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ORCID3rd ISICDM 2019: Xi'an, China
- Proceedings of the Third International Symposium on Image Computing and Digital Medicine, ISICDM 2019, Xi'an, China, August 24-26, 2019. ACM 2019, ISBN 978-1-4503-7262-6
- Dongjie Wang, Kun Yu
, Chaolu Feng, Dazhe Zhao, Xin Min, Wei Li:
Graph Cuts and Shape Constraint Based Automatic Femoral Head Segmentation in CT Images. 1-6 - Chunlei Yang, Jinlong Kang, Xiaoting Xue, Yang Zhou, Hui Wang, Zhaoxing Wan, Tongsheng Su, Fei Xie, Pengfei Xu:
Automatic Degree Evaluation of Facial Nerve Paralysis Based on Triple-stream Long Short Term Memory. 7-11 - Junchi Lu, Chaolu Feng, Wei Li, Dazhe Zhao:
ROI Localization and Initialization Method for Left Ventricle Segmentation. 12-16 - Lihong Chang, Xiaoping Li, Wanshun Lu:
A Hybrid Fusion Method Based on Image Decomposition and Low Rank Representation. 17-21 - Bin Chen, Jiajun Wang, Zheru Chi:
Improved DenseNet with Convolutional Attention Module for Brain Tumor Segmentation. 22-26 - Zhaoxuan Gong, Zhenyu Zhu, Guodong Zhang, Dazhe Zhao, Wei Guo:
Convolutional Neural Networks Based Level Set Framework for Pancreas Segmentation from CT Images. 27-30 - Lei Wang, Ying Huang, Bing Lin, Wencan Wu, Hao Chen, Jiantao Pu:
Automatic Classification of Exudates in Color Fundus Images Using an Augmented Deep Learning Procedure. 31-35 - Tiange Liu, Pengfei Xu, Yuchang Bo:
Body Composition Segmentation Based on Dual-pathway Deep Dilated Convolutional Neural Network. 36-42 - Yihua Song, Chen Ge, Ji Ye, Zuojian Zhou:
Coronary Ascending Aorta Segmentation in CTA Images Using SegNet Method. 43-47 - Wei Li, Wenping Zhou, Kun Yu, Chaolu Feng, Haixu Wang, Dazhe Zhao:
R4: A Client Server Architecture Oriented Open Three Dimensional Reconstruction Layered Reference Model for Medical Images. 48-54 - Jiayu Duan, Jianmei Cai, Xuanqin Mou:
Region-Based Automatic Regularization Parameter Tuning in CT Reconstruction. 55-58 - Zheng Fang, Shuo Zhong, Renbin Wang, Liquan Ding, Siyuan Chen:
Non-reference Evaluation of Hyperspectral X-CT Images Based on CdTe Photon Counting Detector. 59-63 - Jingwei Xi, Pengwei Teng, Jiajun Wang:
Multi-retinal Images Stitching Based on the Maximum Fusion and Correction Ratio of Gray Average. 64-70 - Kun Qian, Hiroyuki Kuromiya, Zhao Ren, Maximilian Schmitt, Zixing Zhang, Toru Nakamura, Kazuhiro Yoshiuchi, Björn W. Schuller, Yoshiharu Yamamoto:
Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach. 71-75 - Yu Yang, Min Li, Yao Zhang:
Saliency Detection Based on Non-convex Weighted Surrogates. 76-81 - Bin Xie, Yu Han, Chen Xu:
A New Smoothing Based Image Recolorization Method. 82-87 - Pinyuan Zhong, Jiong Wu, Zhe Yuan, Yue Zhang, Xiaoying Tang:
3D Fully Convolutional Network Incorporating Savitzky-Golay Filtering for Prostate Segmentation. 88-91 - Xunan Huang, Bo Liu, Jiaxue Hao, Huyen Nguyen, Michael V. Knopp, Qiguang Miao, Guang Jia:
Automatic Segmentation of Prostate Structures Using a Convolutional Neural Network from Multiparametric MRI. 92-96 - Chengyang Wu, Pu Zhang, Yan Xu, Jingwu Yao:
Fluoroscopic Image Denoising with Feature Preserving Residual Noise Learning. 97-101 - Chen Li, Dan Xue, X. Zhou, Jinpeng Zhang, H. Zhang, Yudong Yao, Fanjie Kong, Le Zhang, Hongzan Sun:
Transfer Learning Based Classification of Cervical Cancer Immunohistochemistry Images. 102-106 - Shuzhen Zhao, Hongwei Xie, Yan Qiang, Hao Zhang:
An Adaptive Device-Aware Model Optimization Framework. 107-112 - Jia Fan, Xue-Cheng Tai:
Regularized UNet for Automated Pancreas Segmentation. 113-117 - Haoran Zhang, Xuehao Cao, Lisheng Xu, Lin Qi:
Conditional Convolution Generative Adversarial Network for Bi-ventricle Segmentation in Cardiac MR Images. 118-122 - Yunyun Yang, Yunna Yang:
Accurate and Robust Active Contour Model for Medical Image Segmentation and Correction. 123-127 - Zejian Chen, Wufeng Xue, Tianfu Wang, Dong Ni:
Cardiac Motion Scoring Based on CNN with Attention Mechanism. 128-132 - Shuxu Zhao, Changrong Liu, Qing Luo:
Dental Data Analysis Based on Dental X-ray Panorama. 133-137 - Xue Li, Enhui Li, Weiwei Zhang:
Quantifying Auricular Cartilage in Vivo Using Ultra-Short Echo Time (UTE) T2* Mapping. 138-142 - He Wang, Weiwei Zhang:
ScaDO Net: Scaffold-Dense-Octave Net for Brain Structure Segmentation. 143-151 - Yongjun Qi, Junhua Gu, Juanping Geng, Zepei Tian, Yingru Su, Yajuan Zhang:
Pulmonary Nodules Image Retrieval via Supervised Deep Hashing. 152-156 - Pu Zhang, Chengyang Wu, Yan Xu, Jingwu Yao:
Hybrid 3D/2D-Based Deep Convolutional Neural Network for Spatio-Temporal Denoising of Angiography. 157-160 - Mengfei Li, Ying Xu, Hongwei Li:
Modified Edge-Weighted Centroidal Voronoi Tessellation for Image Segmentation. 161-165 - Haiying Xia, Fuyu Zhu:
Expanded Mask R-CNN's Retinal Edema Detection Network. 166-170 - Benxiang Jiang, Yue Zhang, Xiaoying Tang, Hongjian Shi:
Region Growing Model with Edge Restrictions for Multiple Roots Tooth Segmentation. 171-174 - Yongguo Zheng, Kaijia Liu, Ming Chen, Jianwei Li, Guozhen Zha:
A Method on Detection and Location of the Ablation Needle in CT Images. 175-181 - Xiaojuan Deng, Xuehong Liu, Hongwei Li:
Limited-angle CT Reconstruction with ℓp Regularization. 182-186 - Langkuan Qin, Hao Yin, Hua Zhuang, Yuan Luo, Paul Liu, Dong C. Liu:
Classification for Rectal CEUS Images Based on Combining Features by Transfer Learning. 187-191 - Miao Li, Xiujuan Zheng, Kai Liu:
Application of Distance Regularized Chan-Vese Method for Kidney Segmentation in Renal Scintigraphy. 192-196 - Bu Xu, Lisheng Xu, Ying Kang, Along Song, Bin Wang, Lu Wang, Benqiang Yang:
Coronary Artery Motion Tracking Using Landmark Guided Point Set Registration. 197-201 - Alexa Singer, Chencheng Zhang, Tao Wang, Suhao Qiu, Dianyou Li, Yiping P. Du, Zhi-Pei Liang, Pawel Andrzej Herman, Bomin Sun, Yuan Feng:
Post-Operative Electrode Placement Prediction in Deep Brain Stimulation Using Support Vector Regression. 202-207 - Taohui Xiao, Wenqing Hua, Cheng Li, Shanshan Wang:
Glioma Grading Prediction by Exploring Radiomics and Deep Learning Features. 208-213 - Di Lu, Xi Zhang, Xiaopan Xu, Xiaowei He, Yang Liu:
The Prognosis Prediction of GBM Based on High-risk Subregion and Multi-parametric MR Imaging. 214-217 - Simao Wang, Yue Zhang, Xiaoying Tang:
Fully Automatic Diameter Measurement Method Based on Retinal Vessel Segmentation. 218-221 - Yunyun Yang, Chong Feng, Ruofan Wang:
An Automatic Image Segmentation Model Integrating Fuzzy Clustering with Level Set Method. 222-225 - Hongrong Wei, Wufeng Xue, Dong Ni:
Left Ventricle Segmentation and Quantification with Attention-Enhanced Segmentation and Shape Correction. 226-230 - Baoxin Zhang, Li Lu, Jiaqi Hou:
A Comparison of Logistic Regression, Random Forest Models in Predicting the Risk of Diabetes. 231-234 - Shaohua Zhi, Shaojie Chang, Xuanqin Mou:
A Projection Match Based Motion Compensated Algorithm in 4DCBCT. 235-238 - Qian Yang, Huiqin Jiang, Ling Ma, Xiaozhen Du, Jianbo Gao:
A Pulmonary Nodule Detection Algorithm Based on Low Dose CT Images. 239-243 - Haiyan Zheng, Yufei Chen, Xiaodong Yue, Chao Ma:
Deep Interactive Segmentation of Uncertain Regions with Shadowed Sets. 244-248 - Linlin Liu, Bin Zhang, Hongkai Wang:
Organ Localization in PET/CT Images using Hierarchical Conditional Faster R-CNN Method. 249-253 - Yinghui Zhang, Ke Wang, Xiaojuan Deng, Hongwei Li:
Multiscale Morphological Tone Mapping Operator for High Dynamic Range Images. 254-258 - Xiaopan Xu, Peng Du, Yang Liu, Xi Zhang, Jing Yuan, Hongbing Lu:
Bladder MR Image Segmentation by Convex Global Optimization of Coupled Borders. 259-262 - Hanqiang Liu, Anqi Pi, Vipin Chaudhary:
Broad Learning-based Intervertebral Discs Localization and Segmentation. 263-268 - Jing Liu, Pengyu Yin, Xiaohui Wang, Wei Yang, Kun Cheng:
Glioma Subregions Segmentation with a Discriminative Adversarial Regularized 3D Unet. 269-273 - Dongjun Ye, Bin Zhou, Bi-Ying Zhong, Wei Wei, Xue-Mei Duan:
POCS-Based Super-Resolution Image Reconstruction Using Local Gradient Constraint. 274-277 - Yanhao Ren, Qiang Luo, Weikang Gong, Wenlian Lu:
Transfer Learning Models on Brain Age Prediction. 278-282 - Meixiang Huang, Chongfei Huang, Jing Yuan, Dexing Kong:
Fixed-Point Deformable U-Net for Pancreas CT Segmentation. 283-287 - Shousheng Luo, Ruyue Meng, Suhua Wei, Jian-Feng Cai, Xue-Cheng Tai, Yang Wang:
Data-driven Method for 3D Axis-symmetric Object Reconstruction from Single Cone-beam Projection Data. 288-292 - Yu Shi, Fanzhen Meng, Ye Mao, Chenfeng Li, Shouping Zhu:
Combination Strategy of Deep Learning and Direct Back Projection for High-efficiency Computed Tomography Reconstruction. 293-297 - Shaojie Tang, Zhiwei Qiao, Xiangyang Tang:
Z-range Extension of Volume Imaged with Clinical C-arm Computed Tomography from A Single Rotation Helical Cone-beam Scan. 298-302 - Shousheng Luo, Keke Kang, Yang Wang, Xue-Cheng Tai:
Low-dose X-ray Computed Tomography Image Reconstruction Using Edge Sparsity Regularization. 303-307 - Benyuan Liu, Xiuzhen Dong, Feng Fu, Xuetao Shi, Zhenxiao Jin, Weixun Duan, Kai Ren, Shiqiang Yu:
Non-invasive Imaging the Relative Changes in Cerebral Blood Volume during Total Aortic-arch Replacement Using Electrical Impedance Tomography: a First Study. 308-313 - Xueying Chen, Liang Sun, Bin Wang:
A Level Set Method with Dynamic Prior for Cell Image Segmentation. 314-318 - Chao Liao, Chengliang Wang, Jianying Bai:
Robust Prototypical Networks for Small-Intestine Polyp Recognition in Wireless Capsule Endoscopy Images. 319-323 - Chunyu Yang, Weiwei Wang, Xiangchu Feng:
Group Discriminative Least Square Regression. 324-329 - Wei Guo, AdevianFairuz Pratama, Zhaoxuan Gong, Wei Zhou, Dazhe Zhao, Guodong Zhang:
Effective Representation of Three-Dimension Nodules for False-Positive Reduction in Pulmonary Nodule Detection. 330-334 - Jie Yang, Zhicheng Zhang, Yanchun Zhu, Yaoqin Xie:
An Accurate Estimation of T2* Mapping for Fast Magnetic Resonance Imaging. 335-342 - Qian Wang, Weiwei Wang, Xiangchu Feng:
Subspace Clustering by Relaxed Block Diagonal Representation. 343-348 - Xiaozhi Ma, Dongdong Xie, Jing Fang, Shu Zhan:
Segmentation of Prostate Peripheral Zone based on Multi-scale Features Enhancement. 349-353 - Yao Yao, Shuiping Gou, Miao Wang:
Segmentation of Venous Vessel in MRI using Transferred Convolutional Neural Network. 354-360
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