Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:22:13.207462Z
Paper Citation Record · LEDGER
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation
As of 19 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2508.06517.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
- verified exact0
- verified fuzzy54
- unresolved5
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7372737d-b200-4e40-b3d4-44b63b87254e · outbound
This paper cites Worldwide variations in colorectal cancer.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Worldwide variations in colorectal cancer
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.686965Z
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 f2f85a80-cdff-4ee8-88b1-a3aa000217fa · outbound
This paper cites Colorectal cancer.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Colorectal cancer
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.679303Z
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 1b47442c-7a4f-4597-8041-adac69052554 · outbound
This paper cites Colorectal cancer.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Colorectal cancer
Reference 3
- Resolution
- verified fuzzy
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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 9dc1349c-70c2-46d8-8905-a4fb6a71e5fa · outbound
This paper cites Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Coinnet: A convolution-involution network with a novel statistical attention for automatic polyp segmentation
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.664860Z
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 a5f6e689-3e96-4f1f-9674-27fae2748504 · outbound
This paper cites Know your orientation: A viewpoint-aware framework for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Know your orientation: A viewpoint-aware framework for polyp segmentation
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.657208Z
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 31a20c9c-d51a-4f5f-b060-f20fb4565460 · outbound
This paper cites Pranet: Parallel reverse attention network for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Pranet: Parallel reverse attention network for polyp segmentation
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.649237Z
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 849de3cd-257c-4c5a-8eb0-49cafe2f4472 · outbound
This paper cites Adaptive context selection for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Adaptive context selection for polyp segmentation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.641705Z
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 50363ade-dcb7-4c06-8463-236d134be2f6 · outbound
This paper cites Collaborative and adversarial learning of focused and dispersive representations for semi-supervised polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Collaborative and adversarial learning of focused and dispersive representations for semi-supervised polyp segmentation
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.634264Z
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 d2d9a925-2e64-4592-aa5a-02fc5a5928f4 · outbound
This paper cites Learning with local and global consistency.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Learning with local and global consistency
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.622657Z
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 247e8225-9d69-4dad-9e8b-b3d42fe10e58 · outbound
This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Fixmatch: Simplifying semi-supervised learning with consistency and confidence
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.615602Z
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 1388785e-c450-4339-b090-c37cc66a954b · outbound
This paper cites Revisiting weak-to-strong consistency in semi-supervised semantic segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Revisiting weak-to-strong consistency in semi-supervised semantic segmentation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.608267Z
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 ad9c6004-c1d7-41cf-bdda-b8301bdcbc3f · outbound
This paper cites Dual student: Breaking the limits of the teacher in semi-supervised learning.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Dual student: Breaking the limits of the teacher in semi-supervised learning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.600278Z
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 9272f759-33da-43e6-b02e-92fe1980d136 · outbound
This paper cites Atso: Asynchronous teacher-student optimization for semi-supervised image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Atso: Asynchronous teacher-student optimization for semi-supervised image segmentation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.592984Z
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 31c63218-c866-4434-8252-7c7aa7e1d64e · outbound
This paper cites Semi-supervised semantic segmentation with cross pseudo supervision.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Semi-supervised semantic segmentation with cross pseudo supervision
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.585357Z
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 6026d494-5d60-4888-96b5-d37018b7234d · outbound
This paper cites Mutual consistency learning for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Mutual consistency learning for semi-supervised medical image segmentation
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.577778Z
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 1d266e39-b5f5-459b-a926-a9a13d4023aa · outbound
This paper cites Cuts: A deep learning and topological framework for multigranular unsupervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Cuts: A deep learning and topological framework for multigranular unsupervised medical image segmentation
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.569805Z
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 7e61c2a8-f235-490b-9400-d9d02662dc60 · outbound
This paper cites Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.561673Z
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 3115c6d9-e618-4864-b767-fa2d70e4d782 · outbound
This paper cites Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.553825Z
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 c4ad376e-211c-409b-8ddf-575f2a65409a · outbound
This paper cites Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Inconsistency-aware uncertainty estimation for semi-supervised medical image segmentation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.546082Z
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 b48bab16-3c14-40cb-9ace-d5957db2be84 · outbound
This paper cites Compete to win: Enhancing pseudo labels for barely-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Compete to win: Enhancing pseudo labels for barely-supervised medical image segmentation
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.538368Z
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 e7f83fed-132d-4046-8d75-cd53f90106ba · outbound
This paper cites Pseudo-label guided contrastive learning for semi- supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Pseudo-label guided contrastive learning for semi- supervised medical image segmentation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.530463Z
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 7c35c895-1fb0-476c-b4b5-74010b846a88 · outbound
This paper cites Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Rcps: Rectified contrastive pseudo supervision for semi-supervised medical image segmentation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.522121Z
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 8e5a8cdd-954c-494d-95d2-ac27549f1aa4 · outbound
This paper cites Semi- supervised medical image segmentation using adversarial consistency learning and dynamic convolution network.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Semi- supervised medical image segmentation using adversarial consistency learning and dynamic convolution network
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.513866Z
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 850099c4-d0ff-4eec-8724-227402f1a07b · outbound
This paper cites Semi-supervised medical image segmentation through dual-task consistency.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Semi-supervised medical image segmentation through dual-task consistency
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.505976Z
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 b896120a-2d31-462d-ac03-7b545ee424b9 · outbound
This paper cites Diffkillr: Killing and recreating diffeomorphisms for cell annotation in dense microscopy images.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Diffkillr: Killing and recreating diffeomorphisms for cell annotation in dense microscopy images
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.497810Z
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 01747c6c-d4da-415b-803f-c64402d4e58a · outbound
This paper cites Rethinking copy-paste for consistency learning in medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Rethinking copy-paste for consistency learning in medical image segmentation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.489857Z
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 7ef1d2dc-17d7-4244-937f-2b559e49cdc4 · outbound
This paper cites Cutmix: Regularization strategy to train strong classifiers with localizable features.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Cutmix: Regularization strategy to train strong classifiers with localizable features
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c84854a-b66e-4084-85a7-95597e88873a · outbound
This paper cites Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation.IEEE transactions on medical imaging, 40(4):1134–1146, 2020.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Learn to threshold: Thresholdnet with confidence-guided manifold mixup for polyp segmentation.IEEE transactions on medical imaging, 40(4):1134–1146, 2020
Reference 28
- Resolution
- verified fuzzy
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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 76388698-227d-4a80-85fe-1403c453683c · outbound
This paper cites Msrf-net: a multi-scale residual fusion network for biomedical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Msrf-net: a multi-scale residual fusion network for biomedical image segmentation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.469382Z
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 f29040ce-b799-418b-afa5-e54f3ff4b5b4 · outbound
This paper cites Fuzzynet: A fuzzy attention module for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Fuzzynet: A fuzzy attention module for polyp segmentation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.461858Z
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 afc4e306-e3b9-454f-a8b0-9db3b49f2dad · outbound
This paper cites Cross- level feature aggregation network for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Cross- level feature aggregation network for polyp segmentation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.454412Z
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 c7285a68-2544-4deb-9a10-93adc88171f6 · outbound
This paper cites Meganet: Multi-scale edge-guided attention network for weak boundary polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Meganet: Multi-scale edge-guided attention network for weak boundary polyp segmentation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.447188Z
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 6d2e7bff-2f04-4a62-98b1-dcb1fa00101c · outbound
This paper cites Uacanet: Uncertainty augmented context attention for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Uacanet: Uncertainty augmented context attention for polyp segmentation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.439708Z
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 ff05cf1f-a393-4b50-90f1-67812c236bf2 · outbound
This paper cites Shallow attention network for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Shallow attention network for polyp segmentation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.431999Z
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 28cb4658-fccf-4f94-af78-771147365e9d · outbound
This paper cites Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fcf5b77-13f9-48d3-ba61-c82c44ce4a1a · outbound
This paper cites Ctnet: Contrastive transformer network for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Ctnet: Contrastive transformer network for polyp segmentation
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.424907Z
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 19fdb64b-3a1a-4a7c-a797-42cd2714179c · outbound
This paper cites Fcn-transformer feature fusion for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Fcn-transformer feature fusion for polyp segmentation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.417780Z
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 8050f4a9-81f2-48ce-b244-58c5bf0672a9 · outbound
This paper cites mixup: Beyond Empirical Risk Minimization.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation mixup: Beyond Empirical Risk Minimization
Reference 38
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37f2a6e0-011e-4372-97be-217c5de385ad · outbound
This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Improved Regularization of Convolutional Neural Networks with Cutout
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:22:13.156289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7c6e18b-70b6-438d-974f-2261441f68af · outbound
This paper cites Bidirectional copy-paste for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Bidirectional copy-paste for semi-supervised medical image segmentation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.410633Z
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 3b74f9d6-48fe-4e9c-a51b-caba08d7caf6 · outbound
This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:22:13.162458Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 952cfa54-3c5c-4475-b15e-59c1fce9beeb · outbound
This paper cites Dfm-x: Augmentation by leveraging prior knowledge of shortcut learning.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Dfm-x: Augmentation by leveraging prior knowledge of shortcut learning
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.403320Z
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 10615654-5512-41c1-89c2-20fa029f5cbb · outbound
This paper cites A fourier-based framework for domain generalization.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation A fourier-based framework for domain generalization
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.396059Z
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 3d24dbc5-99f5-4402-ad86-9df36303131e · outbound
This paper cites Fsdr: Frequency space domain randomization for domain generalization.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Fsdr: Frequency space domain randomization for domain generalization
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.388425Z
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 0defca38-2c1d-4db8-b7c1-49a1c4a57f6f · outbound
This paper cites Design of an image edge detection filter using the sobel operator.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Design of an image edge detection filter using the sobel operator
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.381176Z
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 b3c6a2dd-69e7-48f3-8a4e-8ab2367dd4dd · outbound
This paper cites Combo loss: Handling input and output imbalance in multi-organ segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Combo loss: Handling input and output imbalance in multi-organ segmentation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.373543Z
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 179e68f5-c6a9-4bd9-b19b-c6d020ceaf96 · outbound
This paper cites Kvasir-seg: A segmented polyp dataset.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Kvasir-seg: A segmented polyp dataset
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.366044Z
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 b8d406a6-5956-433a-affd-16e5a1878571 · outbound
This paper cites Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.358319Z
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 638b8830-95dd-4c59-b6f6-f72cd71e0d6e · outbound
This paper cites Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.350770Z
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 59ba60a5-92a5-4d96-9bf0-44a21470e43c · outbound
This paper cites Towards automatic polyp detection with a polyp appearance model.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Towards automatic polyp detection with a polyp appearance model
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.343195Z
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 2c43fff4-1d97-4f0a-8ddb-5ab466b538ae · outbound
This paper cites Bkai-igh neopolyp.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Bkai-igh neopolyp
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.335647Z
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 8a9629e3-d512-4c4a-b9fa-83f60fd95158 · outbound
This paper cites Dynamic spectrum-driven hierarchical learning network for polyp segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Dynamic spectrum-driven hierarchical learning network for polyp segmentation
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.327704Z
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 fed67ff0-18c3-4952-845c-f88d3c400c99 · outbound
This paper cites Bilateral supervision network for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Bilateral supervision network for semi-supervised medical image segmentation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.319852Z
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 508301c5-9250-46bf-bfbd-9d2fa06385d5 · outbound
This paper cites Caussl: Causality- inspired semi-supervised learning for medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Caussl: Causality- inspired semi-supervised learning for medical image segmentation
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.311471Z
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 deb2fd8b-1a61-48cf-932c-f75dce6f9e3f · outbound
This paper cites Adaptive bidirectional displacement for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Adaptive bidirectional displacement for semi-supervised medical image segmentation
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.301793Z
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 fbedb48f-7270-49ca-babc-9fcc451d8b55 · outbound
This paper cites Dycon: Dynamic uncertainty-aware consistency and contrastive learning for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Dycon: Dynamic uncertainty-aware consistency and contrastive learning for semi-supervised medical image segmentation
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.293671Z
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 ca66cc65-9ed1-4197-bc92-526ce4412388 · outbound
This paper cites Background matters: A cross-view bidirectional modeling framework for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Background matters: A cross-view bidirectional modeling framework for semi-supervised medical image segmentation
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.285683Z
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 21a45222-1b19-4089-8807-27629ba60899 · outbound
This paper cites Pick: Predict and mask for semi-supervised medical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation Pick: Predict and mask for semi-supervised medical image segmentation
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.277341Z
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 efb4a775-c4f4-48d5-8b38-516b21da54c7 · outbound
This paper cites U-net: Convolutional networks for biomedical image segmentation.
Frequency Prior Guided Matching: A Data Augmentation Approach for Generalizable Semi-Supervised Polyp Segmentation U-net: Convolutional networks for biomedical image segmentation
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T11:22:13.268781Z
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.
Pith citing papers
No inbound Pith citation observations are available.