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89 results on '"Alzheimer’s Disease Neuroimaging Initiative"'

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1. An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer’s Disease

2. Interpretable Weighted Siamese Network to Predict the Time to Onset of Alzheimer’s Disease from MRI Images

3. Does Pre-training on Brain-Related Tasks Results in Better Deep-Learning-Based Brain Age Biomarkers?

4. Image-to-Image Translation Between Tau Pathology and Neuronal Metabolism PET in Alzheimer Disease with Multi-domain Contrastive Learning

5. Filtered Trajectory Recovery: A Continuous Extension to Event-Based Model for Alzheimer’s Disease Progression Modeling

6. Subtype and Stage Inference with Timescales

7. Combining Static and Dynamic Features to Improve Longitudinal Image Retrieval for Alzheimer’s Disease

8. A Study of Demographic Bias in CNN-Based Brain MR Segmentation

9. Multimodal Super Resolution with Dual Domain Loss and Gradient Guidance

10. MISS-Net: Multi-view Contrastive Transformer Network for MCI Stages Prediction Using Brain F-FDG PET Imaging

11. Feature Robustness and Sex Differences in Medical Imaging: A Case Study in MRI-Based Alzheimer’s Disease Detection

12. Assessing Significance of Cognitive Assessments for Diagnosing Alzheimer’s Disease with Fuzzy-Rough Feature Selection

13. Improving Across Dataset Brain Age Predictions Using Transfer Learning

14. Classification of Brain MR Images for the Diagnosis of Alzheimer’s Disease Based on Features Extracted from the Three Main Brain Tissues

15. MRI Image Registration Considerably Improves CNN-Based Disease Classification

16. Contrastive Learning with Continuous Proxy Meta-data for 3D MRI Classification

17. Detection of Alzheimer’s Disease Versus Mild Cognitive Impairment Using a New Modular Hybrid Neural Network

18. Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression

19. A Probabilistic Framework for Modeling the Variability Across Federated Datasets

20. Feature Selection and Machine Learning Applied for Alzheimer’s Disease Classification

21. Automatic Detection of Alzheimer Disease Based on Histogram and Random Forest

22. GANDALF: Generative Adversarial Networks with Discriminator-Adaptive Loss Fine-Tuning for Alzheimer’s Disease Diagnosis from MRI

23. 3D DenseNet Ensemble in 4-Way Classification of Alzheimer’s Disease

24. Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer’s Disease

25. Early Diagnosis of Alzheimer’s Disease Based on Deep Learning and GWAS

26. Testing the Robustness of Attribution Methods for Convolutional Neural Networks in MRI-Based Alzheimer’s Disease Classification

27. Neurodegenerative Disease Data Ontology

28. Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer’s Disease

29. Consistent Brain Ageing Synthesis

30. A Dirty Multi-task Learning Method for Multi-modal Brain Imaging Genetics

31. Clustering of Longitudinal Shape Data Sets Using Mixture of Separate or Branching Trajectories

32. Decoding Brain Functional Connectivity Implicated in AD and MCI

33. Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression

34. Disease Knowledge Transfer Across Neurodegenerative Diseases

35. Learning Low-Dimensional Representations of Shape Data Sets with Diffeomorphic Autoencoders

36. Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia

37. Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks

38. Sulcal and Cortical Features for Classification of Alzheimer’s Disease and Mild Cognitive Impairment

39. Intelligent Hybrid Approach for Computer-Aided Diagnosis of Mild Cognitive Impairment

40. Diffusion Specific Segmentation: Skull Stripping with Diffusion MRI Data Alone

41. Classification of Alzheimer and MCI Phenotypes on MRI Data Using SVM

42. Brain Disease Diagnosis Using Deep Learning Features from Longitudinal MR Images

43. An Optimization Approach Based on Collective Correlation Coefficient for Biomarker Extraction in the Classification of Alzheimer’s Disease

44. Deep Convolutional Neural Networks for Automated Diagnosis of Alzheimer’s Disease and Mild Cognitive Impairment Using 3D Brain MRI

45. Characterizing Anatomical Variability and Alzheimer’s Disease Related Cortical Thinning in the Medial Temporal Lobe Using Graph-Based Groupwise Registration and Point Set Geodesic Shooting

46. Alzheimer’s Disease Modelling and Staging Through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes

47. Multi-channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer’s Disease

48. Graph of Brain Structures Grading for Early Detection of Alzheimer’s Disease

49. Joint Prediction and Classification of Brain Image Evolution Trajectories from Baseline Brain Image with Application to Early Dementia

50. Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes

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