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ORCIDDeep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
- Le Lu, Xiaosong Wang
, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Advances in Computer Vision and Pattern Recognition, Springer 2019, ISBN 978-3-030-13968-1
Segmentation
- Jinzheng Cai, Le Lu, Fuyong Xing, Lin Yang:
Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning. 3-21 - Yuanpu Xie, Fujun Liu, Fuyong Xing, Lin Yang:
Deep Learning for Muscle Pathology Image Analysis. 23-41 - Yuyin Zhou, Qihang Yu, Yan Wang, Lingxi Xie, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans. 43-67 - Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. 69-91 - Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng:
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. 93-115
Detection and Localization
- Huazhu Fu, Jun Cheng, Yanwu Xu, Jiang Liu:
Glaucoma Detection Based on Deep Learning Network in Fundus Image. 119-137 - Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei:
Thoracic Disease Identification and Localization with Limited Supervision. 139-161 - Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid, Gustavo Carneiro:
Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI. 163-178 - Dong Yang, Tao Xiong, Daguang Xu:
Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization. 179-197 - Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Sasa Grbic, Weidong Cai, Dorin Comaniciu:
Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images. 199-216
Various Applications
- Xiaoshuang Shi, Lin Yang:
Deep Hashing and Its Application for Histopathology Image Analysis. 219-237 - Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao:
Tumor Growth Prediction Using Convolutional Networks. 239-260 - Yao Xiao, Skylar E. Stolte, Peng Liu, Yun Liang, Pina C. Sanelli, Ajay Gupta, Jana Ivanidze, Ruogu Fang:
Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration. 261-275 - Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Yi Zhang, Ling Sun, Ge Wang:
Generative Low-Dose CT Image Denoising. 277-297 - Le Zhang, Marco Pereañez, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Alejandro F. Frangi:
Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging. 299-321 - Shun Miao, Rui Liao:
Agent-Based Methods for Medical Image Registration. 323-345 - Harish RaviPrakash, Arjun Watane, Sachin Jambawalikar, Ulas Bagci:
Deep Learning for Functional Brain Connectivity: Are We There Yet? 347-365
Large-Scale Data Mining and Data Synthesis
- Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers:
ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases. 369-392 - Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers:
Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs. 393-412 - Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers:
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. 413-435 - Yawen Huang, Ling Shao, Alejandro F. Frangi:
Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging. 437-457
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