Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment | Paper Citation Record

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This paper cites Depression in late life: Review and commentary,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Depression in late life: Review and commentary,

Reference 1

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This paper cites The vascular depression hypothesis: 10 years later,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment The vascular depression hypothesis: 10 years later,

Reference 2

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This paper cites Neuroanatomical substrates of depression in the elderly,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Neuroanatomical substrates of depression in the elderly,

Reference 3

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This paper cites Depression, hippocampal volume changes, and cognitive decline in a clinical sample of older depressed outpatients and non- depressed controls,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Depression, hippocampal volume changes, and cognitive decline in a clinical sample of older depressed outpatients and non- depressed controls,

Reference 4

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This paper cites Neuroimaging in dementia: A practical guide,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Neuroimaging in dementia: A practical guide,

Reference 5

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This paper cites White matter hyperintensities in late life depression: A systematic review,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment White matter hyperintensities in late life depression: A systematic review,

Reference 6

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This paper cites A systematic review and meta-analysis of magnetic resonance imaging studies 12 in late-life depression,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment A systematic review and meta-analysis of magnetic resonance imaging studies 12 in late-life depression,

Reference 7

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This paper cites Brain age prediction using deep learning uncovers associated sequence variants,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Brain age prediction using deep learning uncovers associated sequence variants,

Reference 8

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Observation cbd740a4-76e2-4d67-9a1e-90f90581ff87 · outbound

This paper cites Deep-Learning methods for par- allel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Deep-Learning methods for par- allel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues,

Reference 9

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Observation 12cea85d-70e6-4ac7-a3e7-b69cbebddce5 · outbound

This paper cites The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment The reliability of a deep learning model in clinical out-of-distribution MRI data: A multicohort study,

Reference 10

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This paper cites Convolutional neural networks for classification of Alzheimer’s disease: Overview and reproducible evaluation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Convolutional neural networks for classification of Alzheimer’s disease: Overview and reproducible evaluation,

Reference 11

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This paper cites Promises and pitfalls of deep neural networks in neuroimaging-based psy- chiatric research,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Promises and pitfalls of deep neural networks in neuroimaging-based psy- chiatric research,

Reference 12

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This paper cites Unsupervised domain adaptation by backpropagation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Unsupervised domain adaptation by backpropagation,

Reference 13

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This paper cites Domain adaptation and gner- alization of functional medical data: A systematic survey of brain data,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Domain adaptation and gner- alization of functional medical data: A systematic survey of brain data,

Reference 14

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This paper cites DomainATM: Domain adaptation toolbox for medical data analysis,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment DomainATM: Domain adaptation toolbox for medical data analysis,

Reference 15

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This paper cites Learning transferable features with deep adaptation networks,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Learning transferable features with deep adaptation networks,

Reference 16

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This paper cites Self-ensembling for visual domain adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Self-ensembling for visual domain adaptation,

Reference 17

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This paper cites MixMatch: A holistic approach to semi- supervised learning,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment MixMatch: A holistic approach to semi- supervised learning,

Reference 18

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This paper cites Unsuper- vised cross-modality domain adaptation of ConvNets for biomed- ical image segmentations with adversarial loss,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Unsuper- vised cross-modality domain adaptation of ConvNets for biomed- ical image segmentations with adversarial loss,

Reference 19

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This paper cites Disease-image-specific learn- ing for diagnosis-oriented neuroimage synthesis with incomplete multi-modality data,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Disease-image-specific learn- ing for diagnosis-oriented neuroimage synthesis with incomplete multi-modality data,

Reference 20

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This paper cites Transfer learning for Alzheimer’s disease through neuroimaging biomarkers: A systematic review,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Transfer learning for Alzheimer’s disease through neuroimaging biomarkers: A systematic review,

Reference 21

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This paper cites Transfer learning based efficient schizophrenia classification on electroencephalogram (EEG) Signals: A cross-dataset study,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Transfer learning based efficient schizophrenia classification on electroencephalogram (EEG) Signals: A cross-dataset study,

Reference 22

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This paper cites Multi-adversarial domain adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Multi-adversarial domain adaptation,

Reference 23

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This paper cites Adversarial domain adaptation with domain mixup,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Adversarial domain adaptation with domain mixup,

Reference 24

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This paper cites Domain-adaptive few-shot learning,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Domain-adaptive few-shot learning,

Reference 25

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This paper cites Un- supervised domain adaptation for medical imaging segmentation with self-ensembling,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Un- supervised domain adaptation for medical imaging segmentation with self-ensembling,

Reference 26

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 27

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This paper cites Deep residual learning for image recognition,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Deep residual learning for image recognition,

Reference 28

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This paper cites Pathways linking late-life depression to persistent cognitive impairment and dementia,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Pathways linking late-life depression to persistent cognitive impairment and dementia,

Reference 29

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Observation a4634dc0-f934-4a30-a963-25042de21b1a · outbound

This paper cites Vascular disease and future risk of depressive symptomatology in older adults: Findings from the health, aging, and body composition study,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Vascular disease and future risk of depressive symptomatology in older adults: Findings from the health, aging, and body composition study,

Reference 30

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Observation 81bc8f9d-6f3e-433e-90e2-a2150a63f052 · outbound

This paper cites Gray matter abnormalities in major depressive disorder: A meta-analysis of voxel based morphometry studies,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Gray matter abnormalities in major depressive disorder: A meta-analysis of voxel based morphometry studies,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.134827Z

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This paper cites Gray matter volume in major depressive disorder: A meta-analysis of voxel-based morphometry studies,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Gray matter volume in major depressive disorder: A meta-analysis of voxel-based morphometry studies,

Reference 32

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Observation 19b8b7a7-3753-49f0-a319-f0c58856ffb3 · outbound

This paper cites Serotonin transporter polymorphisms, microstructural white matter abnormalities and remission of geri- atric depression,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Serotonin transporter polymorphisms, microstructural white matter abnormalities and remission of geri- atric depression,

Reference 33

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Observation 4e057216-a3e2-4eb1-9f9f-05748546e5d8 · outbound

This paper cites Anterior cingulate cortical volumes and treatment remission of geriatric depression,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Anterior cingulate cortical volumes and treatment remission of geriatric depression,

Reference 34

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Observation a7682ed6-ecc0-4cb1-962d-41c5084491fc · outbound

This paper cites Cognition in late-life depression: treatment considerations,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Cognition in late-life depression: treatment considerations,

Reference 35

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Observation 688f018e-cdcc-4311-8e25-b3a9f3d17037 · outbound

This paper cites Structural neuroimaging of geri- atric depression,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Structural neuroimaging of geri- atric depression,

Reference 36

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Observation a7c1e726-7ec1-46f1-bc5b-55f4e768f777 · outbound

This paper cites The vascular depression hypothesis: Mechanisms linking vascular disease with depression,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment The vascular depression hypothesis: Mechanisms linking vascular disease with depression,

Reference 37

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Observation 8f3c312d-4bda-4ed9-9dcb-91f23d167d4a · outbound

This paper cites Hippocampal volumes and the brain-derived neurotrophic factor val66met polymorphism in geriatric major depression,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Hippocampal volumes and the brain-derived neurotrophic factor val66met polymorphism in geriatric major depression,

Reference 38

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Observation 6e93cbfb-e07b-4afe-a06b-119fa9e6710f · outbound

This paper cites Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics

Reference 39

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Observation b916882d-749f-477d-a1f6-7f22be06ae8d · outbound

This paper cites Disrupted intrinsic functional brain network in patients with late-life depression: Evidence from a multi-site dataset,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Disrupted intrinsic functional brain network in patients with late-life depression: Evidence from a multi-site dataset,

Reference 40

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This paper cites Transfer learning for domain adaptation in MRI: Application in brain lesion segmentation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Transfer learning for domain adaptation in MRI: Application in brain lesion segmentation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.082148Z

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Observation ea8f724e-5c13-45b5-8c88-52c871c7ea43 · outbound

This paper cites Detect and correct bias in multi-site neuroimaging datasets,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Detect and correct bias in multi-site neuroimaging datasets,

Reference 42

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Observation c5ed3fae-1875-42f6-aaef-5498b108f25b · outbound

This paper cites Learn to ignore: Domain adaptation for multi-site MRI analysis,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Learn to ignore: Domain adaptation for multi-site MRI analysis,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.068188Z

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Observation 743d09ce-8d53-4eff-9031-571f4ccadc6a · outbound

This paper cites Adversarial discriminative domain adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Adversarial discriminative domain adaptation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.062651Z

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Observation f835fafc-31ba-433f-b886-9582ca51cf3b · outbound

This paper cites Disentangled representation and cross-modality image translation based unsupervised domain adaptation method for abdominal organ segmentation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Disentangled representation and cross-modality image translation based unsupervised domain adaptation method for abdominal organ segmentation,

Reference 45

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Observation bf69b530-de01-4e0c-895f-25d6e689f75d · outbound

This paper cites Unsupervised domain adaptation in brain lesion segmentation with adversarial networks,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Unsupervised domain adaptation in brain lesion segmentation with adversarial networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.051256Z

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Observation 630a4273-bcc1-41a4-a587-b2eeecbce44c · outbound

This paper cites ADVENT: Adversarial entropy minimization for domain adaptation in se- mantic segmentation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment ADVENT: Adversarial entropy minimization for domain adaptation in se- mantic segmentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.045606Z

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Observation 5466ad68-14bc-4740-97fe-c1e6db977d45 · outbound

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

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Multi-site mri harmonization via attention-guided deep domain adaptation for brain disorder identification,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.039863Z

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Observation 1672bf39-e991-40aa-aa85-d5574f5ae885 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 49

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Observation 0b302c86-d944-4c57-b5d4-4423c9dbfa7a · outbound

This paper cites UNETR: Transformers for 3D medical image segmentation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment UNETR: Transformers for 3D medical image segmentation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.034246Z

Source-reported events for the cited work

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Observation 9e8eb1f4-e27a-4299-8740-a7fd18411ff4 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.027268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 909b4657-537a-42b3-9b6d-ff86290f9436 · outbound

This paper cites Self-challenging improves cross-domain generalization,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Self-challenging improves cross-domain generalization,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.021423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4eca7f4c-a8e1-4c03-8027-7d2eea9a5b8f · outbound

This paper cites Combining labeled and unlabeled data with co-training,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Combining labeled and unlabeled data with co-training,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.015325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75b36aa7-e13c-4c1d-aa12-2afc29d06035 · outbound

This paper cites A DIRT-T approach to unsupervised domain adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment A DIRT-T approach to unsupervised domain adaptation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.009346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66c971f9-7ca8-425f-9454-c59501437a25 · outbound

This paper cites Universal domain adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Universal domain adaptation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:50.003760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0e51e86-b0ab-4818-b7e4-9a4c7cfa9290 · outbound

This paper cites Unsupervised domain adaptation via structurally regularized deep clustering,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Unsupervised domain adaptation via structurally regularized deep clustering,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.998590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9707a869-c5a7-4895-b30a-e5f7189ef5a3 · outbound

This paper cites Dual-stream representation fusion learning for accurate medical image segmen- tation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Dual-stream representation fusion learning for accurate medical image segmen- tation,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.992732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d9d2a59a-143c-4f2e-8925-f4faf5321186 · outbound

This paper cites A multi-view contrastive learning and semi-supervised self-distillation framework for early recurrence prediction in ovarian cancer,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment A multi-view contrastive learning and semi-supervised self-distillation framework for early recurrence prediction in ovarian cancer,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.986105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 036f74de-6a40-4f0d-b741-94e437c50016 · outbound

This paper cites Learning CNN on ViT: A hybrid model to explicitly class-specific boundaries for domain adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Learning CNN on ViT: A hybrid model to explicitly class-specific boundaries for domain adaptation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.979890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8ec179b-3e93-4183-8f96-ca795ad565b8 · outbound

This paper cites Negative affectivity, aging, and depression: Results from the neu- robiology of late-life depression (NBOLD) study,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Negative affectivity, aging, and depression: Results from the neu- robiology of late-life depression (NBOLD) study,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.974198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b9496e7-1ba1-4f71-8047-d89f8b09ce43 · outbound

This paper cites The NCODE study: Clinical characteristics and longitudinal outcomes of depressed older adults,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment The NCODE study: Clinical characteristics and longitudinal outcomes of depressed older adults,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.968433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c0e7c8b-6d9f-41f5-857d-e68b1ccc6091 · outbound

This paper cites N4ITK: Improved N3 bias correction,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment N4ITK: Improved N3 bias correction,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.963077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8d567ec-9a46-4242-9b07-0400c88af00a · outbound

This paper cites A reproducible evaluation of ANTs similarity metric performance in brain image registration,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment A reproducible evaluation of ANTs similarity metric performance in brain image registration,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.955658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef7f4c7c-e3a7-4bbe-b515-f669f5778742 · outbound

This paper cites Automated anatomical labelling atlas 3,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Automated anatomical labelling atlas 3,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.950100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76873c42-8b26-4339-8c6c-6e70a49427c5 · outbound

This paper cites FreeSurfer,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment FreeSurfer,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.942895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d707c59-6437-4d15-a8d4-da67c27fddd0 · outbound

This paper cites TorchIO: A python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment TorchIO: A python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.937461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3130e629-2e4c-4ac2-9cd5-8e4fed339f32 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment MONAI: An open-source framework for deep learning in healthcare

Reference 67

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Source-reported events for the cited work

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Observation 7811eb92-8584-4686-ac26-c3a1f69d1f04 · outbound

This paper cites Focal loss for dense object detection,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Focal loss for dense object detection,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.931652Z

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Observation c70397d7-c7a3-462b-9562-bd4338134093 · outbound

This paper cites Maximum classifier discrepancy for unsupervised domain adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Maximum classifier discrepancy for unsupervised domain adaptation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.925592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 947873a1-c44d-4e87-827e-c56b44e76c3b · outbound

This paper cites The Jensen- Shannon divergence,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment The Jensen- Shannon divergence,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.919884Z

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Observation a0855871-6111-4c70-829b-16a535d4c2bb · outbound

This paper cites On information and sufficiency,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment On information and sufficiency,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.913895Z

Source-reported events for the cited work

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Observation 08fc55bf-80ac-4b71-856b-c29dd59795f6 · outbound

This paper cites Training data-efficient image transformers & distil- lation through attention,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Training data-efficient image transformers & distil- lation through attention,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.907332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57bb8127-aa1f-448d-82e5-ef6c89f6ce34 · outbound

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

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Training ViT with limited data for Alzheimer’s disease classification: An empirical study,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.901415Z

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Observation 292b26a4-9ea0-41b4-bb57-a01b77d03e90 · outbound

This paper cites The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.894919Z

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Observation 5e729eac-e154-47d0-bbba-af81c61221be · outbound

This paper cites Brain anatomy prior modeling to forecast clinical progression of cognitive impairment with structural MRI,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Brain anatomy prior modeling to forecast clinical progression of cognitive impairment with structural MRI,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.889693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e8eb627-74d5-4404-8a61-4865a0821e83 · outbound

This paper cites Stochastic gradient descent tricks,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Stochastic gradient descent tricks,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.883860Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3db8602a-c55f-4397-b189-6c3d71b09d03 · outbound

This paper cites Survey on multiclass classification methods,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Survey on multiclass classification methods,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.876980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04e0bf6c-d26b-4dc8-b6d7-d64949431502 · outbound

This paper cites Domain adaptation via transfer component analysis,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Domain adaptation via transfer component analysis,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.869053Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 19127bc8-5430-4baa-b672-9609398ae111 · outbound

This paper cites Transfer feature learning with joint distribution adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Transfer feature learning with joint distribution adaptation,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.862018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c5c6aa3-9c4b-447f-a840-5028561a3a70 · outbound

This paper cites Scatter component analysis: A unified framework for domain adaptation and domain generalization,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Scatter component analysis: A unified framework for domain adaptation and domain generalization,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.855582Z

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Observation d26271e5-d454-487d-a634-3b49cf274428 · outbound

This paper cites Deep CORAL: Correlation alignment for deep domain adaptation,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Deep CORAL: Correlation alignment for deep domain adaptation,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.848995Z

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Observation 8a385afc-c51e-49f4-b94b-ce61c861f3d9 · outbound

This paper cites Transfer learning with dynamic adversarial adaptation network,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Transfer learning with dynamic adversarial adaptation network,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.842913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7945a5b3-2587-4fca-8916-4c01158cc72f · outbound

This paper cites Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Towards discriminability and diversity: Batch nuclear-norm maximization under label insufficient situations,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.836880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28eec30e-0f3d-46c2-bf45-549fc5dd387e · outbound

This paper cites Deep subdomain adaptation network for image classification,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Deep subdomain adaptation network for image classification,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.830632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 35ede0a5-b9e1-4bae-acb0-b87d1c7dd04b · outbound

This paper cites Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer,.

Learning from Heterogeneous Structural MRI via Collaborative Domain Adaptation for Late-Life Depression Assessment Source data-absent unsupervised domain adaptation through hypothesis transfer and labeling transfer,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:53:49.823379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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