Paper Citation Record · LEDGER

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis

As of 16 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 3 inbound Pith citation observations for arXiv:2412.05968.

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

pith.paper-citation-record.v1
2412.05968 v1

Coverage vector

measured 82 of 82 reference resolution

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One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:09:38.263791Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:48.343600Z

Reference resolution

82 of 82 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e1646b4-2119-4ab1-9bfd-fc93f5c397ab · outbound

This paper cites Automatic retinal vessel extraction algorithm,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Automatic retinal vessel extraction algorithm,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda06624-c2a9-45c3-9431-912408d9b808 · outbound

This paper cites Automatic retinal vessel extraction algorithm based on contrast- sensitive schemes,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Automatic retinal vessel extraction algorithm based on contrast- sensitive schemes,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:13.788617Z

Source-reported events for the cited work

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Observation 38e6fdb5-9671-43be-a577-961d06794683 · outbound

This paper cites Boosting sensitivity of a retinal vessel segmentation algorithm,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Boosting sensitivity of a retinal vessel segmentation algorithm,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.651226Z

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Observation fe0807a2-3fc2-4b5b-bcf0-1b1273fca9e5 · outbound

This paper cites Impact of ica-based image enhancement technique on retinal blood vessels segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Impact of ica-based image enhancement technique on retinal blood vessels segmentation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.636387Z

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Observation 7701e538-b3c9-47a6-865f-372ec0317a6a · outbound

This paper cites A generalized multi-scale line-detection method to boost retinal vessel segmentation sensitivity,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis A generalized multi-scale line-detection method to boost retinal vessel segmentation sensitivity,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.622449Z

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Observation 41c4a75a-2153-457a-9285-c18760bc1ca8 · outbound

This paper cites Ggm classifier with multi-scale line detectors for retinal vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Ggm classifier with multi-scale line detectors for retinal vessel segmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.608208Z

Source-reported events for the cited work

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Observation ffef2cc2-2240-4a55-b38b-7f2275fec8d2 · outbound

This paper cites An improved retinal vessel segmentation framework using frangi filter coupled with the probabilistic patch based denoiser,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis An improved retinal vessel segmentation framework using frangi filter coupled with the probabilistic patch based denoiser,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.594173Z

Source-reported events for the cited work

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Observation 72550edb-1fe4-4628-a53f-d18d1bcd1700 · outbound

This paper cites A multi- scale directional line detector for retinal vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis A multi- scale directional line detector for retinal vessel segmentation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.579469Z

Source-reported events for the cited work

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Observation 322622c4-9676-4fb6-a16d-320ad386af77 · outbound

This paper cites The use of fourier phase symmetry for thin vessel detection in retinal fundus images,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis The use of fourier phase symmetry for thin vessel detection in retinal fundus images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.565804Z

Source-reported events for the cited work

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Observation 17a9e388-e544-4946-b9e7-de190ff5e308 · outbound

This paper cites Shallow vessel segmentation network for automatic retinal vessel seg- mentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Shallow vessel segmentation network for automatic retinal vessel seg- mentation,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.552251Z

Source-reported events for the cited work

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Observation 0caeaf0e-a7ee-4efc-9f33-7c2fe1abb0a4 · outbound

This paper cites Exploiting residual edge information in deep fully convolutional neural networks for retinal vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Exploiting residual edge information in deep fully convolutional neural networks for retinal vessel segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.538726Z

Source-reported events for the cited work

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Observation ab02ad88-100c-48a2-8f7b-1795c433c0cd · outbound

This paper cites A semantically flexible feature fusion network for retinal vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis A semantically flexible feature fusion network for retinal vessel segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.524418Z

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Observation 14f9cccf-dd49-44b9-9ca8-d45500a520cb · outbound

This paper cites Towards automated eye diagnosis: an improved retinal vessel segmentation framework using ensemble block matching 3d filter,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Towards automated eye diagnosis: an improved retinal vessel segmentation framework using ensemble block matching 3d filter,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.510826Z

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Observation b6fcfe3f-061f-4d4b-be6f-ba358d41c4fb · outbound

This paper cites A review on glaucoma disease detection using computerized techniques,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis A review on glaucoma disease detection using computerized techniques,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.496492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 661941b6-9ca7-430d-a3eb-2c59237ab387 · outbound

This paper cites Screening of glaucoma disease from retinal vessel images using se- mantic segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Screening of glaucoma disease from retinal vessel images using se- mantic segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.482886Z

Source-reported events for the cited work

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Observation 45eb8684-d47d-4c1c-8a29-dcef3efb81a7 · outbound

This paper cites Retinal capillary microvessel morphology changes are associated with vascular damage and dysfunction in cerebral small vessel disease,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Retinal capillary microvessel morphology changes are associated with vascular damage and dysfunction in cerebral small vessel disease,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.469672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 76e6241b-aeac-4709-a30a-a2ee57a1adba · outbound

This paper cites Alzheimer’s retinopathy: seeing disease in the eyes,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Alzheimer’s retinopathy: seeing disease in the eyes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.456158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cbb5fe1c-554a-49d5-aaa0-cb7729f4800d · outbound

This paper cites Residual multiscale full convolutional network (rm-fcn) for high resolution se- mantic segmentation of retinal vasculature,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Residual multiscale full convolutional network (rm-fcn) for high resolution se- mantic segmentation of retinal vasculature,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.442491Z

Source-reported events for the cited work

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Observation d667bd89-0f58-4669-a4ce-a76aed4c9aa8 · outbound

This paper cites Width-wise vessel bifurcation for improved retinal vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Width-wise vessel bifurcation for improved retinal vessel segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.428598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3656ac87-75c9-4224-88d6-7746b8503699 · outbound

This paper cites Glan: Gan assisted lightweight attention network for biomedical imaging based diagnostics,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Glan: Gan assisted lightweight attention network for biomedical imaging based diagnostics,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.414686Z

Source-reported events for the cited work

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Observation ef8c1406-a8a8-4533-b08c-c28e9ceebc12 · outbound

This paper cites Retinal vessel segmentation via a multi-resolution contextual network and adversarial learning,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Retinal vessel segmentation via a multi-resolution contextual network and adversarial learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.400032Z

Source-reported events for the cited work

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Observation 28ea4b47-b18f-4ae2-9d07-7dc888deec70 · outbound

This paper cites Lmbf- net: A lightweight multipath bidirectional focal attention network for multifeatures segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Lmbf- net: A lightweight multipath bidirectional focal attention network for multifeatures segmentation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.384157Z

Source-reported events for the cited work

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Observation d36c72f3-534a-4808-95a9-7e08a4f2097d · outbound

This paper cites TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:13:14.518314Z

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Observation 63decde2-2fdc-4f9a-9b30-bcd736a7d4ad · outbound

This paper cites EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:13:14.494542Z

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Observation 3071630c-fc8d-42ff-a3f0-1219fa6ea5b6 · outbound

This paper cites Tbconvl-net: A hybrid deep learning architecture for robust medical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Tbconvl-net: A hybrid deep learning architecture for robust medical image segmentation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.368969Z

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Observation a40d596d-4915-4455-9104-1154a131b2d0 · outbound

This paper cites Ad-net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Ad-net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.354613Z

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Observation 6120771f-fc73-4ed7-9edb-02196ac5af16 · outbound

This paper cites Lssf-net: Lightweight segmentation with self-awareness, spatial atten- tion, and focal modulation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Lssf-net: Lightweight segmentation with self-awareness, spatial atten- tion, and focal modulation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.339918Z

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Observation e343fd8d-ba13-4d9c-b3be-60408e731d9c · outbound

This paper cites Advancing metaverse- based healthcare with multimodal neuroimaging fusion via multi-task adversarial variational autoencoder for brain age estimation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Advancing metaverse- based healthcare with multimodal neuroimaging fusion via multi-task adversarial variational autoencoder for brain age estimation,

Reference 28

Resolution: verified exact; raw_fallback, observed 2026-08-11T20:13:14.473744Z

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Observation a752ddff-4f60-40b2-a5cb-f6ace718b3a3 · outbound

This paper cites Imaging the retinal vasculature,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Imaging the retinal vasculature,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.323547Z

Source-reported events for the cited work

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Observation 3d27f832-a154-4046-97b3-b90eea8fc6db · outbound

This paper cites Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Robust retinal blood vessel segmentation using a patch-based statistical adaptive multi-scale line detector,

Reference 30

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Source-reported events for the cited work

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Observation b87f5c53-1376-417a-84c1-ffec14d9f034 · outbound

This paper cites Semantic segmentation of retinal exudates using a residual encoder–decoder architecture in diabetic retinopathy,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Semantic segmentation of retinal exudates using a residual encoder–decoder architecture in diabetic retinopathy,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.299938Z

Source-reported events for the cited work

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Observation d153f299-36b0-4214-988e-93a5f2e1c54c · outbound

This paper cites Retinalitenet: A lightweight transformer based cnn for retinal feature segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Retinalitenet: A lightweight transformer based cnn for retinal feature segmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.285806Z

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Observation b3219e5d-d850-4ec3-a197-e5ddf22f61cc · outbound

This paper cites Feature enhancer segmentation network (fes-net) for vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Feature enhancer segmentation network (fes-net) for vessel segmentation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.272063Z

Source-reported events for the cited work

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Observation d0471592-42ca-40b8-8187-a09bf0f4db7f · outbound

This paper cites LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis LMBiS-Net: A Lightweight Multipath Bidirectional Skip Connection based CNN for Retinal Blood Vessel Segmentation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:13:14.366079Z

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Observation 0e78ad00-8795-44b9-9c9f-274c3669fcdc · outbound

This paper cites Ldmres-net: A lightweight neural network for efficient medical image segmentation on iot and edge devices,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Ldmres-net: A lightweight neural network for efficient medical image segmentation on iot and edge devices,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.258214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f02b570c-a513-4980-bad4-fa4212338394 · outbound

This paper cites Vessel intensity profile uniformity improvement for retinal vessel seg- mentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Vessel intensity profile uniformity improvement for retinal vessel seg- mentation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.244041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 553256a6-feb4-484e-aa02-98e00bbb4704 · outbound

This paper cites Lmbis-net: A lightweight bidirectional skip connection based multipath cnn for retinal blood vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Lmbis-net: A lightweight bidirectional skip connection based multipath cnn for retinal blood vessel segmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.229367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 789b324d-d224-4394-b573-473d430099f8 · outbound

This paper cites Region Guided Attention Network for Retinal Vessel Segmentation.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Region Guided Attention Network for Retinal Vessel Segmentation

Reference 38

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Observation 68d86e43-cb0e-42a5-a932-75afbf372b82 · outbound

This paper cites Recent trends and advances in fundus image analysis: A review,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Recent trends and advances in fundus image analysis: A review,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.214193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 204b5726-9a8f-4813-ba92-982093165ac4 · outbound

This paper cites Rc-net: A convolutional neural network for retinal vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Rc-net: A convolutional neural network for retinal vessel segmentation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.198997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89709613-6ee1-4d6b-9cd2-1626a79a985e · outbound

This paper cites Leveraging image complexity in macro-level neural network design for medical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Leveraging image complexity in macro-level neural network design for medical image segmentation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.184977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b7204b9b-84db-45eb-ae2c-592e6fa147f0 · outbound

This paper cites T-net: A resource- constrained tiny convolutional neural network for medical image seg- mentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis T-net: A resource- constrained tiny convolutional neural network for medical image seg- mentation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.170362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e6848d9-2b2e-44df-a520-47396debf99c · outbound

This paper cites G-net light: A lightweight modified google net for retinal vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis G-net light: A lightweight modified google net for retinal vessel segmentation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.156224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9108cf4f-a301-4453-82ae-5617af7958fc · outbound

This paper cites Prompt deep light-weight vessel segmentation network (plvs-net),.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Prompt deep light-weight vessel segmentation network (plvs-net),

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.141271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d6a9cf92-0e9c-42a8-8d6c-7dc2eb0504f1 · outbound

This paper cites Mkis-net: a light-weight multi-kernel network for medical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Mkis-net: a light-weight multi-kernel network for medical image segmentation,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:13.984857Z

Source-reported events for the cited work

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Observation b17ec095-aaa5-4fd8-9b4f-cdff837839fa · outbound

This paper cites Focal modulation networks,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Focal modulation networks,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.126521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e93ce145-a70b-4e24-950f-2580384e279d · outbound

This paper cites Spatial attention for multi-scale feature refinement for object detection,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Spatial attention for multi-scale feature refinement for object detection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.110989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 62de0abc-664a-4bca-8755-19ff0927f0cf · outbound

This paper cites A manually- labeled, artery/vein classified benchmark for the drive dataset,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis A manually- labeled, artery/vein classified benchmark for the drive dataset,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.095014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3ac2730c-6dbf-4a82-b79e-4dbb2d9e9943 · outbound

This paper cites Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.078914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ec695612-e0ae-40cd-9314-1afc7592f123 · outbound

This paper cites Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.065018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f3ea478-918a-4e05-a8e3-a89d67fd9cfa · outbound

This paper cites Msganet-rav: A multiscale guided attention network for artery-vein segmentation and classification from optic disc and retinal images,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Msganet-rav: A multiscale guided attention network for artery-vein segmentation and classification from optic disc and retinal images,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.050254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 72f2e4e4-cff6-4d14-b08e-d947d41d8120 · outbound

This paper cites Artery–vein segmentation in fundus images using a fully convolutional network,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Artery–vein segmentation in fundus images using a fully convolutional network,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.035882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 71d245ca-efd1-47f1-a202-dd27503c0571 · outbound

This paper cites Fractal dimension of retinal vasculature as an image quality metric for automated fundus image analysis systems,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Fractal dimension of retinal vasculature as an image quality metric for automated fundus image analysis systems,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.020695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 257cb278-7e3e-4d9a-a20f-aceeeb917ef8 · outbound

This paper cites Dual-channel asymmetric convolutional neural network for an efficient retinal blood vessel segmentation in eye fundus images,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Dual-channel asymmetric convolutional neural network for an efficient retinal blood vessel segmentation in eye fundus images,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:15.005312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b1e6b285-8304-4faf-9850-36d8a2106285 · outbound

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

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:14.032667Z

Source-reported events for the cited work

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Observation cf78f1dc-2041-4397-a1bc-6c11ec7ea140 · outbound

This paper cites SegViT: Semantic Segmentation with Plain Vision Transformers.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis SegViT: Semantic Segmentation with Plain Vision Transformers

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:14.037130Z

Source-reported events for the cited work

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Observation b53f0968-cb9d-42fc-bce7-1c4e27964d8a · outbound

This paper cites Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Rethinking semantic segmentation from a sequence-to-sequence perspective with transformers,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.990132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 413ef3ac-c6ab-4c78-911e-561ec38b4f83 · outbound

This paper cites Segmenter: Trans- former for semantic segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Segmenter: Trans- former for semantic segmentation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.976313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97c8828a-e8bc-41ae-b64c-04ce53bd956d · outbound

This paper cites Vision transformers for dense prediction,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Vision transformers for dense prediction,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.961633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation da616453-397a-46cf-884b-314328f2e0c8 · outbound

This paper cites Full-resolution network and dual-threshold iteration for retinal vessel and coronary angiograph segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Full-resolution network and dual-threshold iteration for retinal vessel and coronary angiograph segmentation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.948091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 787800d8-a6f7-4de2-bfaf-32465268c97e · outbound

This paper cites DENSE-INception U-net for medical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis DENSE-INception U-net for medical image segmentation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.933706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5918059f-afa3-4cec-9976-5262c29b9821 · outbound

This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.919568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 49fad6c0-1b84-4f27-96e2-66b0f8ec3eeb · outbound

This paper cites Lightweight V-Net for liver segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Lightweight V-Net for liver segmentation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.905592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 074f0ecd-024c-4527-b11c-daee9e5b92d0 · outbound

This paper cites Lightweight U-Nets for brain tumor segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Lightweight U-Nets for brain tumor segmentation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.891365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e0977b0a-a451-45ff-afa0-956210e96a5d · outbound

This paper cites PyConvU-Net: A lightweight and multiscale network for biomedical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis PyConvU-Net: A lightweight and multiscale network for biomedical image segmentation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.876902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ae15ba5f-8cba-47b2-b819-8c9852ed835a · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:14.082310Z

Source-reported events for the cited work

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Observation 0a03a40f-6409-49e5-920b-e10f5bb43989 · outbound

This paper cites Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.746620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 26ea709b-7561-402f-bd60-d13f15f2c474 · outbound

This paper cites One-shot retinal artery and vein segmentation via cross-modality pretraining,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis One-shot retinal artery and vein segmentation via cross-modality pretraining,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.731656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 49e11f4e-b060-440b-bbfb-0cfa8bc5de96 · outbound

This paper cites Lunet: deep learning for the segmentation of arterioles and venules in high resolution fundus images,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Lunet: deep learning for the segmentation of arterioles and venules in high resolution fundus images,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.716173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ce0863c0-b384-4f1f-a379-287fd41e61fd · outbound

This paper cites Multi- scale interactive network with artery/vein discriminator for retinal vessel classification,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Multi- scale interactive network with artery/vein discriminator for retinal vessel classification,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.700861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ecbbe45f-b9cf-494f-ba95-1fd8b80cb0e3 · outbound

This paper cites Multi- task neural networks with spatial activation for retinal vessel seg- mentation and artery/vein classification,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Multi- task neural networks with spatial activation for retinal vessel seg- mentation and artery/vein classification,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.686592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d91ce448-2218-44b1-9d8c-427eefff1f16 · outbound

This paper cites Lightweight attention convolutional neural network for retinal vessel image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Lightweight attention convolutional neural network for retinal vessel image segmentation,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.671543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation deee1e22-5b90-4108-a810-0402f8ced560 · outbound

This paper cites Retinal vessel segmentation using deep learning: a review,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Retinal vessel segmentation using deep learning: a review,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.656861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c8066273-b9a1-4a70-bc6a-69373ac6bb2b · outbound

This paper cites Automated separation of binary overlapping trees in low-contrast color retinal images,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Automated separation of binary overlapping trees in low-contrast color retinal images,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.642711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4049df5-de70-4a28-b475-7d5acaa43abc · outbound

This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis U-Net: Convolutional net- works for biomedical image segmentation,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.626656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7e907a45-2c19-4823-b19e-14b0c5fb85b1 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Attention U-Net: Learning Where to Look for the Pancreas

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T20:13:14.127775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7b7dfdd-50db-4979-9c62-aa486e4a9a3f · outbound

This paper cites Multiresunet: Rethinking the u-net architecture for multimodal biomedical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Multiresunet: Rethinking the u-net architecture for multimodal biomedical image segmentation,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.611107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9e9ad53e-0c6e-4a86-aac8-26b0a3055c69 · outbound

This paper cites Bi- directional convlstm u-net with densley connected convolutions,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Bi- directional convlstm u-net with densley connected convolutions,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.596156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4365b40b-eb60-44a5-87e3-867c08806044 · outbound

This paper cites Segnet: A deep con- volutional encoder-decoder architecture for image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Segnet: A deep con- volutional encoder-decoder architecture for image segmentation,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.578791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a73121ea-807f-48b0-8197-f3b25a5777a9 · outbound

This paper cites UNet++: A nested u-net architecture for medical image segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis UNet++: A nested u-net architecture for medical image segmentation,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.563853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 254aba5f-85f3-4c13-b481-e910558aa410 · outbound

This paper cites Retinalitenet: A lightweight transformer based cnn for retinal feature segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis Retinalitenet: A lightweight transformer based cnn for retinal feature segmentation,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.548525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd33a6fc-ed5b-4cd4-8b46-8805758b3f40 · outbound

This paper cites An ensemble classification-based ap- proach applied to retinal blood vessel segmentation,.

LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis An ensemble classification-based ap- proach applied to retinal blood vessel segmentation,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:13:14.532672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

Observation 940ba2f2-182a-41fe-b02f-8ef84213035e · inbound

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation cites this paper.

Focal Modulation and Bidirectional Feature Fusion Network for Medical Image Segmentation LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:15:51.411044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dc8584dc-084a-4cd6-9105-8e2d3d803a65 · inbound

Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation cites this paper.

Vision Transformer-Conditioned UNet for Domain-Adaptive Semantic Segmentation LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:43:51.183812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 87cd7679-ffbf-49e4-aae1-feff17ef3586 · inbound

LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation cites this paper.

LightVesselNet: An Ultra-Lightweight Sub-100K Parameter Network for Retinal Blood Vessel Segmentation LVS-Net: A Lightweight Vessels Segmentation Network for Retinal Image Analysis

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:48.345097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.