Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:54:10.965952Z
Paper Citation Record · LEDGER
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation
As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2505.06055.
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 2026-08-16T06:30:59.297886+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
49 of 49 outbound references displayed
- verified exact2
- verified fuzzy39
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b9b4d6eb-c065-472c-89ca-f3f3a96421d9 · outbound
This paper cites Application of artificial intelligence (ai) in a cephalo- metric analysis: A narrative review,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Application of artificial intelligence (ai) in a cephalo- metric analysis: A narrative review,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.663336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b927434f-b3f2-4dc3-a928-d5dc730ac56e · outbound
This paper cites Missing mri pulse sequence synthesis using multi-modal generative adversarial network,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Missing mri pulse sequence synthesis using multi-modal generative adversarial network,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.650235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5caa608c-e655-4ace-be06-c11cbf370b64 · outbound
This paper cites Artificial intelligence and machine learning for automated cephalometric landmark identification: A meta-analysis previewed by a systematic review,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Artificial intelligence and machine learning for automated cephalometric landmark identification: A meta-analysis previewed by a systematic review,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.637193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 79ada0bc-9f89-4db8-ac1b-eea26584f57f · outbound
This paper cites Hi-net: hybrid-fusion network for multi-modal mr image synthesis,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Hi-net: hybrid-fusion network for multi-modal mr image synthesis,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.623991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2364394c-d4f0-4f1f-98f2-8cc3f9ff22bc · outbound
This paper cites Cross-modality image synthesis via weakly coupled and geometry co-regularized joint dictionary learn- ing,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cross-modality image synthesis via weakly coupled and geometry co-regularized joint dictionary learn- ing,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.610641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a6c7907-891a-42ab-aee5-33080a9fba01 · outbound
This paper cites Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Evaluation and comparison of anatomical landmark detection methods for cephalometric x-ray images: a grand challenge,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.596055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2a7a272e-6432-4243-91a4-b551149dfc75 · outbound
This paper cites Chest x-ray generation and data augmentation for cardiovascular abnormality classification,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Chest x-ray generation and data augmentation for cardiovascular abnormality classification,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.582644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 566484c5-f2f2-44b2-a76e-977f70fa79e0 · outbound
This paper cites A benchmark for comparison of dental radiography analysis algorithms,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation A benchmark for comparison of dental radiography analysis algorithms,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.569150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f0785a7-9d4d-48f9-b441-858f51a65869 · outbound
This paper cites Genera- tion of synthetic chest x-ray images and detection of covid-19: A deep learning based approach,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Genera- tion of synthetic chest x-ray images and detection of covid-19: A deep learning based approach,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.554315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 91fdcb6c-304a-4517-9780-967fd540cb84 · outbound
This paper cites Diverse data generation for retinal layer segmentation with potential structure modelling,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Diverse data generation for retinal layer segmentation with potential structure modelling,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.539652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c6f0bb0c-ced3-4e2b-bbca-efd154130a35 · outbound
This paper cites Generative adversarial nets,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Generative adversarial nets,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.525852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d24318e8-1061-4f0c-b742-e91520b4716e · outbound
This paper cites Generation of 3d brain mri using auto-encoding generative adversarial networks,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Generation of 3d brain mri using auto-encoding generative adversarial networks,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.512707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fecc8fe2-29ab-4cda-abe7-c876ef31c565 · outbound
This paper cites GANs for Medical Image Synthesis: An Empirical Study.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation GANs for Medical Image Synthesis: An Empirical Study
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.816048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d774f84-9bb2-41ac-bfb1-f901c75ad4c4 · outbound
This paper cites High- resolution image synthesis with latent diffusion models,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation High- resolution image synthesis with latent diffusion models,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.499862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96b299b6-8733-4626-b4ea-44c0bcc5e17a · outbound
This paper cites Deep high-resolution representation learning for visual recognition,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Deep high-resolution representation learning for visual recognition,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.486536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 38164dbd-1d91-42bf-a82c-7901ec0fc3a4 · outbound
This paper cites Cascaded latent diffusion models for high-resolution chest x-ray synthesis,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cascaded latent diffusion models for high-resolution chest x-ray synthesis,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.473662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 67f4c215-a408-448f-9665-02ad733c5bac · outbound
This paper cites Cxr-irgen: An integrated vision and language model for the generation of clinically accurate chest x-ray image-report pairs,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cxr-irgen: An integrated vision and language model for the generation of clinically accurate chest x-ray image-report pairs,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.460411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 20e78dac-cc9e-4fc5-9a80-4f682a4f1c38 · outbound
This paper cites PIE: Simulating Disease Progression via Progressive Image Editing.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation PIE: Simulating Disease Progression via Progressive Image Editing
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T22:54:11.083069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 99f9e1aa-992c-4450-bdf1-2911dbae8b34 · outbound
This paper cites Medm2g: Unifying medical multi-modal generation via cross-guided diffusion with visual invariant,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Medm2g: Unifying medical multi-modal generation via cross-guided diffusion with visual invariant,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.446838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2ac0e120-48ce-4345-b362-f914113d932e · outbound
This paper cites Adding conditional control to text- to-image diffusion models,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Adding conditional control to text- to-image diffusion models,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.433349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 04a84896-7c7a-47ab-a387-746878a41590 · outbound
This paper cites Lc-sd: Realistic endoscopic image generation with limited training data,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Lc-sd: Realistic endoscopic image generation with limited training data,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.419620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9ddced0d-4970-4a8e-854b-7a20711797e5 · outbound
This paper cites Generative AI for Medical Imaging: extending the MONAI Framework.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Generative AI for Medical Imaging: extending the MONAI Framework
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.853160Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bc7af1a-907f-4e3b-b7c7-bc9e1a33b011 · outbound
This paper cites Knowledge- based landmarking of cephalograms,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Knowledge- based landmarking of cephalograms,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.406314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f03ba025-f523-4667-8c84-b65170283dd9 · outbound
This paper cites An image processing system for cephalometric analysis and measurements,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation An image processing system for cephalometric analysis and measurements,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.392991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3b2bb884-e9db-4fa0-879c-124be606de8d · outbound
This paper cites Cephalometric landmarks localization based on histograms of oriented gradients,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cephalometric landmarks localization based on histograms of oriented gradients,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.379117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 775cc9e5-c760-4368-aceb-020cf475802c · outbound
This paper cites Automatic cephalo- metric x-ray landmark detection by applying game theory and random forests,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Automatic cephalo- metric x-ray landmark detection by applying game theory and random forests,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.363949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a00442df-e3bb-4dbd-aaf9-0904a1f18306 · outbound
This paper cites Fully automatic cephalometric evaluation using random forest regression-voting,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Fully automatic cephalometric evaluation using random forest regression-voting,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.349092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f4b85ca3-6371-4663-b13e-a30a1258c771 · outbound
This paper cites Fully automatic system for accurate localisation and analysis of cephalometric landmarks in lateral cephalograms,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Fully automatic system for accurate localisation and analysis of cephalometric landmarks in lateral cephalograms,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.334541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16420a90-5878-426c-99f5-48ff7c460782 · outbound
This paper cites Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Revisiting Cephalometric Landmark Detection from the view of Human Pose Estimation with Lightweight Super-Resolution Head
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.881998Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03cb8ef3-8d60-4541-9029-88e159cb7f03 · outbound
This paper cites Deep Learning based Cephalometric Landmark Identification using Landmark-dependent Multi-scale Patches.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Deep Learning based Cephalometric Landmark Identification using Landmark-dependent Multi-scale Patches
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T22:54:11.034963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation df12c1c8-eb23-499a-9b55-94767537d207 · outbound
This paper cites Cephalometric landmark detection by attentive feature pyramid fusion and regression- voting,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cephalometric landmark detection by attentive feature pyramid fusion and regression- voting,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.319197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5835347e-8f6e-4a55-b0d0-afea0b1567cc · outbound
This paper cites Cephalformer: incorporating global structure constraint into visual features for general cephalometric landmark detection,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cephalformer: incorporating global structure constraint into visual features for general cephalometric landmark detection,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.302423Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed198f43-c6a9-45cc-8462-1f9eb7246d74 · outbound
This paper cites Uod: Universal one-shot detection of anatomical landmarks,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Uod: Universal one-shot detection of anatomical landmarks,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.287641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8d9bedd4-2364-4e98-8d19-ffbc8d12817e · outbound
This paper cites The frankfort-mandibular plane angle in orthodontic diagnosis, classification, treatment planning, and prognosis,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation The frankfort-mandibular plane angle in orthodontic diagnosis, classification, treatment planning, and prognosis,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.273911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 38af66c6-7ef4-4ad2-b1be-b7d3442e74e6 · outbound
This paper cites Cephalometrics for you and me,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cephalometrics for you and me,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.260501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6fbf3ca3-c669-4548-a0c2-71c249529360 · outbound
This paper cites Learning transferable visual models from natural language supervision,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Learning transferable visual models from natural language supervision,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.247304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cb243c13-4763-4ff8-b2c0-4bbdda71be5c · outbound
This paper cites Deep residual learning for image recognition,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Deep residual learning for image recognition,
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.916014Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b5012dd-5b43-42a6-91ef-9fa5f9763686 · outbound
This paper cites Simple baselines for human pose estimation and tracking,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Simple baselines for human pose estimation and tracking,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.224054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4090eda3-f089-47ee-9e1d-191b59b616be · outbound
This paper cites Cascaded convolutional networks for automatic cephalometric landmark detection,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cascaded convolutional networks for automatic cephalometric landmark detection,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.209392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0397c984-b26c-41e7-bf58-52b8858a55f7 · outbound
This paper cites Cephalometric landmark detection in lateral x-ray images 2023,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Cephalometric landmark detection in lateral x-ray images 2023,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.195850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5610c612-0ef1-4d19-bc53-b8f46dba66c6 · outbound
This paper cites Diffusers: State-of-the-art diffusion models,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Diffusers: State-of-the-art diffusion models,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.183359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d3dff7d-09b3-44db-9ab2-f3b3518b18ad · outbound
This paper cites Which images to label for few-shot medical landmark detection?.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Which images to label for few-shot medical landmark detection?
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.170228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1b837098-36d2-492a-8a7e-52544abd6d9c · outbound
This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation HuggingFace's Transformers: State-of-the-art Natural Language Processing
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.940396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a141ed7a-29bd-4eb9-ab0c-d2cfded9d37c · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.945246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a5e4cc4-c00b-4ee0-884b-5ad4208125d9 · outbound
This paper cites Floating norms for individualising the anb angle and the wits appraisal in orthodontic cephalometric analysis based on guiding variables,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Floating norms for individualising the anb angle and the wits appraisal in orthodontic cephalometric analysis based on guiding variables,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.156102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 49cea5d0-c83a-4809-ba9e-0459ad4b3786 · outbound
This paper cites Synthetic data in machine learning for medicine and healthcare,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Synthetic data in machine learning for medicine and healthcare,
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.953569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d5977bb-9425-470f-adb0-f7895c53c09b · outbound
This paper cites Data augmentation for medical imaging: A systematic literature review,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Data augmentation for medical imaging: A systematic literature review,
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:54:10.957643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fa4acfd-bf54-4308-a0a8-3453c2bff271 · outbound
This paper cites Synthetic data generation methods in healthcare: A review on open-source tools and methods,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Synthetic data generation methods in healthcare: A review on open-source tools and methods,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.125602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 23bc5ff0-b8fd-401d-8ea9-a578325c0cc7 · outbound
This paper cites Addressing medical imaging limitations with synthetic data generation,.
Towards Better Cephalometric Landmark Detection with Diffusion Data Generation Addressing medical imaging limitations with synthetic data generation,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:54:11.112071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.