Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:20:29.527653Z
Paper Citation Record · LEDGER
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning
As of 21 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2608.12185.
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 2026-08-21T06:32:19.484+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
57 of 57 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3996eebf-e31f-4cf3-924f-97a1605d0c99 · outbound
This paper cites Deep learning in neuroimaging data analysis: Applications, challenges, and solutions.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Deep learning in neuroimaging data analysis: Applications, challenges, and solutions
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f351d682-f46c-45df-b91d-b5186486a162 · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6aa57d9a-57df-4cbd-b6fd-cc20c3ee5902 · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning On the Opportunities and Risks of Foundation Models
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
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Observation 0387b35a-e508-414a-b90d-9ebcaba7ef09 · outbound
This paper cites Zero-shot text-to-image generation.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Zero-shot text-to-image generation
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c164404d-36b4-4e99-8ec5-4cc50dbef471 · outbound
This paper cites Language models are few-shot learners.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Language models are few-shot learners
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.435043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 061a9a92-b402-4595-9eb1-433d2c622969 · outbound
This paper cites GPT-4 Technical Report.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning GPT-4 Technical Report
Reference 6
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f76e604-3fc3-4788-84b5-00d753a4451e · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning High-resolution image synthesis with latent diffusion models
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.384419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 78ec75fb-0037-453f-99b8-3a23ff317f8e · outbound
This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63105055-b3f0-4622-8a19-5873bcc6c962 · outbound
This paper cites Foundation models for generalist medical artificial intelligence.Nature, 616(7956):259–265, 2023.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Foundation models for generalist medical artificial intelligence.Nature, 616(7956):259–265, 2023
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.363548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 827dd303-0481-4ead-914f-70993bbc2aec · outbound
This paper cites Representation learning: A review and new perspectives.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1798–1828, 2013.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Representation learning: A review and new perspectives.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1798–1828, 2013
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.330363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation be9674c9-e83c-4f8a-9c37-f28f878d7484 · outbound
This paper cites Multi-task neural networks for joint hippocampus segmentation and clinical score regression.Multimedia Tools and Applications, 77(22):29669–29686, 2018.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Multi-task neural networks for joint hippocampus segmentation and clinical score regression.Multimedia Tools and Applications, 77(22):29669–29686, 2018
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.287933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 6b82fc17-6161-4e4d-9302-fb5d87784846 · outbound
This paper cites A fully automated multimodal mri-based multi-task learning for glioma segmentation and idh genotyping.IEEE Transactions on Medical Imaging, 2022.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning A fully automated multimodal mri-based multi-task learning for glioma segmentation and idh genotyping.IEEE Transactions on Medical Imaging, 2022
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.250809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 483547ec-a5a8-47db-b0cc-287c8186e6a1 · outbound
This paper cites A multi-task learning framework for automated segmen- tation and classification of breast tumors from ultrasound images.Ultrasonic Imaging, 44(1):3–12, 2022.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning A multi-task learning framework for automated segmen- tation and classification of breast tumors from ultrasound images.Ultrasonic Imaging, 44(1):3–12, 2022
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.223984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 586af8c5-85d4-41e1-a1d8-a8e965cb3fac · outbound
This paper cites A feature transfer enabled multi-task deep learning model on medical imaging.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning A feature transfer enabled multi-task deep learning model on medical imaging
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.188968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d3fc83a3-f2e7-4d8b-9612-8b6d4deb1362 · outbound
This paper cites Eis-net: Segmenting early infarct and scoring aspects simultaneously on non-contrast ct of patients with acute ischemic stroke.Medical Image Analysis, 70:101984, 2021.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Eis-net: Segmenting early infarct and scoring aspects simultaneously on non-contrast ct of patients with acute ischemic stroke.Medical Image Analysis, 70:101984, 2021
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.151737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f54250df-2e11-4e59-964a-e3ae762368bf · outbound
This paper cites Multi-task knowledge distillation for eye disease prediction.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Multi-task knowledge distillation for eye disease prediction
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.102377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 60cf1d48-25e5-4e50-a579-5ebb5c81dff6 · outbound
This paper cites Canet: cross-disease attention network for joint diabetic retinopathy and diabetic macular edema grading.IEEE Transactions on Medical Imaging, 39(5):1483–1493, 2019.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Canet: cross-disease attention network for joint diabetic retinopathy and diabetic macular edema grading.IEEE Transactions on Medical Imaging, 39(5):1483–1493, 2019
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.056160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 42680e99-7ee7-4ca7-a088-91b2d09b4597 · outbound
This paper cites Deep learning of imaging phenotype and genotype for predicting overall survival time of glioblastoma patients.IEEE Transactions on Medical Imaging, 39(6):2100–2109, 2020.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Deep learning of imaging phenotype and genotype for predicting overall survival time of glioblastoma patients.IEEE Transactions on Medical Imaging, 39(6):2100–2109, 2020
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:31.015157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dfc20d80-b61b-4df9-a342-25ea06d245a5 · outbound
This paper cites Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images.Neural Networks, 152:394–406, 2022.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images.Neural Networks, 152:394–406, 2022
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.971795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a4ec07ed-0825-4f9c-aab9-dcaa97174d3d · outbound
This paper cites Meta-matching as a simple framework to translate phenotypic predictive models from big to small data.Nature Neuroscience, 25(6):795–804, 2022.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Meta-matching as a simple framework to translate phenotypic predictive models from big to small data.Nature Neuroscience, 25(6):795–804, 2022
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.936770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cd1f9b3a-4110-4fe3-8478-8b2b3c762931 · outbound
This paper cites Brainiac: A foundation model for generalized brain mri analysis.medRxiv,.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Brainiac: A foundation model for generalized brain mri analysis.medRxiv,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.894252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bab318b8-ad12-4ea1-a846-df401bf88799 · outbound
This paper cites Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c36c448f-7b44-4ed9-b79e-bc3e68c13694 · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T00:20:30.868765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 062b1bc6-c5eb-4986-a997-9ab6d81431bf · outbound
This paper cites Triad: Vision foundation model for 3d magnetic resonance imaging.Research Square (Preprint), 03 2025.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Triad: Vision foundation model for 3d magnetic resonance imaging.Research Square (Preprint), 03 2025
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3291eb77-0011-4e00-8b03-f230a4488bac · outbound
This paper cites Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
Reference 25
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ad4e1f78-0788-400c-84c2-f070fae1f96c · outbound
This paper cites BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning BrainSegFounder: Towards 3D Foundation Models for Neuroimage Segmentation
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14907adc-1466-47c6-8fff-06cfa689a718 · outbound
This paper cites Lamim: Medical image foundation models in assisting diagnosis of brain tumors: a pilot study.European Radiology, 2024.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Lamim: Medical image foundation models in assisting diagnosis of brain tumors: a pilot study.European Radiology, 2024
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.800125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 110612d3-3d29-4cf8-aec6-128206afd1c5 · outbound
This paper cites Synthseg: Segmentation of brain mri scans of any contrast and resolution without retraining.Medical Image Analysis, 86:102789, 2023.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Synthseg: Segmentation of brain mri scans of any contrast and resolution without retraining.Medical Image Analysis, 86:102789, 2023
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.768562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 48b62871-a53a-41de-bed6-54e75ccbbb54 · outbound
This paper cites Model Zoo: A Growing "Brain" That Learns Continually.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Model Zoo: A Growing "Brain" That Learns Continually
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f5b7ee9-d402-4a4b-a2ce-b7cc04f28166 · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eff7a438-9692-4ac4-b5f7-b8f90b54c359 · outbound
This paper cites Assessing brain and biological aging trajectories associated with alzheimer’s disease.Frontiers in Neuroscience, 16, 2022.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Assessing brain and biological aging trajectories associated with alzheimer’s disease.Frontiers in Neuroscience, 16, 2022
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.709045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3fe11b45-5d95-4858-a47c-e60dd3acf4f4 · outbound
This paper cites Cardiometabolic risk factors associated with brain age and accelerate brain ageing.Human Brain Mapping, 43(2):700–720, 2022.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Cardiometabolic risk factors associated with brain age and accelerate brain ageing.Human Brain Mapping, 43(2):700–720, 2022
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.684846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1402b7c4-e2b6-4d4b-9c4c-6e48ad916917 · outbound
This paper cites Prediction of brain age suggests accelerated atrophy after traumatic brain injury.Annals of Neurology, 77(4):571–581, 2015.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Prediction of brain age suggests accelerated atrophy after traumatic brain injury.Annals of Neurology, 77(4):571–581, 2015
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.659846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dd7d56a6-0990-4530-bf03-d15e18189174 · outbound
This paper cites Mri signatures of brain age and disease over the lifespan based on a deep brain network and 14,468 individuals worldwide.Brain, 143(7):2312–2324, 2020.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Mri signatures of brain age and disease over the lifespan based on a deep brain network and 14,468 individuals worldwide.Brain, 143(7):2312–2324, 2020
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.613440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b492a8e5-fcc7-481f-baef-223218b7cdf9 · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T00:20:30.591054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 43cd737a-bed2-4285-b84e-f993cfbe4547 · outbound
This paper cites Grad-cam++: Gen- eralized gradient-based visual explanations for deep convolutional networks.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Grad-cam++: Gen- eralized gradient-based visual explanations for deep convolutional networks
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.566395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1267812e-6000-4483-8e9f-2bc9bde9bb2c · outbound
This paper cites The wisconsin registry for alzheimer’s prevention: a review of findings and current directions.Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 10:130–142, 2018.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning The wisconsin registry for alzheimer’s prevention: a review of findings and current directions.Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 10:130–142, 2018
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.537903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 454740ce-6040-4510-8a68-4c54552305a4 · outbound
This paper cites Cognitive changes preceding clinical symptom onset of mild cognitive impairment and relationship to apoe genotype.Current Alzheimer Research, 11(8):773–784, 2014.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Cognitive changes preceding clinical symptom onset of mild cognitive impairment and relationship to apoe genotype.Current Alzheimer Research, 11(8):773–784, 2014
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.508056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation aa6bbb62-0360-4ec0-82c3-d92d20a88095 · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T00:20:30.478717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 966fbd72-5f88-4cca-ada7-94eea42c16cd · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T00:20:30.438901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 841af593-43ef-458a-b3d0-98c394d5c0cd · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T00:20:30.405721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 110b8298-2e08-487a-af61-a8d48e04f72b · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T00:20:30.373875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 24255777-6a56-4a6d-9124-3252a1c37b47 · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T00:20:30.348363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 316ccafa-8cbe-4a7c-b9d2-3f35cd261021 · outbound
This paper cites The baltimore longitudinal study of aging (blsa): A 50-year-long journey and plans for the future.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning The baltimore longitudinal study of aging (blsa): A 50-year-long journey and plans for the future
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.310122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e161be6f-8959-4b85-b54b-51b65609fac3 · outbound
This paper cites an unresolved cited work.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T00:20:30.264591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 51d78e5e-02d1-437a-a4c4-e9e5be28537b · outbound
This paper cites Postmenopausal hormone therapy and regional brain volumes: The whims-mri study.Neurology, 72(2):135–142, 2009.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Postmenopausal hormone therapy and regional brain volumes: The whims-mri study.Neurology, 72(2):135–142, 2009
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.230925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4a2b1d11-1903-436d-a2bf-cfa76ff1e866 · outbound
This paper cites The alzheimer’s disease neuroimaging initiative: Progress report and future plans.Alzheimer’s & Dementia, 6(3):202–211.e7, 2010.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning The alzheimer’s disease neuroimaging initiative: Progress report and future plans.Alzheimer’s & Dementia, 6(3):202–211.e7, 2010
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.196731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a1142edb-3cdc-42e8-8832-35c48e2615fd · outbound
This paper cites The alzheimer’s disease neuroimaging initiative (adni): Mri methods.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning The alzheimer’s disease neuroimaging initiative (adni): Mri methods
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.159947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3432860e-bc58-4b07-a6e1-715e0db078c6 · outbound
This paper cites Image processing and quality control for the first 10,000 brain imaging datasets from uk biobank.NeuroImage, 166:400–424, 2018.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Image processing and quality control for the first 10,000 brain imaging datasets from uk biobank.NeuroImage, 166:400–424, 2018
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.138207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5873f4de-eadd-41af-8d3e-bbd71751fe20 · outbound
This paper cites Lea & Febiger, Philadelphia, 1983.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Lea & Febiger, Philadelphia, 1983
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.118138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c3afd477-4483-444a-8ae0-150f9a38b571 · outbound
This paper cites A new clinical scale for the staging of dementia.The British Journal of Psychiatry, 140(6):566–572, 1982.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning A new clinical scale for the staging of dementia.The British Journal of Psychiatry, 140(6):566–572, 1982
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.092849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0c430e6c-1bd6-4f76-9674-f432dfd53ae4 · outbound
This paper cites mini-mental state.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning mini-mental state
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.069651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f65f6cd2-0f80-473e-9a1a-3a0eee93fabb · outbound
This paper cites Squeeze-and-excitation networks.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Squeeze-and-excitation networks
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:30.033979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 846b30d5-c3d1-4315-a37d-0be1183f66d6 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Adam: A Method for Stochastic Optimization
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:20:29.498467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 058be141-0998-4cc6-90d6-e417301850a6 · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Pytorch: An imperative style, high-performance deep learning library
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:29.996565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 33ef655a-6c83-40ce-8a45-c256a6ba8169 · outbound
This paper cites MONAI: An open-source framework for deep learning in healthcare.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning MONAI: An open-source framework for deep learning in healthcare
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:20:29.514988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 982e5fb2-3019-47ef-91ae-33304aa47524 · outbound
This paper cites Pytorch lightning.
GenFAR: A generalized representation of brain structure, derived from 49,246 multi-cohort MRIs via deep learning Pytorch lightning
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T00:20:29.975071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.