Paper Citation Record · LEDGER

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT

As of 5 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.03931.

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pith.paper-citation-record.v1
2607.03931 v1

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measured 46 of 46 reference resolution

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measured 46 of 46 standing notices

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Outbound references

Observation 29c6be08-9cf5-4ac2-b976-371ce2982d9a · outbound

This paper cites Role of fdg-pet scans in staging, response assessment, and follow-up care for non-small cell lung cancer.Frontiers in Oncology, 2:208, 2012.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Role of fdg-pet scans in staging, response assessment, and follow-up care for non-small cell lung cancer.Frontiers in Oncology, 2:208, 2012

Reference 1

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Observation 16424147-db68-4448-98d7-b3d6d3254163 · outbound

This paper cites Fletcher, Benjamin Djulbegovic, Heloisa P.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Fletcher, Benjamin Djulbegovic, Heloisa P

Reference 2

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Observation 24588352-2901-45a5-a06a-b4722870af6f · outbound

This paper cites Wahl, Heather Jacene, Yvette Kasamon, and Martin A.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Wahl, Heather Jacene, Yvette Kasamon, and Martin A

Reference 3

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Observation 6d88bcd2-8867-411e-b5dd-47cc0cd20c9e · outbound

This paper cites A role of fdg-pet/ct for response evaluation in metastatic breast cancer?Seminars in Nuclear Medicine, 52(5):520–530, Sep 2022.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT A role of fdg-pet/ct for response evaluation in metastatic breast cancer?Seminars in Nuclear Medicine, 52(5):520–530, Sep 2022

Reference 4

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Observation 5aad75eb-5641-4d9b-8630-5f5e04cb729d · outbound

This paper cites Edmund Kim, and Dong Soo Lee.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Edmund Kim, and Dong Soo Lee

Reference 5

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Observation 2248fffc-41e1-4061-a664-1ef7a9461f00 · outbound

This paper cites (18)f-fdg pet dissemination features in diffuse large b-cell lymphoma are predictive of outcome.Journal of Nuclear Medicine, 61(1):40–45, Jan 2020.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT (18)f-fdg pet dissemination features in diffuse large b-cell lymphoma are predictive of outcome.Journal of Nuclear Medicine, 61(1):40–45, Jan 2020

Reference 6

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Observation 8473c266-179f-4002-b762-1e7a439cb2b6 · outbound

This paper cites Quantitative fdg pet assessment for oncology therapy.Cancers, 13(4):869, Feb 2021.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Quantitative fdg pet assessment for oncology therapy.Cancers, 13(4):869, Feb 2021

Reference 7

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Observation 3a99beb8-2aa5-43e4-bafb-0678ed376e77 · outbound

This paper cites Use of fdg pet for staging and re-staging of head and neck squamous cell carcinoma.Cancers, 17(19):3140, Sep 2025.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Use of fdg pet for staging and re-staging of head and neck squamous cell carcinoma.Cancers, 17(19):3140, Sep 2025

Reference 8

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Observation 53666610-e4e2-4f65-9f1b-1b9061795a56 · outbound

This paper cites The first miccai challenge on pet tumor segmentation.Medical Image Analysis, 44:177–195, 2018.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT The first miccai challenge on pet tumor segmentation.Medical Image Analysis, 44:177–195, 2018

Reference 9

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Observation de25bde8-350a-4fee-9611-9eda8ed427c8 · outbound

This paper cites Totalsegmentator: robust segmentation of 104 anatomic structures in CT images.Radiology: Artificial Intelligence, 5(5), 2023.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Totalsegmentator: robust segmentation of 104 anatomic structures in CT images.Radiology: Artificial Intelligence, 5(5), 2023

Reference 10

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Observation 01b7d733-9f60-4ed0-900e-cf8c107aef9a · outbound

This paper cites Christ, Ezequiel de la Rosa, Julian Deseoe, Robert Graf, Hendrik M¨ oller, Anjany Sekuboyina, Jan C.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Christ, Ezequiel de la Rosa, Julian Deseoe, Robert Graf, Hendrik M¨ oller, Anjany Sekuboyina, Jan C

Reference 11

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Observation f17b7de6-903a-4d40-9a62-d3ae86847b3d · outbound

This paper cites John Lucido, Todd A.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT John Lucido, Todd A

Reference 12

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Observation c2e09739-04e6-42d3-9827-023781903b2a · outbound

This paper cites Gabry´ s, Simon Burgermeister, Daniel Abler, Maksym Fritsak, Maiwand Ahmad- sei, Ciro Franzese, Adrien Depeursinge, Michel A.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Gabry´ s, Simon Burgermeister, Daniel Abler, Maksym Fritsak, Maiwand Ahmad- sei, Ciro Franzese, Adrien Depeursinge, Michel A

Reference 13

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Observation 0bb1b581-7c9c-43b3-ab7e-95f0f856cf1c · outbound

This paper cites an unresolved cited work.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Unresolved cited work

Reference 14

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Observation cc3d2e93-b349-4ecb-8b0b-bde2b1476b48 · outbound

This paper cites A whole-body fdg-pet/ct dataset with manually annotated tumor lesions (fdg-pet-ct-lesions), 2022.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT A whole-body fdg-pet/ct dataset with manually annotated tumor lesions (fdg-pet-ct-lesions), 2022

Reference 15

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Observation 918fef00-a9e1-43f4-8d55-e2b491ace5d7 · outbound

This paper cites Naser, Clifton D.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Naser, Clifton D

Reference 16

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Observation f0338cd6-a029-4ef1-870b-3422b2cf2bbf · outbound

This paper cites Is automatic tumor segmentation on whole-body (18)f-fdg pet images a clinical reality?Journal of Nuclear Medicine, 65(7):995–997, 2024.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Is automatic tumor segmentation on whole-body (18)f-fdg pet images a clinical reality?Journal of Nuclear Medicine, 65(7):995–997, 2024

Reference 17

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Observation 6e018698-60c3-430e-9ea8-c0dcd44d32be · outbound

This paper cites Maier-Hein, and Fabian Isensee.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Maier-Hein, and Fabian Isensee

Reference 18

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Observation 599ab695-b88e-4786-8701-c038cc0deade · outbound

This paper cites Autopet iii challenge: Incorporating anatomical knowledge into nnunet for lesion segmentation in pet/ct, 2024.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Autopet iii challenge: Incorporating anatomical knowledge into nnunet for lesion segmentation in pet/ct, 2024

Reference 19

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Observation 0183cff1-5269-4f3c-b01b-af8520a4f4ca · outbound

This paper cites Rotkopf, Heinz-Peter Schlemmer, and Klaus Maier-Hein.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Rotkopf, Heinz-Peter Schlemmer, and Klaus Maier-Hein

Reference 20

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Observation eaffc4d0-df47-49ee-8a21-c0b139f052d6 · outbound

This paper cites nninteractive: Redefining 3d promptable segmentation, 2025.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT nninteractive: Redefining 3d promptable segmentation, 2025

Reference 21

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Observation 8c1902c6-c138-42d8-a2a8-fd5796123a4f · outbound

This paper cites Voxtell: Free-text promptable universal 3d medical image segmentation, 2025.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Voxtell: Free-text promptable universal 3d medical image segmentation, 2025

Reference 22

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Observation 5e024610-4f64-454e-94b5-8f76534260aa · outbound

This paper cites Glance and focus reinforcement for pan-cancer screening.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Glance and focus reinforcement for pan-cancer screening

Reference 23

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Observation 7aae1773-f73b-429c-9551-d8214c756259 · outbound

This paper cites A synthetic data-driven radiology foundation model for pan-tumor clinical diagnosis, 2026.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT A synthetic data-driven radiology foundation model for pan-tumor clinical diagnosis, 2026

Reference 24

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Observation 3568ccf5-34bc-4602-87ae-72afc187be36 · outbound

This paper cites Stahel, Martin W.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Stahel, Martin W

Reference 25

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Observation 8cfab064-68bb-42d4-9a8b-90a7bc5aff36 · outbound

This paper cites Lesion-segmentation, n.d.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Lesion-segmentation, n.d

Reference 26

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Observation 053ad213-eadb-47d7-8f0a-006fd32e4be4 · outbound

This paper cites Fully automated whole-body tumor segmentation on pet/ct using deep transfer learning.Journal of Nuclear Medicine, 65(supplement 2):241979–241979, 2024.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Fully automated whole-body tumor segmentation on pet/ct using deep transfer learning.Journal of Nuclear Medicine, 65(supplement 2):241979–241979, 2024

Reference 27

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Observation 9ddc7897-4084-4886-adb1-74ce2db3cea9 · outbound

This paper cites Whole-body tumor segmentation from pet/ct images using a two-stage cascaded neural network with camouflaged object detection mechanisms.Medical Physics, 50(10):6151–6162, 2023.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Whole-body tumor segmentation from pet/ct images using a two-stage cascaded neural network with camouflaged object detection mechanisms.Medical Physics, 50(10):6151–6162, 2023

Reference 28

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Observation 2f69ccd9-5772-4a60-a100-a2fd24b69c47 · outbound

This paper cites an unresolved cited work.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Unresolved cited work

Reference 29

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Observation 633001e5-4fab-43fe-a5d9-eb1b06dd4069 · outbound

This paper cites nnU-Net: a self- configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211, 2021.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT nnU-Net: a self- configuring method for deep learning-based biomedical image segmentation.Nature methods, 18(2):203–211, 2021

Reference 30

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Observation e9e50625-78cf-429e-9977-02da186e2a49 · outbound

This paper cites nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation

Reference 31

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Observation f388f699-f6cf-4938-8780-d1338c006747 · outbound

This paper cites https://deep-psma.grand-challenge.org/, 2025.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT https://deep-psma.grand-challenge.org/, 2025

Reference 32

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Observation 70c46cff-fe7c-4050-bb9d-fde385a6bfb7 · outbound

This paper cites Data from the acrin 6685 trial hnscc-fdg-pet/ct, 2019.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Data from the acrin 6685 trial hnscc-fdg-pet/ct, 2019

Reference 33

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Observation 796c6c86-7666-4582-8b58-1f5bf5ca15a7 · outbound

This paper cites Data from head-neck-pet-ct, 2017.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Data from head-neck-pet-ct, 2017

Reference 34

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Observation ecd86458-f9ad-4b4e-8041-bd2340a0ccbb · outbound

This paper cites Kadoch, Jeff Shrager, Andrew Quon, Daniel Rubin, Sylvia Plevritis, and Sandy Napel.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Kadoch, Jeff Shrager, Andrew Quon, Daniel Rubin, Sylvia Plevritis, and Sandy Napel

Reference 35

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Observation 324aac9f-501d-420d-aa05-05508d1f1441 · outbound

This paper cites Induction chemoradiation in stage iiia/n2 non-small-cell lung cancer: a phase 3 randomised trial.The Lancet, 386(9998):1049–1056, 2015.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Induction chemoradiation in stage iiia/n2 non-small-cell lung cancer: a phase 3 randomised trial.The Lancet, 386(9998):1049–1056, 2015

Reference 36

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Observation 86daa58d-326a-4fa4-beb3-e792e0430af3 · outbound

This paper cites Freeman, Sonia R.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Freeman, Sonia R

Reference 37

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Observation e9989dbc-c226-4660-bdd2-2761a8e8e390 · outbound

This paper cites Gabry´ s, Sabrina A.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Gabry´ s, Sabrina A

Reference 38

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Observation 95340bbb-cfd4-47f7-a380-bac804e072d5 · outbound

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GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Unresolved cited work

Reference 39

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Observation eee4de42-941e-49d2-934c-927e0a42be09 · outbound

This paper cites Data from the acrin 6685 trial hnscc-fdg- pet/ct, 2019.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Data from the acrin 6685 trial hnscc-fdg- pet/ct, 2019

Reference 40

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Observation 18c67aec-8fd6-4401-9526-c6d9f3139d34 · outbound

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GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Unresolved cited work

Reference 41

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Observation 07ed62b6-13bb-4259-995d-d5ddf10c67e2 · outbound

This paper cites Van Oss, G.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Van Oss, G

Reference 42

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Observation e6a1341b-32f7-4815-871f-9d2fff4a8086 · outbound

This paper cites Gabry´ s, Preethi Mohan, Matthias Guckenberger, and Stephanie Tanadini-Lang.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Gabry´ s, Preethi Mohan, Matthias Guckenberger, and Stephanie Tanadini-Lang

Reference 43

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Observation 69e49468-71b5-463b-b0ed-ecdb855f3d08 · outbound

This paper cites Gabry´ s.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Gabry´ s

Reference 44

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Observation 038c47b8-402d-47fc-b82d-137b0eefc0af · outbound

This paper cites Multitalent: A multi-dataset approach to medical image segmentation.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Multitalent: A multi-dataset approach to medical image segmentation

Reference 45

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Observation 738812ea-74f7-489c-946e-35505ff2b903 · outbound

This paper cites Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer.Scientific Reports, 13(1):19805, 2023.

GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for $^{18}$F-FDG-PET/CT Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer.Scientific Reports, 13(1):19805, 2023

Reference 46

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