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Conferences
| Year | Authors | Title | Conference | Metrics |
|---|---|---|---|---|
| 2026 | Longitudinal Modeling of Alzheimer’s Disease Progression Using a Bayesian Latent Framework with APOE-Dependent Genetic Effects | Lecture Notes in Computer Science | 10.1007/978-3-032-27314-7_7 | |
| 2026 | Prioritizing Telecontrol Repairs in Electrical Distribution Networks Using Graph-Based Impact Analysis | Lecture Notes in Computer Science | 10.1007/978-3-032-27317-8_34 | |
| 2026 | Survival Modeling in the Latent Space for Alzheimer’s Prognosis | Lecture Notes in Computer Science | 10.1007/978-3-032-27314-7_8 | |
| 2026 | Assessing the Robustness of Clinical–Metabolic Activity Models Through SAR in the PPMI Dataset | Lecture Notes in Computer Science | 10.1007/978-3-032-27314-7_12 | |
| 2026 | Modeling and Predicting Age-at-Onset Trajectories in Genetic Frontotemporal Dementia Using Survival Methods | Lecture Notes in Computer Science | 10.1007/978-3-032-27314-7_5 | |
| 2024 | RESISTO Project: Safeguarding the Power Grid from Meteorological Phenomena | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-61137-7_23 | |
| 2024 | Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-61140-7_12 | |
| 2024 | PDBIGDATA: A New Database for Parkinsonism Research Focused on Large Models | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-61140-7_18 | |
| 2024 | RESISTO Project: Automatic Detection of Operation Temperature Anomalies for Power Electric Transformers Using Thermal Imaging | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-61137-7_22 | |
| 2024 | A Cross-Modality Latent Representation for the Prediction of Clinical Symptomatology in Parkinson’s Disease | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-61140-7_8 | |
| 2024 | A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-61140-7_19 | |
| 2024 | A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-61140-7_16 | |
| 2023 | Statistical significance maps based on machine learning. On the use of data-dependent upper bounds | Proceedings - 2023 8th International Conference on Information and Network Technologies, ICINT 2023 | 10.1109/ICINT58947.2023.00009 | |
| 2022 | Modelling the Progression of the Symptoms of Parkinsons Disease Using a Nonlinear Decomposition of 123I FP-CIT SPECT Images | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-06242-1_11 | |
| 2022 | Standardization of Agnostic Learning Techniques in Neuroimaging: a Case Study in EEG | 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference | 10.1109/NSS/MIC44845.2022.10399333 | |
| 2022 | CAD System for Parkinson’s Disease with Penalization of Non-significant or High-Variability Input Data Sources | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-06242-1_3 | |
| 2022 | Ensemble Learning Using Weighted Convolutional Neural Networks for Parkinson’s Disease | 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference | 10.1109/NSS/MIC44845.2022.10399257 | |
| 2022 | Evaluating Intensity Concentrations During the Spatial Normalization of Functional Images for Parkinson’s Disease | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-06242-1_18 | |
| 2022 | Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-06242-1_4 | |
| 2022 | Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-06242-1_16 | |
| 2022 | Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-06242-1_10 | |
| 2022 | Analyzing Statistical Inference Maps Using MRI Images for Parkinson’s Disease | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-06242-1_17 | |
| 2022 | Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-031-06527-9_57 | |
| 2022 | Analysis of the Neurological Hallmarks of COVID-19. A Multivariate Approach Using 18F-FDG-PET Data | 2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference | 10.1109/NSS/MIC44845.2022.10399011 | |
| 2020 | Spatial Registration of Neuroimaging Data: Analysis of the Convenience of Performing Non-Affine Transformations | 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 | 10.1109/NSS/MIC42677.2020.9507925 | |
| 2020 | Estimating the Severity of Alzheimer’s Disease using Convolutional Neural Networks and Magnetic Resonance Imaging Data | 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 | 10.1109/NSS/MIC42677.2020.9507767 | |
| 2020 | Practical use of Alpha-Shapes in Neuroimaging for Parkinson’s Disease diagnosis | 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2020 | 10.1109/NSS/MIC42677.2020.9507930 | |
| 2019 | Periodogram Connectivity of EEG Signals for the Detection of Dyslexia | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-030-19591-5_36 | |
| 2019 | Case-Based Support Vector Optimization for Medical-Imaging Imbalanced Datasets | Advances in Intelligent Systems and Computing | 10.1007/978-3-319-94120-2_21 | |
| 2019 | Support Vector Machine Failure in Imbalanced Datasets | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-030-19591-5_42 | |
| 2019 | Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson’s Disease Dataset: A DaTSCAN Study | Advances in Intelligent Systems and Computing | 10.1007/978-3-319-94120-2_5 | |
| 2019 | Comparison Between Affine and Non-affine Transformations Applied to I [ 123 ] -FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-030-19591-5_39 | |
| 2019 | Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder | Advances in Intelligent Systems and Computing | 10.1007/978-3-319-94120-2_4 | |
| 2019 | Classification Improvement for Parkinson’s Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images | Advances in Intelligent Systems and Computing | 10.1007/978-3-319-94120-2_10 | |
| 2019 | Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-030-19591-5_37 | |
| 2018 | Ensemble classification of heterogeneous biomarkers in the diagnosis of Parkinsonism | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings | 10.1109/NSSMIC.2018.8824408 | |
| 2018 | Machine learning for accurate differentiation of benign and malignant breast tumors presenting as non-mass enhancement | Proceedings of SPIE - The International Society for Optical Engineering | 10.1117/12.2304588 | |
| 2018 | 3D gabor filters for chest segmentation in DCE-MRI | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-319-92639-1_37 | |
| 2018 | Improved separation of Alzheimer’s disease and related disorders using dual-point amyloid-PET | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings | 10.1109/NSSMIC.2018.8824703 | |
| 2018 | Florbetapir Image Analysis for Alzheimer’s Disease Diagnosis | 2018 IEEE 38th International Conference on Electronics and Nanotechnology, ELNANO 2018 - Proceedings | 10.1109/ELNANO.2018.8477516 | |
| 2018 | Analysis of I[123]-Ioflupane SPECT intensity iso-surfaces to assist the diagnosis of Parkinsonism | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings | 10.1109/NSSMIC.2018.8824707 | |
| 2018 | Segmentation of Molecular Neuroimages Using Hidden Markov Random Fields in Order to Improve the Assisted Diagnosis of Neurodegenerative Diseases | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings | 10.1109/NSSMIC.2018.8824521 | |
| 2018 | FP-CIT SPECT brain imaging for Parkinson’s diagnosis using contour lines | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings | 10.1109/NSSMIC.2018.8824575 | |
| 2018 | Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach | 2018 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2018 | 10.1109/PRNI.2018.8423959 | |
| 2018 | 3D-CNN HadNet classification of MRI for Alzheimer’s Disease diagnosis | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings | 10.1109/NSSMIC.2018.8824317 | |
| 2018 | A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer’s Disease | 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings | 10.1109/NSSMIC.2018.8824320 | |
| 2018 | Reproducible evaluation of registration algorithms for movement correction in dynamic contrast enhancing magnetic resonance imaging for breast cancer diagnosis | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-030-00946-5_14 | |
| 2017 | PET image classification using HHT-based features through fractal sampling | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-319-59740-9_31 | |
| 2017 | On the Use of Match Filtering for the P300 Detection | Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 | 10.1109/CSCI.2016.0237 | |
| 2017 | Preliminary study on unilateral sensorineural hearing loss identification via dual-tree complex wavelet transform and multinomial logistic regression | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-319-59740-9_28 | |
| 2017 | Automatic separation of parkinsonian patients and control subjects based on the striatal morphology | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-319-59740-9_34 | |
| 2017 | Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques | 2016 IEEE 18th International Workshop on Multimedia Signal Processing, MMSP 2016 | 10.1109/MMSP.2016.7813393 | |
| 2017 | A proposed computer-aided diagnosis system for Parkinson’s disease classification using 123I-FP-CIT imaging | Proceedings - 3rd International Conference on Advanced Technologies for Signal and Image Processing, ATSIP 2017 | 10.1109/ATSIP.2017.8075510 | |
| 2017 | Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes | Communications in Computer and Information Science | 10.1007/978-3-319-60964-5_40 | |
| 2017 | Feature ranking for mild cognitive impairment and Alzheimer’s disease diagnosis | 2017 Signal Processing Symposium, SPSympo 2017 | 10.1109/SPS.2017.8053649 | |
| 2017 | Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | 10.1117/12.2250281 | |
| 2017 | Learning longitudinal MRI patterns by SICE and deep learning: Assessing the Alzheimer’s disease progression | Communications in Computer and Information Science | 10.1007/978-3-319-60964-5_36 | |
| 2017 | A 3D convolutional neural network approach for the diagnosis of Parkinson’s disease | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-319-59740-9_32 | |
| 2017 | MRI brain segmentation using hidden Markov random fields with alpha-stable distributions | 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 | 10.1109/NSSMIC.2016.8069422 | |
| 2017 | On a heavy-tailed intensity normalization of the parkinson’s progression markers initiative brain database | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-319-59740-9_29 | |
| 2017 | Case-based statistical learning applied to SPECT image classification | Progress in Biomedical Optics and Imaging - Proceedings of SPIE | 10.1117/12.2253853 | |
| 2017 | Evaluating Alzheimer’s disease diagnosis using texture analysis | Communications in Computer and Information Science | 10.1007/978-3-319-60964-5_41 | |
| 2017 | Case-based statistical learning: A non parametric implementation applied to SPECT images | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-319-59740-9_30 | |
| 2017 | Simulating functional brain images in Alzheimer’s disease | 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 | 10.1109/NSSMIC.2016.8069420 | |
| 2017 | Statistical feature selection and classification models for Alzheimer’s disease progression assessment | 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 | 10.1109/NSSMIC.2016.8069560 | |
| 2017 | Assisting the diagnosis of neurodegenerative disorders using principal component analysis and tensorflow | Advances in Intelligent Systems and Computing | 10.1007/978-3-319-47364-2_5 | |
| 2017 | PETRA: A web-based system supporting computer aided diagnosis of Alzheimer’s disease | 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 | 10.1109/NSSMIC.2016.8069433 | |
| 2016 | A comparison among several methods for building templates in functional brain imaging | 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 | 10.1109/NSSMIC.2015.7582228 | |
| 2016 | Analysis of 18F-DMFP PET data using multikernel classification in order to assist the diagnosis of Parkinsonism | 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 | 10.1109/NSSMIC.2015.7582227 | |
| 2016 | Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease | International Journal of Neural Systems | 10.1142/S0129065716500258 | |
| 2016 | Improving short-term prediction from MCI to AD by applying searchlight analysis | Proceedings - International Symposium on Biomedical Imaging | 10.1109/ISBI.2016.7493199 | |
| 2016 | Short-term prediction of MCI to AD conversion based on longitudinal MRI analysis and neuropsychological tests | Smart Innovation, Systems and Technologies | 10.1007/978-3-319-23024-5_35 | |
| 2016 | Automated diagnosis of parkinsonian syndromes by deep sparse filtering-based features | Smart Innovation, Systems and Technologies | 10.1007/978-3-319-39687-3_24 | |
| 2016 | Short-term MCI-to-AD prediction using MRI, neuropsychological scores and ensemble tree learning techniques | 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015 | 10.1109/NSSMIC.2015.7582226 | |
| 2016 | Ensemble tree learning techniques for magnetic resonance image analysis | Smart Innovation, Systems and Technologies | 10.1007/978-3-319-23024-5_36 | |
| 2016 | Fuzzy computer-aided diagnosis of Alzheimer’s disease using MRI and PET statistical features | 2016 IEEE 36th International Conference on Electronics and Nanotechnology, ELNANO 2016 - Conference Proceedings | 10.1109/ELNANO.2016.7493045 | |
| 2015 | Automated diagnosis of alzheimer’s disease by integrating genetic biomarkers and tissue density information | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-319-18914-7_1 | |
| 2015 | A posterization strategy for the registration of [123I]FP-CIT SPECT brain images | VISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings | ||
| 2015 | Fuzzy classification of Alzheimer’s disease using statistical moments | 2015 IEEE 35th International Conference on Electronics and Nanotechnology, ELNANO 2015 - Conference Proceedings | 10.1109/ELNANO.2015.7146921 | |
| 2015 | Application of fuzzy logic for Alzheimer’s disease diagnosis | 2015 Signal Processing Symposium, SPSympo 2015 | 10.1109/SPS.2015.7168288 | |
| 2014 | Applications of Gaussian mixture models and mean squared error within DatSCAN SPECT imaging | 2014 IEEE International Conference on Image Processing, ICIP 2014 | 10.1109/ICIP.2014.7025734 | |
| 2014 | A simplified QRS decision stage based on the DFT coefficients | European Signal Processing Conference | ||
| 2014 | Affine registration of [123I]FP-CIT SPECT brain images | Studies in Health Technology and Informatics | 10.3233/978-1-61499-474-9-65 | |
| 2014 | Multimodal image data fusion for Alzheimer’s Disease diagnosis by sparse representation | Studies in Health Technology and Informatics | 10.3233/978-1-61499-474-9-11 | |
| 2014 | Gated sensor fusion: A way to improve the precision of ambulatory human body motion estimation | Studies in Health Technology and Informatics | 10.3233/978-1-61499-474-9-37 | |
| 2014 | Automatic classification of segmented MRI data combining independent component analysis and support vector machines | Studies in Health Technology and Informatics | 10.3233/978-1-61499-474-9-271 | |
| 2014 | Why using the alpha-stable distribution in neuroimage? | SIGMAP 2014 - Proceedings of the 11th International Conference on Signal Processing and Multimedia Applications, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications | 10.5220/0005091102970301 | |
| 2014 | Projecting MRI brain images for the detection of Alzheimer’s Disease | Studies in Health Technology and Informatics | 10.3233/978-1-61499-474-9-225 | |
| 2014 | Statistical significance in the selection of the regions of interest for Parkinson brain image processing | Studies in Health Technology and Informatics | 10.3233/978-1-61499-474-9-19 | |
| 2014 | Linear intensity normalization of DaTSCAN images using Mean Square Error and a model-based clustering approach | Studies in Health Technology and Informatics | 10.3233/978-1-61499-474-9-251 | |
| 2013 | Automatic orientation of functional brain images for multiplataform software | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-38637-4_42 | |
| 2013 | Texture features based detection of Parkinson’s disease on DaTSCAN images | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-38622-0_28 | |
| 2013 | Automatic differentiation between Alzheimer’s disease and mild cognitive impairment combining PET data and psychological scores | Proceedings - 2013 3rd International Workshop on Pattern Recognition in Neuroimaging, PRNI 2013 | 10.1109/PRNI.2013.45 | |
| 2013 | Early computer aided diagnosis of Parkinson’s disease based on nearest neighbor strategy and striatum activation threshold | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-38622-0_27 | |
| 2012 | A decision support system for the assisted diagnosis of brain tumors: A feasibility study for 18F-FDG PET preclinical studies | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | 10.1109/EMBC.2012.6347424 | |
| 2012 | Empirical mode decomposition as a feature extraction method for Alzheimer’s disease diagnosis | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2012.6551897 | |
| 2012 | Intensity normalization of FP-CIT SPECT in patients with Parkinsonism using the α-stable distribution | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2012.6551904 | |
| 2012 | A DSP embedded system. Application to digital communication systems | Proceedings - 2012 Technologies Applied to Electronics Teaching, TAEE 2012 | 10.1109/TAEE.2012.6235434 | |
| 2012 | FDG and PIB biomarker PET analysis for the Alzheimer’s disease detection using Association Rules | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2012.6551589 | |
| 2011 | Analysis of spect brain images using wilcoxon and relative entropy criteria and quadratic multivariate classifiers for the diagnosis of Alzheimer’s disease | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-21326-7_5 | |
| 2011 | SVM with bounds of confidence and PLS for quantifying the effects of acupuncture on migraine patients | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-21219-2_18 | |
| 2011 | GMM based SPECT image classification for the diagnosis of Alzheimer’s disease | Applied Soft Computing Journal | 10.1016/j.asoc.2010.08.012 | |
| 2011 | Computer aided diagnosis of Alzheimer’s disease using component based SVM | Applied Soft Computing Journal | 10.1016/j.asoc.2010.08.019 | |
| 2011 | Bayesian segmentation of magnetic resonance images using the α-stable distribution | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-21219-2_14 | |
| 2011 | MRI brain image segmentation with supervised SOM and probability-based clustering method | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-21326-7_6 | |
| 2011 | A quantitative study on acupuncture effects for fighting migraine using SPECT images | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-21326-7_10 | |
| 2011 | Effective diagnosis of Alzheimer’s disease by means of distance metric learning and random forest | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-21326-7_7 | |
| 2011 | Distance metric learning as feature reduction technique for the Alzheimer’s disease diagnosis | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-21326-7_8 | |
| 2011 | Effective diagnosis of Alzheimer’s disease by means of distance metric learning | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-21219-2_20 | |
| 2010 | Selecting regions of interest in SPECT images using wilcoxon test for the diagnosis of Alzheimer’s disease | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-13769-3_54 | |
| 2010 | Sensor fusion adaptive filtering for position monitoring in intense activities | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-13769-3_59 | |
| 2010 | NMF-based analysis of SPECT brain images for the diagnosis of Alzheimer’s disease | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-13769-3_57 | |
| 2010 | Machine learning for very early Alzheimer’s Disease diagnosis; A 18F-FDG and PiB PET comparison | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2010.5874201 | |
| 2010 | Improving the convergence rate in affine registration of PET brain images using histogram matching | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2010.5874481 | |
| 2010 | Partial least squares for feature extraction of SPECT images | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-13769-3_58 | |
| 2010 | Effective diagnosis of Alzheimer’s disease by means of association rules | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-13769-3_55 | |
| 2010 | A study of vibration-based energy harvesting in activities of daily living | 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010 | 10.4108/ICST.PERVASIVEHEALTH2010.8808 | |
| 2010 | Early Alzheimer’s disease diagnosis using partial least squares and random forests | 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings | 10.1109/ISBI.2010.5490408 | |
| 2010 | Exploring symmetry to assist Alzheimer’s disease diagnosis | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-13769-3_63 | |
| 2010 | Elitist genetic algorithm guided by higher order statistic for blind separation of digital signals | IECON Proceedings (Industrial Electronics Conference) | 10.1109/IECON.2010.5675526 | |
| 2009 | Early detection of the alzheimer disease combining feature selection and kernel machines | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-03040-6_50 | |
| 2009 | Alzheimer’s diagnosis using eigenbrains and support vector machines | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-02478-8_122 | |
| 2009 | Effective detection of the alzheimer disease by means of coronal NMSE SVM feature classification | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-01510-6_39 | |
| 2009 | Support vector machines and neural networks for the alzheimer’s disease diagnosis using PCA | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-02267-8_16 | |
| 2009 | Independent component analysis of SPECT images to assist the Alzheimer’s disease diagnosis | Advances in Intelligent and Soft Computing | 10.1007/978-3-642-01216-7_43 | |
| 2009 | Automatic selection of ROIs using a model-based clustering approach | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2009.5401704 | |
| 2009 | Computer aided diagnosis of alzheimer disease using support vector machines and classification trees | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-03040-6_51 | |
| 2009 | Analysis of brain SPECT images for the diagnosis of alzheimer disease using first and second order moments | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-02267-8_14 | |
| 2009 | Neurological image classification for the alzheimer’s disease diagnosis using kernel PCA and support vector machines | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2009.5402069 | |
| 2009 | Computer aided diagnosis of Alzheimer’s disease using principal component analysis and bayesian classifiers | Advances in Intelligent and Soft Computing | 10.1007/978-3-642-01216-7_23 | |
| 2009 | High-efficiency low-cost accelerometer-aided gyroscope calibration | Proceedings of the International Symposium on Test and Measurement | 10.1109/ICTM.2009.5412920 | |
| 2009 | Selecting regions of interest for the diagnosis of alzheimer’s disease in brain SPECT images using welch’s t-test | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-02478-8_121 | |
| 2009 | Functional brain image classification techniques for early alzheimer disease diagnosis | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-02267-8_17 | |
| 2009 | Computer aided diagnosis of the Alzheimer’s disease combining SPECT-based feature selection and random forest classifiers | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2009.5401968 | |
| 2009 | fMRI data analysis using a novel clustering technique | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2009.5401767 | |
| 2009 | Multivariate approaches for Alzheimer’s disease diagnosis using Bayesian classifiers | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2009.5401703 | |
| 2009 | Classification of SPECT images using clustering techniques revisited | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-02267-8_19 | |
| 2009 | Automatic system for alzheimer’s disease diagnosis using eigenbrains and bayesian classification rules | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-02478-8_119 | |
| 2009 | Automatic classification system for the diagnosis of Alzheimer disease using component-based SVM aggregations | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-03040-6_49 | |
| 2009 | SPECT image classification based on NMSE feature correlation weighting and SVM | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2009.5401973 | |
| 2009 | Selecting regions of interest for the diagnosis of alzheimer using brain SPECT images | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-01513-7_43 | |
| 2009 | SPECT image classification techniques for computer aided diagnosis of the alzheimer disease | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-642-02478-8_118 | |
| 2009 | Skewness as feature for the diagnosis of Alzheimer’s disease using spect images | Proceedings - International Conference on Image Processing, ICIP | 10.1109/ICIP.2009.5414369 | |
| 2008 | Automatic computer aided diagnosis tool using component-based SVM | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2008.4774255 | |
| 2008 | A comparison of nonlinear least-square optimization methods in affine registration of SPECT images | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2008.4774256 | |
| 2008 | Effective emission tomography image reconstruction algorithms for SPECT data | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-540-69384-0_79 | |
| 2008 | A trade-off between convergence speed and misadjustment for filtering discontinuous speech signals | European Signal Processing Conference | ||
| 2008 | Clustering approach for the classificarion of SPECT images | IEEE Nuclear Science Symposium Conference Record | 10.1109/NSSMIC.2008.4774440 | |
| 2007 | Revised contextual LRT for voice activity detection | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | 10.1109/ICASSP.2007.367034 | |
| 2007 | An efficient VAD based on a generalized Gaussian PDF | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-540-77347-4_21 | |
| 2007 | Improved likelihood ratio test detector using a jointly Gaussian probability distribution function | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-540-73055-2_5 | |
| 2007 | An efficient VAD based on a hang-over scheme and a likelihood ratio test | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/978-3-540-73007-1_5 | |
| 2006 | An efficient bispectrum phase entropy-based algorithm for VAD | INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP | ||
| 2006 | Effective speech/pause discrimination using an integrated bispectrum likelihood ratio test | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | ||
| 2006 | SVM-enabled voice activity detection | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/11760023_99 | |
| 2006 | Speech/non-speech discrimination combining advanced feature extraction and SVM learning | INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP | ||
| 2006 | C-means clustering applied to speech discrimination | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/11758501_87 | |
| 2006 | Noise subspace fuzzy C-means clustering for robust speech recognition | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/11751649_85 | |
| 2006 | Fuzzy logic speech/non-speech discrimination for noise robust speech processing | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/11758501_55 | |
| 2006 | GAIALAB: A weblab project for digital communications distributed learning | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | ||
| 2006 | Independent Component Analysis applied to Voice Activity Detection | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/11758501_35 | |
| 2006 | Speech event detection using support vector machines | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/11758501_50 | |
| 2006 | Effective speech/pause discrimination combining noise suppression and fuzzy logic rules | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | ||
| 2005 | Bispectra analysis-based VAD for robust speech recognition | Lecture Notes in Computer Science | 10.1007/11499305_58 | |
| 2005 | Bispectrum estimators for voice activity detection and speech recognition | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | ||
| 2005 | Voice activity detection using higher order statistics | Lecture Notes in Computer Science | 10.1007/11494669_102 | |
| 2005 | Bispectrum-based statistical tests for VAD | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 10.1007/11550907_85 |
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