A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement | Paper Citation Record

Observation b0a86c0c-f443-49ed-97ff-7cfccdd78467 · outbound

This paper cites IEEE Access7, 114862–114887 (2019).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement IEEE Access7, 114862–114887 (2019)

Reference 1

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Observation a9f1ca51-1678-4c69-8da6-3755eda2f846 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II 11, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II 11, pp

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:54.162489Z

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Observation 08b4ec8b-126d-4234-b0de-d142eb047bd2 · outbound

This paper cites The Visual Computer 39(5), 1929–1941 (2023).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement The Visual Computer 39(5), 1929–1941 (2023)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:54.149685Z

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Observation 95d25fda-9df0-4ce1-b001-9470d99e7d03 · outbound

This paper cites arxiv.(2020) 2020: 1–17.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement arxiv.(2020) 2020: 1–17

Reference 4

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This paper cites In: 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML), pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML), pp

Reference 5

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Observation efa37fac-329b-4fad-b647-5d8e7a5f8fcf · 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.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement 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 6

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Observation 174bc57d-c43b-42f0-b146-ac5282a25d0c · outbound

This paper cites an unresolved cited work.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Unresolved cited work

Reference 7

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Observation 4b7154e4-e93d-4fba-b9c9-be64d7ac5a45 · outbound

This paper cites nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

Reference 8

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Observation f724af33-61c0-4567-b51f-47dbd662796e · outbound

This paper cites IEEE transactions on medical imaging 37(12), 2663–2674 (2018).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement IEEE transactions on medical imaging 37(12), 2663–2674 (2018)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:54.089172Z

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Observation ea0aaf4f-8aec-4c1c-89ce-ea48bd041c68 · outbound

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

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 10

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This paper cites In: European Conference on Computer Vision, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: European Conference on Computer Vision, pp

Reference 11

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Observation 415963c8-4563-43c4-a8bd-ccadc5b2c57a · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 12

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Observation 72b01251-1ed3-4417-95ba-a6959c3dbb19 · outbound

This paper cites : Swin-umamba: Mamba-based unet with imagenet- based pretraining.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement : Swin-umamba: Mamba-based unet with imagenet- based pretraining

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:54.061789Z

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Observation e72ff5df-0d6d-49f0-bc30-04133c4a2587 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:54.049134Z

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Observation 94a8c0ba-6a9e-4648-80b0-90267f4f2396 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:54.036325Z

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Observation 2384c24c-f8b6-4a1f-a2e1-92250b7bd750 · outbound

This paper cites In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: The Thirty-eighth Annual Conference on Neural Information Processing Systems (2024)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:54.022636Z

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Observation 530d6bd5-144d-45e1-8058-0f9bfd252e71 · outbound

This paper cites IEEE Transactions on medical imaging 8(3), 263–269 (1989) 25.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement IEEE Transactions on medical imaging 8(3), 263–269 (1989) 25

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:54.009671Z

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Observation b15678d2-ec15-44cc-b8ba-43d529210761 · outbound

This paper cites In: Medical Image Computing and Computer-assisted intervention—MICCAI’98: First International Conference Cambridge, MA, USA, October 11–13, 1998 Proceedings 1, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Medical Image Computing and Computer-assisted intervention—MICCAI’98: First International Conference Cambridge, MA, USA, October 11–13, 1998 Proceedings 1, pp

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.996323Z

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Observation 3fc61c68-f396-43c3-aa6c-662bb7db3fde · outbound

This paper cites Computerized Medical Imaging and Graphics45, 47–56 (2015).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Computerized Medical Imaging and Graphics45, 47–56 (2015)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.983428Z

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This paper cites In: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16, pp

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.969470Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6de6fbc2-a086-431a-b70b-781daa9f8ff5 · outbound

This paper cites Medical Image Analysis 70, 102025 (2021).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Medical Image Analysis 70, 102025 (2021)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.955320Z

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Observation a8ebf776-a7b1-4b39-a68e-e94e6eb324ec · outbound

This paper cites Computers in Biology and Medicine 152, 106341 (2023).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Computers in Biology and Medicine 152, 106341 (2023)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.941959Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 18d1b660-58b1-439e-80bd-8558f430040a · outbound

This paper cites BioMed research international 2020(1), 7352129 (2020).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement BioMed research international 2020(1), 7352129 (2020)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.928140Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b2def97-0ec4-49b7-ab83-516bcece085d · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V 23, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V 23, pp

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.912575Z

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Observation 2fa9bf72-3e05-44a2-a34c-666b8834bd3a · outbound

This paper cites In: Medical Image Com- puting and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V 23, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Medical Image Com- puting and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V 23, pp

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.899515Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ea81bf0-ec66-4e56-834a-2bdea2f86e44 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics 25(7), 2722–2732 (2020).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement IEEE Journal of Biomedical and Health Informatics 25(7), 2722–2732 (2020)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.885646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64b6220f-d28b-4563-b635-beaaafd5b5c2 · outbound

This paper cites Knowledge-Based Systems 283, 111185 (2024).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Knowledge-Based Systems 283, 111185 (2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.871566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d288910-def5-4445-a394-7357ad83c846 · outbound

This paper cites Computers in Biology and Medicine 186, 109592 (2025).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Computers in Biology and Medicine 186, 109592 (2025)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.857567Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba3c8a5f-4d16-4586-aebb-2d5079463ebe · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 29

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Observation 2682ba1e-edbc-41aa-816f-d0c31d2ff27a · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:53.419727Z

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Observation 3f7405ad-4f6a-47cd-b023-a34e1adbe963 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.828146Z

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Observation 1e6644a4-7ded-4f0b-8714-6a9bbf63d50d · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 32

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Observation 9733af6e-032a-4619-a495-cafd4f4b91ab · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 33

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Observation df4c684c-1a1c-4c62-b6bd-d1e0397f53d0 · outbound

This paper cites RS-Mamba for Large Remote Sensing Image Dense Prediction.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement RS-Mamba for Large Remote Sensing Image Dense Prediction

Reference 34

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Observation 0f7fec8d-16e2-45d1-8529-29882ecc8913 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:53.439057Z

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Observation 13fec08e-e4b0-4366-b035-d4623ed27a99 · outbound

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

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp

Reference 36

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Observation b912284a-533e-4453-ab62-22f2e235cdd6 · outbound

This paper cites Mamba meets crack segmentation.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Mamba meets crack segmentation

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T12:09:53.560337Z

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Observation 02805f97-1b5c-44ac-bc56-b73ce10d6e1a · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.797982Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 13775cda-ba65-4f01-8fbc-c2f9b6b74735 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:53.455818Z

Source-reported events for the cited work

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Observation 1332c357-ce71-492e-a7dc-75d9b04642b4 · outbound

This paper cites IEEE transactions on medical imaging 23(4), 501–509 (2004).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement IEEE transactions on medical imaging 23(4), 501–509 (2004)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.776449Z

Source-reported events for the cited work

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Observation d3528407-0ab8-46dc-8031-39b0a10f0f95 · outbound

This paper cites IEEE Transactions on Medical imaging 19(3), 203–210 (2000).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement IEEE Transactions on Medical imaging 19(3), 203–210 (2000)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.762751Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a3466d5a-de4e-45e0-9146-767c3eae8927 · outbound

This paper cites Biomedical Signal Processing and Control 46, 1–9 (2018).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Biomedical Signal Processing and Control 46, 1–9 (2018)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.750077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b20380d3-446e-48d2-9135-68d1212c936e · outbound

This paper cites Ecology 26(3), 297–302 (1945).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Ecology 26(3), 297–302 (1945)

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:53.472154Z

Source-reported events for the cited work

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Observation 97df038f-6cbd-4c5a-8782-54c85f56ae70 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:53.476116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c0d629d-1ff3-444d-97c8-c9dd9482e708 · outbound

This paper cites Pattern recognition 30(7), 1145–1159 (1997).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Pattern recognition 30(7), 1145–1159 (1997)

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.720957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94c0910a-a5d1-41fe-b65b-38681ac00ea6 · outbound

This paper cites BMC medical imaging 15, 1–28 (2015).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement BMC medical imaging 15, 1–28 (2015)

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Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:53.484616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bd0d43-a262-4a50-85cb-6b50936f5060 · outbound

This paper cites In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part I 22, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part I 22, pp

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.699182Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb788d87-e618-472e-ac44-36e0e4e5e8cd · outbound

This paper cites HRFormer: High-Resolution Transformer for Dense Prediction.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement HRFormer: High-Resolution Transformer for Dense Prediction

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T12:09:53.492811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f0524cd-48d3-4e6f-9ec2-72383b29dcb7 · outbound

This paper cites Biomedical Signal Processing and Control 91, 105980 (2024).

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement Biomedical Signal Processing and Control 91, 105980 (2024)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.684108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17211514-e2a5-47de-8c6e-5a7ac763d218 · outbound

This paper cites In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.669935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 76f4ce69-b5f1-4b7d-8c3e-1342c3863a55 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:09:53.656937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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