Paperback : HK$700.00
Dr. Le Lu is the Director of Ping An Technology US Research Labs, and an adjunct faculty member at Johns Hopkins University, USA.
Dr. Xiaosong Wang is a Senior Applied Research Scientist at Nvidia Corp., USA.
Dr. Gustavo Carneiro is an Associate Professor at the University of Adelaide, Australia.
Dr. Lin Yang is an Associate Professor at the University of Florida, USA.
Clinical Report Guided Multi-Sieving Deep Learning for Retinal Microaneurysm Detection Ling Dai, Ruogu Fang, Huating Li, Xuhong Hou, Bin Sheng, Qiang Wu and Weiping Jia
Optic Disc and Cup Segmentation Based on Multi-label Deep Network for Fundus Glaucoma Screening Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, and Jiang Liu
Thoracic Disease Identification and Localization with Limited Supervision Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, and Fei-Fei Li
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases X Wang, Y Peng, L Lu, Z Lu, M Bagheri, and RM Summers
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database Ke Yan, Xiaosong Wang,; Le Lu, Ling Zhang, Adam Harrison, HADI Bagheri, and Ronald Summers
Deep Reinforcement Learning based Attention to Detect Breast Lesions from DCE-MRI Gabriel Maicas, Andrew Bradley, Jacinto Nascimento, Ian Reid, and Gustavo Carneiro
Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images M. Sapkota, X. Shi, F. Xing, and L. Yang
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation Y. Xie, Z. Zhang, M. Sapkota, and L. Yang
Pancreas Alan Yuille
Multi-Organ Alan Yuille
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction Ling Zhang, Le Lu, Ronald Summers, Electron Kebebew, and Jianhua Yao
Cross-Modality Synthesis in Magnetic Resonance Imaging Yawen Huang, Ling Shao, and Alejandro F. Frangi
Image Quality Assessment for Population Cardiac MRI Le Zhang, Marco Pereañez, and Alejandro F. Frangi
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K Kalra, Yi Zhang, Ling Sun, and Ge Wang
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, and Pheng-Ann Heng
Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization Dong Yang, Tao Xiong, and Daguang Xu
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes Siqi Liu and Daguang Xu
Multi-Agent Learning for Robust Image Registration Shun Miao, Rui Liao, and Tommaso Mansi
Deep Learning in Magnetic Resonance Imaging of Cardiac Function Dong Yang and Drimitri Metaxas
Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization Dong Yang, Tao Xiong, and Daguang Xu
Deep Learning on Functional Connectivity of Brain: Are We There Yet? Harish Ravi Prakash, Arjun Watane, Sachin Jambawalikar, and Ulas Bagci
Show more
Dr. Le Lu is the Director of Ping An Technology US Research Labs, and an adjunct faculty member at Johns Hopkins University, USA.
Dr. Xiaosong Wang is a Senior Applied Research Scientist at Nvidia Corp., USA.
Dr. Gustavo Carneiro is an Associate Professor at the University of Adelaide, Australia.
Dr. Lin Yang is an Associate Professor at the University of Florida, USA.
Clinical Report Guided Multi-Sieving Deep Learning for Retinal Microaneurysm Detection Ling Dai, Ruogu Fang, Huating Li, Xuhong Hou, Bin Sheng, Qiang Wu and Weiping Jia
Optic Disc and Cup Segmentation Based on Multi-label Deep Network for Fundus Glaucoma Screening Huazhu Fu, Jun Cheng, Yanwu Xu, Damon Wing Kee Wong, and Jiang Liu
Thoracic Disease Identification and Localization with Limited Supervision Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, and Fei-Fei Li
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases X Wang, Y Peng, L Lu, Z Lu, M Bagheri, and RM Summers
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database Ke Yan, Xiaosong Wang,; Le Lu, Ling Zhang, Adam Harrison, HADI Bagheri, and Ronald Summers
Deep Reinforcement Learning based Attention to Detect Breast Lesions from DCE-MRI Gabriel Maicas, Andrew Bradley, Jacinto Nascimento, Ian Reid, and Gustavo Carneiro
Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images M. Sapkota, X. Shi, F. Xing, and L. Yang
Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation Y. Xie, Z. Zhang, M. Sapkota, and L. Yang
Pancreas Alan Yuille
Multi-Organ Alan Yuille
Convolutional Invasion and Expansion Networks for Tumor Growth Prediction Ling Zhang, Le Lu, Ronald Summers, Electron Kebebew, and Jianhua Yao
Cross-Modality Synthesis in Magnetic Resonance Imaging Yawen Huang, Ling Shao, and Alejandro F. Frangi
Image Quality Assessment for Population Cardiac MRI Le Zhang, Marco Pereañez, and Alejandro F. Frangi
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K Kalra, Yi Zhang, Ling Sun, and Ge Wang
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, and Pheng-Ann Heng
Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization Dong Yang, Tao Xiong, and Daguang Xu
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes Siqi Liu and Daguang Xu
Multi-Agent Learning for Robust Image Registration Shun Miao, Rui Liao, and Tommaso Mansi
Deep Learning in Magnetic Resonance Imaging of Cardiac Function Dong Yang and Drimitri Metaxas
Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization Dong Yang, Tao Xiong, and Daguang Xu
Deep Learning on Functional Connectivity of Brain: Are We There Yet? Harish Ravi Prakash, Arjun Watane, Sachin Jambawalikar, and Ulas Bagci
Show moreChapter 1. Clinical Report Guided Multi-Sieving Deep Learning for Retinal Microaneurysm Detection.- Chapter 2. Optic Disc and Cup Segmentation Based on Multi-label Deep Network for Fundus Glaucoma Screening.- Chapter 3. Thoracic Disease Identification and Localization with Limited Supervision.- Chapter 4. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases.- Chapter 5. TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays.- Chapter 6. Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database.- Chapter 7. Deep Reinforcement Learning based Attention to Detect Breast Lesions from DCE-MRI.- Chapter 8. Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images.- Chapter 9. Pancreas Segmentation in CT and MRI Images via Domain Specific Network Designing and Recurrent Neural Contextual Learning.- Chapter 10. Spatial Clockwork Recurrent Neural Network for Muscle Perimysium Segmentation.- Chapter 11. Pancreas.- Chapter 12. Multi-Organ.- Chapter 13. Convolutional Invasion and Expansion Networks for Tumor Growth Prediction.- Chapter 14. Cross-Modality Synthesis in Magnetic Resonance Imaging.- Chapter 15. Image Quality Assessment for Population Cardiac MRI.- Chapter 16. Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss.- Chapter 17. Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss.- Chapter 18. Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.- Chapter 19. 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.- Chapter 20. Multi-Agent Learning for Robust Image Registration.- Chapter 21. Deep Learning in Magnetic Resonance Imaging of Cardiac Function.- Chapter 22. Automatic Vertebra Labeling in Large-Scale Medical Images using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.- Chapter 23. Deep Learning on Functional Connectivity of Brain: Are We There Yet?.
Dr. Le Lu is the Director of Ping An Technology US Research Labs, and an adjunct faculty member at Johns Hopkins University, USA.
Dr. Xiaosong Wang is a Senior Applied Research Scientist at Nvidia Corp., USA.
Dr. Gustavo Carneiro is an Associate Professor at the University of Adelaide, Australia.
Dr. Lin Yang is an Associate Professor at the University of Florida, USA.
|
Ask a Question About this Product More... |
|
