Paper Citation Record · LEDGER

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2412.14846.

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

pith.paper-citation-record.v1
2412.14846 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:54:21.069103Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

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verified fuzzy9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17269496-fdcc-4ad5-8803-b6faed290f48 · outbound

This paper cites In: 3D head and neck tumor segmentation in PET/CT challenge, pp.

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet In: 3D head and neck tumor segmentation in PET/CT challenge, pp

Reference 1

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Observation 8386be24-a8cd-404f-b404-c61e11b10bee · outbound

This paper cites International journal of computer assisted radiology and surgery 16, 529–542 (2021).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet International journal of computer assisted radiology and surgery 16, 529–542 (2021)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.370988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 42d9a166-292a-4f8c-91be-7d5d5d20512f · outbound

This paper cites International Journal of Radiation Oncology* Biology* Physics81(4), e439–e445 (2011).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet International Journal of Radiation Oncology* Biology* Physics81(4), e439–e445 (2011)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.353522Z

Source-reported events for the cited work

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Observation a7b6bb96-493b-4bd1-8a53-712b983aa52c · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 4

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Observation b41b3d48-2ea5-4a8c-9f5e-692987c0f7b4 · outbound

This paper cites Clinical radiology 73(1), 45–59 (2018).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet Clinical radiology 73(1), 45–59 (2018)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.335675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ce00432-8e80-4c00-a223-7ed800ab131d · outbound

This paper cites Nature methods 18(2), 203–211 (2021).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet Nature methods 18(2), 203–211 (2021)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:21.007794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 942a9285-ca50-4454-b91c-58b8bd90edc3 · outbound

This paper cites Medical Image Analysis 72, 102135 (2021) 12 Wang et al.

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet Medical Image Analysis 72, 102135 (2021) 12 Wang et al

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.307484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation adb80d16-ad77-48c2-8bdf-d99a22b66b72 · outbound

This paper cites In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet In: 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.287489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5c5f511c-c1a6-4538-b963-300c1e023f1d · outbound

This paper cites SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:21.022088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29344fb1-8400-4073-b235-7712edc3a89e · outbound

This paper cites In: 2016 fourth international confer- ence on 3D vision (3DV).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet In: 2016 fourth international confer- ence on 3D vision (3DV)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:21.026578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 992e2f66-0d46-4a64-ae56-8ae90613bf68 · outbound

This paper cites Current treatment options in oncology7, 23–34 (2006).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet Current treatment options in oncology7, 23–34 (2006)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.258162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ec406fe3-99a9-4537-9d46-00fbec6fba0a · outbound

This paper cites Concepts in Magnetic Reso- nance Part A2019(1), 4282754 (2019).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet Concepts in Magnetic Reso- nance Part A2019(1), 4282754 (2019)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.238938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf32c3be-1109-4fb7-86dc-6c47ebb29920 · outbound

This paper cites In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet In: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.221222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3008ffc2-38a5-40af-9ae7-9647533060cf · outbound

This paper cites Advances in Neural Information Processing Systems (2017).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet Advances in Neural Information Processing Systems (2017)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:21.044811Z

Source-reported events for the cited work

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Observation 879c5ccc-21a5-430f-a143-b392a39cb237 · outbound

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

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet In: International Conference on Medical Image Computing and Computer-Assisted Intervention

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:21.049689Z

Source-reported events for the cited work

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Observation eeb29f25-4a3b-4f91-88ea-b1bec352a85a · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet In: Proceedings of the European conference on computer vision (ECCV)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:21.054291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcac7bbb-2e2b-4807-8ebc-c0c46aaede07 · outbound

This paper cites In: 2024 International Joint Conference on Neural Networks (IJCNN).

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet In: 2024 International Joint Conference on Neural Networks (IJCNN)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T11:54:21.171977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6fb745a6-475e-4ed1-a4d8-a0c0e300f11e · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet mixup: Beyond Empirical Risk Minimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:21.063903Z

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Observation d117d773-ce9b-4053-b0aa-22bf830e9fb1 · outbound

This paper cites In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition.

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet In: Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T11:54:21.069103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.