Paper Citation Record · LEDGER

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2411.17850.

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

pith.paper-citation-record.v1
2411.17850 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:49:39.349936Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca02f92e-db60-463e-8001-5e5add6ad59f · outbound

This paper cites R., Fields, H., Msd, D.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability R., Fields, H., Msd, D

Reference 1

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71f001db-e45d-43bf-a82e-a8211f886989 · outbound

This paper cites Soft tissue cephalometric analysis for orthognathic surgery.,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Soft tissue cephalometric analysis for orthognathic surgery.,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.905504Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fbafd71a-2ad4-4830-9b13-1d956bdaadb6 · outbound

This paper cites Label-free segmentation of COVID-19 lesions in lung CT,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Label-free segmentation of COVID-19 lesions in lung CT,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.885503Z

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Observation 071d4f29-68d9-4db1-82da-aca249378c4d · outbound

This paper cites An artificial agent for anatomical landmark detection in medical images,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability An artificial agent for anatomical landmark detection in medical images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.863905Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b23e80ae-34ef-4519-bde9-7f1810842f89 · outbound

This paper cites You only learn once: Universal anatomical landmark detection,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability You only learn once: Universal anatomical landmark detection,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.846510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 482d5560-6b95-4f00-bf7a-3fad9e10e7b5 · outbound

This paper cites Unsupervised landmark detection and classification of lung infection using transporter neural networks,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Unsupervised landmark detection and classification of lung infection using transporter neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.828475Z

Source-reported events for the cited work

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Observation 936d2491-7cba-45e2-9c94-610e0fa38c96 · outbound

This paper cites Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.811195Z

Source-reported events for the cited work

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Observation bebde914-bad6-4d24-b04f-5df549e0e27a · outbound

This paper cites Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.784062Z

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Observation 8da988e7-19fa-48b7-961d-5e722113e675 · outbound

This paper cites Contour-hugging heatmaps for landmark detection,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Contour-hugging heatmaps for landmark detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.765829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4ecfe92-e4c7-4a71-93d4-f62137d6215f · outbound

This paper cites Bayesian uncertainty estimation in landmark localization using convolutional gaussian processes,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Bayesian uncertainty estimation in landmark localization using convolutional gaussian processes,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.748627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68095db5-a129-4030-87ad-0acd9929ecb8 · outbound

This paper cites Uncertainty estimation in landmark localization based on gaussian heatmaps,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Uncertainty estimation in landmark localization based on gaussian heatmaps,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.731012Z

Source-reported events for the cited work

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Observation f86c9be0-dae4-4e2d-ad75-a183a5511a05 · outbound

This paper cites Modeling annotation uncertainty with gaussian heatmaps in landmark localization,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Modeling annotation uncertainty with gaussian heatmaps in landmark localization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.714654Z

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Observation e10449f0-cdfa-4253-b245-6568759d23e2 · outbound

This paper cites A benchmark for comparison of dental radiography analysis algorithms,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability A benchmark for comparison of dental radiography analysis algorithms,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.698348Z

Source-reported events for the cited work

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Observation b80473d1-d468-46bf-aa4e-225e6cd922a7 · outbound

This paper cites An attention-guided deep regression model for landmark detection in cephalograms,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability An attention-guided deep regression model for landmark detection in cephalograms,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.683024Z

Source-reported events for the cited work

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Observation 715eae33-06d0-47a4-aeb0-43d8d9b1c443 · outbound

This paper cites Miss the point: Targeted adversarial attack on multiple landmark detection,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Miss the point: Targeted adversarial attack on multiple landmark detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.663896Z

Source-reported events for the cited work

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Observation bad9e8fa-25e1-4008-aaef-d8887cfd593d · outbound

This paper cites Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.647819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27258fc7-d5e5-4d6e-ac59-2c11d265a3fb · outbound

This paper cites UOD: Universal one-shot detection of anatomical landmarks,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability UOD: Universal one-shot detection of anatomical landmarks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.630366Z

Source-reported events for the cited work

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Observation 9dec7874-283d-417f-b43a-ea5a5f476c23 · outbound

This paper cites Fully automatic system for accurate localisation and analysis of cephalometric landmarks in lateral cephalograms,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Fully automatic system for accurate localisation and analysis of cephalometric landmarks in lateral cephalograms,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.614260Z

Source-reported events for the cited work

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Observation 6d7dbc2f-0c5f-4105-bfab-699dcac8f73c · outbound

This paper cites How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.594512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 988090b5-8788-44d7-98b3-b56857d16262 · outbound

This paper cites Label fusion and training methods for reliable representation of inter-rater uncertainty,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Label fusion and training methods for reliable representation of inter-rater uncertainty,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.578119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1a72303b-6793-4864-8af5-6708a3163df6 · outbound

This paper cites Rethinking generalization: The impact of annotation style on medical image segmentation,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Rethinking generalization: The impact of annotation style on medical image segmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.561864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8e9c455-1944-4bde-9187-681ca780cd77 · outbound

This paper cites Improving uncertainty estimation in convolutional neural networks using inter-rater agreement,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Improving uncertainty estimation in convolutional neural networks using inter-rater agreement,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.545411Z

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Observation 3689af90-ab15-4e6c-a22e-2d064e085f12 · outbound

This paper cites Automatic cephalometric landmark detection on X-ray images using a deep-learning method,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Automatic cephalometric landmark detection on X-ray images using a deep-learning method,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.530264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9435738-af0d-4f97-8fbf-ec9badd6e9b5 · outbound

This paper cites Integrating spatial configuration into heatmap regres- sion based CNNs for landmark localization,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Integrating spatial configuration into heatmap regres- sion based CNNs for landmark localization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.511757Z

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Observation 9ccad18f-0ba1-42de-8cab-5f07c2e9fb0f · outbound

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

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability U-net: Convolutional networks for biomedical image segmen- tation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.491753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90711cee-6fec-4efd-b41e-45dc567a0e34 · outbound

This paper cites Regressing heatmaps for multiple landmark local- ization using CNNs,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Regressing heatmaps for multiple landmark local- ization using CNNs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.472040Z

Source-reported events for the cited work

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Observation 5f74d912-a617-439f-aadc-008f705934d0 · outbound

This paper cites Uncertainty estimation for heatmap-based landmark localization,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Uncertainty estimation for heatmap-based landmark localization,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 52cbac6f-ac0a-4fc0-b6f7-68bbfbbca48b · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Dropout as a bayesian approximation: Representing model uncertainty in deep learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.436898Z

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Observation cc5385b6-1680-469c-b311-fdc0e2305ec1 · outbound

This paper cites Deep residual learning for image recognition,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Deep residual learning for image recognition,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.420114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abd851b1-3e13-4f74-9a75-cc47415e4207 · outbound

This paper cites Evaluation and comparison of anatomical landmark detection methods for cephalometric X-ray images: a grand challenge,.

Reliability of deep learning models for anatomical landmark detection: The role of inter-rater variability Evaluation and comparison of anatomical landmark detection methods for cephalometric X-ray images: a grand challenge,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:49:39.402022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

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