Nome |
# |
Complex networks reveal early MRI markers of Parkinson's disease, file dd9e0c6a-e400-1e9c-e053-3a05fe0a45ef
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229
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Microcalcification detection in full-field digital mammograms: A fully automated computer-aided system, file 04e4d489-d2c7-41b1-aa3e-2c831696abac
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133
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Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge, file dd9e0c69-bb37-1e9c-e053-3a05fe0a45ef
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110
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A complex network approach reveals pivotal sub-structure of genes linked to Schizophrenia, file dd9e0c64-ece9-1e9c-e053-3a05fe0a45ef
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94
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DTI measurements for Alzheimer's classification, file 885aa05b-5b5a-42a7-85b0-54c5fdafcc0f
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86
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Association between miRNAs expression and cognitive performances of Pediatric Multiple Sclerosis patients: A pilot study, file dd9e0c69-9a24-1e9c-e053-3a05fe0a45ef
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75
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Ensemble discretewavelet transform and gray-level co-occurrence matrix for microcalcification cluster classification in digital mammography, file dd9e0c69-9eb2-1e9c-e053-3a05fe0a45ef
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63
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The transcriptomic context of DRD1 is associated with prefrontal activity and behavior during working memory, file dd9e0c65-9303-1e9c-e053-3a05fe0a45ef
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60
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A Gradient-Based Approach for Breast DCE-MRI Analysis, file dd9e0c69-d792-1e9c-e053-3a05fe0a45ef
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60
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Applications of PDEs Inpainting to Magnetic Particle Imaging and Corneal Topography, file dd9e0c67-fd84-1e9c-e053-3a05fe0a45ef
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58
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Radiomics analysis on contrast-enhanced spectral mammography images for breast cancer diagnosis: A pilot study, file dd9e0c69-9a2b-1e9c-e053-3a05fe0a45ef
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56
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Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images, file dd9e0c69-9eb4-1e9c-e053-3a05fe0a45ef
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49
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Communicability characterization of structural DWI subcortical networks in Alzheimer's disease, file dd9e0c69-9a9c-1e9c-e053-3a05fe0a45ef
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48
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Salient networks: a novel application to study Alzheimer disease, file dd9e0c69-bbfb-1e9c-e053-3a05fe0a45ef
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46
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A Novel Synchronization-based Approach for Functional Connectivity Analysis, file dd9e0c64-e7b6-1e9c-e053-3a05fe0a45ef
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41
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Deep learning and multiplex networks for accurate modeling of brain age, file dd9e0c69-daac-1e9c-e053-3a05fe0a45ef
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36
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Assessment of network module identification across complex diseases, file dd9e0c69-a239-1e9c-e053-3a05fe0a45ef
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24
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Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease, file dd9e0c69-a783-1e9c-e053-3a05fe0a45ef
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21
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Multiplex Networks for Early Diagnosis of Alzheimer's Disease, file dd9e0c69-daa1-1e9c-e053-3a05fe0a45ef
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20
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Microcalcification detection in full-field digital mammograms: A fully automated computer-aided system, file dd9e0c67-2fb4-1e9c-e053-3a05fe0a45ef
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18
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Thalamic connectivity measured with fMRI is associated with a polygenic index predicting thalamo-prefrontal gene co-expression, file dd9e0c65-c908-1e9c-e053-3a05fe0a45ef
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8
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DTI measurements for Alzheimer's classification, file dd9e0c69-9d34-1e9c-e053-3a05fe0a45ef
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8
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A primer on machine learning techniques for genomic applications, file dd9e0c6b-48e1-1e9c-e053-3a05fe0a45ef
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8
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Complex networks reveal early MRI markers of Parkinson's disease, file dd9e0c69-a0d4-1e9c-e053-3a05fe0a45ef
|
6
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Multivariate regression analysis of structural MRI connectivity matrices in Alzheimerâs disease, file dd9e0c69-3ab4-1e9c-e053-3a05fe0a45ef
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5
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Radiomic analysis in contrast-enhanced spectral mammography for predicting breast cancer histological outcome, file dd9e0c69-e0a7-1e9c-e053-3a05fe0a45ef
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5
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Topological Complex Networks Properties for Gene Community Detection Strategy: DRD2 Case Study, file dd9e0c65-2dc6-1e9c-e053-3a05fe0a45ef
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4
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A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis, file dd9e0c67-2cc2-1e9c-e053-3a05fe0a45ef
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4
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Random forests highlight the combined effect of environmental heavy metals exposure and genetic damages for cardiovascular diseases, file dd9e0c6b-4950-1e9c-e053-3a05fe0a45ef
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4
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null, file dd9e0c63-bc49-1e9c-e053-3a05fe0a45ef
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3
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null, file dd9e0c64-b6fb-1e9c-e053-3a05fe0a45ef
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3
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The PERSON project: a serious brain-computer interface game for treatment in cognitive impairment, file dd9e0c69-c245-1e9c-e053-3a05fe0a45ef
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3
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null, file dd9e0c69-daa5-1e9c-e053-3a05fe0a45ef
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3
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Multi-time-scale features for accurate respiratory sound classification, file dd9e0c6b-7b00-1e9c-e053-3a05fe0a45ef
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3
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Association between structural connectivity and generalized cognitive spectrum in alzheimer’s disease, file dd9e0c6b-7b68-1e9c-e053-3a05fe0a45ef
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3
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Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data, file 4fd8af40-9051-404b-a5ce-8052eb16ca11
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2
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null, file dd9e0c62-a95d-1e9c-e053-3a05fe0a45ef
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2
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Modelling Cognitive Loads in Schizophrenia by means of New Functional Dynamic Indexes, file dd9e0c68-9574-1e9c-e053-3a05fe0a45ef
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2
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Breath analysis for early detection of malignant pleural mesothelioma: Volatile organic compounds (VOCs) determination and possible biochemical pathways, file dd9e0c68-ae73-1e9c-e053-3a05fe0a45ef
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2
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Feature selection based on machine learning in MRIs for hippocampal segmentation, file dd9e0c69-8517-1e9c-e053-3a05fe0a45ef
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2
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Machine learning for cloud detection of globally distributed sentinel-2 images, file dd9e0c69-baeb-1e9c-e053-3a05fe0a45ef
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2
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Extensive evaluation of morphological statistical harmonization for brain age prediction, file dd9e0c69-baed-1e9c-e053-3a05fe0a45ef
|
2
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Communicability disruption in Alzheimer's disease connectivity networks, file dd9e0c69-c23d-1e9c-e053-3a05fe0a45ef
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2
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Shannon entropy approach reveals relevant genes in Alzheimer's disease, file dd9e0c69-c5af-1e9c-e053-3a05fe0a45ef
|
2
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null, file dd9e0c69-d943-1e9c-e053-3a05fe0a45ef
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2
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Machine learning and DWI brain communicability networks for Alzheimer's disease detection, file dd9e0c69-d989-1e9c-e053-3a05fe0a45ef
|
2
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Unraveling the microbiome-metabolome nexus: a comprehensive study protocol for personalized management of Behḉet’s disease using explainable artificial intelligence, file 00167508-380e-4fa5-94ba-c60ab5e59cb7
|
1
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The impact of harmonization on radiomic features in Parkinson’s disease and healthy controls: A multicenter study, file 117aa8b3-23e4-44a5-a57b-5591b0b4b317
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1
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A multiplex network model to characterize brain atrophy in structural MRI, file 3946df78-8ef9-42bf-b7c6-0ddce4a6652d
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1
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Machine learning and XAI approaches highlight the strong connection between $$O_3$$ and $$NO_2$$ pollutants and Alzheimer’s disease, file 882387d5-f318-4d3d-8303-bbf4cbf0f405
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1
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Predicting brain age with complex networks: From adolescence to adulthood, file d4d75343-aa7f-4c18-8227-c13006bcbad8
|
1
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Trial latencies estimation of event-related potentials in EEG by means of genetic algorithms, file dd9e0c67-2e91-1e9c-e053-3a05fe0a45ef
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1
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Computer aided detection system for prediction of the malaise during hemodialysis, file dd9e0c69-40fd-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c69-7730-1e9c-e053-3a05fe0a45ef
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1
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Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease, file dd9e0c69-9058-1e9c-e053-3a05fe0a45ef
|
1
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null, file dd9e0c69-9d35-1e9c-e053-3a05fe0a45ef
|
1
|
An hippocampal segmentation tool within an open cloud infrastructure, file dd9e0c69-a0cb-1e9c-e053-3a05fe0a45ef
|
1
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A multi-layer MRI description of Parkinson's diseas, file dd9e0c69-a235-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c69-a23c-1e9c-e053-3a05fe0a45ef
|
1
|
Hippocampal unified multi-atlas network (HUMAN): Protocol and scale validation of a novel segmentation tool, file dd9e0c69-a3e5-1e9c-e053-3a05fe0a45ef
|
1
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Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm, file dd9e0c69-bb31-1e9c-e053-3a05fe0a45ef
|
1
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Multiple RF classifier for the hippocampus segmentation: Method and validation on EADC-ADNI Harmonized Hippocampal Protocol, file dd9e0c69-c24e-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c69-c9cc-1e9c-e053-3a05fe0a45ef
|
1
|
null, file dd9e0c69-da7c-1e9c-e053-3a05fe0a45ef
|
1
|
Totale |
1.437 |