Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:58:00.351578Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2509.08973.
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 2026-08-04T19:58:00.351578Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ba409873-d598-4fec-98ec-58f270d9e6ff · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Unresolved cited work
Reference 1
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Observation d7381582-9327-4680-8ee1-6ea9a7af48f6 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Dental cone beam CT and its justified use in oral health care.J Belg Soc Radiol., 94(5):254–265, 2011
Reference 2
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Observation 81cf491f-e0f2-4362-8927-ae849c366585 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Introduction of portable computed tomography scanners, in the treatment of acute stroke patients via telemedicine in remote communities.Int J Stroke, 5(2):62–66, 2010
Reference 3
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Observation cc7b427f-0be0-47e5-ad95-5fe1d8280691 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Cone-beam computed tomography with a flat- panel imager: magnitude and effects of x-ray scatter.Med Phys., 28(2):220–231, 2001
Reference 4
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Observation ffd46f34-c872-43f9-b889-80888e5a0717 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography The effects of scatter in x-ray computed tomography
Reference 5
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Observation 6e9e4730-e997-4b21-a0c5-68a5bb10187a · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Unresolved cited work
Reference 6
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Observation 75dc2f6f-53e4-4fcd-98f9-647eb171edef · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Scatter rejection by air gaps: An empirical model.Med Phys., 12(3):308–316, 1985
Reference 7
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Observation c44a5139-2738-43c0-a718-e819157d2880 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Efficiency of antiscatter grids for flat-detector CT
Reference 8
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Observation 875305ac-1ee0-4b6b-b305-6256ca2b7345 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Scatter correction for cone-beam CT in radiation therapy.Med Phys., 36(6Part1):2258–2268, 2009
Reference 9
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Observation da9b6611-4a7a-4499-873e-3c13e722d18f · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography The effects of compensator and imaging geometry on the distribution of x-ray scatter in CBCT.Med Phys., 38(2):897–914, 2011
Reference 10
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Observation 36c6bb7a-950e-4151-840e-2da0d3ea5c25 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Feasibility of volume-of-interest (VOI) scanning technique in cone beam breast CT—a preliminary study.Med Phys., 35(8):3482–3490, 2008
Reference 11
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Observation 014dca2c-9acc-43f4-a63d-5fdff9551ece · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography A general framework and review of scatter correction methods in x-ray cone-beam computerized tomography
Reference 12
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Observation 22494953-6cfa-4568-80ed-8bb66a774e22 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Accelerating Monte Carlo simulations of photon trans- port in a voxelized geometry using a massively parallel graphics processing unit
Reference 13
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Observation 788b2d14-17dc-45c7-9079-451d0d914ce8 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Monte-Carlo scatter correction for cone-beam computed tomography with limited scan field-of-view
Reference 14
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Observation c1b7d1f8-2442-4f66-943a-1c9b8afaa269 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography U-Net: Convolutional Networks for Biomedical Image Segmentation
Reference 15
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Observation ccfc5a8a-90c6-43e7-8798-1e467c8ec12d · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Unresolved cited work
Reference 16
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Observation c3227503-6fd5-4d56-954b-d0c7c1aa889c · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.Med Phys., 46(7):3142–3155, 2019
Reference 17
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Observation 7c089bb8-b559-495b-aa7f-444d307d8671 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography A deep learning approach to estimate x-ray scatter in digital breast tomosynthesis: From phantom models to clinical applications.Med Phys., 50(8):4744–4757, 2023
Reference 18
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Observation f2b73cf7-1f9a-4b61-a618-d390cdc8f5ef · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Task-based transferable deep-learning scatter correction in cone beam computed tomography: a simulation study.J
Reference 19
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Observation bfa7f053-a3d7-45c8-83c4-68030981a6ae · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Deep learning architecture for scatter estimation in cone-beam computed tomography head imaging with varying field- of-measurement settings.J Med Imaging, 11(5):053501–053501, 2024
Reference 20
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Observation 15e5c9ec-5542-4224-9154-505f77f429d6 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Deep learning-based forward and cross-scatter correction in dual-source CT
Reference 21
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Observation 905e477f-eb2b-4d3e-aeae-fe1021f41a34 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Utilizing U-Net architec- tures with auxiliary information for scatter correction in CBCT across different field-of-view settings
Reference 22
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Observation 2eb7c41a-78f8-4fed-b36b-ac14a263379b · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Effect of the pixel interpolation method for downsampling medical images on deep learning accuracy.J Comput Commun., 9(11):150–156, 2021
Reference 23
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Observation b67f7944-afcc-4778-90f7-828dbe011bac · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography The impact of downsampling methods 18 on face recognition in electronic identity card
Reference 24
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Observation 27781eb3-6f7b-418d-b01c-8f12a21e85f9 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography A deep learning-based scatter correction of simulated x-ray images.Electronics, 8(9):944, 2019
Reference 25
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Observation a1e826e3-4a8a-467f-8596-032836259cca · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Evaluation of cbct scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy.Phys Med Biol., 65(24):245022, 2020
Reference 26
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Observation e37e6562-e643-4931-859b-438f62128ad1 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography PENELOPE-2006: A code sys- tem for Monte Carlo simulation of electron and photon transport
Reference 27
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Unavailable: canonical work link unavailable.
Observation 5fbd069e-ed48-43b4-895f-2924075eb74b · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Deep Learning Based Projection Domain Metal Segmentation for Metal Artifact Reduction in Cone Beam Computed Tomography.IEEE Access, 11:100371–100382, 2023
Reference 28
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Observation dd5f0433-4c48-4259-b133-180fbcab2881 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Head-and-neck squa- mous cell carcinoma patients with CT taken during pre-treatment, mid- treatment, and post-treatment (HNSCC-3DCT-RT) [Dataset]
Reference 29
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Observation fef606c5-f2be-4574-840b-676f780e200e · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository.J Digit Imaging, 26(6):1045–1057, 2013
Reference 30
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Observation f16bc001-511e-4dd8-9188-f593813cf85a · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation
Reference 31
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Observation d13ec371-31b3-4246-a83c-0ea3893a53d2 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Nearest Neighbor Value Interpolation
Reference 32
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Observation 40689a9f-eaf2-4593-b205-5ae52feb7374 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Area-based interpolation for scaling of images from a CCD
Reference 33
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Observation 3e78849f-da11-4673-aed2-3c4b47852e3c · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Survey: Interpolation methods in medical image processing.IEEE Trans Med Imaging, 18(11):1049–1075, 1999
Reference 34
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Observation 8350059f-2481-4ba3-b933-079771dec920 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Cubic convolution interpolation for digital image processing.IEEE Trans Acoust Speech Signal Process., 29(6):1153–1160, 1981
Reference 35
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Observation da7ae234-f483-4251-86e5-f5d7d9c812f7 · outbound
Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography Practical cone-beam algorithm.J Opt Soc Am A 1, 1(6):612–619, 1984
Reference 36
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No inbound Pith citation observations are available.