Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T23:55:25.440811Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 100 of 122 outbound references and 0 inbound Pith citation observations for arXiv:2511.03769.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T23:55:25.440811Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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
100 of 122 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e9a1a26d-bfa4-489f-86ab-cd3230732550 · outbound
Current validation practice undermines surgical AI development Surgical tool classification in laparoscopic videos using convolutional neural network.Current Directions in Biomedical Engineering, 4(1):407–410, 2018
Reference 1
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Observation 58bc5514-bdab-49ce-969f-420d6b0aabe3 · outbound
Current validation practice undermines surgical AI development Wavemamba: Spatial-spectral wavelet mamba for hyperspectral image classification.IEEE Geoscience and Remote Sensing Letters, 2024
Reference 2
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Observation 087ba4de-eca0-4448-b2db-fa6800867737 · outbound
Current validation practice undermines surgical AI development The sages critical view of safety challenge: A global benchmark for ai-assisted surgical quality assessment.arXiv preprint arXiv:2509.17100, 2025
Reference 3
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Observation 0769d4a9-3f77-4b56-84d7-5afe629f1c10 · outbound
Current validation practice undermines surgical AI development Aggregating long-term context for learning laparoscopic and robot-assisted surgical workflows, 2021
Reference 4
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Unavailable: canonical work link unavailable.
Observation 51241ead-1571-4725-89d6-8d0d8d859d9a · outbound
Current validation practice undermines surgical AI development Bias in radiology artificial intelligence: causes, evaluation and mitigation, 2024
Reference 5
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Observation 3dd2ce70-afa0-4d67-946c-2ec849d431ba · outbound
Current validation practice undermines surgical AI development Placental vessel segmentation and registration in fetoscopy: literature review and miccai fetreg2021 challenge findings.Medical Image Analysis, 92: 103066, 2024
Reference 6
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Observation ddd430d4-5106-4846-9d59-4b28bd0b8f36 · outbound
Current validation practice undermines surgical AI development Impact of data on generalization of ai for surgical intelligence applications.Scientific reports, 10(1):22208, 2020
Reference 7
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Observation 399b661e-ecfe-4dc2-ae38-1c8d222d92ef · outbound
Current validation practice undermines surgical AI development Unresolved cited work
Reference 8
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Unavailable: canonical work link unavailable.
Observation 0dcb3309-8201-4412-a5e0-bd1057a6d042 · outbound
Current validation practice undermines surgical AI development A probabilistic approach to surgical tasks and skill metrics.IEEE Transactions on Biomedical Engineering, 69(7):2212–2219, 2021
Reference 9
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Observation 5ccf73a9-8fef-4eb5-b57b-a936ed9417c3 · outbound
Current validation practice undermines surgical AI development Improving temporal stability and accuracy for endoscopic video tissue classification using recurrent neural networks.Sensors, 20(15):4133, 2020
Reference 10
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Observation ed767d32-291b-4c6d-881f-96f7ba4adc45 · outbound
Current validation practice undermines surgical AI development Frame-by-frame analysis of a commercially available artificial intelligence polyp detection system in full-length colonoscopies.Digestion, 103(5):378–385, 2022
Reference 11
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Unavailable: canonical work link unavailable.
Observation fa5f5262-7657-4d7b-b7a8-4a398720aaf8 · outbound
Current validation practice undermines surgical AI development Delphi process: a methodology used for the elicitation of opinions of experts
Reference 12
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Observation 3028aebf-11d3-46d5-8706-c980c279916d · outbound
Current validation practice undermines surgical AI development Finding spurious correlations with function-semantic contrast analysis, 2023
Reference 13
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Observation 2d21cccf-2710-457a-a6aa-ec870f015bf4 · outbound
Current validation practice undermines surgical AI development Artificial intelligence for surgical scene understanding: A systematic review and reporting quality meta-analysis.medRxiv, pages 2025–07, 2025
Reference 14
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Observation 4edd839d-ecf9-412b-bada-797444a0e43e · outbound
Current validation practice undermines surgical AI development Surgt challenge: Benchmark of soft-tissue trackers for robotic surgery.Medical image analysis, 91:102985, 2024
Reference 15
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Unavailable: canonical work link unavailable.
Observation 882a9b23-9bba-41aa-8b23-8a13f23efa95 · outbound
Current validation practice undermines surgical AI development Causality matters in medical imaging.Nature Communications, 11(1): 3673, 2020
Reference 16
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Unavailable: canonical work link unavailable.
Observation 102bf4f0-0ebd-41ae-9fa7-657c8ad51fc4 · outbound
Current validation practice undermines surgical AI development Automatic tissue segmentation of hyperspectral images in liver and head neck surgeries using machine learning.Artificial Intelligence Surgery, 1(1):22–37, 2021
Reference 17
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Observation 63643a18-f37e-41f4-a782-94a9f97cc4ef · outbound
Current validation practice undermines surgical AI development Why deep surgical models fail?: Revisiting surgical action triplet recognition through the lens of robustness, 2023
Reference 18
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Observation 70c71c70-892c-4e84-976b-548e058bed1f · outbound
Current validation practice undermines surgical AI development Same data, opposite results?: A call to improve surgical database research.JAMA surgery, 156(3):219–220, 2021
Reference 19
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Observation 20384e01-94aa-401a-9543-efa648ebf1de · outbound
Current validation practice undermines surgical AI development Confidence intervals uncovered: Are we ready for real-world medical imaging ai?, 2024
Reference 20
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Observation 471f32f1-f2f3-4ef0-ae6a-c06ac6fa8577 · outbound
Current validation practice undermines surgical AI development False promises in medical imaging ai? assessing validity of outperformance claims, 2025
Reference 21
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Observation 0b913caf-c409-45b0-9332-152efa4a9ae7 · outbound
Current validation practice undermines surgical AI development Unresolved cited work
Reference 22
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Observation 54adcbb4-220d-4a77-9d7f-5bc8ebcabc28 · outbound
Current validation practice undermines surgical AI development Opera: Attention-regularized transformers for surgical phase recognition, 2021
Reference 23
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Observation 7e581166-9479-4925-985d-dff113676630 · outbound
Current validation practice undermines surgical AI development PhD thesis, Technische Universität München, 2023
Reference 24
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Observation aad7e74f-0c90-46ba-9615-7406a96bfa95 · outbound
Current validation practice undermines surgical AI development Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification
Reference 25
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Unavailable: canonical work link unavailable.
Observation 251ad6b1-73e8-40e5-bb1f-6b4b66daad84 · outbound
Current validation practice undermines surgical AI development Deep learning in surgical workflow analysis: a review of phase and step recognition.IEEE Journal of Biomedical and Health Informatics, 27(11):5405–5417, 2023
Reference 26
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Observation 48c35f43-47dc-43b6-954b-017e1d2f62f2 · outbound
Current validation practice undermines surgical AI development Automatic data-driven real-time segmentation and recognition of surgical workflow.International journal of computer assisted radiology and surgery, 11(6):1081–1089, 2016
Reference 27
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Observation 62c58438-f3bb-489e-ab85-f95c3d9eae10 · outbound
Current validation practice undermines surgical AI development Carts: Causality-driven robot tool segmentation from vision and kinematics data, 2022
Reference 28
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Unavailable: canonical work link unavailable.
Observation 80b68905-4808-4ee3-b073-960b51f24cb1 · outbound
Current validation practice undermines surgical AI development Chapman and Hall/CRC, 1994
Reference 29
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Observation 30e6645a-8669-42e9-80b4-b1cc38934e50 · outbound
Current validation practice undermines surgical AI development Improving surgical training phantoms by hyperrealism: deep unpaired image-to-image translation from real surgeries, 2018
Reference 30
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Observation 132f2ebb-ce88-40fb-8a86-6f8364500528 · outbound
Current validation practice undermines surgical AI development Video-based surgical skill assessment using 3d convolutional neural networks.International journal of computer assisted radiology and surgery, 14(7):1217–1225, 2019
Reference 31
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Observation 6ed6418f-0c7e-4f9b-abc3-7b7012c5e0ba · outbound
Current validation practice undermines surgical AI development Metrics Matter in Surgical Phase Recognition
Reference 32
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Observation fb73aa76-c4b8-4e3b-ab73-5840b27c8d1b · outbound
Current validation practice undermines surgical AI development Trans-svnet: Accurate phase recognition from surgical videos via hybrid embedding aggregation transformer, 2021
Reference 33
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Unavailable: canonical work link unavailable.
Observation bb603995-7672-4178-8e9d-0d6ef612695b · outbound
Current validation practice undermines surgical AI development Shortcut learning in deep neural networks.Nature Machine Intelligence, 2(11):665–673, 2020
Reference 34
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Observation 1e913c79-9f38-4911-b74d-7271afbb5014 · outbound
Current validation practice undermines surgical AI development Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection
Reference 35
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Observation 872fdf1d-d8d7-4cbe-af74-7ff89015b6f7 · outbound
Current validation practice undermines surgical AI development Jäger, and Lena Maier-Hein
Reference 36
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Observation 922faf19-d258-4e0d-b19f-cff3f180afe1 · outbound
Current validation practice undermines surgical AI development Act-net: Anchor- context action detection in surgery videos, 2023
Reference 37
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Observation 62dac795-7e86-4c66-ab0b-077f62b22887 · outbound
Current validation practice undermines surgical AI development Computer vision analysis of intraoperative video: automated recognition of operative steps in laparoscopic sleeve gastrectomy.Annals of surgery, 270(3):414–421, 2019
Reference 38
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Observation 1db490c0-7cbd-4f29-9462-c84d3acf5731 · outbound
Current validation practice undermines surgical AI development A foundation for evaluating the surgical artificial intelligence literature.European Journal of Surgical Oncology, 50(12):108014, 2024
Reference 39
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Observation 166f587d-3059-4d9d-95a8-17452c54c1a5 · outbound
Current validation practice undermines surgical AI development An empirical study on activity recognition in long surgical videos, 2022
Reference 40
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Observation 884eaeb5-f979-421f-865d-0f07df95c416 · outbound
Current validation practice undermines surgical AI development Next-generation surgical navigation: Marker-less multi-view 6dof pose estimation of surgical instruments.Medical Image Analysis, page 103613, 2025
Reference 41
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Observation 1392ec2c-fa61-4c02-87f3-0cd80209ec13 · outbound
Current validation practice undermines surgical AI development CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
Reference 42
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Observation 6460cf5b-6742-42ef-97f6-6bbede4c8941 · outbound
Current validation practice undermines surgical AI development Peg transfer workflow recognition challenge report: Do multimodal data improve recognition?Computer Methods and Programs in Biomedicine, 236:107561, 2023
Reference 43
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Observation be421bf9-e16c-45d1-b03d-9e5bdb0d567e · outbound
Current validation practice undermines surgical AI development Global versus local kinematic skills assessment on robotic-assisted hysterectomies.IEEE Transactions on Medical Robotics and Bionics, 2024
Reference 44
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Observation 761ee977-d871-4828-a734-7b08a1cbd2a4 · outbound
Current validation practice undermines surgical AI development Experts vs super-experts: differences in automated performance metrics and clinical outcomes for robot-assisted radical prostatectomy.BJU international, 123(5):861–868, 2019
Reference 45
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Observation c19fd044-c8ad-4aea-bbe6-87221c15dda0 · outbound
Current validation practice undermines surgical AI development Risk factors for bad splits during sagittal split ramus osteotomy: a retrospective study of 964 cases.British Journal of Oral and Maxillofacial Surgery, 59(6):678–682, 2021
Reference 46
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Observation 115e873d-c41a-4d5f-8351-506c2268d716 · outbound
Current validation practice undermines surgical AI development Sv-rcnet: workflow recognition from surgical videos using recurrent convolutional network.IEEE transactions on medical imaging, 37(5): 1114–1126, 2017
Reference 47
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Observation 5e4c5fd5-0b2f-4b2a-8b62-0f3ce2f070d5 · outbound
Current validation practice undermines surgical AI development Temporal memory relation network for workflow recognition from surgical video.IEEE Transactions on Medical Imaging, 40(7):1911–1923, 2021
Reference 48
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Observation a5e2e9c1-acc6-48be-ae7d-a146843b57de · outbound
Current validation practice undermines surgical AI development Quality over quantity? the role of data quality and uncertainty for ai in surgery.Global Surgical Education-Journal of the Association for Surgical Education, 3(1):79, 2024
Reference 49
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Observation e17d623c-6774-4cbd-aba4-49512558dfb2 · outbound
Current validation practice undermines surgical AI development Inter-observer variability of manual contour delineation of structures in ct.European radiology, 29(3):1391–1399, 2019
Reference 50
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Observation d18f6a52-52db-4cbf-87b1-3b775f3cb129 · outbound
Current validation practice undermines surgical AI development State-of-the-art of situation recognition systems for intraoperative procedures.Medical & Biological Engineering & Computing, 60(4):921–939, 2022
Reference 51
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Observation 2d8029d3-e14a-4cb7-b013-7e92b74cf08a · outbound
Current validation practice undermines surgical AI development Unresolved cited work
Reference 52
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Observation 37e6c220-9bc0-4ef4-b1a8-4182e7d50da4 · outbound
Current validation practice undermines surgical AI development Federated cycling (fedcy): Semi-supervised federated learning of surgical phases.IEEE transactions on medical imaging, 42(7):1920–1931, 2022
Reference 53
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Observation e384a0dc-6f08-40a0-9c87-08229b4c46c6 · outbound
Current validation practice undermines surgical AI development A new measure of rank correlation.Biometrika, 30(1-2):81–93, 1938
Reference 54
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Observation 459eb06d-d829-4916-ba63-ea88e91b3cb3 · outbound
Current validation practice undermines surgical AI development Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery.NPJ Digital Medicine, 7(1):314, 2024
Reference 55
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Observation a76f6504-82c3-4948-bbd0-0d1a5bf3b4f7 · outbound
Current validation practice undermines surgical AI development Physical imaging parameter variation drives domain shift.Scientific Reports, 12(1):21302, 2022
Reference 56
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Observation 9122a5df-90d0-450c-b4e7-0cd4b2049356 · outbound
Current validation practice undermines surgical AI development Pelphix: Surgical phase recognition from x-ray images in percutaneous pelvic fixation, 2023
Reference 57
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Observation 8e84272a-91b7-40cd-a3e7-cd780513ab1e · outbound
Current validation practice undermines surgical AI development Surgical phase recognition: From public datasets to real-world data.Applied Sciences, 12(17):8746, 2022
Reference 58
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Observation c5b7b707-9486-4f72-a978-ca0010ccc842 · outbound
Current validation practice undermines surgical AI development A vision transformer for decoding surgeon activity from surgical videos.Nature biomedical engineering, 7(6):780–796, 2023
Reference 59
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Observation d2d63621-7d87-48ab-9155-dfc8822a27b5 · outbound
Current validation practice undermines surgical AI development Susceptibility to Image Resolution in Face Recognition and Trainings Strategies
Reference 60
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Observation b2c5f749-0f1d-463e-95c4-827a604114d2 · outbound
Current validation practice undermines surgical AI development Adherence to the checklist for artificial intelligence in medical imaging (claim): an umbrella review with a comprehensive two-level analysis.Diagn Interv Radiol, 2025
Reference 61
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Observation e0308f6f-82b7-4fcf-a2a6-4d1efa0606c5 · outbound
Current validation practice undermines surgical AI development Distribution shift detection for the postmarket surveillance of medical ai algorithms: a retrospective simulation study.NPJ Digital Medicine, 7(1):120, 2024
Reference 62
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Observation c64b725e-20d5-4542-b871-cc6445a1ee63 · outbound
Current validation practice undermines surgical AI development Unresolved cited work
Reference 63
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Observation a6ca0b98-bbb1-4b00-846b-ea636c2dc3b1 · outbound
Current validation practice undermines surgical AI development Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise–an experimental study.International Journal of Surgery, 109 (10):2962–2974, 2023
Reference 64
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Observation f77e8be4-c709-4757-9b24-225a5cad7715 · outbound
Current validation practice undermines surgical AI development Unresolved cited work
Reference 65
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Observation c87d47e7-a363-4381-9f87-2710c1710a04 · outbound
Current validation practice undermines surgical AI development Strategies to improve real-world applicability of laparoscopic anatomy segmentation models, 2024
Reference 66
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Observation 9b88a692-ab2a-4797-aca6-994cb2c942ca · outbound
Current validation practice undermines surgical AI development Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks.medRxiv, pages 2025–09, 2025
Reference 67
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Observation af68f292-7957-4639-9aff-42d0f1946fd5 · outbound
Current validation practice undermines surgical AI development Unresolved cited work
Reference 68
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Observation d7437706-2f0e-48c6-8a55-e40e11dd39e2 · outbound
Current validation practice undermines surgical AI development Robust consistent video depth estimation, 2021
Reference 69
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Observation 7eebe060-b39f-4a47-85fd-64579ca8c45b · outbound
Current validation practice undermines surgical AI development Surgical phase and instrument recognition: how to identify appropriate dataset splits.International Journal of Computer Assisted Radiology and Surgery, 19(4):699–711, 2024
Reference 70
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Observation b7c1b750-b94f-4fdc-b725-11670b8cdd54 · outbound
Current validation practice undermines surgical AI development Unresolved cited work
Reference 71
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Unavailable: canonical work link unavailable.
Observation f3f3fec7-7535-400f-a7a9-998e6ed3a4b2 · outbound
Current validation practice undermines surgical AI development Artificial intelligence in surgery: evolution, trends, and future directions
Reference 72
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Observation 246f219c-33c6-46e9-a915-68112b4de7bb · outbound
Current validation practice undermines surgical AI development Skit: a fast key information video transformer for online surgical phase recognition, 2023
Reference 73
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Observation 3d3e734c-945e-45e4-bd84-458600b7543c · outbound
Current validation practice undermines surgical AI development Artificial intelligence–enabled decision support in surgery: state-of-the-art and future directions.Annals of Surgery, 278(1):51–58, 2023
Reference 74
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Observation 8f26c906-852e-4e2e-826c-78bc04147185 · outbound
Current validation practice undermines surgical AI development Impact of quality, type and volume of data used by deep learning models in the analysis of medical images.Informatics in Medicine Unlocked, 29:100911, 2022
Reference 75
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Observation dc2e7f5b-3e33-4ff8-9386-6009717d8a35 · outbound
Current validation practice undermines surgical AI development Hota: A higher order metric for evaluating multi-object tracking.International journal of computer vision, 129(2): 548–578, 2021
Reference 76
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Observation 80929f50-b67d-4a74-b3ce-ae6c861dc27b · outbound
Current validation practice undermines surgical AI development Artificial intelligence for intra- operative guidance: using semantic segmentation to identify surgical anatomy during laparoscopic cholecystectomy
Reference 77
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Observation 893d01a1-ca3a-4cdf-aeb4-9ce2b49c4c13 · outbound
Current validation practice undermines surgical AI development Detecting spurious correlations with sanity tests for artificial intelligence guided radiology systems.Frontiers in digital health, 3:671015, 2021
Reference 78
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Observation b0ad208a-5591-4a2e-9cc9-e8a8e521b641 · outbound
Current validation practice undermines surgical AI development Surgical data science for next-generation interventions.Nature Biomedical Engineering, 1(9):691–696, 2017
Reference 79
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Observation 67de8642-9e8a-4e9b-852f-853e4a643809 · outbound
Current validation practice undermines surgical AI development Heidelberg colorectal data set for surgical data science in the sensor operating room.Scientific data, 8(1):101, 2021
Reference 80
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Observation 865d2f83-a13f-4de5-9a33-a99e9d605dc2 · outbound
Current validation practice undermines surgical AI development Metrics reloaded: recommendations for image analysis validation.Nature methods, 21(2):195–212, 2024
Reference 81
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Observation 3d50dfa8-06f0-4f6b-9da6-6a95efb1a537 · outbound
Current validation practice undermines surgical AI development Unresolved cited work
Reference 82
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Observation 801bd23c-d565-48be-b969-987b778efccb · outbound
Current validation practice undermines surgical AI development m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks
Reference 83
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Observation 3106de40-f98b-46ee-abe9-e821b3d4baa0 · outbound
Current validation practice undermines surgical AI development Appraising the quality of development and reporting in surgical prediction models.JAMA surgery, 158(2):214–216, 2023
Reference 84
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Observation 3daf279a-ff5a-4a7a-a187-50dd9d80355b · outbound
Current validation practice undermines surgical AI development Multicentric validation of endodigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy
Reference 85
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Observation af9f66b8-1562-47e2-a081-2d5155119668 · outbound
Current validation practice undermines surgical AI development The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark
Reference 86
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Observation c2f24477-e8a9-425a-8b98-95337d6e4873 · outbound
Current validation practice undermines surgical AI development Delphi methodology in healthcare research: how to decide its appropri- ateness.World journal of methodology, 11(4):116, 2021
Reference 87
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Observation 76a4509e-f2fd-4069-9a45-b2204e2d740b · outbound
Current validation practice undermines surgical AI development Systematic review finds “spin” practices and poor reporting standards in studies on machine learning-based prediction models.Journal of Clinical Epidemiology, 158:99–110, 2023
Reference 88
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Observation d413557e-dc1c-4706-bc0d-12bda248999e · outbound
Current validation practice undermines surgical AI development Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets
Reference 89
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Observation 7bc08eea-a995-4c10-9757-388ec53fc650 · outbound
Current validation practice undermines surgical AI development Surgitrack: Fine-grained multi-class multi-tool tracking in surgical videos.Medical Image Analysis, 101:103438, 2025
Reference 90
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Observation 9f5a3449-6ab0-4125-9f6a-7bd21c3b11b7 · outbound
Current validation practice undermines surgical AI development Cholectriplet2021: A benchmark challenge for surgical action triplet recognition.Medical Image Analysis, 86:102803, 2023
Reference 91
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Observation 49fa842a-a205-4ac3-ab0c-af5bbae62cd6 · outbound
Current validation practice undermines surgical AI development CholecTrack20: A Multi-Perspective Tracking Dataset for Surgical Tools
Reference 92
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Observation 4b33077a-df14-4e52-86d4-31336fab50be · outbound
Current validation practice undermines surgical AI development A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video.Surgical endoscopy, 37(6):4298–4314, 2023
Reference 93
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Observation 8a2a5f58-b520-4249-a2d9-4b89d716a0a4 · outbound
Current validation practice undermines surgical AI development A guide to annotation of neurosurgical intraoperative video for machine learning analysis and computer vision.World neurosurgery, 150:26–30, 2021
Reference 94
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Observation b29f323f-0eb9-432e-8b04-53a2c260532b · outbound
Current validation practice undermines surgical AI development Cross-dataset adaptation for instrument classification in cataract surgery videos, 2023
Reference 95
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Observation 875fc44b-afc1-4ecc-a96a-e2e4a8ba7f89 · outbound
Current validation practice undermines surgical AI development Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation
Reference 96
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Observation 2833e54c-a658-404a-9cf1-5e5a389431ca · outbound
Current validation practice undermines surgical AI development Labelling instructions matter in biomedical image analysis.Nature Machine Intelligence, 5(3):273–283, 2023
Reference 97
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Observation ea3e01fd-965a-436e-af66-27a11f76d598 · outbound
Current validation practice undermines surgical AI development Dissecting self-supervised learning methods for surgical computer vision.Medical Image Analysis, 88:102844, 2023
Reference 98
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Observation f05f5ae5-0ba6-47b5-9f29-741329cb1ce2 · outbound
Current validation practice undermines surgical AI development Common Limitations of Image Processing Metrics: A Picture Story
Reference 99
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Observation 61d3a2f7-5764-481f-8400-7627004ec9ae · outbound
Current validation practice undermines surgical AI development Understanding metric-related pitfalls in image analysis validation.Nature methods, 21(2):182–194, 2024
Reference 100
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No inbound Pith citation observations are available.