Haiping Xu, Chencheng Huang:
A Modified Multiplicative Intrinsic Component and Local Intensity Inhomogeneity for Brain Image Segmentation. 99-103 - Junyi Yan, Jinzhu Yang, Wenjun Tan, Peng Cao, Lili Dou, Dazhe Zhao:
An atlas based level set method for 3D brain structures segmentation. 104-107 - Junyan Lyu, Jiaming Qiu, Lijie Deng, Yue Zhang, Terry Tao Ye, Xiaoying Tang:
Transfer Learning for Automatic Cornea Segmentation based on Ocular Staining Images. 108-111 - Meihan Fu, Ying Hu, Jinzhu Yang:
Liver vessel segmentation based on densely connected three-dimensional fully convolutional neural network. 112-116 - Shuaizheng Chen, Dongxiu Li, Chaolu Feng:
Cardiac segmentation using multi-atlas coarse-refine registration. 117-120 - Ming Yang, Yun He, Xue Shi, Zhong-Ping Chen, Dan Tong, Chunming Li:
A multiphase level set method for stroke lesion segmentation. 121-125
Chapter 7 - Medical Image Analysis
- Zhonghua Wang, Yijin Huang, Junyan Lyu, Pujin Cheng, Xiaoying Tang:
Deep Learning Based Discrimination of Corneal Ulcer Patterns Using Fluorescein Staining Images. 126-129 - Zeyang Tao, Yudan Ren, Wei Zhang, Tianming Liu:
Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search. 130-134 - Liyuan Li, Rong Li, Fei Shen:
Impaired Capacity to Process Cross-modal Emotional Information between Facial and Auditory Channels in Major Depression Disorders. 135-140 - Xiaoying Tang, Yijin Huang, Li Lin, Meng Li, Jin Yuan:
Automated Diabetic Retinopathy Identification via Lesion Guided Network. 141-144 - Jiao Li, Bing Li, Yao Meng, Siqi Yang, Huafu Chen, Wei Liao:
Differences of aberrant dynamic functional connectivity between depressed patients with and without suicidal ideation. 145-150 - Guodong Zhang, Zhaoxuan Gong, Rui Xu, Wei Guo, Dazhe Zhao, Wenjun Tan, Wei Zhou:
Automatic hippocampus segmentation based on convolutional neural networks and level set model. 151-155 - Yafang Chen, Peng Cao, Lili Dou, Jinzhu Yang:
An end-to-end framework for pulmonary nodule detection and false positive reduction from CT Images. 156-162 - Changchun He, Xujun Duan, Xinyue Huang, Jinming Xiao, Xiaolong Shan, Huafu Chen:
Dynamic alterations of amplitude of low-frequency fluctuations in adolescents with autism spectrum disorder. 163-167 - Chunyu Jiang, Peng Cao, Lili Dou, Jinzhu Yang, Dazhe Zhao:
GCN-RNN: An Unified Framework for Modeling the multi-label diagnosis of chest X-ray disease. 168-172 - Xueying Wang, Xiaoya Liu, Yue Zhang, Qiongyu Guo, Xiaoying Tang:
A Deep Learning Pipeline Incorporating Level Set for Vascular Segmentation and Topological Analysis. 173-176 - Mengqun Jin, Delong Zhang, Peng Cao:
AMIL: An attentional multi-instance learning for computer-aided diagnosis of skin diagnosis. 177-181 - Qiang Cai, Hao Yin, Dong Liu, Paul Liu:
Using Learnt Nakagami parametric mapping to classify fatty liver in rabbits. 182-186 - Xingfei Xu, Gen Li, Xiaoshuo Li, Pan Liu, Wenjun Tan:
Segmentation of Lung Parenchyma Based on FPN++Mask R-CNN Model. 187-191 - Yuyan Chen, Qian Cui, Qin Tang, Wei Sheng, Yang Yang, Huafu Chen:
Amygdala-Based Structural Covariance and Functional Connectivity Alterations in Patients with Generalized Anxiety Disorder. 192-196 - Mingxu Huang, Chaolu Feng, Dazhe Zhao:
An Improved Method of Blood Vessel Enhancement Based on Hessian Matrix. 197-200 - Jiayu Duan, Jianmei Cai, Shaohua Zhi, Xuanqin Mou:
Blind CT Image Quality Assessment Model Based on CT Image Statistics. 201-205 - Xialin Li, Chen Li, Wenwei Zhao, Yuzhuo Gu, Jindong Li, Peng Xu:
Comparison of Visual Feature Extraction Methods of Sperms in Semen Microscopic Videos. 206-212 - Xunan Huang, Guang Jia, Bo Zhang, Michael V. Knopp, Zarine K. Shah:
Automatic segmentation of prostate cancer based on fusion multi-parameter MRI images. 213-218 - Wenwei Zhao, Shoujia Zou, Chen Li, Jindong Li, Jiawei Zhang, Pingli Ma, Yuzhuo Gu, Peng Xu, Xiaoning Bu:
A Survey of Sperm Detection Techniques in Microscopic Videos. 219-224
Chapter 8 - Medical Image Registration
- Guodong Zhang, Wei Guo, Lingyu Kong, Zhaoxuan Gong, Dazhe Zhao, Chong He, Cui Guo:
Unsupervised learning-based registration for T1 and T2 breast MRI images. 225-228 - Zhaoxuan Gong, Zhi Liu, Wei Guo, Dazhe Zhao, Chong He, Yu Liu, Guodong Zhang:
Deep learning of deformable registration for breast DCE-MRI images. 229-234
Chapter 9 - Radiomics
- Siqi Xu, Qian Zhao, Liu Li, Nan Li, Wenjun Tan:
The Effect of The Number of Sensor Coils on Sensitivity in Electromagnetic Tomography. 235-239
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