Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:11:51.032117Z
Paper Citation Record · LEDGER
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection
As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2507.00832.
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 2026-08-10T06:31:04.303077+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
12 of 12 outbound references displayed
- verified exact2
- verified fuzzy10
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 43e1909a-0af5-4597-9065-3b63294a1c97 · outbound
This paper cites Short- and long-term mortality of subarachnoid hemorrhage according to hospital volume and severity using a nationwide multicenter registry study.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Short- and long-term mortality of subarachnoid hemorrhage according to hospital volume and severity using a nationwide multicenter registry study
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:52.473637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 62f00b67-fb20-4402-887f-00404c123e78 · outbound
This paper cites Vessel-aware aneurysm detection using multi-scale deformable 3D attention.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Vessel-aware aneurysm detection using multi-scale deformable 3D attention
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:52.333314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3d883a33-372d-4637-8e67-0596f5e5a1aa · outbound
This paper cites Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning Model.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning Model
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:52.187714Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a003f0d9-c21b-4d41-a753-ad4357e5ccab · outbound
This paper cites Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta-analysis
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:52.088027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5b52feea-75b0-4187-a5be-4671e0bce0db · outbound
This paper cites Effectiveness of tuning an artificial intelligence algorithm for cerebral aneurysm diagnosis: a study of 10,000 consecutive cases.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Effectiveness of tuning an artificial intelligence algorithm for cerebral aneurysm diagnosis: a study of 10,000 consecutive cases
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:51.992001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a66ab1ce-b00b-459c-9312-3b66ce23a7cc · outbound
This paper cites Deep Learning- Based Detection of Intracranial Aneurysms in 3D TOF-MRA.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Deep Learning- Based Detection of Intracranial Aneurysms in 3D TOF-MRA
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:51.874205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fb97fb45-795a-4482-ad62-be30ba83a443 · outbound
This paper cites Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi- Center Study.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Multidimensional Deep Learning Reduces False-Positives in the Automated Detection of Cerebral Aneurysms on Time-Of-Flight Magnetic Resonance Angiography: A Multi- Center Study
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:51.763839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c326b857-e399-4c46-93c7-fa9400c9927c · outbound
This paper cites CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
Reference 8
- Resolution
- verified exact
- doi, observed 2026-08-06T21:11:51.161571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9a33a99f-f8ae-400f-9def-35d6ee62e6cf · outbound
This paper cites Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:51.636682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cf4def4a-abc0-4ac6-831a-1eb37c63fddf · outbound
This paper cites 3D Slicer as an image computing platform for the Quantitative Imaging Network.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection 3D Slicer as an image computing platform for the Quantitative Imaging Network
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:51.516627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 115cb58d-9bc0-43ee-8ba8-f336e0c4cdca · outbound
This paper cites Dynamic-Computed Tomography Angiography for Cerebral Vessel Templates and Segmentation.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection Dynamic-Computed Tomography Angiography for Cerebral Vessel Templates and Segmentation
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:11:51.309284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a6929644-db4c-4de4-9d53-d1eb988d4d77 · outbound
This paper cites TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images.
Automated anatomy-based post-processing reduces false positives and improved interpretability of deep learning intracranial aneurysm detection TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:51.413831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.