Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning | Paper Citation Record

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This paper cites Disentangle first, then distill: a unified framework for missing modality imputation and Alzheimer’s disease diagnosis.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Disentangle first, then distill: a unified framework for missing modality imputation and Alzheimer’s disease diagnosis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:58.021513Z

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This paper cites Generalizing to unseen domains: A survey on domain generalization.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Generalizing to unseen domains: A survey on domain generalization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:57.830334Z

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Observation eb2e7b65-30c7-49f2-86fe-9dc92ea04e25 · outbound

This paper cites Multi-template meta-information regularized network for Alzheimer’s disease diagnosis using structural MRI.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Multi-template meta-information regularized network for Alzheimer’s disease diagnosis using structural MRI

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:57.613505Z

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This paper cites A multimodal approach integrating convolutional and recurrent neural networks for Alzheimer’s disease temporal progression prediction.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning A multimodal approach integrating convolutional and recurrent neural networks for Alzheimer’s disease temporal progression prediction

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:57.404723Z

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Observation 2560bb47-f33e-4d0f-8e3f-53f9747012d0 · outbound

This paper cites M3t: three-dimensional medical image classifier using multi-plane and multi-slice transformer.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning M3t: three-dimensional medical image classifier using multi-plane and multi-slice transformer

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:57.195930Z

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Observation e2a162e0-3d6d-43e8-8cf2-a65854f2bdee · outbound

This paper cites Multi-attention- based global 3d resnet for Alzheimer’s disease diagnosis.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Multi-attention- based global 3d resnet for Alzheimer’s disease diagnosis

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:57.009886Z

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Observation 4f903c20-e28e-42b0-9c76-a00fff5a3249 · outbound

This paper cites 3d global fourier network for Alzheimer’s disease diagnosis using structural MRI.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning 3d global fourier network for Alzheimer’s disease diagnosis using structural MRI

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:56.799965Z

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This paper cites An effective deep learning-based automatic prediction and classification of Alzheimer’s disease using EGELU-SZN technique.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning An effective deep learning-based automatic prediction and classification of Alzheimer’s disease using EGELU-SZN technique

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:56.588258Z

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Observation f8177eb2-1111-4b0b-97f0-dc626f73d48a · outbound

This paper cites Vitad: Leveraging modified vision transformer for Alzheimer’s disease multi-stage classification from brain MRI scans.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Vitad: Leveraging modified vision transformer for Alzheimer’s disease multi-stage classification from brain MRI scans

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:56.430532Z

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This paper cites Multimodal surface-based transformer model for early diagnosis of Alzheimer’s disease.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Multimodal surface-based transformer model for early diagnosis of Alzheimer’s disease

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:56.234242Z

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Observation c5ac3c49-8fac-4589-9ea6-d2a58805cab1 · outbound

This paper cites Training vit with limited data for Alzheimer’s disease classification: An empirical study.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Training vit with limited data for Alzheimer’s disease classification: An empirical study

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:56.020886Z

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Observation 56e2a8e9-33ad-4fa2-93d3-98f7a4f70c62 · outbound

This paper cites Dense convolution-based attention network for Alzheimer’s disease classification.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Dense convolution-based attention network for Alzheimer’s disease classification

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:55.809200Z

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Observation e92c6213-4fc2-43e9-a577-a8a63a447ae6 · outbound

This paper cites Anatomy-aware gating network for explainable Alzheimer’s disease diagnosis.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Anatomy-aware gating network for explainable Alzheimer’s disease diagnosis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:55.589491Z

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Observation ef668431-8fbf-4f25-b6f2-90b17bc6559f · outbound

This paper cites Lteif, S.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Lteif, S

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:55.448565Z

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Observation 11805fa6-b2b5-4d37-8fc7-5ca3dc862964 · outbound

This paper cites Prototype-guided multi-scale domain adaptation for Alzheimer’s disease detection.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Prototype-guided multi-scale domain adaptation for Alzheimer’s disease detection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:55.278533Z

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Observation b8181c21-e88b-47b1-aabb-7326af0fa486 · outbound

This paper cites an unresolved cited work.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Unresolved cited work

Reference 16

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Observation 466ec906-fe95-496b-89d9-ed610a991029 · outbound

This paper cites Learning with domain-knowledge for generalizable prediction of Alzheimer’s disease from multi-site structural MRI.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Learning with domain-knowledge for generalizable prediction of Alzheimer’s disease from multi-site structural MRI

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:54.973315Z

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This paper cites Mathematical morphology.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Mathematical morphology

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:54.814180Z

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This paper cites Histopathological image analysis: A review.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Histopathological image analysis: A review

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:54.615803Z

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Observation 3b8cc6da-55c2-4da5-8f4a-daf467523d4e · outbound

This paper cites Deformable medical image registration: A survey.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Deformable medical image registration: A survey

Reference 20

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Observation a488d3d1-5177-4b28-9ad3-b7f1f2a3a12e · outbound

This paper cites Medical image fusion: A survey of the state of the art.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Medical image fusion: A survey of the state of the art

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:54.455618Z

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Observation 6977deb7-96cd-47f8-a686-55d610e7b895 · outbound

This paper cites Multivariate mathematical morphology applied to colour image analysis.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Multivariate mathematical morphology applied to colour image analysis

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:54.240923Z

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Observation 7540c97c-0e44-4f85-963e-7f51d156f75a · outbound

This paper cites Learning deep morphological networks with neural architecture search.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Learning deep morphological networks with neural architecture search

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:54.013280Z

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Observation e002745e-ea8b-4afa-ade8-759adddfa12b · outbound

This paper cites Multi-scale morphology-aided deep medical image segmentation.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Multi-scale morphology-aided deep medical image segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:53.770384Z

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Observation a07b1da2-a431-4b2c-9add-f679a055da28 · outbound

This paper cites Differentiable soft morphological filters for medical image segmentation.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Differentiable soft morphological filters for medical image segmentation

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:53.542638Z

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Observation d34a4155-2d91-48c5-963f-f86d6e46f057 · outbound

This paper cites Hybrid morphological-convolutional neural networks for computer-aided diagnosis.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Hybrid morphological-convolutional neural networks for computer-aided diagnosis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:53.357316Z

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Observation 3f9efc9b-0699-4671-a51f-418b566b2b74 · outbound

This paper cites Topological properties of individual gray matter morphological networks in identifying the preclinical stages of Alzheimer’s disease: a preliminary study.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Topological properties of individual gray matter morphological networks in identifying the preclinical stages of Alzheimer’s disease: a preliminary study

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:53.124552Z

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Observation 8b776459-4478-430b-94c0-35c9cb6f01c1 · outbound

This paper cites Interpretation of brain morphology in association to Alzheimer’s disease dementia classification using graph convolutional networks on triangulated meshes.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Interpretation of brain morphology in association to Alzheimer’s disease dementia classification using graph convolutional networks on triangulated meshes

Reference 28

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Observation 02624b12-aa3e-48c5-a322-19eb4ac55faa · outbound

This paper cites ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning ADAPT: Alzheimer Diagnosis through Adaptive Profiling Transformers

Reference 29

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This paper cites Embracing the disharmony in medical imaging: A simple and effective framework for domain adaptation.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Embracing the disharmony in medical imaging: A simple and effective framework for domain adaptation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:52.670071Z

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Observation 0191aa1c-1ce1-4e94-afde-f1cd88f47cfa · outbound

This paper cites Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:52.407519Z

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Observation 8a5a20f1-d372-4fd0-b5f8-7fbfa8650200 · outbound

This paper cites Towards better interpretable and generalizable ad detection using collective artificial intelligence.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Towards better interpretable and generalizable ad detection using collective artificial intelligence

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:52.103775Z

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Observation b41f77e6-8bc3-4f03-b294-97030fb21e98 · outbound

This paper cites Distance transform guided mixup for Alzheimer’s detection.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Distance transform guided mixup for Alzheimer’s detection

Reference 33

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Observation f40fd57a-8e09-46e9-a5e1-2c17b763c5c3 · outbound

This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Cutmix: Regularization strategy to train strong classifiers with localizable features

Reference 34

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Observation 0776abf8-e1c3-4ea2-8aca-7cfce8a1520f · outbound

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Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Unresolved cited work

Reference 35

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This paper cites Supervised contrastive learning.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Supervised contrastive learning

Reference 36

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Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Unresolved cited work

Reference 37

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Observation 48c9afb9-6f76-498d-b44f-ba149d6368f1 · outbound

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Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Unresolved cited work

Reference 38

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Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Unresolved cited work

Reference 39

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Observation f4b2ac04-c1d2-479b-b205-40ae77d023b1 · outbound

This paper cites Multimodal deep learning for Alzheimer’s disease dementia assessment.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Multimodal deep learning for Alzheimer’s disease dementia assessment

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:50.509046Z

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Observation 44e52e3a-0f66-4e64-8010-85b552f47cda · outbound

This paper cites Learning to learn single domain generalization.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Learning to learn single domain generalization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:50.355123Z

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Observation 39afe3d1-d85e-498c-b747-cdea70782554 · outbound

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Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Unresolved cited work

Reference 42

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This paper cites Huang, H.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Huang, H

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:49.958758Z

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Observation 40001632-5d4a-4f85-bd37-2ab3b8a67788 · outbound

This paper cites Exact feature distribution matching for arbitrary style transfer and domain generalization.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Exact feature distribution matching for arbitrary style transfer and domain generalization

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:49.824487Z

Source-reported events for the cited work

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Observation d20c7b1e-8dcc-4d7e-a9dd-6428d9118ca1 · outbound

This paper cites Devil is in channels: Contrastive single domain generalization for medical image segmentation.

Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning Devil is in channels: Contrastive single domain generalization for medical image segmentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:49.622202Z

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