Paper Citation Record · LEDGER

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2505.03599.

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

pith.paper-citation-record.v1
2505.03599 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:39.933931Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:29:30.090134Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:18:55.060356Z

Reference resolution

16 of 16 outbound references displayed

verified exact1
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b29e123-b2ae-475c-b898-0bbd1d610134 · outbound

This paper cites Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Binbin Huang, Zehao Yu, Anpei Chen, Andreas Geiger, and Shenghua Gao

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.870318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25f2cca5-9ac7-4bfd-a690-706e2d103ada · outbound

This paper cites Constraints on the rate of supernovae lasting for more than a year from Subaru/Hyper Suprime-Cam.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Constraints on the rate of supernovae lasting for more than a year from Subaru/Hyper Suprime-Cam

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.875592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9452fa9b-7dce-41ca-990c-61d7845277c8 · outbound

This paper cites doi: 10.1007/ 978-3-030-87586-2 8.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction doi: 10.1007/ 978-3-030-87586-2 8

Reference 7

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T23:50:40.906970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46267443-70d3-4576-91d0-d966091ecce1 · outbound

This paper cites Daniel S Marcus, Tracy H Wang, Jamie Parker, John G Csernansky, John C Morris, and Randy L Buckner.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Daniel S Marcus, Tracy H Wang, Jamie Parker, John G Csernansky, John C Morris, and Randy L Buckner

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.897119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98ef22d7-5f02-47b1-b634-2df3c1cb836e · outbound

This paper cites Roshan Reddy Upendra, S.M.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Roshan Reddy Upendra, S.M

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.913370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c0e40f9-fcf2-49be-b9f7-4bdaebf05464 · outbound

This paper cites doi: 10.1007/ 978-3-031-43907-0 49.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction doi: 10.1007/ 978-3-031-43907-0 49

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.918702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59abf9cd-e2af-4007-bd65-4fad630dcae3 · outbound

This paper cites ISBN 9798400701597.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction ISBN 9798400701597

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.929436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2901f7f2-c7c3-4808-8ee2-8d4722a76838 · outbound

This paper cites Debbie Zhao, Edward Ferdian, Gonzalo D.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Debbie Zhao, Edward Ferdian, Gonzalo D

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.933931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71263163-8042-4695-989f-7cbad572d6ca · outbound

This paper cites Riddhish Bhalodia, Shireen Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, and Ross Whitaker.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Riddhish Bhalodia, Shireen Elhabian, Jadie Adams, Wenzheng Tao, Ladislav Kavan, and Ross Whitaker

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.852222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6e3326b-aae5-420a-ad7a-522f8d262ba9 · outbound

This paper cites doi: 10.1007/ 978-3-319-24574-4 28.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction doi: 10.1007/ 978-3-319-24574-4 28

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.902726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 759ff074-c41e-4f01-bf44-27020e942456 · outbound

This paper cites Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI

Reference 2017

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T23:50:40.759823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7120b0eb-b17b-4a47-8eff-99731f922d49 · outbound

This paper cites Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Lior Yariv, Jiatao Gu, Yoni Kasten, and Yaron Lipman

Reference 2018

Resolution: verified exact; doi, observed 2026-08-15T23:50:39.975925Z

Source-reported events for the cited work

correction dated 2019-09-04. Source: crossref record 10.1007/s10278-018-0165-9->10.1007/s10278-017-0037-8:correction, observed 2026-07-11T03:06:28.272746+00:00. This notice travels one citation hop only.

Observation 58b107f6-8145-4f89-83d5-bb0bca55de68 · outbound

This paper cites Catalina Tobon-Gomez, Arjan J.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Catalina Tobon-Gomez, Arjan J

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.908293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 233fb375-e4b5-4970-866f-a752504454c2 · outbound

This paper cites doi: 10.1007/ 978-3-030-87202-1 53.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction doi: 10.1007/ 978-3-030-87202-1 53

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.881329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80a58007-c3c4-42ef-b3d1-4c2f36643060 · outbound

This paper cites Julian Maclaren, Zhaoying Han, Sjoerd B V os, Nancy Fis- chbein, and Roland Bammer.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Julian Maclaren, Zhaoying Han, Sjoerd B V os, Nancy Fis- chbein, and Roland Bammer

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.891987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24172bd3-62be-47c8-bb92-960557369ff6 · outbound

This paper cites ISBN 9798400705250.

From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction ISBN 9798400705250

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T23:50:39.858816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 49c52be0-f077-4d58-a18f-44372466c24f · inbound

Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI for Cardiac Digital Twins cites this paper.

Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI for Cardiac Digital Twins From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:16:16.967856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2345a517-efbc-4481-b721-4167d9fff176 · inbound

High-Fidelity 3D Geometric Reconstruction of Pelvic Organs from MRI: A Hybrid Deep Learning and Iterative Optimization Approach cites this paper.

High-Fidelity 3D Geometric Reconstruction of Pelvic Organs from MRI: A Hybrid Deep Learning and Iterative Optimization Approach From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:18:55.061851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.