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Home › Research › Topics › classification

classification

842 studies tagged classification, dated 1983-08-01 to 2026-09-25. Bibliography: BibTeX (.bib) · RIS (.ris)

Newest in this topic

  1. Diagnostic accuracy of remote self-administered digital cognitive assessment by clinical diagnosis and Alzheimer's disease PET imaging biomarkers 2026-09-25
  2. Multi-scale 3D CNN with imbalance-aware training for structural MRI-based six-class Alzheimer disease staging 2026-09-22
  3. T1 mapping in Alzheimer’s disease: a quantitative MRI study with amyloid-PET correlation 2026-09-21

Studies

842 studies carry this tag.

Date range

1983 to 2026

Top journals

  • Neurology 83
  • Journal of nuclear medicine : official publication, Society of Nuclear Medicine 42
  • Brain : a journal of neurology 34
  • NeuroImage 31
  • Alzheimer s & Dementia 30

283 journals in all.

Newest first, then by address. Each study has a usefulness score out of 100 (rubric version 4.0); tap a score to see what makes it up. Tags were assigned automatically from each study's title and summary. The same studies as a filter in the library.

  1. Amyloid PET in Dementia Syndromes: A Chinese Multicenter Study

    ✓ Peer-reviewed alzhub usefulness score 43 out of 100. Journal of nuclear medicine : official publication, Society of Nuclear Medicine 2020-05-08 Biomarkers

    Of the 1,193 CI patients, 860 (72.1%) were amyloid-positive.

  2. Cerebral Microhemorrhage at MRI in Mild Cognitive Impairment and Early Alzheimer Disease: Association with Tau and Amyloid β at PET Imaging

    ✓ Peer-reviewed alzhub usefulness score 48 out of 100. Radiology 2020-05-05 Tau biomarkers

    Growing evidence indicates an association between cerebral microhemorrhages (MHs) and amyloid β accumulation in Alzheimer disease (AD), but to the knowledge of the authors the association with tau burden is unknown.

  3. Reshaping the Amyloid Buildup Curve in Alzheimer Disease? Partial-Volume Effect Correction of Longitudinal Amyloid PET Data

    ✓ Peer-reviewed alzhub usefulness score 46 out of 100. Journal of nuclear medicine : official publication, Society of Nuclear Medicine 2020-05-01 Biomarkers

    Compared with non-PVE-corrected data, PVE-corrected data yielded significantly higher changes in regional and composite SUV ratio (SUVR) over time ( P = 0.0002 for composite SUVRs).

  4. Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia

    ✓ Peer-reviewed alzhub usefulness score 50 out of 100. European journal of nuclear medicine and molecular imaging 2020-04-22 Long-term cohort studies

    Positron emission tomography (PET) with 18 F-fluorodeoxyglucose (FDG) reveals altered cerebral metabolism in individuals with mild cognitive impairment (MCI) and Alzheimer's dementia (AD).

  5. Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis

    ✓ Peer-reviewed alzhub usefulness score 65 out of 100. Science bulletin 2020-04-03 Long-term cohort studies

    Hippocampal morphological change is one of the main hallmarks of Alzheimer's disease (AD).

  6. Medial temporal lobe connectivity and its associations with cognition in early Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 66 out of 100. Brain : a journal of neurology 2020-04-01 Mild cognitive impairment

    We found that amyloid-β-positive cognitively unimpaired individuals were mainly characterized by decreased functional connectivity between the medial temporal lobe and regions in the anterior-temporal system, most prominently between left perirhinal/entorhinal cortices and medial prefrontal cortex.

  7. Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment

    ✓ Peer-reviewed alzhub usefulness score 71 out of 100. The Cochrane database of systematic reviews 2020-03-02 Mild cognitive impairment

    In clinical samples, people with amnestic MCI are at high risk of developing Alzheimer's disease dementia, with annual rates of progression from MCI to Alzheimer's disease estimated at approximately 10% to 15% compared with the base incidence rates of Alzheimer's disease dementia of 1% to 2% per year.

  8. Hippocampal atrophy based Alzheimer's disease diagnosis via machine learning methods

    ✓ Peer-reviewed alzhub usefulness score 47 out of 100. Journal of neuroscience methods 2020-02-29 Digital health tools

    Alzheimer's disease is the most common form of dementia and is a serious health problem.

  9. Neuroticism, conscientiousness, and in vivo Alzheimer pathologies measured by amyloid PET and MRI

    ✓ Peer-reviewed alzhub usefulness score 40 out of 100. Psychiatry and clinical neurosciences 2020-02-23 Biomarkers

    The present findings suggest that amyloid-independent regional neurodegeneration might underlie relations of neuroticism and conscientiousness with AD.

  10. A Deep Siamese Convolution Neural Network for Multi-Class Classification of Alzheimer Disease

    ✓ Peer-reviewed alzhub usefulness score 49 out of 100. Brain sciences 2020-02-05 Brain scans and imaging

    Alzheimer's disease (AD) may cause damage to the memory cells permanently, which results in the form of dementia.

  11. Differential neurocognitive network perturbation in amnestic and aphasic Alzheimer disease

    ✓ Peer-reviewed alzhub usefulness score 44 out of 100. Neurology 2020-01-22 Biomarkers

    Despite the presumptive common underlying neuropathology of amyloid plaques and neurofibrillary tangles, the 2 groups displayed 2 different patterns of network perturbation, each concordant with the clinical presentation and the anatomy of neurodegeneration.

  12. Real-space navigation testing differentiates between amyloid-positive and -negative aMCI

    ✓ Peer-reviewed alzhub usefulness score 46 out of 100. Neurology 2020-01-02 Biomarkers

    Navigation testing in real space is a promising approach to identify patients with aMCI with underlying Alzheimer pathology.

  13. Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation

    ✓ Peer-reviewed alzhub usefulness score 48 out of 100. Journal of Alzheimer's disease : JAD 2020-01-01 Digital health tools

    EEG connectivity analysis via a combination of source/connectivity biomarkers, highly correlating with neuropsychological AD diagnosis, could represent a promising tool in identification of AD patients.

  14. Particulate matter and episodic memory decline mediated by early neuroanatomic biomarkers of Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 70 out of 100. Brain : a journal of neurology 2020-01-01 Digital health tools

    Therefore, we conducted a longitudinal study to examine whether PM2.5 affects the episodic memory decline, and also explored the potential mediating role of increased neuroanatomic risk of Alzheimer's disease associated with exposure.

  15. Objective subtle cognitive difficulties predict future amyloid accumulation and neurodegeneration

    ✓ Peer-reviewed alzhub usefulness score 50 out of 100. Neurology 2019-12-30 Hippocampus size on brain scans

    Relative to CN participants, Obj-SCD was associated with faster amyloid accumulation and selective vulnerability of entorhinal cortical thinning, whereas MCI was associated with faster entorhinal and hippocampal atrophy.

  16. Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data

    ✓ Peer-reviewed alzhub usefulness score 47 out of 100. Medical image analysis 2019-12-28 Long-term cohort studies

    Fusing multi-modality data is crucial for accurate identification of brain disorder as different modalities can provide complementary perspectives of complex neurodegenerative disease.

  17. β-Amyloid PET and neuropathology in dementia with Lewy bodies

    ✓ Peer-reviewed alzhub usefulness score 55 out of 100. Neurology 2019-12-20 Biomarkers

    Lower PiB uptake accurately distinguishes cases with LBD from cases with AD or mixed pathology, correlating with the Thal Aβ phase.

  18. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks

    ✓ Peer-reviewed alzhub usefulness score 64 out of 100. Journal of medical systems 2019-12-18 Long-term cohort studies

    Alzheimer's disease (AD) is an incurable neurodegenerative disorder accounting for 70%-80% dementia cases worldwide.

  19. A metabolite-based machine learning approach to diagnose Alzheimer-type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort

    ✓ Peer-reviewed alzhub usefulness score 58 out of 100. Alzheimer's & dementia (New York, N. Y.) 2019-12-18 Digital health tools

    This study showed that plasma metabolites have the potential to match the AUC of well-established AD CSF biomarkers in a relatively small cohort.

  20. Association of brain amyloidosis with the incidence and frequency of neuropsychiatric symptoms in ADNI: a multisite observational cohort study

    ✓ Peer-reviewed alzhub usefulness score 45 out of 100. BMJ open 2019-12-18 Long-term cohort studies

    275 cognitively normal controls (NC), 100 subjective memory complaint (SMC), 559 mild cognitive impairment (MCI) and 143 Alzheimer's disease dementia subjects from the Alzheimer's Disease Neuroimaging Initiative received ( 18 F)-florbetapir positron emission tomography (PET) scans.

  21. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 56 out of 100. NeuroImage 2019-12-16 Mild cognitive impairment

    Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder.

  22. OASIS-3: Longitudinal Neuroimaging, Clinical, and Cognitive Dataset for Normal Aging and Alzheimer Disease

    ⚠ Preprint — not yet peer-reviewed alzhub usefulness score 16 out of 100. medRxiv 2019-12-15 Genetics

    OASIS-3 is a compilation of MRI and PET imaging and related clinical data for 1098 participants who were collected across several ongoing studies in the Washington University Knight Alzheimer Disease Research Center over the course of 15 years.

  23. A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia

    ✓ Peer-reviewed alzhub usefulness score 47 out of 100. Neural networks : the official journal of the International Neural Network Society 2019-12-14 Digital health tools

    Electroencephalographic (EEG) recordings generate an electrical map of the human brain that are useful for clinical inspection of patients and in biomedical smart Internet-of-Things (IoT) and Brain-Computer Interface (BCI) applications.

  24. The Spatial-Temporal Ordering of Amyloid Pathology and Opportunities for PET Imaging

    ✓ Peer-reviewed alzhub usefulness score 47 out of 100. Journal of nuclear medicine : official publication, Society of Nuclear Medicine 2019-12-13 Biomarkers

    Although clinical routine focuses on dichotomous and visual interpretation of amyloid PET, regional image assessment in research settings may yield additional opportunities.

  25. Neurophysiological Markers of Alzheimer's Disease: Quantitative EEG Approach

    ✓ Peer-reviewed alzhub usefulness score 57 out of 100. Neurology and therapy 2019-12-12 Disease mechanisms

    Currently established and employed biomarkers of Alzheimer's disease (AD) predominantly mirror AD-associated molecular and structural brain changes.

  26. Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network

    ✓ Peer-reviewed alzhub usefulness score 53 out of 100. IEEE transactions on bio-medical engineering 2019-12-06 Long-term cohort studies

    Early identification of dementia at the stage of mild cognitive impairment (MCI) is crucial for timely diagnosis and intervention of Alzheimer's disease (AD).

  27. Functional Connectivity between the Resting-State Olfactory Network and the Hippocampus in Alzheimer's Disease

    ✓ Peer-reviewed alzhub usefulness score 41 out of 100. Brain sciences 2019-11-25 Long-term cohort studies

    Olfactory impairment is associated with prodromal Alzheimer's disease (AD) and is a risk factor for the development of dementia.

  28. Staging β-Amyloid Pathology With Amyloid Positron Emission Tomography

    ✓ Peer-reviewed alzhub usefulness score 67 out of 100. JAMA neurology 2019-11-01 Biomarkers

    Among 641 participants with CSF Aβ42 data and at least two 18F-florbetapir scans, 335 (52.3%) were male.

  29. Amyloid PET, FDG-PET or MRI? - the power of different imaging biomarkers to detect progression of early Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 48 out of 100. BMC neurology 2019-10-31 Biomarkers

    Amyloid imaging with PET and measuring cortical thickness with MRI are suitable biomarkers to detect disease progression in early AD within a small sample.

  30. Machine Learning-Based Framework for Differential Diagnosis Between Vascular Dementia and Alzheimer's Disease Using Structural MRI Features

    ✓ Peer-reviewed alzhub usefulness score 46 out of 100. Frontiers in neurology 2019-10-25 Digital health tools

    The experimental results demonstrate that the SVM with RBF achieved an encouraging performance with sensitivity (SEN), specificity (SPE), and accuracy (ACC) values of 82.65%, 87.17%, and 84.35%, respectively (AUC = 0.861, 95% CI = 0.820-0.902), for the differential diagnosis between VaD and AD.

  31. Predictive Value of 18F-Florbetapir and 18F-FDG PET for Conversion from Mild Cognitive Impairment to Alzheimer Dementia

    ✓ Peer-reviewed alzhub usefulness score 48 out of 100. Journal of nuclear medicine : official publication, Society of Nuclear Medicine 2019-10-18 Biomarkers

    On the basis of the independent validation dataset, the 18 F-FDG PET model yielded a significantly higher predictive value than the amyloid PET model.

  32. Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers

    ✓ Peer-reviewed alzhub usefulness score 55 out of 100. Frontiers in computational neuroscience 2019-10-16 Digital health tools

    As a result, our combined method achieved an area under the receiver operating characteristic (AU-ROC) curve of 98.33, 93.59, 96.83, 94.64, 96.43, and 95.24% for AD vs. MCIs subjects which are high relative to single modality results and other state-of-the-art approaches.

  33. Amyloid PET Quantification Via End-to-End Training of a Deep Learning

    ✓ Peer-reviewed alzhub usefulness score 36 out of 100. Nuclear medicine and molecular imaging 2019-10-14 Biomarkers

    We suggest a one-step quantification method for amyloid PET via a deep learning model.

  34. Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images

    ✓ Peer-reviewed alzhub usefulness score 51 out of 100. PloS one 2019-10-04 Long-term cohort studies

    In recent years, several high-dimensional, accurate, and effective classification methods have been proposed for the automatic discrimination of the subject between Alzheimer's disease (AD) or its prodromal phase {i.e., mild cognitive impairment (MCI)} and healthy control (HC) persons based on T1-weighted structural magnetic resonance imaging (sMRI).

  35. Applications of amyloid, tau, and neuroinflammation PET imaging to Alzheimer's disease and mild cognitive impairment

    ✓ Peer-reviewed alzhub usefulness score 50 out of 100. Human brain mapping 2019-09-14 Mild cognitive impairment

    Alzheimer's disease (AD) is a devastating and progressive neurodegenerative disease for which there is no cure.

  36. Classification of Alzheimer's Disease with and without Imagery using Gradient Boosted Machines and ResNet-50

    ✓ Peer-reviewed alzhub usefulness score 51 out of 100. Brain sciences 2019-08-22 Digital health tools

    A gradient boosted machine (GBM) predicted the presence of AD as a function of gender, age, education, socioeconomic status (SES), and a mini-mental state exam (MMSE).

  37. Amyloid imaging of dutch-type hereditary cerebral amyloid angiopathy carriers

    ✓ Peer-reviewed alzhub usefulness score 56 out of 100. Annals of neurology 2019-08-12 Biomarkers

    D-CAA M + showed greater age-dependent FLR PiB retention (p - , and serially imaged asymptomatic M + demonstrated greater longitudinal increases (p = 0.004).

  38. Neuroinflammation and Functional Connectivity in Alzheimer's Disease: Interactive Influences on Cognitive Performance

    ✓ Peer-reviewed alzhub usefulness score 58 out of 100. The Journal of neuroscience : the official journal of the Society for Neuroscience 2019-07-18 Mild cognitive impairment

    Multiple linear regression models identified sources of signal covariance between neuroinflammation and brain connectivity profiles, in relation to the diagnostic group (patients, controls) and cognitive status.

  39. A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures

    ✓ Peer-reviewed alzhub usefulness score 51 out of 100. Frontiers in neurology 2019-07-16 Digital health tools

    The final algorithm demonstrated an AUROC of 0.88, sensitivity of 77.7%, and a specificity of 79.9% on excluded test data.

  40. FDG-PET as an independent biomarker for Alzheimer's biological diagnosis: a longitudinal study

    ✓ Peer-reviewed alzhub usefulness score 64 out of 100. Alzheimer's research & therapy 2019-06-29 Mild cognitive impairment

    The prevalence of A+T+N+F+ profile was 66.24% in clinically diagnosed AD dementia patients; similarly, the majority of individuals with reduced FDG-PET were AD dementia subjects.

  41. The Multilingual Naming Test (MINT) as a Measure of Picture Naming Ability in Alzheimer's Disease

    ✓ Peer-reviewed alzhub usefulness score 51 out of 100. Journal of the International Neuropsychological Society : JINS 2019-06-28 Long-term cohort studies

    The present study investigated the ability of the Multilingual Naming Test (MINT), a picture naming test recently added to the National Alzheimer's Coordinating Center's (NACC) Uniform Data Set neuropsychological test battery, to detect naming impairment (i.e., dysnomia) across stages of Alzheimer's disease (AD).

  42. A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data

    ✓ Peer-reviewed alzhub usefulness score 56 out of 100. Alzheimer's & dementia : the journal of the Alzheimer's Association 2019-06-11 Prevention and risk

    The deep-learning time-to-event model predicted individual subjects' progression to AD dementia with a concordance index of 0.762 on 439 Alzheimer's Disease Neuroimaging Initiative testing MCI subjects with follow-up duration from 6 to 78 months (quartiles: [24, 42, 54]) and a concordance index of 0.781 on 40 Australian Imaging Biomarkers and Lifestyle Study of Aging testing MCI subjects with follow-up duration from 18 to 54 months (quartiles: [18, 36, 54]).

  43. A multicentre longitudinal study of flortaucipir (18F) in normal ageing, mild cognitive impairment and Alzheimer's disease dementia

    ✓ Peer-reviewed alzhub usefulness score 72 out of 100. Brain : a journal of neurology 2019-06-01 Caregiving

    There was a statistically significant increase in the global estimate of cortical tau burden as measured by standardized uptake value ratio (SUVr) from baseline to 18 months in amyloid-β+ but not amyloid-β- subjects (least squared mean change in flortaucipir SUVr : 0.0524 ± 0.0085, P < 0.0001 and 0.0007 ± 0.0024 P = 0.7850, respectively), and a significant association between magnitude of SUVr increase and baseline tau burden.

  44. Prediction of Alzheimer's disease dementia with MRI beyond the short-term: Implications for the design of predictive models

    ✓ Peer-reviewed alzhub usefulness score 42 out of 100. NeuroImage. Clinical 2019-04-30 Digital health tools

    Magnetic resonance imaging (MRI) volumetric measures have become a standard tool for the detection of incipient Alzheimer's Disease (AD) dementia in mild cognitive impairment (MCI).

  45. Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 56 out of 100. NeuroImage. Clinical 2019-04-03 Digital health tools

    In the present study, our automated classifier successfully classified FTD clinical subtypes with good to excellent accuracy.

  46. Association of Amyloid Positron Emission Tomography With Subsequent Change in Clinical Management Among Medicare Beneficiaries With Mild Cognitive Impairment or Dementia

    ✓ Peer-reviewed alzhub usefulness score 76 out of 100. JAMA 2019-04-01 Biomarkers

    Among 16 008 registered participants, 11 409 (71.3%) completed study procedures and were included in the analysis (median age, 75 years [interquartile range, 71-80]; 50.9% women; 60.5% with MCI).

  47. The metabolic brain signature of cognitive resilience in the 80+: beyond Alzheimer pathologies

    ✓ Peer-reviewed alzhub usefulness score 64 out of 100. Brain : a journal of neurology 2019-04-01 Brain scans and imaging

    Our main findings were: (i) FDG-PET uptake in the bilateral anterior cingulate cortex and anterior temporal pole was associated with baseline global cognition in cognitively stable 80+ (the resilience signature); (ii) established Alzheimer's disease imaging biomarkers did not predict baseline global cognition in this subset of participants; (iii) in the full MCSA 80+ and ADNI cohorts, amyloid burden and FDG-PET in the resilience signature were the stronger predictors of baseline global cognition; (iv) sex and systemic vascular health predicted FDG-PET in the resilience signature, suggesting vascular health maintenance as a potential pathway to preserve the metabolism of these areas; and (v) the resilience signature provided significant information about global longitudinal cognitive change even when considering amyloid status in both the MCSA and ADNI cohorts.

  48. Radiomics: a novel feature extraction method for brain neuron degeneration disease using 18F-FDG PET imaging and its implementation for Alzheimer's disease and mild cognitive impairment

    ✓ Peer-reviewed alzhub usefulness score 52 out of 100. Therapeutic advances in neurological disorders 2019-03-29 Long-term cohort studies

    Alzheimer's disease (AD) is the most common form of progressive and irreversible dementia, and accurate diagnosis of AD at its prodromal stage is clinically important.

  49. A pilot study of fluorescence lifetime imaging ophthalmoscopy in preclinical Alzheimer's disease

    ✓ Peer-reviewed alzhub usefulness score 53 out of 100. Eye (London, England) 2019-03-28 Tau biomarkers

    This prospective, observational study enrolled patients with early AD undergoing Alzheimer's biomarker analysis and matched controls.

  50. Trajectories of the Hippocampal Subfields Atrophy in the Alzheimer's Disease: A Structural Imaging Study

    ✓ Peer-reviewed alzhub usefulness score 54 out of 100. Frontiers in neuroinformatics 2019-03-22 Mild cognitive impairment

    The trend changes in the hippocampus subfields and further illustrates that SCD is the preclinical stage of AD earlier than aMCI.

From across this tag

10 of the 838 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.

All topic tags with their study counts