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Paper Citation Record · LEDGER

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:1908.09298.

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

pith.paper-citation-record.v1
1908.09298 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:19:25.205494Z

measured 16 of 16 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

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0750373c-e44a-4da0-98f0-507d6a5ab9cc · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.408780Z

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=2026-08-14T11:19:25.147647Z digest=sha256:fab0030c2aaab4be51256dd21cd8fe91fe3db6ec2521881fb5e4e477427a1b6f

Observation 7f7d6069-79d1-407b-b0e9-7684c8496140 · outbound

This paper cites and Bengio, Y.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation and Bengio, Y

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.398079Z

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=2026-08-14T11:19:25.152023Z digest=sha256:d259b292315791b54538b169ed764a0cbdae83bc79e16ab0cd2e85f2b7812e49

Observation cb01f994-81db-4fc8-812e-4776f073c440 · outbound

This paper cites Multivariate mixture model for myocardial segmentation combining multi-source images.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Multivariate mixture model for myocardial segmentation combining multi-source images

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.386430Z

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=2026-08-14T11:19:25.155738Z digest=sha256:e9fa3739b7ca44109f5619021f9a9f530e98ba3a841b7df81493a4585167affe

Observation 0068dc4e-4313-47b8-8410-b434e1db20e3 · outbound

This paper cites Multivariate mixture model for cardiac segmentation from multi-sequence MRI.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Multivariate mixture model for cardiac segmentation from multi-sequence MRI

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.375449Z

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=2026-08-14T11:19:25.159533Z digest=sha256:f697bc6e6889194ddfc3b3b46f9d1f06e32859803ff7e053075394a887fa3ea7

Observation 5e34408a-9ce9-49c7-9fea-01e4c9c55705 · outbound

This paper cites Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.364436Z

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=2026-08-14T11:19:25.163037Z digest=sha256:dcf958530069ecf8be3d1bffe98104c5b6fc71667ad2866263933f0001c467ab

Observation fdbd7bc6-bf9d-4d8d-a0fc-3a86a01a7965 · outbound

This paper cites Y., Zhou, T., and Efros, A.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Y., Zhou, T., and Efros, A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.353825Z

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=2026-08-14T11:19:25.167238Z digest=sha256:162971eeaa4d00194a091b2a3b00d6f470393594cd994c45f02fc617d9b78dc6

Observation 8465cb82-360d-4811-bfb2-6be4fc16e21f · outbound

This paper cites Semantic Segmentation using Adversarial Networks.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Semantic Segmentation using Adversarial Networks

Reference 7

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unresolved
no resolver link, observed 2026-08-14T11:19:25.171344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:19:25.171344Z digest=sha256:3cb002244e51eafb45a79654561af4304cee08ffab42c23b680a52de05956119

Observation 92d0d9f9-6165-4516-a949-7ee092fa6754 · outbound

This paper cites Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-14T11:19:25.251264Z

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=2026-08-14T11:19:25.175353Z digest=sha256:895ab548d22d20a3728c1dbf0801fad94c46c555befed6cf99acc399753f0059

Observation 090eafef-5a4a-4d43-92f6-6c579ca24523 · outbound

This paper cites A., Bai, W., Dacher, J.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation A., Bai, W., Dacher, J

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.343146Z

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=2026-08-14T11:19:25.179300Z digest=sha256:972345d00c313f02e7362c575c3eeaea4697c72a64ac0fa09cef9527220a1e21

Observation 23108aa7-fce2-48ed-9948-4dd19fd4bc8b · outbound

This paper cites A combined deep- learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation A combined deep- learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.332281Z

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=2026-08-14T11:19:25.182766Z digest=sha256:c4d04f0a6d2063e696a79f8b51bd9217202dc3d7638d59d0a1163f1efe498d71

Observation 46604c04-71ba-40a2-aa41-f13e89f3169b · outbound

This paper cites Deep learning.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Deep learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.320439Z

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=2026-08-14T11:19:25.186890Z digest=sha256:e409f5e74e4dbe12e86f78a1495b8eb8a0fb98938f8af6700598c5f41ce0fa22

Observation b0840510-b980-4490-a33e-424a5c938dcf · outbound

This paper cites Deep residual learning for image recognition.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Deep residual learning for image recognition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.309267Z

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=2026-08-14T11:19:25.190260Z digest=sha256:b04d5acf008deadb3354ed03aec07c073cb53ddf2358c69f4ac4e7d38a8ea2ee

Observation 6570624e-ecad-4af0-959a-c6b05f8c10a1 · outbound

This paper cites Fully convolutional networks for semantic segmentation.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Fully convolutional networks for semantic segmentation

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.297156Z

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=2026-08-14T11:19:25.194214Z digest=sha256:dd84747ad1dbba49bcc77b800f339462b8a631b3b5bcd8bcb62d63cddef273a8

Observation 1708ac97-be97-4a43-aac9-aba2ac7277c5 · outbound

This paper cites Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Automatic Brain Structures Segmentation Using Deep Residual Dilated U-Net

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:19:25.286296Z

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=2026-08-14T11:19:25.197710Z digest=sha256:2f53431abc4bf668e06a828d467431be9b28ac91d55d8a30ec6077125b623ea0

Observation f3154a27-bbee-403f-bb97-d6b0083278ca · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Distilling the Knowledge in a Neural Network

Reference 15

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unresolved
no resolver link, observed 2026-08-14T11:19:25.202003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:19:25.202003Z digest=sha256:f6bfc46d0034b7a66131edb5b1fc0b23d37ca2ebbe338c8eb1ab7cce2a696c72

Observation 71551679-3915-421e-acea-067acadc7cc8 · outbound

This paper cites an unresolved cited work.

Adversarial Convolutional Networks with Weak Domain-Transfer for Multi-Sequence Cardiac MR Images Segmentation Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-14T11:19:25.274956Z

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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Pith citing papers

No inbound Pith citation observations are available.