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Paper Citation Record · LEDGER

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities

As of 19 August 2026, this Paper Citation Record lists 100 of 299 outbound references and 0 inbound Pith citation observations for arXiv:2505.00525.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.00525 v1

Coverage vector

measured 100 of 299 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:42:56.035443Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 299 outbound references displayed

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Outbound references

Observation e12796e4-18de-4117-8dc8-bc26363a72d1 · outbound

This paper cites Parkinson’s disease from an ayurveda per- spective: Opportunities and challenges for further research.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Parkinson’s disease from an ayurveda per- spective: Opportunities and challenges for further research

Reference 1

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Observation bac89729-c93c-4830-aed0-53b3f2b8d73b · outbound

This paper cites Parkinson’s disease: mechanisms and models.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Parkinson’s disease: mechanisms and models

Reference 2

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This paper cites Assessment of parkinson disease manifestations.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Assessment of parkinson disease manifestations

Reference 3

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This paper cites Accuracy of clinical di- agnosis of parkinson disease: a systematic review and meta-analysis.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Accuracy of clinical di- agnosis of parkinson disease: a systematic review and meta-analysis

Reference 4

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This paper cites A hybrid system for parkinson’s disease diagnosis using machine learning techniques.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities A hybrid system for parkinson’s disease diagnosis using machine learning techniques

Reference 5

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This paper cites Patient-centered brain transcriptomic and multimodal imaging determinants of clinical progression, physical activity, and treatment needs in parkinson’s disease.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Patient-centered brain transcriptomic and multimodal imaging determinants of clinical progression, physical activity, and treatment needs in parkinson’s disease

Reference 6

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Unresolved cited work

Reference 7

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Observation 9e00209d-0a41-4d86-8442-3585712f878f · outbound

This paper cites Application of deep learning models for automated identification of parkinson’s disease: A review (2011-2021).

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Application of deep learning models for automated identification of parkinson’s disease: A review (2011-2021)

Reference 8

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This paper cites Mukherjee, Z.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Mukherjee, Z

Reference 9

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This paper cites Gründer, T.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Gründer, T

Reference 10

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This paper cites Pahuja and T.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Pahuja and T

Reference 11

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Pahuja and B

Reference 12

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Unresolved cited work

Reference 13

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This paper cites Parkinson’s disease: Deep learning with a parameter-weighted structural connectome matrix for diagnosis and neural circuit disorder investigation.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Parkinson’s disease: Deep learning with a parameter-weighted structural connectome matrix for diagnosis and neural circuit disorder investigation

Reference 14

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Shinde, S

Reference 17

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Reference 18

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This paper cites https://www.ucl.ac.uk/drc/researchclinical-trials/ minimal-interval-resonance-imaging-alzheimers-disease-miriad, 2024.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities https://www.ucl.ac.uk/drc/researchclinical-trials/ minimal-interval-resonance-imaging-alzheimers-disease-miriad, 2024

Reference 19

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Machine learning for neurodegenerative disorder diagnosis—survey of practices and launch of benchmark dataset

Reference 20

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This paper cites london heath sciences center parkinson’s disease dataset (lhscpd).

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities london heath sciences center parkinson’s disease dataset (lhscpd)

Reference 21

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Moon, H.-J

Reference 22

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities El Maachi, G.-A

Reference 23

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Muniz, H

Reference 25

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Pfister, T.T

Reference 26

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Eskofier, S.I

Reference 27

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Ricci, G

Reference 28

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Talitckii, E

Reference 29

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Wahid, R

Reference 30

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Procházka, O

Reference 32

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Drotár, J

Reference 35

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Shaban, B

Reference 37

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Naseer, M

Reference 38

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Kamran, S

Reference 39

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Parkinson’s desease detection by multimodal analysis combining handwriting and speech signals

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities A systematic review of the literature on disorders of sleep and wakefulness in parkinson’s disease from 2005 to 2015

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities A survey on computer- assisted parkinson’s disease diagnosis.Artificial intelligence in medicine, 95:48–63, 2019

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Recent survey on parkinson disease diagnose using deep learning mechanism

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Advances in parkinson’s disease detection and assessment using voice and speech: A review of the articulatory and phonatory aspects

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Exploiting image processing and ai for neurological disorder diagnosis: A focus on alzheimer’s and parkinson’s diseases

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Detection and assessment of parkinson’s disease based on gait analysis: A survey

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Imperative role of machine learning algorithm for detection of parkinson’s disease: review, challenges and recommendations

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Deep learning for parkinson’s disease diagnosis: a short survey

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Enhancing parkinson’s disease diagnosis through deep learning-based classification of 3d mri images

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Identification of depression subtypes in parkinson’s disease patients via structural mri whole-brain radiomics: An unsupervised ma- chine learning study

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Individ- ualized diagnosis of parkinson’s disease based on multivariate magnetic resonance imaging radiomics and clinical indexes

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities The role of explainable artificial intel- ligence in disease prediction: a systematic literature review and future research directions

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Artificial intelligence-enabled detection and assessment of parkinson’s disease using multimodal data: A survey

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Optimal dose and type of exercise improve walking velocity in adults with parkinson’s disease: a system- atic review and bayesian network meta-analysis

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Analysis of voice, speech, and language biomarkers of parkinson’s dis- ease collected in a mixed reality setting

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Activity and behavioral recognition using sensing technology in persons with parkinson’s disease or dementia: An umbrella review of the literature

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Review on computational methods for the detection and classification of parkinson’s disease

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Bridging micro and macro: accurate registration of the bigbrain dataset with the mni pd25 and icbm152 atlases

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities A review of machine learning and deep learning algorithms for parkinson’s disease detection using handwriting and voice datasets

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities A large public dataset of annotated clinical mris and metadata of patients with acute stroke

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This paper cites Parkinson’s image detection and classification based on deep learning.

A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Parkinson’s image detection and classification based on deep learning

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Sangeetha, K

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Zhang, Y

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Camacho, M

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Mathys et al

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Pereira, S.A

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities De- tection of parkinson’s disease from 3t t1 weighted mri scans using 3d convolutional neural network

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Prasuhn, M

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Multi-modality radiomics of conventional t1 weighted and diffusion tensor imaging for differentiat- ing parkinson’s disease motor subtypes in early-stages

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Automatic diagnosis of parkinson’s disease using artificial intelligence base on routine t1-weighted mri

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities A novel technique for classifying parkinson’s disease using structural mri scans.Multimedia Tools and Applications, 82(29):46011–46036, 2023

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Altunisik et al

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Sahu and R

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Observation 6ab421cc-8c38-4bfd-a9e2-317cc990b3a8 · outbound

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Advanced parkinson’s disease detection: A comprehensive artificial intelligence approach utilizing clinical assess- ment and neuroimaging samples

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities Explainable classification of parkinson’s disease using deep learning trained on a large multi-center database of t1-weighted mri datasets

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A Methodological and Structural Review of Parkinsons Disease Detection Across Diverse Data Modalities A fully automated approach in- volving neuroimaging and deep learning for parkinson’s disease detection and severity prediction

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