Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:26:27.319888Z
Paper Citation Record · LEDGER
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis
As of 19 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2412.11039.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact0
- verified fuzzy52
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6929976d-085a-4ba8-9746-f87a14f92533 · outbound
This paper cites Nature medicine29(6), 1563–1577 (2023).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Nature medicine29(6), 1563–1577 (2023)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.283832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 91b59f80-96f2-4811-bbd8-8690d0ffec54 · outbound
This paper cites Nature 604(7904), 111–119 (2022) 30.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Nature 604(7904), 111–119 (2022) 30
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.268770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f8cd5283-25fe-413b-be98-73280f54a770 · outbound
This paper cites Neuroimage 62(2), 911–922 (2012).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Neuroimage 62(2), 911–922 (2012)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.253993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5e257eaf-1c26-431c-b25b-adb91140a11d · outbound
This paper cites Nature Machine Intelligence1(6), 277–287 (2019).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Nature Machine Intelligence1(6), 277–287 (2019)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.240181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4ee49001-b483-48d8-aee7-76aad8206e61 · outbound
This paper cites The Anatomical Record: An Official Publication of the American Association of Anatomists246(1), 1–7 (1996).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis The Anatomical Record: An Official Publication of the American Association of Anatomists246(1), 1–7 (1996)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.225375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 31c9f6b3-d962-4a69-b04f-89a4db1f7bb9 · outbound
This paper cites JACC: Cardiovascular imaging12(8 Part 1), 1549–1565 (2019).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis JACC: Cardiovascular imaging12(8 Part 1), 1549–1565 (2019)
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.210876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 75bd8c05-8f02-49bc-8de1-2914cf977e35 · outbound
This paper cites A most unusual and dangerous anomaly, 25–28 (1989).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis A most unusual and dangerous anomaly, 25–28 (1989)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.196054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1649a7f6-cdfe-4147-a748-0b9a706a2868 · outbound
This paper cites Digestive surgery16(6), 459–467 (1999).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Digestive surgery16(6), 459–467 (1999)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.180877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f27e41e4-11af-4618-8ea7-5b5e974aeea4 · outbound
This paper cites Annals of Translational Medicine10(6) (2022).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Annals of Translational Medicine10(6) (2022)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.165659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c86cbea9-b37f-4291-8e6d-a05725b415c8 · outbound
This paper cites Frontiers in Oncology 12, 1028467 (2022).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Frontiers in Oncology 12, 1028467 (2022)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.150103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0da6f2b5-6181-4cf8-ba87-8984b2bbe073 · outbound
This paper cites Journal of Thoracic Disease15(12), 6879 (2023).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Journal of Thoracic Disease15(12), 6879 (2023)
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.135283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2d187c0b-d2c2-462d-950e-a7b9898ece0e · outbound
This paper cites IEEE Transactions on Medical Imaging31(11), 2093–2107 (2012).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis IEEE Transactions on Medical Imaging31(11), 2093–2107 (2012)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.120265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 155d97f1-34c7-45d0-9a71-f285bbd99ba4 · outbound
This paper cites Medical image analysis90, 102957 (2023).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Medical image analysis90, 102957 (2023)
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.104666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 97ea59df-a928-4d10-8268-b6a93f06ef38 · outbound
This paper cites Medical Image Analysis97, 103253 (2024) 31.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Medical Image Analysis97, 103253 (2024) 31
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.089266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9e238da1-aeac-4f02-9e1d-6d8681d21fbb · outbound
This paper cites Medical image analysis36, 52–60 (2017).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Medical image analysis36, 52–60 (2017)
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.074142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0059ac4a-4ba6-4c4f-9c0d-8bb520b3ea54 · outbound
This paper cites Medical image analysis24(1), 1–17 (2015).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Medical image analysis24(1), 1–17 (2015)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.058065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 352ff1ac-84f2-4bb6-a5d1-52426be4259b · outbound
This paper cites an unresolved cited work.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T15:26:28.039594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9df013a6-092f-4102-9f11-f2db226b699f · outbound
This paper cites In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.022444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation adc1e813-eb41-4286-93df-4ea76c6b8f54 · outbound
This paper cites IEEE transactions on medical imaging40(1), 405–418 (2020).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis IEEE transactions on medical imaging40(1), 405–418 (2020)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:28.006297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 500bf7ea-943c-47ac-814e-0f85fa3cc73c · outbound
This paper cites IEEE transactions on medical imaging40(9), 2452–2462 (2021).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis IEEE transactions on medical imaging40(9), 2452–2462 (2021)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.990646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 52f1d524-503e-4975-bba7-e12ef161d051 · outbound
This paper cites IEEE Transactions on Neural Networks and Learning Systems (2023).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis IEEE Transactions on Neural Networks and Learning Systems (2023)
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.974317Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 48d106af-e085-4184-99b4-127c30e5c976 · outbound
This paper cites IEEE Journal of Biomedical and Health Informatics (2023).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis IEEE Journal of Biomedical and Health Informatics (2023)
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:26:27.130735Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed8317f1-50f4-4018-8453-1e2922604252 · outbound
This paper cites IEEE transactions on medical imaging (2024).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis IEEE transactions on medical imaging (2024)
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.947733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 16f03176-b33a-463d-97fa-82a657c647ca · outbound
This paper cites Medical Image Analysis99, 103367 (2025) 32.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Medical Image Analysis99, 103367 (2025) 32
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.931933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 585ed407-175c-4db0-a622-5fa74816ef87 · outbound
This paper cites IEEE Transactions on Medical Imaging (2024).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis IEEE Transactions on Medical Imaging (2024)
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.916459Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 97a2562c-8499-4f31-821d-504c2c2d9c8f · outbound
This paper cites IEEE Transactions on Medical Imaging 42(1), 103–118 (2022).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis IEEE Transactions on Medical Imaging 42(1), 103–118 (2022)
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.899512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 531e7c7b-71e8-4203-81de-ff13cb9ab672 · outbound
This paper cites In: Medical Imaging 2020: Image Processing, vol.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: Medical Imaging 2020: Image Processing, vol
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.884335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 64bc462e-8814-44b5-bf7b-1498a544edf7 · outbound
This paper cites Medical Image Analysis97, 103286 (2024).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Medical Image Analysis97, 103286 (2024)
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.868446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1744b9d6-7328-4255-a728-cd266c221e74 · outbound
This paper cites Medical & Biological Engineering & Computing, 1–16 (2024).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Medical & Biological Engineering & Computing, 1–16 (2024)
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.852638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a11cc557-c39f-42d8-8736-67a8295ca697 · outbound
This paper cites Medical physics 38(2), 915–931 (2011).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Medical physics 38(2), 915–931 (2011)
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.836725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d6ad4e15-aef9-4f32-bb96-4132fa2ed9a0 · outbound
This paper cites The Cancer Imaging Archive.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis The Cancer Imaging Archive
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:26:27.170259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5961bc9-9aed-4d9e-89fb-3df247c9bf4f · outbound
This paper cites New England Journal of Medicine365(5), 395–409 (2011).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis New England Journal of Medicine365(5), 395–409 (2011)
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:26:27.174656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b89cc45b-48c4-4c7b-a369-15cea7b11600 · outbound
This paper cites The Cancer Imaging Archive.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis The Cancer Imaging Archive
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:26:27.179372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 983f3c27-6f56-4d36-a254-4207968622b8 · outbound
This paper cites Elsevier health sciences, ??? (2014).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Elsevier health sciences, ??? (2014)
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.799362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cfe67645-6419-461b-9e08-d525380c8e3a · outbound
This paper cites In: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), pp.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), pp
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.782475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation df4ad179-df31-4fac-9a9e-0c5200573105 · outbound
This paper cites CVGIP: graphical models and image processing 56(6), 462–478 (1994).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis CVGIP: graphical models and image processing 56(6), 462–478 (1994)
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.767035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4a3e8c1b-28d6-4fdd-8702-8984c5169560 · outbound
This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.751828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b2ea51a1-045b-4c53-afeb-27859bddc3ce · outbound
This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.735945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 962f8c65-1a6b-4446-b069-c79792e9d39e · outbound
This paper cites In: Medical Image Computing and Computer-assisted intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: Medical Image Computing and Computer-assisted intervention–MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:26:27.207140Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f3a1762-fc60-462c-b2a5-2832c98a9dac · outbound
This paper cites Nature methods18(2), 203–211 (2021).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Nature methods18(2), 203–211 (2021)
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:26:27.211363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3cf7b25-ef5b-4ffa-bc68-5e98beb32313 · outbound
This paper cites In: International Conference on Learning Representations (2017).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: International Conference on Learning Representations (2017)
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:26:27.216412Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 114a1a2e-5bc5-470a-aae3-92c87ba6fcc5 · outbound
This paper cites The Lancet Respiratory Medicine6(11), 837–845 (2018).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis The Lancet Respiratory Medicine6(11), 837–845 (2018)
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.689008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7510deda-6f02-46c6-8750-1372b5a5e872 · outbound
This paper cites BMC medicine 13, 1–8 (2015).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis BMC medicine 13, 1–8 (2015)
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.674105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f88c8b8e-11c3-4730-a51a-5bf47424bfc8 · outbound
This paper cites General thoracic and cardiovascular surgery63, 354–360 (2015) 34.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis General thoracic and cardiovascular surgery63, 354–360 (2015) 34
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.658389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 98ffa8e1-3123-481f-a140-dadea17f8756 · outbound
This paper cites Surgery Today52(4), 550–558 (2022).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Surgery Today52(4), 550–558 (2022)
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.642446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 97e72d1a-ec01-4c8a-be5b-a5e8b7c0d020 · outbound
This paper cites Surgical and Radiologic Anatomy40, 955–958 (2018).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Surgical and Radiologic Anatomy40, 955–958 (2018)
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.626393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a2e5154c-df8b-4a53-bace-d4c07bd80964 · outbound
This paper cites In: International Congress Series, vol.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: International Congress Series, vol
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.610664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 382aa732-2d4b-465f-9dc9-a116f12e6b96 · outbound
This paper cites Asian Journal of Endoscopic Surgery6(2), 110–115 (2013).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Asian Journal of Endoscopic Surgery6(2), 110–115 (2013)
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.595528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c592bf4a-b4b5-4199-94f1-0a8068303217 · outbound
This paper cites The Annals of thoracic surgery102(5), 389–391 (2016).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis The Annals of thoracic surgery102(5), 389–391 (2016)
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.579775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 555328ff-1197-4416-849e-96e77ed533bf · outbound
This paper cites Radiology310(2), 232558 (2024).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Radiology310(2), 232558 (2024)
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.564136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8424bf21-b18c-486e-9848-e3d02254d390 · outbound
This paper cites Journal of thoracic imaging11(2), 92–108 (1996).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Journal of thoracic imaging11(2), 92–108 (1996)
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.546981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 23bd34ff-becc-40f1-88c1-dd50c2bfdd73 · outbound
This paper cites In: A Short Textbook of Clinical Imaging, pp.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: A Short Textbook of Clinical Imaging, pp
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.531595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9db66e78-a428-4b2f-b0ad-3b5a1fbe954b · outbound
This paper cites American journal of respiratory and critical care medicine 199(6), 701–714 (2019).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis American journal of respiratory and critical care medicine 199(6), 701–714 (2019)
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.516565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ff263313-a2f1-4f64-bfff-69a2ba5788af · outbound
This paper cites BioMed research international 2019(1), 1948519 (2019).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis BioMed research international 2019(1), 1948519 (2019)
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.501355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e956b67f-cd48-4369-ac4e-d4c963b7de2f · outbound
This paper cites Frontiers in physiology14, 1113100 (2023) 35.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Frontiers in physiology14, 1113100 (2023) 35
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.486476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 97c0792d-b908-4aa4-85b4-19dfd29c466c · outbound
This paper cites Chest143(3), 687–693 (2013).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Chest143(3), 687–693 (2013)
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.470199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2fdd8e3c-a5d5-474b-83e6-76816f2a7329 · outbound
This paper cites European radiology26, 478–486 (2016).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis European radiology26, 478–486 (2016)
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.453490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 75916d5f-ceac-49ab-a910-6678390fa391 · outbound
This paper cites European radiology31, 1987–1998 (2021).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis European radiology31, 1987–1998 (2021)
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.437609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cd3d728e-e197-44a3-b075-4e6683eb854a · outbound
This paper cites Nature medicine 25(6), 954–961 (2019).
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Nature medicine 25(6), 954–961 (2019)
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.420726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 04d62956-fed6-4204-a197-d51c1cd94e40 · outbound
This paper cites In: Medical Image ComputingandComputer-AssistedIntervention–MICCAI2016:19thInternational Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19, pp.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis In: Medical Image ComputingandComputer-AssistedIntervention–MICCAI2016:19thInternational Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19, pp
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T15:26:27.404390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 05aba731-484f-47f2-83fb-d84a910169e7 · outbound
This paper cites Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
Reference 61
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T15:26:27.387638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 79c62365-6236-4098-9214-de43fe024b62 · outbound
This paper cites an unresolved cited work.
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis Unresolved cited work
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:26:27.319888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.