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Paper Citation Record · LEDGER

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.11638.

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

pith.paper-citation-record.v1
2507.11638 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:13:08.175746Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

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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

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation cb77c681-6a72-4d95-882e-dc3d69a7e171 · outbound

This paper cites an unresolved cited work.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Unresolved cited work

Reference 1

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Observation cf19a8fd-fa04-4c64-b7ff-c624dc8a81fd · outbound

This paper cites wandb.com/.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders wandb.com/

Reference 2

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Observation f66c980a-7fec-4fca-85e2-75aff02a5285 · outbound

This paper cites Journal of Clinical Medicine11(9), 1–26 (2022).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Journal of Clinical Medicine11(9), 1–26 (2022)

Reference 3

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Observation f28400ac-8c28-4fcd-9e63-b5b11fef92fa · outbound

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

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders MONAI: An open-source framework for deep learning in healthcare

Reference 4

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Observation a634d680-f6ed-4549-b3b7-f153b310957f · outbound

This paper cites In: 2009 IEEE Conference on Computer Vi- sion and Pattern Recognition.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders In: 2009 IEEE Conference on Computer Vi- sion and Pattern Recognition

Reference 5

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Observation 2a63ac79-9ef8-4cbb-9ec7-fcf34c653fa9 · outbound

This paper cites Variational Classification.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Variational Classification

Reference 6

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Observation 8420b789-9425-42db-8e82-aae2b73c0ce3 · outbound

This paper cites Magnetic Resonance Imaging30(9), 1323–1341 (November 2012), https://www.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Magnetic Resonance Imaging30(9), 1323–1341 (November 2012), https://www

Reference 7

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Observation 6307007c-d6d5-4b95-bd85-da8f7e7d071b · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Gaussian Error Linear Units (GELUs)

Reference 8

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Observation 4312d412-8329-4ee4-93b4-242e064aa230 · outbound

This paper cites RadioGraphics39(2), 367–387 (2019).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders RadioGraphics39(2), 367–387 (2019)

Reference 9

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Observation 1309c1fc-5016-4869-967e-f492594b4e81 · outbound

This paper cites Bioinformatics Advances3(1),vbac100(012023).https://doi.org/10.1093/bioadv/vbac100,https: //doi.org/10.1093/bioadv/vbac100.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Bioinformatics Advances3(1),vbac100(012023).https://doi.org/10.1093/bioadv/vbac100,https: //doi.org/10.1093/bioadv/vbac100

Reference 10

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Observation 9c4dff20-fb07-4619-a8ff-f0090965ebb3 · outbound

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

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 11

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Observation 6595f304-e379-4e77-b4eb-3829f6b0a7bf · outbound

This paper cites Journal of Artificial Intelligence and Technology3(4), 195–204 (2023).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Journal of Artificial Intelligence and Technology3(4), 195–204 (2023)

Reference 12

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Observation 102fd9dc-db83-4c32-a94e-a5ab2f9651b0 · outbound

This paper cites Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Variational Autoencoders for Feature Exploration and Malignancy Prediction of Lung Lesions

Reference 13

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Observation ac867503-8aaa-4fd7-af0b-60d1dc4af4be · outbound

This paper cites BMJ Open14(12) (2024).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders BMJ Open14(12) (2024)

Reference 14

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Source-reported events for the cited work

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Observation 0f9c7775-5639-4966-b1c1-96919c6b431b · outbound

This paper cites Auto-Encoding Variational Bayes.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Auto-Encoding Variational Bayes

Reference 15

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Observation 20040dc7-42e5-4b7e-8d80-b2f76cfa87f2 · outbound

This paper cites The Annals of Math- ematical Statistics22(1), 79–86 (1951), http://www.jstor.org/stable/2236703.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders The Annals of Math- ematical Statistics22(1), 79–86 (1951), http://www.jstor.org/stable/2236703

Reference 16

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Observation 24a5d953-84ad-4d49-bdd1-f63b004d3a76 · outbound

This paper cites Quantitative Imaging in Medicine and Surgery11(6), 2477–2485 (2021).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Quantitative Imaging in Medicine and Surgery11(6), 2477–2485 (2021)

Reference 17

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Observation d84ff13c-cb43-4ed2-bb3d-4c81f0c77a67 · outbound

This paper cites International Jour- nal of Radiation Research21(2) (2023).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders International Jour- nal of Radiation Research21(2) (2023)

Reference 18

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Observation 187f0909-2ffa-48c5-9b46-3eae57c4f01c · outbound

This paper cites Keel et al.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Keel et al

Reference 19

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Observation a1a37579-bba1-4ef3-9646-91b44bf4407b · outbound

This paper cites Diseases of the Colon and Rectum66(12), E1246–E1253 (2023).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Diseases of the Colon and Rectum66(12), E1246–E1253 (2023)

Reference 20

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Observation e713d4fa-9aee-4219-af69-4b086006fb78 · outbound

This paper cites Computer Methods and Programs in Biomedicine p.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Computer Methods and Programs in Biomedicine p

Reference 21

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Observation e5773891-e520-4ed4-9ee1-92dd8151f9bf · outbound

This paper cites Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study

Reference 22

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Observation f55d1995-76a6-4661-afd7-460af60014f0 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Reference 23

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Source-reported events for the cited work

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Observation 571c877a-a35b-4566-8edb-a123f1f2073e · outbound

This paper cites International Journal of Computer Vision128(2), 336–359 (oct 2019).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders International Journal of Computer Vision128(2), 336–359 (oct 2019)

Reference 24

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Observation 7b5f1bb3-fa9c-4aa1-b710-798a9c286f74 · outbound

This paper cites https://www.slicer.org/ (2024), accessed: 2024-10-24.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders https://www.slicer.org/ (2024), accessed: 2024-10-24

Reference 25

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Observation 4fe5bb1b-d727-43da-a284-8212dfec3ac4 · outbound

This paper cites IEEE Access12, 195658– 195670 (2024).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders IEEE Access12, 195658– 195670 (2024)

Reference 26

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Observation 64457a29-e197-4402-a356-7fd6754dcfdf · outbound

This paper cites Journal of Clinical Oncology29(23), 3163–3172 (2011).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Journal of Clinical Oncology29(23), 3163–3172 (2011)

Reference 27

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Observation 99119de9-2da1-4ca4-af02-d79e856b4951 · outbound

This paper cites European Radiology pp.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders European Radiology pp

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 976c934c-bdd3-44dc-bac3-87b7a9ce80cc · outbound

This paper cites IEEE Access12, 90535–90551 (2024).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders IEEE Access12, 90535–90551 (2024)

Reference 29

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Source-reported events for the cited work

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Observation e6fb34ba-05af-41aa-bc72-8134fd1b0eea · outbound

This paper cites IEEE Transactions on Image Processing 13(4), 600–612 (2004), https://doi.org/10.1109/TIP.2003.819861.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders IEEE Transactions on Image Processing 13(4), 600–612 (2004), https://doi.org/10.1109/TIP.2003.819861

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 34ec10b0-f17e-474b-8721-d8164117fedf · outbound

This paper cites Radiology: Artificial Intelligence6(2) (2024).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Radiology: Artificial Intelligence6(2) (2024)

Reference 31

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Source-reported events for the cited work

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Observation 91e0ba34-6dc5-4317-b8f1-0a52175f4e33 · outbound

This paper cites 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) pp

Reference 32

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Observation 504cc759-d6f6-4164-b4e4-75bda03c606a · outbound

This paper cites In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:13:08.132842Z digest=sha256:112ea7591e9a44b35c9f0e077f6ba308e0d59d65d6486980e5acfc6a3b956828

Observation 876b29f3-2697-49ed-bfde-24b9382e8cd1 · outbound

This paper cites Frontiers in Oncology11(July) (2021).

Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders Frontiers in Oncology11(July) (2021)

Reference 34

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source=pdf_text observed=2026-08-06T17:13:08.175746Z digest=sha256:44167dedf8c26a4cfb9569029bbb1e2b3ae53ebf09eb3b4080381f35ba77b842

Pith citing papers

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