Paper Citation Record · LEDGER

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT

As of 6 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 3 inbound Pith citation observations for arXiv:2606.20143.

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

pith.paper-citation-record.v1
2606.20143 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T18:17:18.171065Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:26:53.238238Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T04:26:53.391663Z

Reference resolution

55 of 55 outbound references displayed

verified exact4
verified fuzzy0
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d8fef2f-6d73-4dec-86cb-b8a158c6ca3f · outbound

This paper cites Global burden of head and neck cancer: Epidemiological transitions, inequities, and projections to 2050,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Global burden of head and neck cancer: Epidemiological transitions, inequities, and projections to 2050,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade4fd3e-0ce7-4d5f-a00c-409409b940a8 · outbound

This paper cites Global burden of head and neck cancer from 1990 to 2021: A comprehensive analysis and projections to 2030 based on the global burden of disease study 2021,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Global burden of head and neck cancer from 1990 to 2021: A comprehensive analysis and projections to 2030 based on the global burden of disease study 2021,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a09309a-c6e4-4ffd-8c24-f21cfcde4c0e · outbound

This paper cites Global burden and future trends of head and neck cancer: a deep learning-based analysis (1980–2030),.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Global burden and future trends of head and neck cancer: a deep learning-based analysis (1980–2030),

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580cda11-9bea-40b3-af2e-8de39380ec55 · outbound

This paper cites Head and neck cancer preven- tion: from primary prevention to impact of clin- icians on reducing burden.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Head and neck cancer preven- tion: from primary prevention to impact of clin- icians on reducing burden

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e82d8b-051b-4335-ac60-5c5319fd7582 · outbound

This paper cites Head and neck squamous cell carcinoma,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Head and neck squamous cell carcinoma,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4b002b3-bffe-4707-9a85-9e3f99ea7167 · outbound

This paper cites Antoch, N.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Antoch, N

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0437d564-b94d-4d42-8628-443671f1920a · outbound

This paper cites Automatic head and neck tumor segmentation and outcome prediction relying on fdg-pet/ct images: Findings from the second edi- tion of the hecktor challenge,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Automatic head and neck tumor segmentation and outcome prediction relying on fdg-pet/ct images: Findings from the second edi- tion of the hecktor challenge,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07102a10-5470-4ec3-b546-b2c4f0053174 · outbound

This paper cites Results from the autopet challenge on fully au- tomated lesion segmentation in oncologic pet/ct imaging,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Results from the autopet challenge on fully au- tomated lesion segmentation in oncologic pet/ct imaging,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cde2bfe-0e37-4daf-b044-f3c07f210adb · outbound

This paper cites Deep learning- based auto-delineation of gross tumour volumes and involved nodes in pet/ct images of head and neck cancer patients,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Deep learning- based auto-delineation of gross tumour volumes and involved nodes in pet/ct images of head and neck cancer patients,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bee5556-b1c3-4ea8-aa2e-dcfbc51440c5 · outbound

This paper cites Characterization of pet/ct images using texture analysis: the past, the present. . . any future?.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Characterization of pet/ct images using texture analysis: the past, the present. . . any future?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d62965e8-811c-4a76-a22b-e75442607539 · outbound

This paper cites Pre- dicting immunotherapy response in advanced solid tumors using quantitative imaging features from cd8 pet/ct exams.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Pre- dicting immunotherapy response in advanced solid tumors using quantitative imaging features from cd8 pet/ct exams

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a363c60-6cc7-4fbc-b68e-ee83cc87e18e · outbound

This paper cites Prediction of lung malignancy progression and survival with ma- chine learning based on pre-treatment fdg-pet/ct,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Prediction of lung malignancy progression and survival with ma- chine learning based on pre-treatment fdg-pet/ct,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7d2ee50-0e58-46ac-b892-4f2915dcdc3b · outbound

This paper cites Enhancing the con- touring efficiency for head and neck cancer radio- therapy using atlas-based auto-segmentation and scripting,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Enhancing the con- touring efficiency for head and neck cancer radio- therapy using atlas-based auto-segmentation and scripting,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7efb2c9d-0b3d-4d0d-b811-4cb0e20275c0 · outbound

This paper cites Head and neck tumor segmentation in pet/ct: The hecktor challenge,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Head and neck tumor segmentation in pet/ct: The hecktor challenge,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1409fa-6522-4ec5-aa1c-108b53ae2738 · outbound

This paper cites Imaging biomarker roadmap for cancer studies,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Imaging biomarker roadmap for cancer studies,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8521d5-a2a7-4854-b19f-3da5416c6f8d · outbound

This paper cites Biomarkers in head and neck squamous cell carcinoma: unravel- ing the path to precision immunotherapy,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Biomarkers in head and neck squamous cell carcinoma: unravel- ing the path to precision immunotherapy,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ec733d6-08e6-4621-b82f-33e50de13b8b · outbound

This paper cites Predicting cancer outcomes with radiomics and artificial intelligence in radiology,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Predicting cancer outcomes with radiomics and artificial intelligence in radiology,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e334fd24-9bda-4e1b-a387-c85d17250181 · outbound

This paper cites Prostate cancer radiogenomics—from imaging to molecular characterization,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Prostate cancer radiogenomics—from imaging to molecular characterization,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d13a356-c5ac-4b9f-b0a8-9fee614e879a · outbound

This paper cites Recent advances in deep learning and medical imaging for head and neck cancer treatment: Mri, ct, and pet scans,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Recent advances in deep learning and medical imaging for head and neck cancer treatment: Mri, ct, and pet scans,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94283ae2-7e91-41b9-ab80-0a130fd9c5a3 · outbound

This paper cites Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Benefits of automated gross tumor volume segmentation in head and neck cancer using multi-modality information

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c0c1d23-f7cb-4a08-8aca-b8c1664ce630 · outbound

This paper cites Artificial intelligence-based methods in head and neck cancer diagnosis: an overview,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Artificial intelligence-based methods in head and neck cancer diagnosis: an overview,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad87fac7-bd39-4285-97d2-a0c968ccf9f4 · outbound

This paper cites Global cancer observatory: Cancer to- day. lyon, france: International agency for research on cancer,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Global cancer observatory: Cancer to- day. lyon, france: International agency for research on cancer,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc81a82-c518-499b-8431-fd20646f411c · outbound

This paper cites A multicenter dataset for lymph node clinical target volume de- lineation of nasopharyngeal carcinoma,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT A multicenter dataset for lymph node clinical target volume de- lineation of nasopharyngeal carcinoma,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 442b21ee-f91f-4683-b957-a81d693efb1e · outbound

This paper cites A multimodal dataset for precision oncology in head and neck cancer,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT A multimodal dataset for precision oncology in head and neck cancer,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4d5ea66-b817-4935-ada3-801e155d2eaa · outbound

This paper cites Overview of the heck- tor challenge at miccai 2022: Automatic head and neck tumor segmentation and outcome prediction in pet/ct.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Overview of the heck- tor challenge at miccai 2022: Automatic head and neck tumor segmentation and outcome prediction in pet/ct

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3487baad-00b1-4348-8299-5e6f098387ef · outbound

This paper cites A multimodal and multi-centric head and neck cancer dataset for segmentation, diagnosis and outcome prediction,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT A multimodal and multi-centric head and neck cancer dataset for segmentation, diagnosis and outcome prediction,

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:30.101146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2031736f-e054-4786-9a29-fc436623a3f2 · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:19:30.107221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e5ccbc1-20e9-440f-a843-17afc9ee1618 · outbound

This paper cites nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation

Reference 28

Resolution: verified exact; doi, observed 2026-06-26T18:19:40.800181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7abc9be7-94b6-42df-bc46-701deec4a034 · outbound

This paper cites Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:19:30.115019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 32f27dee-651a-45c6-ba23-691d3f1a2f2c · outbound

This paper cites UNETR: Transformers for 3D Medical Image Segmentation.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT UNETR: Transformers for 3D Medical Image Segmentation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:30.111299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0a5c1ee8-322c-456f-9567-a7182ef6595a · outbound

This paper cites Deep learning techniques in pet/ct imaging: A comprehensive review from sinogram to image space,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Deep learning techniques in pet/ct imaging: A comprehensive review from sinogram to image space,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e08bf423-d497-417a-9c79-9293665275df · outbound

This paper cites Design and validate a dual-modality characteristic information fusion system based on probabilistic graphical models,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Design and validate a dual-modality characteristic information fusion system based on probabilistic graphical models,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d45bcbc-f20f-47a1-897a-afed42121545 · outbound

This paper cites Available: https://doi.org/10.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Available: https://doi.org/10

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1a45b8-62d5-4968-a774-d33fa1a76186 · outbound

This paper cites Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3dbb521-52a5-434a-8e9e-bf20f7520b14 · outbound

This paper cites Consistent estimation of the ex- pected brier score in general survival models with 15 right-censored event times.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Consistent estimation of the ex- pected brier score in general survival models with 15 right-censored event times

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e6623f-a28c-4e20-8f44-32be9b914f33 · outbound

This paper cites De- coding tumour phenotype by noninvasive imaging using a quantitative radiomics approach,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT De- coding tumour phenotype by noninvasive imaging using a quantitative radiomics approach,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23e74616-fd1a-4811-bd09-e5744b3c076c · outbound

This paper cites Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, and Yuval Kluger.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, and Yuval Kluger

Reference 37

Resolution: metadata mismatch; doi, observed 2026-06-26T18:19:40.803353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 48ba494a-975e-4af2-b8ff-3077fc63eaf8 · outbound

This paper cites Transformer-based deep survival analysis,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Transformer-based deep survival analysis,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cff5a87d-654c-410e-97ea-e94eab96d0b0 · outbound

This paper cites Summary from an in- ternational cancer seminar focused on human papillomavirus (hpv)-positive oropharynx can- cer, convened by scientists at iarc and nci,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Summary from an in- ternational cancer seminar focused on human papillomavirus (hpv)-positive oropharynx can- cer, convened by scientists at iarc and nci,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 963bad18-d568-48e0-a28f-ccaf3171f815 · outbound

This paper cites Human papillomavirus and survival of patients with oropharyngeal cancer.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Human papillomavirus and survival of patients with oropharyngeal cancer

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beda801b-f0c2-46b4-ace1-6c1d1c233fa5 · outbound

This paper cites Radiomic features associated with hpv status on pretreatment computed tomography in oropharyn- geal squamous cell carcinoma inform clinical prog- nosis.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Radiomic features associated with hpv status on pretreatment computed tomography in oropharyn- geal squamous cell carcinoma inform clinical prog- nosis

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201cdda3-3362-4df3-b1c4-2d3dc2f78a2b · outbound

This paper cites Deep learning based hpv status prediction for oropha- ryngeal cancer patients.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Deep learning based hpv status prediction for oropha- ryngeal cancer patients

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df104788-3508-4ad1-b5c5-0a69905496ab · outbound

This paper cites Pet/ct ra- diomics signature of human papilloma virus associ- ation in oropharyngeal squamous cell carcinoma.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Pet/ct ra- diomics signature of human papilloma virus associ- ation in oropharyngeal squamous cell carcinoma

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425784fd-e52a-4ed2-a268-064bf2c45e35 · outbound

This paper cites Less is more: Efficient PET/CT segmen- tation and multimodal prediction of recurrence- free survival and HPV status in head and neck can- cer,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Less is more: Efficient PET/CT segmen- tation and multimodal prediction of recurrence- free survival and HPV status in head and neck can- cer,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f962bc1b-1afb-4550-b639-4e0523c7de3f · outbound

This paper cites Hec- tomixnet: Advancing automated head and neck tumor segmentation with multicenter PET/CT data,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Hec- tomixnet: Advancing automated head and neck tumor segmentation with multicenter PET/CT data,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5e1ff77-a24c-4764-93e0-aec6d80c325d · outbound

This paper cites nnu-net v2 for head-and-neck PET/CT primary tumor and lymph node segmentation: A simple, strong baseline,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT nnu-net v2 for head-and-neck PET/CT primary tumor and lymph node segmentation: A simple, strong baseline,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f9d1e5b-5a9f-4d1f-9c93-ac3584c5e8dd · outbound

This paper cites Multi-stage multimodal progressive learning for coordinated segmentation, diagnosis, and progno- sis in head and neck cancer,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Multi-stage multimodal progressive learning for coordinated segmentation, diagnosis, and progno- sis in head and neck cancer,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d2a3d6-ffb8-4f10-a22d-a5d214252481 · outbound

This paper cites A two-stage coarse-to-fine ensembling segmentation framework with multi- channel CT enhancement for head and neck tumor and lymph segmentation in PET and CT image,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT A two-stage coarse-to-fine ensembling segmentation framework with multi- channel CT enhancement for head and neck tumor and lymph segmentation in PET and CT image,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddb36b33-f2be-4ad9-8222-524448a2f200 · outbound

This paper cites Enhancing survival outcomes in head and neck cancer through joint HPV classi- fication and tumor segmentation,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Enhancing survival outcomes in head and neck cancer through joint HPV classi- fication and tumor segmentation,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ed23df2-6066-4b75-8e74-22cd350e2cf0 · outbound

This paper cites HECKTOR 2025 challenge: Hierarchi- cal multi-modal vision network for head-and-neck tumor segmentation and survival prediction,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT HECKTOR 2025 challenge: Hierarchi- cal multi-modal vision network for head-and-neck tumor segmentation and survival prediction,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a027d557-ecb8-4495-a405-a21848f6887d · outbound

This paper cites Simplicity is all you need: out-of-the- box nnunet followed by binary-weighted radiomic model for segmentation and outcome prediction in head and neck pet/ct,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Simplicity is all you need: out-of-the- box nnunet followed by binary-weighted radiomic model for segmentation and outcome prediction in head and neck pet/ct,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f41fe4d-cba3-45a5-9674-3810336a368d · outbound

This paper cites A multi-modal deep learning framework for head and neck tumor seg- mentation and survival prediction,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT A multi-modal deep learning framework for head and neck tumor seg- mentation and survival prediction,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d5c637e-5b42-4dbe-8137-1a3d7d9163ac · outbound

This paper cites From pixels to prognosis: Multimodal learning for head and neck cancer in the hecktor 2025 challenge,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT From pixels to prognosis: Multimodal learning for head and neck cancer in the hecktor 2025 challenge,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 562ba111-27bb-4bec-8719-c2e78571c6f8 · outbound

This paper cites HECK- TOR2025 challenge report: Fully automated 16 diagnoses of HPV status using PET/CT images and clinical information,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT HECK- TOR2025 challenge report: Fully automated 16 diagnoses of HPV status using PET/CT images and clinical information,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 216fbe80-f7a8-4da9-a7fe-ebab4e65950c · outbound

This paper cites Multi-task deep learning for head and neck cancer: Segmentation, survival prediction, and HPV classification in the HECKTOR 2025 challenge,.

HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT Multi-task deep learning for head and neck cancer: Segmentation, survival prediction, and HPV classification in the HECKTOR 2025 challenge,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-26T18:17:18.171065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ee6cf63e-89e3-4fc0-8d94-75349e30a15e · inbound

Value-Monotonicity Matters: A Concordance Loss for Deep Survival Prediction cites this paper.

Value-Monotonicity Matters: A Concordance Loss for Deep Survival Prediction HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T19:58:26.060687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9677115-eeeb-45bb-901c-40ab338534da · inbound

HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT cites this paper.

HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT HEad and neCK TumOR (HECKTOR) 2025: Benchmark of Segmentation, Diagnosis, and Prognosis in Multimodal PET/CT

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:34:44.008044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c5c9cfd-994a-477e-9434-c73f1d6edbb6 · inbound

HERMES: A Hybrid Ensemble for Head-and-Neck Tumor Segmentation, TN Staging, and Recurrence-Free Survival on PET/CT cites this paper.

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T04:26:53.395954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.