Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

<p>Clinical Report Guided Multi-Sieving Deep Learning for Retinal Microaneurysm Detection<br> Ling Dai, Ruogu Fang, Huating Li, Xuhong Hou, Bin Sheng, Qiang Wu and Weiping Jia</p>

<p>Optic Disc and Cup Segmentation Based on Multi-label Deep Network for Fundus Glaucoma Screening<br> Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, and Jiang Liu</p>

<p>Thoracic Disease Identification and Localization with Limited Supervision<br> Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, and Fei-Fei Li</p>

<p>ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases<br> X Wang, Y Peng, L Lu, Z Lu, M Bagheri, and RM Summers</p>

TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays<br> Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, and Ronald Summers<p></p>

<p>Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database<br> Ke Yan, Xiaosong Wang,; Le Lu,&nbsp; Ling Zhang,&nbsp; Adam Harrison,&nbsp; HADI Bagheri,&nbsp; and Ronald Summers</p>

<p>Deep Reinforcement Learning based Attention to Detect Breast Lesions from DCE-MRI<br> Gabriel Maicas, Andrew Bradley, Jacinto Nascimento, Ian Reid, and Gustavo Carneiro</p>

<p>Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images<br> M. Sapkota, X. Shi, F. Xing, and L. Yang</p>

Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning<br> J. Cai, L. Lu, F. Xing, and L. Yang<p></p>

<p>Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation<br> Y. Xie, Z. Zhang, M. Sapkota, and L. Yang</p>

<p>Pancreas<br> Alan Yuille</p>

<p>Multi-Organ<br> Alan Yuille</p>

<p>Convolutional Invasion and Expansion Networks for Tumor Growth Prediction<br> Ling Zhang, Le Lu, Ronald Summers, Electron Kebebew, and Jianhua Yao</p>

<p>Cross-Modality Synthesis in Magnetic Resonance Imaging<br> Yawen Huang, Ling Shao,&nbsp; and Alejandro F. Frangi</p>

<p>Image Quality Assessment for Population Cardiac MRI<br> Le Zhang, Marco Pereañez,&nbsp;&nbsp;&nbsp; and Alejandro F. Frangi</p>

<p>Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss<br> Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K Kalra, Yi Zhang, Ling Sun, and Ge Wang</p>

<p>Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss<br> Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, and Pheng-Ann Heng</p>

<p>Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization<br> Dong Yang, Tao Xiong, and Daguang Xu</p>

<p>3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes<br> Siqi Liu and Daguang Xu</p>

<p>Multi-Agent Learning for Robust Image Registration<br> Shun Miao, Rui Liao, and Tommaso Mansi</p>

<p>Deep Learning in Magnetic Resonance Imaging of Cardiac Function<br> Dong Yang and Drimitri Metaxas</p>

<p>Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization<br> Dong Yang, Tao Xiong, and Daguang Xu</p>

<p>Deep Learning on Functional Connectivity of Brain: Are We There Yet?<br> Harish Ravi Prakash, Arjun Watane, Sachin Jambawalikar, and Ulas Bagci</p>