Paper Citation Record · LEDGER

3DSiameseNet to Analyze Brain MRI

As of 23 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1909.01098.

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

pith.paper-citation-record.v1
1909.01098 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:32:06.040988Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

verified exact1
verified fuzzy14
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71a43172-64b4-4db1-8575-baaf284d505b · outbound

This paper cites The clinical use of structural mri in alzheimer disease,.

3DSiameseNet to Analyze Brain MRI The clinical use of structural mri in alzheimer disease,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.252399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0386031d-4263-4ba7-ba07-27bb76159c30 · outbound

This paper cites Modeling and prediction of clinical symptom trajectories in alzheimers disease using longitu- dinal data,.

3DSiameseNet to Analyze Brain MRI Modeling and prediction of clinical symptom trajectories in alzheimers disease using longitu- dinal data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.242785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a009a97-0af5-4c13-a1cf-c2155f75455f · outbound

This paper cites Gradient-based learning applied to document recogni- tion,.

3DSiameseNet to Analyze Brain MRI Gradient-based learning applied to document recogni- tion,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T05:32:05.978683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f0683c0-1fbb-468a-a284-33c140b928c9 · outbound

This paper cites Siamese neu- ral networks for one-shot image recognition,.

3DSiameseNet to Analyze Brain MRI Siamese neu- ral networks for one-shot image recognition,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.227912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33ca7c16-582f-4465-a7d6-7d6ad7b86dbb · outbound

This paper cites Learning to compare image patches via convolutional neural networks,.

3DSiameseNet to Analyze Brain MRI Learning to compare image patches via convolutional neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.219251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca49c4c8-825e-4cc1-8044-3c0a69d42f67 · outbound

This paper cites Homemade ts-net for auto- matic face recognition,.

3DSiameseNet to Analyze Brain MRI Homemade ts-net for auto- matic face recognition,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.209861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation adb3fec4-68fc-412b-92fe-51ff88f69ba3 · outbound

This paper cites Classification of Alzheimer's Disease using fMRI Data and Deep Learning Convolutional Neural Networks.

3DSiameseNet to Analyze Brain MRI Classification of Alzheimer's Disease using fMRI Data and Deep Learning Convolutional Neural Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T05:32:05.992820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f863cd73-12ae-4826-891f-1c05756cb732 · outbound

This paper cites Demnet: A convolutional neural net- work for the detection of alzheimer’s disease and mild cognitive impairment,.

3DSiameseNet to Analyze Brain MRI Demnet: A convolutional neural net- work for the detection of alzheimer’s disease and mild cognitive impairment,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.200710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45b99785-92b2-4218-9e6b-9fafaf07d33d · outbound

This paper cites Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network.

3DSiameseNet to Analyze Brain MRI Alzheimer's Disease Diagnostics by a Deeply Supervised Adaptable 3D Convolutional Network

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T05:32:05.999725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed826c8c-b05c-4001-9819-a10afc87fb96 · outbound

This paper cites Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks.

3DSiameseNet to Analyze Brain MRI Predicting Alzheimer's disease: a neuroimaging study with 3D convolutional neural networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T05:32:06.004313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a6a83b6-34bf-4784-9cf7-7aaa061cc0f4 · outbound

This paper cites Residual and plain convolutional neural networks for 3d brain mri classiﬁcation,.

3DSiameseNet to Analyze Brain MRI Residual and plain convolutional neural networks for 3d brain mri classiﬁcation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.191374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b975458-efe1-4b47-911b-43c67d30ddb5 · outbound

This paper cites 3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies.

3DSiameseNet to Analyze Brain MRI 3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-14T05:32:06.090086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 546945b3-5810-4021-82eb-36b267c04c5c · outbound

This paper cites Classiﬁca- tion of smri for alzheimer’s disease diagnosis with cnn: Single siamese networks with 2d+? approach and fusion on adni,.

3DSiameseNet to Analyze Brain MRI Classiﬁca- tion of smri for alzheimer’s disease diagnosis with cnn: Single siamese networks with 2d+? approach and fusion on adni,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.182248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a8242e32-0592-4d67-b890-e3e4b9862076 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

3DSiameseNet to Analyze Brain MRI Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T05:32:06.018398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ce51b01-4968-4a6c-8e4d-5e459fb30fd9 · outbound

This paper cites Rectiﬁer non- linearities improve neural network acoustic models,.

3DSiameseNet to Analyze Brain MRI Rectiﬁer non- linearities improve neural network acoustic models,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.172244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d28292fc-d706-4782-a0aa-941a1c17d312 · outbound

This paper cites ADNI | Alzheimer’s Disease Neuroimaging Initiative.

3DSiameseNet to Analyze Brain MRI ADNI | Alzheimer’s Disease Neuroimaging Initiative

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.161950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a617a093-e7e9-4653-b250-3a1c2c046ea4 · outbound

This paper cites 3d u-net for skull stripping in brain mri,.

3DSiameseNet to Analyze Brain MRI 3d u-net for skull stripping in brain mri,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.152302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 85e08129-66f4-4389-82e9-613e24137062 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

3DSiameseNet to Analyze Brain MRI Adam: A Method for Stochastic Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T05:32:06.031236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62238ae5-cd67-482a-89f0-e73d541bdc8b · outbound

This paper cites Chollet et al., “Keras,” 2015.

3DSiameseNet to Analyze Brain MRI Chollet et al., “Keras,” 2015

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.143309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6195125-f330-47bb-ac0b-99ad09965c85 · outbound

This paper cites TensorFlow: Large-scale machine learn- ing on heterogeneous systems,.

3DSiameseNet to Analyze Brain MRI TensorFlow: Large-scale machine learn- ing on heterogeneous systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.133299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fa7003f6-4c40-47f9-9a80-6672a20dc3db · outbound

This paper cites Visualizing data us- ing t-sne,.

3DSiameseNet to Analyze Brain MRI Visualizing data us- ing t-sne,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:32:06.123640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.