Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation | Paper Citation Record

Observation bfeae6d9-b2ad-45bd-ad45-a645d891b0a6 · outbound

This paper cites An anatomy- and topology-preserving frame- work for coronary artery segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation An anatomy- and topology-preserving frame- work for coronary artery segmentation,

Reference 1

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This paper cites RSF-Conv: Rotation-and-scale equivariant Fourier parameterized convolution for retinal vessel segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation RSF-Conv: Rotation-and-scale equivariant Fourier parameterized convolution for retinal vessel segmentation,

Reference 2

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This paper cites Topology-guided road graph extraction from remote sensing images,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Topology-guided road graph extraction from remote sensing images,

Reference 3

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Observation f9aa7846-b851-40f1-a16d-7bdbbd05cfe5 · outbound

This paper cites Universal vessel segmentation for multi- modality retinal images,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Universal vessel segmentation for multi- modality retinal images,

Reference 4

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This paper cites Aerial images meet crowdsourced trajectories: A new approach to robust road extraction,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Aerial images meet crowdsourced trajectories: A new approach to robust road extraction,

Reference 5

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This paper cites Context enhancing representation for semantic segmentation in remote sensing images,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Context enhancing representation for semantic segmentation in remote sensing images,

Reference 6

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This paper cites Semantic prompt and graph- convolution-structure distillation framework for semantic segmentation of remote sensing images,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Semantic prompt and graph- convolution-structure distillation framework for semantic segmentation of remote sensing images,

Reference 7

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Observation 42d597d6-41a8-43fc-a6f1-794d2ab73225 · outbound

This paper cites Sam 2: Segment anything in images and videos,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Sam 2: Segment anything in images and videos,

Reference 8

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This paper cites Zero-shot capillary segmentation in dermoscopy images via sam2: A case study on oral mucosa,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Zero-shot capillary segmentation in dermoscopy images via sam2: A case study on oral mucosa,

Reference 9

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This paper cites Coarse-to-fine semantic segmentation from image-level labels,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Coarse-to-fine semantic segmentation from image-level labels,

Reference 10

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Observation 054002df-e12d-4c01-83c2-0bd05730fc56 · outbound

This paper cites Spatial structure constraints for weakly supervised semantic segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Spatial structure constraints for weakly supervised semantic segmentation,

Reference 11

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Observation eaf6d0ee-6cd3-409d-8232-a6714ccee662 · outbound

This paper cites Guided filter network for semantic image segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Guided filter network for semantic image segmentation,

Reference 12

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Observation 4070a92f-390e-4842-9645-cc953173fc7d · outbound

This paper cites Double similarity distillation for semantic image segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Double similarity distillation for semantic image segmentation,

Reference 13

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Observation 541532a8-ae7f-4b36-b958-66c6efcb23f7 · outbound

This paper cites Geometric boundary guided feature fusion and spatial-semantic context aggregation for semantic segmentation of remote sensing images,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Geometric boundary guided feature fusion and spatial-semantic context aggregation for semantic segmentation of remote sensing images,

Reference 14

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This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence 45(9):11221--11239.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence 45(9):11221--11239

Reference 15

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Observation 50f83c89-f30a-49e8-90a5-808370f85834 · outbound

This paper cites Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Dynamic snake convolution based on topological geometric constraints for tubular structure segmentation,

Reference 16

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Observation c0689dac-7634-425e-bf9a-ab71f805b348 · outbound

This paper cites Skeleton recall loss for connectivity conserving and resource efficient segmentation of thin tubular structures,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Skeleton recall loss for connectivity conserving and resource efficient segmentation of thin tubular structures,

Reference 17

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This paper cites Gradient starvation: A learning proclivity in neural networks,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Gradient starvation: A learning proclivity in neural networks,

Reference 18

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This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2021/file/0987b8b338d6c90bbedd8631bc499221-Paper.pdf.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Available: https://proceedings.neurips.cc/paper files/ paper/2021/file/0987b8b338d6c90bbedd8631bc499221-Paper.pdf

Reference 19

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Observation d906e939-85b8-4202-85c2-621f700d1d59 · outbound

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

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 20

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Observation 39806d00-5308-4dce-ad7c-2b8bf93595d6 · outbound

This paper cites FANet: A feedback attention network for improved biomedical image segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation FANet: A feedback attention network for improved biomedical image segmentation,

Reference 21

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Observation 855d6b9e-f951-44d9-a3d7-65cbfda70ac2 · outbound

This paper cites SwinPA-Net: Swin transformer-based multiscale feature pyramid aggregation network for medical image segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation SwinPA-Net: Swin transformer-based multiscale feature pyramid aggregation network for medical image segmentation,

Reference 22

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Observation 6eb33bd5-48cf-44bb-96e7-f4747c8f03ae · outbound

This paper cites Equalization loss for long-tailed object recognition,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Equalization loss for long-tailed object recognition,

Reference 23

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Observation 838cb657-1fdb-430e-8441-9c3b8284ef3d · outbound

This paper cites Polyloss: A polynomial expansion perspective of classification loss functions,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Polyloss: A polynomial expansion perspective of classification loss functions,

Reference 24

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Observation cff37411-7d98-43b0-9701-a4cf33de6d0e · outbound

This paper cites Hybrid grid search and bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Hybrid grid search and bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes,

Reference 25

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Observation 713193d3-e09a-4525-9f08-353edb0ae11b · outbound

This paper cites Global minimum for active contour models: A minimal path approach,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Global minimum for active contour models: A minimal path approach,

Reference 26

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Observation 33f74640-84d3-4214-bb33-221491a84bd0 · outbound

This paper cites Cape: Connectivity-aware path enforcement loss for curvilinear structure delineation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Cape: Connectivity-aware path enforcement loss for curvilinear structure delineation,

Reference 27

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This paper cites Available: https://doi.org/10.1007/978-3-032-05162-2 18.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Available: https://doi.org/10.1007/978-3-032-05162-2 18

Reference 28

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Observation 780a363e-e3cd-4b9b-acee-d25b1c35086d · outbound

This paper cites Capturing graphs with hypo-elliptic diffusions,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Capturing graphs with hypo-elliptic diffusions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.104444Z

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Observation baadbfaa-70f7-4532-ab1b-1872f3c45914 · outbound

This paper cites Random walks for image segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Random walks for image segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.118931Z

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Observation d52b5f53-3858-4c15-9877-b9904f73a7ca · outbound

This paper cites Normalized cuts and image segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Normalized cuts and image segmentation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.097157Z

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Observation f4c7f08a-3675-4586-93de-6e45a261822f · outbound

This paper cites Tokencut: Segmenting objects in images and videos with self-supervised transformer and normalized cut,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Tokencut: Segmenting objects in images and videos with self-supervised transformer and normalized cut,

Reference 32

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Observation 4c0fba9e-ec10-41f4-a1f6-9caa619bb5fc · outbound

This paper cites Emogen: Emotional image content generation with text-to-image diffusion models.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Emogen: Emotional image content generation with text-to-image diffusion models

Reference 33

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Observation 7882ba66-2dc0-4753-b79d-bd798bd73484 · outbound

This paper cites Efficient neuron segmentation in electron microscopy by affinity-guided queries,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Efficient neuron segmentation in electron microscopy by affinity-guided queries,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.108000Z

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Observation f980f953-efba-4d1e-9296-5d27783d85de · outbound

This paper cites A meta- contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation A meta- contrastive learning hybrid model for adaptive temperature trend prediction in variable ladle preheating,

Reference 35

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Observation ef28c8d3-42e4-425f-bab8-791baaf66e17 · outbound

This paper cites On vanishing gradients, over- smoothing, and over-squashing in gnns: Bridging recurrent and graph learning.arXiv preprint arXiv:2502.10818.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation On vanishing gradients, over- smoothing, and over-squashing in gnns: Bridging recurrent and graph learning.arXiv preprint arXiv:2502.10818

Reference 36

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Observation 4c8b6971-db72-4054-8b8a-835c78e32f00 · outbound

This paper cites Sagman: Stability analysis of graph neural networks on the manifolds,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Sagman: Stability analysis of graph neural networks on the manifolds,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.111904Z

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Observation 257fb7f9-edd9-448c-8a07-40afa8c4e6c0 · outbound

This paper cites Semi-supervised segmentation of histopathology images with noise-aware topological consistency,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Semi-supervised segmentation of histopathology images with noise-aware topological consistency,

Reference 38

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.710020Z

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Observation 370217c5-940a-4728-80b9-71a57f0145f8 · outbound

This paper cites Anatomically plausible segmentations: Explicitly preserving topology through prior deformations,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Anatomically plausible segmentations: Explicitly preserving topology through prior deformations,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.117472Z

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Observation 28dd70c3-c696-45c2-ba6f-4a375092faf6 · outbound

This paper cites Centerline boundary dice loss for vascular segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Centerline boundary dice loss for vascular segmentation,

Reference 42

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.736358Z

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Observation 6938e95e-f63a-4115-9eaf-13a52511c9ba · outbound

This paper cites Self-supervised 3d skeleton completion for vascular structures,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Self-supervised 3d skeleton completion for vascular structures,

Reference 43

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.717618Z

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Observation 3a74279a-1d40-4442-a493-656277997e01 · outbound

This paper cites Glcp: Global-to-local connectivity preservation for tubular structure segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Glcp: Global-to-local connectivity preservation for tubular structure segmentation,

Reference 44

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.693022Z

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Observation c2059f3d-67ff-4650-93e1-314f29bcdc24 · outbound

This paper cites Netracer: A topology-aware iterative tracing approach for tubular structure extraction,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Netracer: A topology-aware iterative tracing approach for tubular structure extraction,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.073996Z

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Observation 50f96bb0-dc61-43d4-aa62-ffc14e8b2e4d · outbound

This paper cites Curvi-tracker: Curvilinear structure segmentation refinement by iterative tracking,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Curvi-tracker: Curvilinear structure segmentation refinement by iterative tracking,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.076417Z

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Observation 4b607fbb-7377-41f4-8955-587c7e7527ca · outbound

This paper cites Boundary-aware axial attention network for high-quality pavement crack detection,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Boundary-aware axial attention network for high-quality pavement crack detection,

Reference 47

Resolution: malformed identifier; arxiv_id, observed 2026-07-09T19:56:28.811661Z

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Observation 9cfd1e25-acdd-4405-a9d5-b6a058644cc5 · outbound

This paper cites A deeply supervised convolutional neural network for pavement crack detection with multiscale feature fusion,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation A deeply supervised convolutional neural network for pavement crack detection with multiscale feature fusion,

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-09T19:56:28.744578Z

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Observation 46c81367-930e-42df-991f-0357ec270fed · outbound

This paper cites Representing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Representing topological self-similarity using fractal feature maps for accurate segmentation of tubular structures,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.078146Z

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Observation 6d120a48-4ba8-4a75-b991-84151b65b2a9 · outbound

This paper cites Available: https://doi.org/10.1007/978-3-031-73404-5 9.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Available: https://doi.org/10.1007/978-3-031-73404-5 9

Reference 50

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.741743Z

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Observation 1c7160c6-2b0f-4025-81bd-3657e220383c · outbound

This paper cites Harmonyseg: Tubular structure segmentation with deep-shallow feature fusion and growth-suppression balanced loss,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Harmonyseg: Tubular structure segmentation with deep-shallow feature fusion and growth-suppression balanced loss,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.078978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c4414477-1fae-4a86-8acf-c61f3b609214 · outbound

This paper cites Vesselsdf: Distance field priors for vascular network reconstruction,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Vesselsdf: Distance field priors for vascular network reconstruction,

Reference 52

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.734193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f32208c-aba7-4240-8888-05c85f1aceee · outbound

This paper cites A topology-preserving three-stage framework for fully-connected coronary artery extraction,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation A topology-preserving three-stage framework for fully-connected coronary artery extraction,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.101157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d2cbc67f-dc63-46b9-a0af-e62f50639d93 · outbound

This paper cites Topotta: Topology-enhanced test-time adaptation for tubular structure segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Topotta: Topology-enhanced test-time adaptation for tubular structure segmentation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.113738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e32ee5e5-aba1-446d-9fbc-3aba2517ea6f · outbound

This paper cites cldice - a novel topology- preserving loss function for tubular structure segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation cldice - a novel topology- preserving loss function for tubular structure segmentation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.083513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3649950-b4c9-43de-a46e-fb0645a13e5d · outbound

This paper cites A topological loss function for deep-learning based image segmentation using persistent homology,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation A topological loss function for deep-learning based image segmentation using persistent homology,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.046997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c99ef523-6098-40d2-84b4-082a8640c2af · outbound

This paper cites David Cohen-Steiner, Herbert Edelsbrunner, and John Harer.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation David Cohen-Steiner, Herbert Edelsbrunner, and John Harer

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T19:56:28.731725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e94cf76b-295a-4ad9-9276-33200891c5c8 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

Reference 58

Resolution: malformed identifier; arxiv_id, observed 2026-07-09T19:56:28.818584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 817cce4f-2b30-431b-936d-dfe709b7cdf4 · outbound

This paper cites Topology-preserving image segmentation with spatial-aware persistent feature matching,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Topology-preserving image segmentation with spatial-aware persistent feature matching,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.112081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5bde577b-7f8e-4b71-aca3-775536bae09f · outbound

This paper cites Deep closing: Enhancing topological connectivity in medical tubular segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Deep closing: Enhancing topological connectivity in medical tubular segmentation,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.091504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1441a2a7-74f8-491e-b851-53df57a78f50 · outbound

This paper cites Topology optimization in medical image segmentation with fastχeuler characteristic,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Topology optimization in medical image segmentation with fastχeuler characteristic,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.099010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b90accc1-3a48-49d9-8add-4bda5c9a4d3d · outbound

This paper cites Topology-preserving downsampling of binary images,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Topology-preserving downsampling of binary images,

Reference 62

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.720689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 30a63c56-e1de-4073-81db-1fa8c9979170 · outbound

This paper cites an unresolved cited work.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-07-09T19:56:29.110051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44eeee34-a742-4ba9-840e-e1cccc531443 · outbound

This paper cites Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.076199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f21f8dd-6876-4266-a9bb-a1377590ea91 · outbound

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

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Ridge-based vessel segmentation in color images of the retina,

Reference 65

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.723028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eff96e1b-56ad-4f4a-b665-2483e2d73e3a · outbound

This paper cites Octa-500: A retinal dataset for optical coherence tomography angiography study,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Octa-500: A retinal dataset for optical coherence tomography angiography study,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.095223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb9effa6-ad3c-4ed1-bfbc-332e21fc02e4 · outbound

This paper cites Deepcrack: Learning hierarchical convolutional features for crack detection,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Deepcrack: Learning hierarchical convolutional features for crack detection,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.102693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f30d4c57-f9e0-4680-af77-58ebc4103fde · outbound

This paper cites Available: https://doi.org/10.1109/TIP.2018.2878966.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Available: https://doi.org/10.1109/TIP.2018.2878966

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-09T19:56:28.739405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5febbe83-f0e9-4677-8cc3-54ffdf75edb4 · outbound

This paper cites Learning to detect roads in high- resolution aerial images,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Learning to detect roads in high- resolution aerial images,

Reference 69

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.673927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89f2835a-c502-4dc5-b730-f7825015bdc4 · outbound

This paper cites 3–19 (2018).

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation 3–19 (2018)

Reference 70

Resolution: metadata mismatch; doi, observed 2026-07-09T19:56:28.680170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ecfdc96c-c9a3-4257-b0c9-eb7bf05eec93 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Segformer: Simple and efficient design for semantic segmentation with transformers

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.062657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3b993da3-bc43-4348-87c5-39939cbc87a4 · outbound

This paper cites A ConvNet for the 2020s.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation A ConvNet for the 2020s

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T19:56:28.696680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 423b246f-2645-49e1-bf95-64ccd026bd0a · outbound

This paper cites Transunet: Rethinking the u-net architecture design for medical image segmentation through the lens of transformers,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Transunet: Rethinking the u-net architecture design for medical image segmentation through the lens of transformers,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.106253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e142a38a-4f89-4dde-b00f-bc903f130830 · outbound

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

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation nnu-net: a self-configuring method for deep learning-based biomedical image segmentation,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T19:56:29.058249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26078c7f-807c-429b-acab-e1a770153d2a · outbound

This paper cites nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation nnU-Net: A Self-Configuring Method for Deep Learning-Based Biomedical Image Segmentation

Reference 75

Resolution: metadata mismatch; doi, observed 2026-07-09T19:56:28.712401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 56a52d1c-b77a-438b-8d8b-33406d0256f4 · outbound

This paper cites Cs-net: Channel and spatial attention network for curvilinear structure segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Cs-net: Channel and spatial attention network for curvilinear structure segmentation,

Reference 76

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.739847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 424038d4-2624-4274-9495-444b7e6ead75 · outbound

This paper cites Swin-unet: Unet-like pure transformer for medical image segmentation,.

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation Swin-unet: Unet-like pure transformer for medical image segmentation,

Reference 77

Resolution: verified exact; doi, observed 2026-07-09T19:56:28.705280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7b4c652e-8169-4100-9775-0b6f9c492b83 · outbound

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

Widest-Path Reachability Fields for Connectivity-Preserving Slender Structure Segmentation U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 78

Resolution: verified exact; local_arxiv, observed 2026-07-09T19:56:28.809019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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