Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:28:42.840057Z
Paper Citation Record · LEDGER
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy
As of 23 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.15322.
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 2026-08-23T06:30:58.430688+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
42 of 42 outbound references displayed
- verified exact22
- verified fuzzy11
- unresolved4
- parse uncertain0
- malformed identifier2
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1cc701ec-1ccb-42d9-ba66-d6f5f49e91de · outbound
This paper cites Online verification of breath- hold reproducibility using kV-triggered imaging for liver stereotactic body radiation therapy.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Online verification of breath- hold reproducibility using kV-triggered imaging for liver stereotactic body radiation therapy
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.626936Z
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 c1987a8d-74a8-4ab1-811b-27e7aa657d01 · outbound
This paper cites Stereotactic body radiation therapy in patients with hepatocellular carcinoma: A mini-review.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Stereotactic body radiation therapy in patients with hepatocellular carcinoma: A mini-review
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.505360Z
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 af9156bb-7e75-45e9-a990-d4a6353972ce · outbound
This paper cites The use of active breathing control (ABC) to reduce margin for breathing motion.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy The use of active breathing control (ABC) to reduce margin for breathing motion
Reference 3
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.484633Z
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 30a95aa5-0fcf-43c8-b200-f06139b27b20 · outbound
This paper cites Reproducibility of liver position using active breathing coordinator for liver cancer radiotherapy.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Reproducibility of liver position using active breathing coordinator for liver cancer radiotherapy
Reference 4
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.471519Z
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 e09da0c6-2438-4e4d-b9b0-fa4eb60552a2 · outbound
This paper cites Dosimetric assessment of patient- specific breath-hold reproducibility on liver motion for SBRT planning.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Dosimetric assessment of patient- specific breath-hold reproducibility on liver motion for SBRT planning
Reference 5
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.461239Z
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 8390d226-461e-4f8b-be03-5efa7c3dbe3b · outbound
This paper cites The reproducibility of organ position using active breathing control (ABC) during liver radiotherapy.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy The reproducibility of organ position using active breathing control (ABC) during liver radiotherapy
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.449686Z
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 dc9ea3e8-75fb-46aa-96c1-2b4de9b319b9 · outbound
This paper cites Accuracy of daily image guidance for hypofractionated liver radiotherapy with active breathing control.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Accuracy of daily image guidance for hypofractionated liver radiotherapy with active breathing control
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.439163Z
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 04a8b26d-4075-46e2-8c73-f931c7b229ea · outbound
This paper cites Hypofraction radiotherapy of liver tumor using cone beam computed tomography guidance combined with active breath control by long breath-holding.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Hypofraction radiotherapy of liver tumor using cone beam computed tomography guidance combined with active breath control by long breath-holding
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.426760Z
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 48179711-bdd6-478f-9096-ad798a1365b0 · outbound
This paper cites Assessment of residual error in liver position using kV cone-beam computed tomography for liver cancer high-precision radiation therapy.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Assessment of residual error in liver position using kV cone-beam computed tomography for liver cancer high-precision radiation therapy
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.413648Z
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 5fc5e7da-8e01-4c52-9be1-a706fd9724ec · outbound
This paper cites Interfractional diaphragm changes during breath-holding in stereotactic body radiotherapy for liver cancer.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Interfractional diaphragm changes during breath-holding in stereotactic body radiotherapy for liver cancer
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.402726Z
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 ca3747a1-a952-4e39-879c-d0dd62f0d1c7 · outbound
This paper cites Availability of applying diaphragm matching with the breath-holding technique in stereotactic body radiation therapy for liver tumors.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Availability of applying diaphragm matching with the breath-holding technique in stereotactic body radiation therapy for liver tumors
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.390557Z
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 b96e6355-d208-44a2-9c5d-5ff3cc1596bb · outbound
This paper cites Feasibility of Optical Surface-Guidance for Position Verification and Monitoring of Stereotactic Body Radiotherapy in Deep-Inspiration Breath-Hold.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Feasibility of Optical Surface-Guidance for Position Verification and Monitoring of Stereotactic Body Radiotherapy in Deep-Inspiration Breath-Hold
Reference 12
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-12T14:28:44.134561Z
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 66424bea-02e4-4934-8b5d-2bb7ea509a97 · outbound
This paper cites Active breathing control in combination with ultrasound imaging: a feasibility study of image guidance in stereotactic body radiation therapy of liver lesions.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Active breathing control in combination with ultrasound imaging: a feasibility study of image guidance in stereotactic body radiation therapy of liver lesions
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.319177Z
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 d26f7f17-7cf6-4bf2-8523-7ce883cea567 · outbound
This paper cites Magnetic Resonance-Guided Stereotactic Body Radiotherapy of Liver Tumors: Initial Clinical Experience and Patient-Reported Outcomes.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Magnetic Resonance-Guided Stereotactic Body Radiotherapy of Liver Tumors: Initial Clinical Experience and Patient-Reported Outcomes
Reference 14
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-12T14:28:44.064272Z
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 2ecfaed7-ca05-4d19-bee0-f558c794ca30 · outbound
This paper cites Real-time Magnetic Resonance-guided Liver Stereotactic Body Radiation Therapy: An Institutional Report Using a Magnetic Resonance-Linac System.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Real-time Magnetic Resonance-guided Liver Stereotactic Body Radiation Therapy: An Institutional Report Using a Magnetic Resonance-Linac System
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.220366Z
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 b8c910dd-a56a-4826-b5d5-a015c4007798 · outbound
This paper cites Automated estimation of the upper surface of the diaphragm in 3-D CT images.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Automated estimation of the upper surface of the diaphragm in 3-D CT images
Reference 16
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-12T14:28:43.980239Z
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 66df52a1-08b4-477d-83c9-b0ba34bd19eb · outbound
This paper cites Diaphragm dome surface segmentation in CT data sets: a 3D active appearance model approach.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Diaphragm dome surface segmentation in CT data sets: a 3D active appearance model approach
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.152615Z
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 c9f37620-efab-4b93-9836-db898514e0a0 · outbound
This paper cites Automatic delineation of the diaphragm in computed tomographic images.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Automatic delineation of the diaphragm in computed tomographic images
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.140766Z
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 a262396b-f367-4121-becb-798e513ca8d3 · outbound
This paper cites Anatomy-based algorithm for automatic segmentation of human diaphragm in noncontrast computed tomography images.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Anatomy-based algorithm for automatic segmentation of human diaphragm in noncontrast computed tomography images
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.127854Z
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 aa82c142-be31-4b69-896d-f7e226ff32ea · outbound
This paper cites Accessed November 10, 2023.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Accessed November 10, 2023
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.514080Z
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 1c100d05-eae9-41ba-a53e-7ae7782735e8 · outbound
This paper cites A Review of Deep Transfer Learning and Recent Advancements.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy A Review of Deep Transfer Learning and Recent Advancements
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cbc4efb1-8be0-48ea-9785-6f9a56571c92 · outbound
This paper cites Holistically-Nested Edge Detection.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Holistically-Nested Edge Detection
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation feda8e67-c2e1-49ef-9820-cef055dfaab9 · outbound
This paper cites Accessed November 10, 2023.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Accessed November 10, 2023
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.502382Z
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 f0292b5e-7f63-48fe-b867-b6805aa99770 · outbound
This paper cites Accessed November 10, 2023.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Accessed November 10, 2023
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.490576Z
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 fe9ec654-2aa2-4442-9448-99c7462bb6be · outbound
This paper cites Adaptive Histogram Equalization and Its Variations.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Adaptive Histogram Equalization and Its Variations
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.478690Z
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 09b42868-62ce-43e9-a394-8bd7f3c28a2b · outbound
This paper cites ashukid/hed-edge-detector.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy ashukid/hed-edge-detector
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.467208Z
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 56e3827a-a6a8-4767-a8a4-f201ba42bbc8 · outbound
This paper cites Rectified Linear Units Improve Restricted Boltzmann Machines.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Rectified Linear Units Improve Restricted Boltzmann Machines
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.276357Z
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 95f73ec7-8a90-4beb-8731-b9b8b41c2ad1 · outbound
This paper cites Accessed November 10, 2023.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Accessed November 10, 2023
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.200057Z
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 a169540f-787d-43e0-8739-45d58c44f29c · outbound
This paper cites An overview of gradient descent optimization algorithms.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy An overview of gradient descent optimization algorithms
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5714065d-da0a-4e8b-83a4-dcbdd0f345e1 · outbound
This paper cites grand-challenge.org.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy grand-challenge.org
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.183753Z
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 1f86d532-0368-4b7a-aee3-bbc27628081a · outbound
This paper cites grand-challenge.org.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy grand-challenge.org
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.172062Z
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 b7601509-bd27-46a1-8394-bf201a4543ce · outbound
This paper cites Accessed November 10, 2023.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Accessed November 10, 2023
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.160406Z
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 e9d3eee3-704d-49fd-8154-27e6f189b0a2 · outbound
This paper cites U-Net and its variants for medical image segmentation: theory and applications.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy U-Net and its variants for medical image segmentation: theory and applications
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:28:44.147262Z
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 23b8f845-7520-4afc-aa6a-373a65d97fcf · outbound
This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy U-Net: Convolutional Networks for Biomedical Image Segmentation
Reference 34
- Resolution
- malformed identifier
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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 53cd593b-e0c4-40f6-8d43-3f19f678415b · outbound
This paper cites UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation
Reference 35
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:43.094001Z
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 c0f12eb2-c501-4f43-8e30-85ff242e8a96 · outbound
This paper cites Improved U-Net architecture with VGG-16 for brain tumor segmentation.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Improved U-Net architecture with VGG-16 for brain tumor segmentation
Reference 36
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-12T14:28:42.983713Z
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 1cf50f1a-ec05-410f-9d09-ce36e7959ae5 · outbound
This paper cites Building segmentation from satellite imagery using U-Net with ResNet encoder.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Building segmentation from satellite imagery using U-Net with ResNet encoder
Reference 37
- Resolution
- verified exact
- raw_fallback, observed 2026-08-12T14:28:43.887196Z
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 2fe358ae-ba51-41c8-a304-de955c136d51 · outbound
This paper cites Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:28:42.757601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9465a44-44fb-42c4-ab92-f108d839f32b · outbound
This paper cites Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-12T14:28:42.962652Z
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 2ec37352-5a98-4571-90d9-a8ebe6876f74 · outbound
This paper cites Early Breast Cancer Screening from Thermography via Deep Pre-Trained Edge Detection with Extreme Gradient Boosting.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Early Breast Cancer Screening from Thermography via Deep Pre-Trained Edge Detection with Extreme Gradient Boosting
Reference 40
- Resolution
- verified exact
- raw_fallback, observed 2026-08-12T14:28:43.806694Z
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 796a7641-3591-4149-b411-6210a6a3c090 · outbound
This paper cites Gastro-Intestinal Tract Image Segmentation using Edge U-Net and U-Net VGG19.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Gastro-Intestinal Tract Image Segmentation using Edge U-Net and U-Net VGG19
Reference 41
- Resolution
- verified exact
- raw_fallback, observed 2026-08-12T14:28:43.735718Z
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 ec3e02e4-ddc8-4e7d-87bd-7fdf651e75dc · outbound
This paper cites Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
Reference 42
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- doi, observed 2026-08-12T14:28:42.948756Z
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