Cerebral Small Vessel Disease Biomarkers Detection on MRI-Sensor-Based Image and Deep Learning
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[1] Sameer Antani,et al. Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities , 2019, Diagnostics.
[2] Gözde B. Ünal,et al. Classification of brain tissues as lesion or healthy by 3D convolutional neural networks , 2017, 2017 25th Signal Processing and Communications Applications Conference (SIU).
[3] Hang Su,et al. Supermarket commodity identification using convolutional neural networks , 2016, 2016 2nd International Conference on Cloud Computing and Internet of Things (CCIOT).
[4] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[5] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] A. Jagan,et al. Analysis of MRI based brain tumor identification using segmentation technique , 2016, 2016 International Conference on Communication and Signal Processing (ICCSP).
[7] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Fabio Tozeto Ramos,et al. Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network , 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).
[9] Sheng Liu,et al. Towards Clinical Diagnosis: Automated Stroke Lesion Segmentation on Multi-Spectral MR Image Using Convolutional Neural Network , 2018, IEEE Access.
[10] L. Padma Suresh,et al. Tumor region extraction using edge detection method in brain MRI images , 2017, 2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT).
[11] Jing Zhang,et al. Extreme Weather Recognition Using a Novel Fine-Tuning Strategy and Optimized GoogLeNet , 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
[12] Vinayak Ray,et al. Image-based fuzzy c-means clustering and connected component labeling subsecond fast fully automatic complete cardiac cycle left ventricle segmentation in multi frame cardiac MRI images , 2016, 2016 International Conference on Systems in Medicine and Biology (ICSMB).
[13] Parag Kulkarni,et al. Adaptive Supervised Learning Model for Training Set Selection under Concept Drift Data Streams , 2013, 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies.
[14] Kemal Tuncali,et al. Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy , 2019, IEEE Transactions on Medical Imaging.
[15] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Huangjian Yi,et al. Semi-Supervised Cerebrovascular Segmentation by Hierarchical Convolutional Neural Network , 2018, IEEE Access.
[17] Jie Yang,et al. Brain MRI segmentation with patch-based CNN approach , 2016, 2016 35th Chinese Control Conference (CCC).
[18] Ronald M. Summers,et al. ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases , 2019, Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics.
[19] Liu Hongxin,et al. FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition , 2016 .
[20] H. Wilke,et al. The benefits of multi-disciplinary research on intervertebral disc degeneration , 2014, European Spine Journal.
[21] Vipula Singh,et al. Extraction and description of tumour region from the brain MRI image using segmentation techniques , 2016, 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT).
[22] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Pengfei Duan,et al. Enhancing AlexNet for Arabic Handwritten words Recognition Using Incremental Dropout , 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).
[24] Rob Fergus,et al. Visualizing and Understanding Convolutional Neural Networks , 2013 .
[25] Ali Farhadi,et al. YOLO9000: Better, Faster, Stronger , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Haibing Ren,et al. FDAR-Net: Joint Convolutional Neural Networks for Face Detection and Attribute Recognition , 2016, 2016 9th International Symposium on Computational Intelligence and Design (ISCID).
[27] Abhishek Das,et al. Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[28] Ali Farhadi,et al. YOLOv3: An Incremental Improvement , 2018, ArXiv.