Paper Citation Record · LEDGER

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations

As of 13 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2411.13490.

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

pith.paper-citation-record.v1
2411.13490 v2

Coverage vector

measured 31 of 31 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 6e397e28-65aa-469e-b45a-b17f0e7f5a5a · outbound

This paper cites Transformed domain convolutional neural network for alzheimer’s disease diagnosis using structural mri.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Transformed domain convolutional neural network for alzheimer’s disease diagnosis using structural mri

Reference 1

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Observation 1dad438e-e9b4-4ca6-bdab-be649e301447 · outbound

This paper cites 3d seismic edge detection using magic squares and cubes.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations 3d seismic edge detection using magic squares and cubes

Reference 2

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Observation 35fc429a-c903-468f-a22a-8a987da2f783 · outbound

This paper cites Preclinical stage alzheimer’s disease detec- tion using magnetic resonance image scans.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Preclinical stage alzheimer’s disease detec- tion using magnetic resonance image scans

Reference 3

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This paper cites Memory_Profiler.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Memory_Profiler

Reference 4

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Observation 1c1b87cd-7088-46c9-8f89-ac9d1fe3cefa · outbound

This paper cites Detecting salt domes using a dip guided 3d sobel seismic attribute.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Detecting salt domes using a dip guided 3d sobel seismic attribute

Reference 5

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Observation cec8bd44-5871-41fe-a134-43095d1ffe56 · outbound

This paper cites V oxel-based morphome- try—the methods.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations V oxel-based morphome- try—the methods

Reference 6

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Observation bbb2b7c4-9d1c-4503-9817-626a3fa9a148 · outbound

This paper cites Advanced normalization tools (ants).

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Advanced normalization tools (ants)

Reference 7

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Observation 4333e538-d0a2-4a09-8299-83d0e1b07faa · outbound

This paper cites An explainable convolutional neural network for the early diagnosis of alzheimer’s disease from 18f-fdg pet.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations An explainable convolutional neural network for the early diagnosis of alzheimer’s disease from 18f-fdg pet

Reference 8

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This paper cites Brain templates and atlases.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Brain templates and atlases

Reference 9

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Observation d6c82864-f566-4748-900e-28035e6f58de · outbound

This paper cites The clinical use of struc- tural mri in alzheimer disease.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations The clinical use of struc- tural mri in alzheimer disease

Reference 10

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Observation e0c58423-b1c9-4f1a-ae65-646f5727fe2f · outbound

This paper cites Digital image processing: Pearson prentice hall.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Digital image processing: Pearson prentice hall

Reference 11

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Observation dabe3a88-c0a8-43ca-8d75-0bfba5eda00f · outbound

This paper cites A voxel-based morphometric study of ageing in 465 normal adult human brains.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations A voxel-based morphometric study of ageing in 465 normal adult human brains

Reference 12

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This paper cites Un- derwater man-made object prediction using line detection technique.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Un- derwater man-made object prediction using line detection technique

Reference 13

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Observation 9d44f658-505e-4fdf-8d0d-8fbaeda45853 · outbound

This paper cites Deep learning ap- proaches for covid-19 detection based on chest x-ray images.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Deep learning ap- proaches for covid-19 detection based on chest x-ray images

Reference 14

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Observation 9588bf75-7edd-4e1b-be4b-fc0488c7def8 · outbound

This paper cites Deep learning based detection and analysis of covid- 19 on chest x-ray images.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Deep learning based detection and analysis of covid- 19 on chest x-ray images

Reference 15

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Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Unresolved cited work

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This paper cites Design of an image edge detection filter using the so- bel operator.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Design of an image edge detection filter using the so- bel operator

Reference 17

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This paper cites The Linux programming interface: a Linux and UNIX system programming handbook.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations The Linux programming interface: a Linux and UNIX system programming handbook

Reference 18

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This paper cites Structural consequences of diffuse traumatic brain injury: a large deformation tensor-based morphometry study.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Structural consequences of diffuse traumatic brain injury: a large deformation tensor-based morphometry study

Reference 19

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Observation 38e315e9-232f-4232-a217-a0f05f1e4895 · outbound

This paper cites Oasis-3: longitudinal neuroimaging, clin- ical, and cognitive dataset for normal aging and alzheimer disease.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Oasis-3: longitudinal neuroimaging, clin- ical, and cognitive dataset for normal aging and alzheimer disease

Reference 20

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Observation 1902541d-748b-4589-a7e6-93f819e4b929 · outbound

This paper cites Correlation-aware coarse-to-fine mlps for deformable med- ical image registration.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Correlation-aware coarse-to-fine mlps for deformable med- ical image registration

Reference 21

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Observation 3a68c3f2-11a5-4e28-ab25-8c8a3b00f578 · outbound

This paper cites Diagnosing Alzheimer’s disease using early-late multimodal data fusion with Jacobian maps.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Diagnosing Alzheimer’s disease using early-late multimodal data fusion with Jacobian maps

Reference 22

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This paper cites Unmasking dementia detec- tion by masking input gradients: A JSM approach to model interpretability and precision.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Unmasking dementia detec- tion by masking input gradients: A JSM approach to model interpretability and precision

Reference 23

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This paper cites Vit-ae++: improving vision transformer autoencoder for self-supervised medical image representations.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Vit-ae++: improving vision transformer autoencoder for self-supervised medical image representations

Reference 24

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This paper cites The global prevalence of dementia: a systematic review and metaanal- ysis.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations The global prevalence of dementia: a systematic review and metaanal- ysis

Reference 25

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This paper cites Fast robust automated brain extraction.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Fast robust automated brain extraction

Reference 26

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Observation 7622292b-bf43-45b8-ba0e-851794cf785f · outbound

This paper cites A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to alzheimer’s disease.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to alzheimer’s disease

Reference 27

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This paper cites The alzheimer’s disease neuroimaging initiative: progress report and future plans.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations The alzheimer’s disease neuroimaging initiative: progress report and future plans

Reference 28

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Observation 18542bdc-2822-48a9-8fd0-30e62d959e71 · outbound

This paper cites V oxel-based morphometry: an auto- mated technique for assessing structural changes in the brain.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations V oxel-based morphometry: an auto- mated technique for assessing structural changes in the brain

Reference 29

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Observation 15fbee23-e6f9-4cde-bd2f-0343046c7527 · outbound

This paper cites A voxel-based method for the statistical analysis of gray and white matter density applied to schizophrenia.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations A voxel-based method for the statistical analysis of gray and white matter density applied to schizophrenia

Reference 30

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Observation 8d825d36-5beb-44af-81d6-1d22868cf8fb · outbound

This paper cites Deeptag: An unsupervised deep learning method for motion tracking on cardiac tagging magnetic resonance images.

Efficient Brain Imaging Analysis for Alzheimer's and Dementia Detection Using Convolution-Derivative Operations Deeptag: An unsupervised deep learning method for motion tracking on cardiac tagging magnetic resonance images

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:23:53.163241Z

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Pith citing papers

No inbound Pith citation observations are available.