Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:35:49.009689Z
Paper Citation Record · LEDGER
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection
As of 15 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2507.02349.
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 2026-08-15T06:32:42.880941+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
53 of 53 outbound references displayed
- verified exact1
- verified fuzzy52
- unresolved0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation aaefcf71-1098-410c-83ff-90bf255168a7 · outbound
This paper cites Completeness of the circle of willis and risk of ischemic stroke in patients without cerebrovascular disease,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Completeness of the circle of willis and risk of ischemic stroke in patients without cerebrovascular disease,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:59.196854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2e090e16-8c97-4f6a-8bfd-680ca9134ca1 · outbound
This paper cites Relationship of a1 segment hypoplasia to anterior communicating artery aneurysm morphology and risk factors for aneurysm formation,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Relationship of a1 segment hypoplasia to anterior communicating artery aneurysm morphology and risk factors for aneurysm formation,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:58.999260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a39d0d66-acfc-45ee-ace7-a1b56c7614b9 · outbound
This paper cites Cerebral aneurysms and variations in the circle of willis.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Cerebral aneurysms and variations in the circle of willis
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:58.841460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d31a213a-e7fd-45ac-bfce-2854b2f0ffd6 · outbound
This paper cites Bifurcation geometry remodelling of vessels in de novo and growing intracranial aneurysms: a multicenter study,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Bifurcation geometry remodelling of vessels in de novo and growing intracranial aneurysms: a multicenter study,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:58.618353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3ba0d641-c687-4fe3-ba42-5282f88f63cc · outbound
This paper cites The hemodynamic alterations induced by the vascular angular deformation in stent-assisted coiling of bifurcation aneurysms,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection The hemodynamic alterations induced by the vascular angular deformation in stent-assisted coiling of bifurcation aneurysms,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:58.446272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7a8a3812-d799-472b-841c-ff2ffeb9da02 · outbound
This paper cites A benchmark for comparison of dental radiography analysis algorithms,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection A benchmark for comparison of dental radiography analysis algorithms,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:58.258744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8c51b5db-0c7a-4861-994d-33a7a86986c4 · outbound
This paper cites Automatic landmark estimation for adolescent idiopathic scoliosis assessment using boostnet,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Automatic landmark estimation for adolescent idiopathic scoliosis assessment using boostnet,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:58.044341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a547965-30f8-472f-a022-b60439729fa9 · outbound
This paper cites Integrating spatial configuration into heatmap regression based cnns for landmark localization,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Integrating spatial configuration into heatmap regression based cnns for landmark localization,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:57.878180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6117fc66-a459-472d-b4d3-da6a93630e31 · outbound
This paper cites Vertebrae localization in ct using both local and global symmetry features,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Vertebrae localization in ct using both local and global symmetry features,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:57.711415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ca0f45f5-2329-465d-b25a-6daecf261938 · outbound
This paper cites Automatic localization of cephalometric landmarks,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Automatic localization of cephalometric landmarks,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:57.525074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4e2983b7-0d58-40e2-ad4b-2f89ef59b611 · outbound
This paper cites 3D statistical shape models incorporating landmark-wise random regression forests for omni- directional landmark detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection 3D statistical shape models incorporating landmark-wise random regression forests for omni- directional landmark detection,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:57.345320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5a43b00f-4949-4562-8255-c58eef1496e2 · outbound
This paper cites Automatic landmark detection in cephalometry using a modified active shape model with sub image matching,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Automatic landmark detection in cephalometry using a modified active shape model with sub image matching,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:57.146526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ca2c269e-c191-425c-bded-14a960a4353b · outbound
This paper cites Stratified decision forests for accurate anatomical landmark localization in cardiac images,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Stratified decision forests for accurate anatomical landmark localization in cardiac images,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:56.959242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a066d305-341e-4c9f-9ff3-1d114397e4a0 · outbound
This paper cites From local to global random regression forests: exploring anatomical landmark localization,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection From local to global random regression forests: exploring anatomical landmark localization,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:56.775239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4776f14a-9f3c-4fcd-8328-34f74533cd98 · outbound
This paper cites Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:56.567177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation bd82f03b-337b-4b23-ac85-cf2b021b76e9 · outbound
This paper cites Cephalometric landmark detection in dental x-ray images using convolutional neural networks,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Cephalometric landmark detection in dental x-ray images using convolutional neural networks,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:56.389628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1dee9607-09d8-4a18-bce8-b2b184d7c0e4 · outbound
This paper cites Detecting anatomical landmarks from limited medical imaging data using two-stage task-oriented deep neural networks,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Detecting anatomical landmarks from limited medical imaging data using two-stage task-oriented deep neural networks,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:56.228907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 91b97191-7953-4297-bf96-b7a1ade9e7b5 · outbound
This paper cites Deep learning-based regression and classification for automatic landmark localization in medical images,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Deep learning-based regression and classification for automatic landmark localization in medical images,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:56.055899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9d52b420-b261-4290-ba52-75200bd7d0ed · outbound
This paper cites Cascaded convolutional networks for automatic cephalometric landmark detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Cascaded convolutional networks for automatic cephalometric landmark detection,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:55.884885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 81af8eb0-8c34-4d87-a049-76bc92751d2e · outbound
This paper cites 3D deep learning for efficient and robust landmark detection in volumetric data,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection 3D deep learning for efficient and robust landmark detection in volumetric data,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:55.729721Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation daa74b56-f7be-48c0-ac91-8b71639ea0b5 · outbound
This paper cites Regressing heatmaps for multiple landmark localization using cnns,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Regressing heatmaps for multiple landmark localization using cnns,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:55.567049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c89098bd-ec24-4c26-8d4b-dfce74ec2808 · outbound
This paper cites Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Cephalometric landmark detection by attentive feature pyramid fusion and regression-voting,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:55.388986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cfe752f0-823d-46ad-a3e2-7680fd788d84 · outbound
This paper cites Hip landmark detection with dependency mining in ultrasound image,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Hip landmark detection with dependency mining in ultrasound image,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:55.165779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 885b5296-8005-4073-8081-22f3e47b79fb · outbound
This paper cites Deep anatomical context feature learning for cephalometric landmark detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Deep anatomical context feature learning for cephalometric landmark detection,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:54.980393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 65f45c93-b871-4c6d-b975-a798e8ab53f4 · outbound
This paper cites Multi-input adaptive neural network for automatic detection of cervical vertebral landmarks on x-rays,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Multi-input adaptive neural network for automatic detection of cervical vertebral landmarks on x-rays,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:54.840308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 740e27b0-1522-4c80-81c8-5786cd986252 · outbound
This paper cites Feature aggregation and refinement network for 2d anatomical landmark detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Feature aggregation and refinement network for 2d anatomical landmark detection,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:54.637010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0ea5ae4c-2e23-4ec0-89ff-87eaf143ec41 · outbound
This paper cites An artificial agent for anatomical landmark detection in medical images,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection An artificial agent for anatomical landmark detection in medical images,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:54.506257Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d0be3c0d-41ba-4744-94aa-215498f92026 · outbound
This paper cites Evaluating reinforcement learning agents for anatomical landmark detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Evaluating reinforcement learning agents for anatomical landmark detection,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:54.363269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 16f3a89f-990e-4c1d-9325-12ea8932a81c · outbound
This paper cites Cephanet: An improved faster r-cnn for cephalometric landmark detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Cephanet: An improved faster r-cnn for cephalometric landmark detection,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:54.152719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 298cfdaa-b651-44a3-98be-b71884fb94df · outbound
This paper cites Fast and accurate craniomaxillofacial landmark detection via 3d faster r-cnn,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Fast and accurate craniomaxillofacial landmark detection via 3d faster r-cnn,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:53.927821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 45e04c05-01ab-463d-8d68-6dd89abd6d7a · outbound
This paper cites Craniomaxillofacial bone segmentation and landmark detection using semantic segmentation networks and an unbiased heatmap,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Craniomaxillofacial bone segmentation and landmark detection using semantic segmentation networks and an unbiased heatmap,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:53.695694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3540e68c-9bef-4ed4-8f55-91bad1ae672c · outbound
This paper cites Anatomical labeling of the circle of willis using maximum a posteriori probability estimation,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Anatomical labeling of the circle of willis using maximum a posteriori probability estimation,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:53.503829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cbfe930c-0e41-484f-81fd-8883dfb9f907 · outbound
This paper cites Simultaneous segmentation and anatomical labeling of the cerebral vasculature,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Simultaneous segmentation and anatomical labeling of the cerebral vasculature,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:53.303787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fe12560f-31f7-4cad-8353-041a3616de94 · outbound
This paper cites Automated anatomical labeling of the cerebral arteries using belief propagation,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Automated anatomical labeling of the cerebral arteries using belief propagation,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:53.044795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 841c9a76-2141-45db-b7b6-6a8958b9693c · outbound
This paper cites Gurobi optimizer reference manual,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Gurobi optimizer reference manual,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:52.821006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5f84bae2-fa40-4cf0-bd58-f054e7deef3c · outbound
This paper cites A stereotactic probabilistic atlas for the major cerebral arteries,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection A stereotactic probabilistic atlas for the major cerebral arteries,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:52.603523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation adc9acd4-2a17-40dc-8784-10fc77d7b3df · outbound
This paper cites Automatic labeling of vascular structures with topological constraints via HMM,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Automatic labeling of vascular structures with topological constraints via HMM,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:52.299944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f372f335-3d08-4812-8dba-5552fe97ee99 · outbound
This paper cites 3D vascular skeleton extraction and decomposition,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection 3D vascular skeleton extraction and decomposition,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:52.074517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a02db513-0558-44de-9fc8-3c62c12adc32 · outbound
This paper cites Using deep learning for an automatic detection and classification of the vascular bifurcations along the circle of willis,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Using deep learning for an automatic detection and classification of the vascular bifurcations along the circle of willis,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:51.850875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 99dab858-f22a-4a96-809d-93d4be563257 · outbound
This paper cites Multi-task global optimization-based method for vascular landmark detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Multi-task global optimization-based method for vascular landmark detection,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:51.590520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0ed262bc-d5f9-40bc-b429-9d4774eed84c · outbound
This paper cites The role of circle of willis anomalies in cerebral aneurysm rupture,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection The role of circle of willis anomalies in cerebral aneurysm rupture,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:51.370259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 63881d66-9e57-41e8-b11c-85535ba31699 · outbound
This paper cites Unruptured intracranial aneurysms: epidemiology, natural history, management options, and familial screening,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Unruptured intracranial aneurysms: epidemiology, natural history, management options, and familial screening,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:51.106359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 11539c67-1073-4dff-990e-ee5a6a6c7e92 · outbound
This paper cites An overview of intracranial aneurysms,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection An overview of intracranial aneurysms,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:50.917140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9c985375-7bfc-457f-bb06-4531cc9a551d · outbound
This paper cites A comprehensive study of the anatomical variations of the circle of willis in adult human brains,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection A comprehensive study of the anatomical variations of the circle of willis in adult human brains,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:50.710327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 30b9075b-cc40-4294-9400-f707bc882d04 · outbound
This paper cites Anatomical variations of the circle of willis: evaluation with ct angiography,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Anatomical variations of the circle of willis: evaluation with ct angiography,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:50.499424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2edc449b-dc7a-4707-b3b6-e4a85d7187ff · outbound
This paper cites nnDetection: a self-configuring method for medical object detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection nnDetection: a self-configuring method for medical object detection,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:50.261589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 94231cc2-1ecb-48ee-96b7-f37c5e0ef7e2 · outbound
This paper cites Retina u-net: Embarrassingly simple exploitation of segmentation supervision for medical object detection,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Retina u-net: Embarrassingly simple exploitation of segmentation supervision for medical object detection,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:49.990931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 81cb4725-0342-462e-bba7-1c2d9a65348f · outbound
This paper cites U-Net: Convolutional networks for biomedical image segmentation,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection U-Net: Convolutional networks for biomedical image segmentation,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:49.820983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b2d84a7d-f9ca-424f-8afa-37baec5ef842 · outbound
This paper cites Deep residual learning for image recognition,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Deep residual learning for image recognition,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:49.675797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 93c89e5c-bd90-4635-ab15-57c553b9bc76 · outbound
This paper cites A Multiscale Patch Based Convolutional Network for Brain Tumor Segmentation.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection A Multiscale Patch Based Convolutional Network for Brain Tumor Segmentation
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:35:49.173078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f1925145-05f7-48de-9bb5-fe1117e22b50 · outbound
This paper cites Dilated deeply supervised networks for hippocampus segmentation in mri,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Dilated deeply supervised networks for hippocampus segmentation in mri,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:49.553858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation defade95-9423-4d65-9e99-8d17aefa0f2a · outbound
This paper cites Brave-net: Fully automated arterial brain vessel segmentation in patients with cerebrovascular disease,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Brave-net: Fully automated arterial brain vessel segmentation in patients with cerebrovascular disease,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:49.418445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6a7389f9-2e9c-44f9-9153-040bfeb5b089 · outbound
This paper cites Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for CTA and MRA,.
Two-Steps Neural Networks for an Automated Cerebrovascular Landmark Detection Benchmarking the cow with the topcow challenge: Topology-aware anatomical segmentation of the circle of willis for CTA and MRA,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:35:49.277735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.