Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:11:49.252100Z
Paper Citation Record · LEDGER
Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive Learning
As of 20 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2505.22465.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
45 of 45 outbound references displayed
- verified exact1
- verified fuzzy36
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 775d9cd5-ead7-469f-bf5d-89beeda91aae · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6af9d0d8-9d86-45af-b61f-cf243a849d78 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fc94e7c5-eea4-46ea-b38c-f74fb690b75f · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bb259f89-b1af-484c-82eb-b7590df1eb90 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b4bbd342-c892-4924-806e-94b02a7d7047 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ef668431-8fbf-4f25-b6f2-90b17bc6559f · outbound
This paper cites Lteif, S.
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:55.448565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:55.143337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 56777c30-71f0-4fd1-99b1-15183ff6d796 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 06f109e0-133c-4daa-8781-a837e003b27c · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:46.885953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:52.935553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:11:49.453889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8bbe48dd-1201-4657-8976-ad2347abcd02 · outbound
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:51.891040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:51.604545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0776abf8-e1c3-4ea2-8aca-7cfce8a1520f · 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 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:51.334000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 712bad70-1f57-46cc-82f2-8196054f27ff · outbound
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:48.431812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98fe949d-5091-4d5f-b883-38a647176c8e · 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 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:51.100262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 48c9afb9-6f76-498d-b44f-ba149d6368f1 · 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 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:50.909619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 879344d7-aca8-4c5a-a0d5-2db8a73a9dc2 · 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 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:50.666533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 39afe3d1-d85e-498c-b747-cdea70782554 · 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 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:50.133333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1950408a-88e2-4066-b9df-97573e322790 · outbound
This paper cites Huang, H.
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:49.958758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.