Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction | Paper Citation Record

Observation f6d06b3d-5916-4e7a-a077-72be30a5a28d · outbound

This paper cites Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke,

Reference 1

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Observation 4e1f9e4b-e083-47e1-bd37-d65030c950db · outbound

This paper cites Annotation-efficient deep learning for automatic medical image segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Annotation-efficient deep learning for automatic medical image segmentation,

Reference 2

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Observation 45d2b7a2-fb0a-47f9-b393-238b5e653ecc · outbound

This paper cites Detection of blood vessels in retinal images using two-dimensional matched filters,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Detection of blood vessels in retinal images using two-dimensional matched filters,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.407032Z

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Observation c1c1cab8-ddca-45ae-ae47-045682281ad4 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 5

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Observation 38c70e97-ae07-4b2d-b40f-24e57ec15185 · outbound

This paper cites ImageNet Classifica- tion with Deep Convolutional Neural Networks,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction ImageNet Classifica- tion with Deep Convolutional Neural Networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.370485Z

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Observation 1552e362-efba-4e43-b0c4-a9f2e69a6d66 · outbound

This paper cites Large-scale Multi-modal Pre-trained Models: A Comprehen- sive Survey,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Large-scale Multi-modal Pre-trained Models: A Comprehen- sive Survey,

Reference 7

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Observation b6a8fb00-9c2e-4990-a236-65d8654debe4 · outbound

This paper cites Segment Anything,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Segment Anything,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.345211Z

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Observation 3f8324bd-78a1-419a-93a8-ccda218b2c77 · outbound

This paper cites Segment Anything Model for Medical Images?.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Segment Anything Model for Medical Images?

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.333151Z

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Observation bf7d367a-b052-4b0d-9cbe-369c78a0a5c1 · outbound

This paper cites Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation,

Reference 10

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Observation d22a899c-a31b-456b-8663-24409d52210e · outbound

This paper cites A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction A Deep Learning Design for Improving Topology Coherence in Blood Vessel Segmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.315390Z

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Observation d01fba45-c48c-442c-a256-90df91c22e95 · outbound

This paper cites clDice – A Novel Topology- Preserving Loss Function for Tubular Structure Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction clDice – A Novel Topology- Preserving Loss Function for Tubular Structure Segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.302782Z

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Observation c7e81a57-8ee5-4df9-8df3-e13b56dfd798 · outbound

This paper cites SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction SCS-Net: A Scale and Context Sensitive Network for Retinal Vessel Segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.288982Z

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Observation de4c028c-020b-43ef-972a-2dc862ea5947 · outbound

This paper cites Covi-net: A hybrid convolutional and vision transformer neural network for retinal vessel segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Covi-net: A hybrid convolutional and vision transformer neural network for retinal vessel segmentation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.276846Z

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Observation 512b368a-fc32-4739-8b09-1fa3e6aba758 · outbound

This paper cites Cross-patch feature interactive net with edge refinement for retinal vessel segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Cross-patch feature interactive net with edge refinement for retinal vessel segmentation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.264689Z

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Observation 34252b4d-30e8-405b-9137-a104974ce35c · outbound

This paper cites Retinal OCTA Image Segmen- tation Based on Global Contrastive Learning,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Retinal OCTA Image Segmen- tation Based on Global Contrastive Learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.240944Z

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Observation c2bfbd71-dc18-46be-b5a7-a4747f2f3d1e · outbound

This paper cites Rose: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Rose: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.227344Z

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Observation 04650740-8aa1-4683-82e3-bfc104fb5c88 · outbound

This paper cites Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Optimizing ensemble U-Net architectures for robust coronary vessel segmentation in angiographic images,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.216006Z

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Observation 7092af25-271f-4ad3-9b05-0f6dce6fb74e · outbound

This paper cites Segment anything in medical images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Segment anything in medical images,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.192584Z

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Observation 2d78fada-64f3-4606-9208-3c7334308615 · outbound

This paper cites SAM-Med2D.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction SAM-Med2D

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.175012Z

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Observation e22aadbe-4468-4213-b15d-2a4802652bdb · outbound

This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.179865Z

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Observation 416ed04e-1db4-4f66-8628-9bfd59822989 · outbound

This paper cites Customized Segment Anything Model for Medical Image Segmentation.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Customized Segment Anything Model for Medical Image Segmentation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.183970Z

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Observation 8fae4ab4-c508-4816-ae35-14d0dc09835f · outbound

This paper cites Ladder Fine-tuning approach for SAM integrating complementary network.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Ladder Fine-tuning approach for SAM integrating complementary network

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.188109Z

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Observation 56bfdc56-98a5-4439-8efc-c55014fde3f9 · outbound

This paper cites Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.191963Z

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Observation 71e69263-e661-4e8b-b463-a2bf55696225 · outbound

This paper cites DB-SAM: Delving into High Quality Universal Medical Image Segmentation.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction DB-SAM: Delving into High Quality Universal Medical Image Segmentation

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:56:50.565867Z

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Observation 4a298134-43cc-4cd7-b943-feff122421d9 · outbound

This paper cites Segment Anything in High Quality,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Segment Anything in High Quality,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.177348Z

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Observation 2529c406-be70-4c5e-9056-e0d102c45f61 · outbound

This paper cites Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.203340Z

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Observation 93081182-c602-4a02-aeb7-a5ee91c4eaf1 · outbound

This paper cites CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.165806Z

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Observation 95cc80ca-97f8-42a5-a067-2bb9b0cff295 · outbound

This paper cites Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Deep Closing: Enhancing Topological Connectivity in Medical Tubular Segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.154618Z

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Observation b4eacf96-4cba-4e01-a9fe-68c73f8c06fa · outbound

This paper cites Convolutional CRFs for Semantic Segmentation.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Convolutional CRFs for Semantic Segmentation

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:56:50.539267Z

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Observation 3e5070fd-9ca3-48f3-88a1-af78ebab4997 · outbound

This paper cites DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.143135Z

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Observation f571dc8e-a3cc-4c44-8e07-6341df9c05ae · outbound

This paper cites VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clustering

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.222583Z

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Observation 7940780c-d9a0-4d93-8aea-b39a4dd5b3ae · outbound

This paper cites SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Dif- fusion Process,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Dif- fusion Process,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.131034Z

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Observation 51b053f4-8efa-490d-a6b8-b86c8f391daa · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Masked Autoencoders Are Scalable Vision Learners,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.119085Z

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Observation 8e7d3b99-95ee-4f55-bf01-b3c79b0f0e99 · outbound

This paper cites A ConvNet for the 2020s,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction A ConvNet for the 2020s,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.107562Z

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Observation 2090d13a-96ea-41af-9260-dd104e2004d3 · outbound

This paper cites Automatic Segmentation of Coronary Arteries in X-ray Angiograms using Multiscale Analysis and Artificial Neural Networks,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Automatic Segmentation of Coronary Arteries in X-ray Angiograms using Multiscale Analysis and Artificial Neural Networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.096061Z

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Observation 2b1caa5e-3872-4cd9-929f-8ada5c7ae0ca · outbound

This paper cites Self-Supervised Vessel Segmentation via Adversarial Learning,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Self-Supervised Vessel Segmentation via Adversarial Learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.084744Z

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Observation 20d15bec-1fa2-48ed-99f9-803018a88e98 · outbound

This paper cites Enhancement of blood vessels in digital fundus photographs via the application of multiscale line operators,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Enhancement of blood vessels in digital fundus photographs via the application of multiscale line operators,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.246196Z

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Observation 6e622209-de10-45eb-9da5-9db9d4ff9e10 · outbound

This paper cites Measuring retinal vessel tortu- osity in 10-year-old children: validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) program,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Measuring retinal vessel tortu- osity in 10-year-old children: validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) program,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.066889Z

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Observation 7d181fdc-f88d-48f5-8a96-a532e2b90fa0 · outbound

This paper cites DR HAGIS- a fundus image database for the automatic extraction of retinal surface vessels from diabetic patients,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction DR HAGIS- a fundus image database for the automatic extraction of retinal surface vessels from diabetic patients,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.054646Z

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Observation bee92fd8-c1f8-4211-801d-023cdba4ef53 · outbound

This paper cites Ridge-based vessel segmentation in color images of the retina,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Ridge-based vessel segmentation in color images of the retina,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.257614Z

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Observation bf4e46cd-88ac-4c86-b55e-20d87a125a15 · outbound

This paper cites FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.035429Z

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Observation 2694172e-cd6d-4cac-8751-5389dc87be2f · outbound

This paper cites Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Retinal vessel segmentation by improved matched filtering: evaluation on a new high-resolution fundus image database,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.023870Z

Source-reported events for the cited work

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Observation 8b56804c-be0e-4aba-bb42-32daaf36dda8 · outbound

This paper cites Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.009991Z

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Observation ef9b43c3-6c2f-40e0-b2cb-31e7dcaf4106 · outbound

This paper cites Towards a glaucoma risk index based on simulated hemodynamics from fundus images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Towards a glaucoma risk index based on simulated hemodynamics from fundus images,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.997259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c298e0f-1732-4321-9791-efcacb606d5d · outbound

This paper cites Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Transfer Learning Through Weighted Loss Function and Group Normalization for Vessel Segmentation from Retinal Images,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.984275Z

Source-reported events for the cited work

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Observation 037ca9f5-93f7-44b1-9994-556e3c6e4548 · outbound

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

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.392938Z

Source-reported events for the cited work

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Observation 24cdaf6c-19ec-46cc-85db-c98fce28c2d3 · outbound

This paper cites An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction An Accurate and Efficient Neural Network for OCTA Vessel Segmentation and a New Dataset,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.253118Z

Source-reported events for the cited work

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Observation 1194b56f-d4b5-498f-93c6-efd72995dfe6 · outbound

This paper cites OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Study,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.970503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b1210c5-7f74-4c04-b228-b8293a94c502 · outbound

This paper cites Dr-SAM: An End-to-End Framework for Vascular Segmentation Diameter Estimation and Anomaly Detection on An- giography Images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Dr-SAM: An End-to-End Framework for Vascular Segmentation Diameter Estimation and Anomaly Detection on An- giography Images,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.955832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 01ec9f4e-2091-4931-88b2-f6bf04f776fd · outbound

This paper cites How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.298999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db55ba98-cde5-4f8b-9b5a-0796bdaeb288 · outbound

This paper cites Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.302957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 822ad230-5d43-41cf-80c5-6481b24b7eaa · outbound

This paper cites SPIRONet: Spatial-Frequency Learning and Graph-based Channel Interaction Network for Vessel Segmentation.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction SPIRONet: Spatial-Frequency Learning and Graph-based Channel Interaction Network for Vessel Segmentation

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:56:50.489290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e090094f-673f-4cf3-ac5b-c2f92e3fd524 · outbound

This paper cites Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:51.204028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b7b95cfa-da9b-4015-b285-77d2bff09140 · outbound

This paper cites OCT2Former: A retinal OCT-angiography vessel segmentation transformer,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction OCT2Former: A retinal OCT-angiography vessel segmentation transformer,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.944416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8d18de0-b001-4ed7-8917-d866f1ee6dd3 · outbound

This paper cites Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Feature Enhancer Segmentation Network (FES-Net) for Vessel Segmentation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.932907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5725775b-a258-4a0d-8ffd-5aaebe4f4576 · outbound

This paper cites LMBiS-Net: A lightweight bidirectional skip connection based multipath CNN for retinal blood vessel segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction LMBiS-Net: A lightweight bidirectional skip connection based multipath CNN for retinal blood vessel segmentation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.920521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4117cbaa-a1d3-4d8f-8469-6f9fb712cd7f · outbound

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

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction U-net: Convolutional networks for biomedical image segmentation,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.325723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b13ad42-03d0-41be-9857-f15845ae3264 · outbound

This paper cites UNet++: A Nested U-Net Architecture for Medical Image Segmen- tation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction UNet++: A Nested U-Net Architecture for Medical Image Segmen- tation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.900064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 074e8ace-e74a-4001-91c7-a904a27fd244 · outbound

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

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Attention U- Net: Learning Where to Look for the Pancreas,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.888028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1701a2d8-93f2-4a42-988c-f859e02c6835 · outbound

This paper cites CE-Net: Context Encoder Network for 2D Medical Image Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction CE-Net: Context Encoder Network for 2D Medical Image Segmentation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.875237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a4a3a2a-d51f-43a0-9cfd-9f40345ed829 · outbound

This paper cites CAU-net: A Novel Convolutional Neural Network for Coronary Artery Segmentation in Digital Substraction angiography,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction CAU-net: A Novel Convolutional Neural Network for Coronary Artery Segmentation in Digital Substraction angiography,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.861998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7629b5c6-9fa7-4e75-a9eb-da02d02f1265 · outbound

This paper cites CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.848952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6d909d86-cbf5-472b-b49c-4f64024cbe1a · outbound

This paper cites Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.837290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e764f64-dd0e-44a8-a4dd-daf62fcb6c89 · outbound

This paper cites Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.826126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 81caa5fb-b6c5-4c5f-9fc4-fde3d20bd7ae · outbound

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

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.356913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edb41133-8771-438a-9e4e-3aad1e564634 · outbound

This paper cites CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction CS-Net: Channel and Spatial Attention Network for Curvilinear Structure Segmentation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.814905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e419381-c1f6-4622-9957-f43db9fdb92e · outbound

This paper cites H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmen- tation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmen- tation,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.364949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd10ee19-d839-4b47-85fe-1456782eac40 · outbound

This paper cites MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction MFI-Net: Multiscale Feature Interaction Network for Retinal Vessel Segmentation,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.795155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b627161-236d-4a9b-8115-f67e1465cd16 · outbound

This paper cites Swin-Unet: Unet-like Pure Transformer for Medical Image Segmenta- tion,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Swin-Unet: Unet-like Pure Transformer for Medical Image Segmenta- tion,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.784091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 764671b6-a801-4551-94ab-f71918ae99be · outbound

This paper cites A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction A Deep Neural Network for Vessel Segmentation of Scanning Laser Ophthalmoscopy Images,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.772129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5061f21a-e9c6-47d4-9945-dceb7844912b · outbound

This paper cites SA- UNet: Spatial Attention U-Net for Retinal Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction SA- UNet: Spatial Attention U-Net for Retinal Vessel Segmentation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.760010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c50a2a67-93fe-4ef3-98d9-306eb92a097d · outbound

This paper cites Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:50.384602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45658425-a22e-49a4-a14a-08a59e7d6243 · outbound

This paper cites Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.747947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 038553da-6810-477b-be4c-480c749e32f7 · outbound

This paper cites Collaborative Network for Super- Resolution and Semantic Segmentation of Remote Sensing Images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Collaborative Network for Super- Resolution and Semantic Segmentation of Remote Sensing Images,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.736915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b9b7027-5eb6-4f6a-b38a-9dccaa332229 · outbound

This paper cites A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction A visual attention guided unsupervised feature learning for robust vessel delineation in retinal images,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.725544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5309d34-e315-4a00-b1f7-5798b0fe41d5 · outbound

This paper cites SuperVessel: Seg- menting High-Resolution Vessel from Low-Resolution Retinal Image,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction SuperVessel: Seg- menting High-Resolution Vessel from Low-Resolution Retinal Image,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.714365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4319147-2f93-4b09-b335-dd2b383b1b9c · outbound

This paper cites Retinal Vessel Segmentation Using Multi-Scale Residual Convolutional Neural Network (MSR-Net) Combined with Generative Adversarial Networks,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Retinal Vessel Segmentation Using Multi-Scale Residual Convolutional Neural Network (MSR-Net) Combined with Generative Adversarial Networks,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.701524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e580d12-91d5-4ba5-9d66-45c5a1d01258 · outbound

This paper cites SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction SUD-GAN: Deep Convolution Generative Adversarial Network Combined with Short Connection and Dense Block for Retinal Vessel Segmentation,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.688923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c52b170-7df6-49bd-8ff2-abe47467e900 · outbound

This paper cites ErrorNet: Learning er- ror representations from limited data to improve vascular segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction ErrorNet: Learning er- ror representations from limited data to improve vascular segmentation,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.677140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e78a40f-3340-4c65-86a3-92057031780d · outbound

This paper cites Topology-Preserving Deep Im- age Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Topology-Preserving Deep Im- age Segmentation,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.663764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82673983-9823-4184-872c-79696d8e60d6 · outbound

This paper cites Local Intensity Order Transformation for Robust Curvilinear Object Segmentation,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Local Intensity Order Transformation for Robust Curvilinear Object Segmentation,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.650450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5399392a-ff21-4b70-b01b-2b878c04ff94 · outbound

This paper cites Directional Connectivity-based Segmentation of Medical Images,.

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction Directional Connectivity-based Segmentation of Medical Images,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:56:50.637908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

Outbound references

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