Deep Learning Publication Navigator - subtopic: disease

Year TitleAuthor
2017   Detecting Cardiovascular Disease from Mammograms with Deep Learning.  J Wang, H Ding, F Azamian, B Zhou, C Iribarren
2017   Deep Ensemble Learning of Sparse Regression Models for Brain Disease Diagnosis  HI Suk, SW Lee, D Shen
2017   Uncertainties in Big Data When Using Internet Surveillance Tools and Social Media for Determining Patterns in Disease Incidence—Reply  MS Deiner, TM Lietman, TC Porco
2017   Multi-Modal Classification of Neurodegenerative Disease by Progressive Graph-Based Transductive Learning  Z Wang, X Zhu, E Adeli, Y Zhu, F Nie, B Munsell
2017   Characterisation of voice quality of Parkinson" s disease using differential phonological posterior features  M Cernak, JR Orozco
2017   Deep Learning based Classification of FDG-PET Data for Alzheimer's Disease  S Singh
2017   Deep Learning Approach for Prediction of Heart Disease Using Data mining Classification Algorithm Deep Belief Network  T Karthikeyan, VA Kanimozhi
2017   Method And System For Cardiovascular Disease Assessment And Management  T Sinha, I Eslick, A Leggitt
2017   Method, Electronic Apparatus, And Computer Readable Medium Of Constructing Classifier For Disease Detection  M Wu, E Chang
2017   Applying artificial intelligence to disease staging: Deep learning for improved staging of diabetic retinopathy.  H Takahashi, H Tampo, Y Arai, Y Inoue, H Kawashima
2017   Cognitive Subscore Trajectory Prediction in Alzheimer's Disease  LE Givon, LJ Mariano, AR Schneider, D O'Dowd
2017   Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method  T Zhou, G Han, BN Li, Z Lin, EJ Ciaccio, PH Green
2017   A Disease Risk Model for Health Data  J Xie, Y Liu, Z Zhou, R Wang, Y Kong, Y Guo, W Zhang
2017   Spectral Analysis of CNN for Tomato Disease Identification  A Fuentes, DH Im, S Yoon, DS Park
2017   Computational medicine: A cybernetic eye for rare disease  Q Wang, D Shen
2017   Plant Leaf Disease Detection using Deep Learning and Convolutional Neural Network  AMGJ Hanson, A Joy, J Francis
2017   Deep learning analytics for diagnostic support of breast cancer disease management  T He, M Puppala, R Ogunti, JJ Mancuso, X Yu, S Chen
2017   Diagnosis of Coronary Artery Disease Using Deep Belief Networks  G Altan, N Allahverdi, Y Kutlu
2017   Multimodal Neuroimaging Feature Learning with Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease  J Shi, X Zheng, Y Li, Q Zhang, S Ying
2017   Deep Learning for Detecting Freezing of Gait Episodes in Parkinson's Disease Based on Accelerometers  J Camps, A Samà, M Martín, D Rodríguez
2017   Deep learning of texture and structural features for multiclass Alzheimer's disease classification  CV Dolph, M Alam, Z Shboul, MD Samad
2017   Noisy deep dictionary learning: Application to Alzheimer's Disease classification  A Majumdar, V Singhal
2016   Efficient diagnosis system for Parkinson's disease using deep belief network  AH Al
2016   Clinical decision support for Alzheimer's disease based on deep learning and brain network  C Hu, R Ju, Y Shen, P Zhou, Q Li
2016   Classification of Alzheimer's Disease Structural MRI Data by Deep Learning Convolutional Neural Networks  S Sarraf, G Tofighi
2016   Deep Learning of Brain Lesion Patterns for Predicting Future Disease Activity in Patients with Early Symptoms of Multiple Sclerosis  Y Yoo, LW Tang, T Brosch, DKB Li, L Metz
2016   Diagnosis of Degenerative Intervertebral Disc Disease with Deep Networks and SVM  AB Oktay, YS Akgul
2016   Recent machine learning advancements in sensor-based mobility analysis: Deep learning for Parkinson's disease assessment  BM Eskofier, SI Lee, JF Daneault, FN Golabchi
2016   Thorax disease diagnosis using deep convolutional neural network  J Chen, X Qi, O Tervonen, O Silvén, G Zhao
2016   Deep convolutional neural networks for classification of mild cognitive impaired and Alzheimer's disease patients from scalp EEG recordings  FC Morabito, M Campolo, C Ieracitano, JM Ebadi
2016   Sparse feature learning for image analysis in segmentation, classification, and disease diagnosis.  E Hosseini
2016   Classification of Alzheimer's Disease using fMRI Data and Deep Learning Convolutional Neural Networks  S Sarraf, G Tofighi
2016   A computational framework for disease grading using protein signatures  E Zerhouni, B Prisacari, Q Zhong, P Wild, M Gabrani
2016   Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network  E Hosseini
2016   Alzheimer's Disease Diagnostics by Adaptation of 3D Convolutional Network  E Hosseini
2016   Mental Disease Feature Extraction with MRI by 3D Convolutional Neural Network with Multi-channel Input  L Cao, Z Liu, X He, Y Cao, K Li
2016   Application of machine learning on postural control kinematics for the Diagnosis of Alzheimer's disease  L Costa, MF Gago, D Yelshyna, J Ferreira, HD Silva
2016   Multi-modality stacked deep polynomial network based feature learning for Alzheimer's disease diagnosis  X Zheng, J Shi, Y Li, X Liu, Q Zhang
2016   Deep Spectral-Based Shape Features for Alzheimer's Disease Classification  M Shakeri, H Lombaert, S Tripathi, S Kadoury
2016   Convolutional Neural Networks Applied for Parkinson's Disease Identification  CR Pereira, DR Pereira, JP Papa, GH Rosa, XS Yang
2015   Bone disease prediction and phenotype discovery using feature representation over electronic health records  H Li, X Li, X Jia, M Ramanathan, A Zhang
2015   PD Disease State Assessment in Naturalistic Environments using Deep Learning  NY Hammerla, JM Fisher, P Andras, L Rochester
2015   Multi-retinal disease classification by reduced deep learning features  R Arunkumar, P Karthigaikumar
2015   Linguistic Features Identify Alzheimer's Disease in Narrative Speech  KC Fraser, JA Meltzer, F Rudzicz
2015   Crohn's disease segmentation from mri using learned image priors  D Mahapatra, P Schüffler, F Vos, JM Buhmann
2015   Deep Learning in information analysis of electrocardiogram signals for disease diagnostics  IA Dmitrievich
2015   Deep Networks for Early Stage Skin Disease and Skin Cancer Classification  A Esteva
2015   Comparison of Machine Learning Techniques for the Identification of the Stages of Parkinson's Disease  PF Deena, K Raimond
2015   Deep Learning Gets to the Bottom of Disease  G Dutton
2015   Identification of altered cis-regulatory elements in human disease  A Mathelier, W Shi, WW Wasserman
2015   A panel of mass spectrometry based serum protein tests for predicting graft-versus-host disease (GvHD) and its severity  H Roder, AC Hoffmann, J Roder, M Koldehoff
2015   Detection of Alzheimer's disease using group lasso SVM-based region selection  Z Sun, Y Fan, BPF Lelieveldt, M van de Giessen
2015   Systematic Comparison of Machine Learning Methods for Identification of miRNA Species as Disease Biomarkers  C Higuchi, T Tanaka, Y Okada
2015   Current challenges in glioblastoma: intratumour heterogeneity, residual disease and models to predict disease recurrence  HP Ellis, M Greenslade, B Powell, I Spiteri, A Sottoriva
2014   Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer's Disease  D Domenger, P Coupé