Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 3 inbound Pith citation observations for arXiv:2606.20143.

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pith.paper-citation-record.v1
2606.20143 v1

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Pith citing papers itemized under the disclosed page cap.

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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

Reference 38

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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

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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

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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

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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

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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

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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

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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

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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,

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

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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,

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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,

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

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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,

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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,

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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,

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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,

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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,

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

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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,

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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,

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