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Paper Citation Record · LEDGER

A Multimodal Deep Network for the Reconstruction of T2W MR Images

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.03009.

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

pith.paper-citation-record.v1
1908.03009 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:31:23.350387Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0261121d-a718-44e2-abd9-9ce8717c4840 · outbound

This paper cites Pergamon Books Inc., Elmsford, NY (1984).

A Multimodal Deep Network for the Reconstruction of T2W MR Images Pergamon Books Inc., Elmsford, NY (1984)

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c503b2fd-d25a-43fd-b81a-d4ce76593533 · outbound

This paper cites In: International Conference on Learn- ing Representations (ICLR).

A Multimodal Deep Network for the Reconstruction of T2W MR Images In: International Conference on Learn- ing Representations (ICLR)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.574515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.277150Z digest=sha256:a544e31cbc5d1a7933c024520dfc2675baacd8fb38f3249b32be5291c778465e

Observation 8c8c1336-0652-4591-bf10-7f4aa7e01605 · outbound

This paper cites Mag- netic Resonance in Medicine 59(2), 365–373 (Feb 2008).

A Multimodal Deep Network for the Reconstruction of T2W MR Images Mag- netic Resonance in Medicine 59(2), 365–373 (Feb 2008)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.563882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 8312eda1-44c6-4640-bcd7-cabe26d4dd8a · outbound

This paper cites an unresolved cited work.

A Multimodal Deep Network for the Reconstruction of T2W MR Images Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:31:23.553246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.287476Z digest=sha256:c0ff1e57884b7b7e4e9394a67c86682bdb29c384a4e4f4955525df4ff3de1865

Observation 061abe9b-a3fb-406c-9d8f-6d377c355aac · outbound

This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A Multimodal Deep Network for the Reconstruction of T2W MR Images In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.543749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.293086Z digest=sha256:4f282f53fb5cb5e46abef6d4436e806304b9419833aa9f8ebc5313072805eefe

Observation 6f4e28de-7857-42ef-9c2c-6c3cca138d26 · outbound

This paper cites Magnetic Resonance Imaging 32(10), 1344–1352 (Dec 2014).

A Multimodal Deep Network for the Reconstruction of T2W MR Images Magnetic Resonance Imaging 32(10), 1344–1352 (Dec 2014)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.534457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.298387Z digest=sha256:babaa72f10d8b88b60b586c18c52f2440323752399771557d771435755e7d67f

Observation a8add59b-353a-4b40-8ff7-cf8028753a2b · outbound

This paper cites The British Journal of Radiology 88(1056) (Dec 2015).

A Multimodal Deep Network for the Reconstruction of T2W MR Images The British Journal of Radiology 88(1056) (Dec 2015)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.525513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.302445Z digest=sha256:29b05be3ce54f909727fc4f39da556b874d10710cb83dcd5a7f5c1e00d24d566

Observation fd29329d-ca23-4683-81e0-10a3cb01e3d3 · outbound

This paper cites IEEE Transactions on Image Processing 26(9), 4509–4522 (Sep 2017).

A Multimodal Deep Network for the Reconstruction of T2W MR Images IEEE Transactions on Image Processing 26(9), 4509–4522 (Sep 2017)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.516667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.306168Z digest=sha256:ffa9a36096e1a4851d81cabfe5479f38af74746c9afd2dfeeb1d0581a1ee9fd3

Observation 4dc7e228-0594-4ec3-b685-bbe028d228ee · outbound

This paper cites Medical Physics 45(7), 3120–3131 (Jul 2018).

A Multimodal Deep Network for the Reconstruction of T2W MR Images Medical Physics 45(7), 3120–3131 (Jul 2018)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.506944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.309707Z digest=sha256:0c8418c039f9880c74726fad366bef79804b70b317c4b6a190f4cb9e77a28fdf

Observation 77449e10-0421-4cb5-a898-09e9dd831e74 · outbound

This paper cites A Signal Processing Perspective.

A Multimodal Deep Network for the Reconstruction of T2W MR Images A Signal Processing Perspective

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.496915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5e769c11-c2b1-443e-b96d-132b51b49274 · outbound

This paper cites Magnetic Resonance in Medicine 58, 1182–1195 (Oct 2007).

A Multimodal Deep Network for the Reconstruction of T2W MR Images Magnetic Resonance in Medicine 58, 1182–1195 (Oct 2007)

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.487658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.317809Z digest=sha256:085e6998494048a0fcb9c7b8de707a209cdea49885473f4e956228f1874e99dc

Observation 84d0132e-dc02-4f8b-9067-ce3193352f2f · outbound

This paper cites IEEE Signal Processing Magazine 25(2), 72–82 (Mar 2008) Multimodal Deep Network 9.

A Multimodal Deep Network for the Reconstruction of T2W MR Images IEEE Signal Processing Magazine 25(2), 72–82 (Mar 2008) Multimodal Deep Network 9

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.477628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.321434Z digest=sha256:860e422d186bf5526cfa2bfc9102daa22fdec5e6db4888040bcbebfc492e52e1

Observation 5af88f23-55aa-4d7e-9c62-10e1c8357765 · outbound

This paper cites IEEE Signal Processing Magazine 34(6), 85–95 (Nov 2017).

A Multimodal Deep Network for the Reconstruction of T2W MR Images IEEE Signal Processing Magazine 34(6), 85–95 (Nov 2017)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.466691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.325326Z digest=sha256:451f7dd03cf24c6e842e66a05bd468eaa2903bb9acd56534db26d83d466fae36

Observation 078cc599-d5ed-45be-9399-5becd39cf498 · outbound

This paper cites IEEE Transactions on Medical Imaging 38(1), 280–290 (Jan 2019).

A Multimodal Deep Network for the Reconstruction of T2W MR Images IEEE Transactions on Medical Imaging 38(1), 280–290 (Jan 2019)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.454462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.330035Z digest=sha256:4c40424215a94f8aa7c502feb85c4dcf0abc77ed0953b18f737139a6dc79e1f8

Observation d5ea0428-ff1d-46c1-98a5-7c25bbf65fd4 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).

A Multimodal Deep Network for the Reconstruction of T2W MR Images In: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.440652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.334585Z digest=sha256:44bc690c2f05775c1fa015f18a530322f37c67ea62eeb89572e8f630ee636092

Observation bc666ab4-42dd-45ca-9f88-72b650a7c359 · outbound

This paper cites Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks.

A Multimodal Deep Network for the Reconstruction of T2W MR Images Multiple Sclerosis Lesion Segmentation from Brain MRI via Fully Convolutional Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-14T14:31:23.338993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:31:23.338993Z digest=sha256:528cf0377fb54a7214acc6fc1ee036683692fa4c34785381b08ffbe73158dfa7

Observation e4e30097-f88b-4a8b-8735-d74b92adb9e8 · outbound

This paper cites IEEE Transactions on Medical Imaging 37(2), 491–503 (Feb 2018).

A Multimodal Deep Network for the Reconstruction of T2W MR Images IEEE Transactions on Medical Imaging 37(2), 491–503 (Feb 2018)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.428284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.342815Z digest=sha256:14f406dc70e6a752a5e26cf6e26c508ae0250b0b55d2e582f3c9066b43d08db3

Observation 7f6d995f-9e81-4447-a0e3-02c432849a02 · outbound

This paper cites Neuroinformatics 16(1), 51–63 (Jan 2018).

A Multimodal Deep Network for the Reconstruction of T2W MR Images Neuroinformatics 16(1), 51–63 (Jan 2018)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.415922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.346485Z digest=sha256:e2c46c1609543778439fd805aebbe064ee13d8c140d87b820487254812ddc3c2

Observation b576762c-f180-4d26-8cd6-9e88c2750616 · outbound

This paper cites IEEE Transactions on Biomedical Engineering (Early Access) (2018).

A Multimodal Deep Network for the Reconstruction of T2W MR Images IEEE Transactions on Biomedical Engineering (Early Access) (2018)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:31:23.398704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:31:23.350387Z digest=sha256:08ab22d0794d6ddc3864728fdc071f7274e9ea439123b4e8be1da83b1c67c96b

Pith citing papers

No inbound Pith citation observations are available.