Deep Learning Applications in Medical Imaging: Artificial Intelligence, Machine Learning, and Deep Learning
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[1] Richard J Holden,et al. The patient work system: an analysis of self-care performance barriers among elderly heart failure patients and their informal caregivers. , 2015, Applied ergonomics.
[2] N. Forghani,et al. MRI fuzzy segmentation of brain tissue using IFCM algorithm with particle swarm optimization , 2007, 2007 22nd international symposium on computer and information sciences.
[3] Matteo Masotti,et al. A ranklet-based image representation for mass classification in digital mammograms. , 2006, Medical physics.
[4] Essam Al-Daoud. Cancer Diagnosis Using Modified Fuzzy Network , 2010 .
[5] Zachary A. Lamport,et al. A simple and robust approach to reducing contact resistance in organic transistors , 2018, Nature Communications.
[6] Jenna Burrell,et al. How the machine ‘thinks’: Understanding opacity in machine learning algorithms , 2016 .
[7] Vince D. Calhoun,et al. Deep learning for neuroimaging: a validation study , 2013, Front. Neurosci..
[8] Su-In Lee,et al. A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia , 2018, Nature Communications.
[9] John N. Lygouras,et al. Neuro-fuzzy Classification System for Wireless-Capsule Endoscopic Images , 2008 .
[10] Jaron J. R. Chong,et al. Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology , 2018, Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes.
[11] Koenraad Van Leemput,et al. Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape , 2015, Brainles@MICCAI.
[12] Daniel S. Margulies,et al. Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping , 2014, Front. Neurosci..
[13] Haeng-Kon Kim,et al. A Medical Decision Support System (DSS) for Ubiquitous Healthcare Diagnosis System , 2014 .
[14] Rui Liao,et al. Dilated FCN for Multi-Agent 2D/3D Medical Image Registration , 2017, AAAI.
[15] Anselmo Cardoso de Paiva,et al. Detection of Breast Masses in Mammogram Images Using Growing Neural Gas Algorithm and Ripley’s K Function , 2009, J. Signal Process. Syst..
[16] Dinggang Shen,et al. Deep Learning-Based Feature Representation for AD/MCI Classification , 2013, MICCAI.
[17] A. Asano,et al. A computer-aided diagnosis system to screen for osteoporosis using dental panoramic radiographs. , 2008, Dento maxillo facial radiology.
[18] Jiangping Wang,et al. Multimodal Image Registration with Deep Context Reinforcement Learning , 2017, MICCAI.
[19] Xueding Wang,et al. Medical breast ultrasound image segmentation by machine learning , 2019, Ultrasonics.
[20] Dinggang Shen,et al. Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning , 2016, IEEE Transactions on Biomedical Engineering.
[21] Roger C. Tam,et al. Manifold Learning of Brain MRIs by Deep Learning , 2013, MICCAI.
[22] Mir Kamyar Ziabari,et al. Mobile Self-Triage Applications: A Usability Perspective , 2018 .
[23] Xian-cheng Zhou,et al. New two-dimensional fuzzy C-means clustering algorithm for image segmentation , 2008 .
[24] Joseph Antony,et al. Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[25] Ritankar Das,et al. Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial , 2017, BMJ Open Respiratory Research.
[26] Edward Kim,et al. A deep semantic mobile application for thyroid cytopathology , 2016, SPIE Medical Imaging.
[27] P. Hunter. The advent of AI and deep learning in diagnostics and imaging , 2019, EMBO reports.
[28] R. S. Moni,et al. Diagnosis of Liver Tumor from CT Images using Curvelet Transform , 2010 .
[29] Dr Rajanikanth Aluvalu,et al. The Future of Health care: Machine Learning , 2018, International Journal of Engineering & Technology.
[30] K. Satya Prasad,et al. AUTOMATIC DETECTION OF BREAST CANCER MASS IN MAMMOGRAMS USING MORPHOLOGICAL OPERATORS AND FUZZY C -MEANS CLUSTERING , 2009 .
[31] Ghassan Hamarneh,et al. Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers , 2016, MLMI@MICCAI.
[32] Z. Obermeyer,et al. Predicting the Future - Big Data, Machine Learning, and Clinical Medicine. , 2016, The New England journal of medicine.
[33] N. Riyahi Alam,et al. Computer-Aided Mass Detection on Digitized Mammograms using a Novel Hybrid Segmentation System , 2010 .
[34] L. M. Brasil,et al. Breast cancer image assessment using an adaptative network-based fuzzy inference system , 2010, Pattern Recognition and Image Analysis.
[35] Max A. Viergever,et al. Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities , 2016, MICCAI.
[36] Peter Szolovits,et al. Artificial intelligence, machine learning and health systems , 2018, Journal of global health.
[37] Michal Ozery-Flato,et al. Changing the approach to treatment choice in epilepsy using big data , 2016, Epilepsy & Behavior.