Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:16:47.787227Z
Paper Citation Record · LEDGER
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
As of 20 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 3 inbound Pith citation observations for arXiv:2411.17386.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:42:35.509678Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T01:47:22.355691Z
Reference resolution
63 of 63 outbound references displayed
- verified exact4
- verified fuzzy47
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5be45874-02ae-4954-8a83-bac2560826e9 · outbound
This paper cites VesselShot: Few-shot learning for cerebral blood vessel segmentation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation VesselShot: Few-shot learning for cerebral blood vessel segmentation
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:49.087291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f76be1a2-baf8-42df-8f34-99600d7877bf · outbound
This paper cites The Medical Segmentation Decathlon.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation The Medical Segmentation Decathlon
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:49.070463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 94c7ba54-deaf-4f8f-9234-6d0d24b6f25c · outbound
This paper cites V oronoi diagrams—a survey of a fun- damental geometric data structure.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation V oronoi diagrams—a survey of a fun- damental geometric data structure
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:49.053035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 98fd472d-bb33-4f26-ba64-b11651061ec3 · outbound
This paper cites SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:49.029925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0daf2201-6fdd-4762-abe9-ea3b30c19c3a · outbound
This paper cites Leptomeningeal collaterals regulate reperfusion in ischemic stroke and rescue the brain from futile recanal- ization.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Leptomeningeal collaterals regulate reperfusion in ischemic stroke and rescue the brain from futile recanal- ization
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:49.012077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 71f49880-c13e-48a2-bf40-fda81e27e546 · outbound
This paper cites IXI Dataset.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation IXI Dataset
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.991388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0f5bc57c-d429-4c0b-856d-a6808df5de68 · outbound
This paper cites Vessel Tortuosity and Brain Tumor Malignancy: A Blinded Study.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Vessel Tortuosity and Brain Tumor Malignancy: A Blinded Study
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.974819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 576864b2-e5c3-4ece-85ba-9076f1442b63 · outbound
This paper cites Uni- verSeg: Universal Medical Image Segmentation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Uni- verSeg: Universal Medical Image Segmentation
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.958461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 820c401e-f797-41fd-b16c-7fa1ca0887d2 · outbound
This paper cites SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation SMILE-UHURA Challenge -- Small Vessel Segmentation at Mesoscopic Scale from Ultra-High Resolution 7T Magnetic Resonance Angiograms
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T12:16:48.101755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eea2167d-8f6a-4328-bb6b-3c2b616842ef · outbound
This paper cites Attention- Assisted Adversarial Model for Cerebrovascular Segmenta- tion in 3D TOF-MRA V olumes.IEEE Transactions on Med- ical Imaging, 41(12):3520–3532, 2022.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Attention- Assisted Adversarial Model for Cerebrovascular Segmenta- tion in 3D TOF-MRA V olumes.IEEE Transactions on Med- ical Imaging, 41(12):3520–3532, 2022
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.940973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3339c934-a42b-4a1e-8cb5-4d65c5ade0d7 · outbound
This paper cites Functional connectomics spanning multiple areas of mouse visual cortex.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Functional connectomics spanning multiple areas of mouse visual cortex
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.919954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9616fc65-84f0-4b26-80d2-aa0532692a41 · outbound
This paper cites Automatic Segmentation, Feature Extraction and Comparison of Healthy and Stroke Cerebral Vasculature.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Automatic Segmentation, Feature Extraction and Comparison of Healthy and Stroke Cerebral Vasculature
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.902726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0118a92f-6e1a-4888-a083-32c53800df3a · outbound
This paper cites AnyStar: Domain randomized universal star-convex 3D in- stance segmentation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation AnyStar: Domain randomized universal star-convex 3D in- stance segmentation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.884651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 679d4e9c-c77c-4a52-a59b-70f4ce6a907f · outbound
This paper cites Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.868444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5f4a3463-dc5e-4c59-bd9b-10cebf5f8d14 · outbound
This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.852177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 46ef7c7d-27f0-4fcf-b15e-ca5c184e253c · outbound
This paper cites Deep Generative Models for 3D Medical Image Synthesis.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Deep Generative Models for 3D Medical Image Synthesis
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T12:16:48.074508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 852f5874-dae1-45e9-813b-498e4fa99324 · outbound
This paper cites Bessel beam optical coherence microscopy enables multiscale as- sessment of cerebrovascular network morphology and func- tion.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Bessel beam optical coherence microscopy enables multiscale as- sessment of cerebrovascular network morphology and func- tion
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.830921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c38083f6-e13d-404b-b322-b3f31b1a21cd · outbound
This paper cites Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.813170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation db7c5edb-e025-4fce-915f-89d89fa96bbe · outbound
This paper cites GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.542510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fbad9528-f4bf-4fc2-a1e2-fadcf0ce2f92 · outbound
This paper cites Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.793252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a0401a68-e485-4c63-8c10-b4411c33b648 · outbound
This paper cites UNETR: Transformers for 3D Med- ical Image Segmentation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation UNETR: Transformers for 3D Med- ical Image Segmentation
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.758986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 869a2890-d621-40d8-a29a-0f61b797b38b · outbound
This paper cites SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.741713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 52944590-2955-4932-9bd5-e80ce59d3497 · outbound
This paper cites VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.569160Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc4c6d57-ae68-482c-9d32-bd0759bf3cc3 · outbound
This paper cites tUbe net: a generalisable deep learning tool for 3D vessel segmen- tation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation tUbe net: a generalisable deep learning tool for 3D vessel segmen- tation
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.722792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e0df9d7a-b560-4c02-a82b-523abec59548 · outbound
This paper cites Artifacts and artifact removal in optical coherence tomographic angiogra- phy.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Artifacts and artifact removal in optical coherence tomographic angiogra- phy
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.706917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fd7ef490-2b4e-420a-845f-ec1f9fe81a64 · outbound
This paper cites nnU-Net: a self-configuring method for deep learning-based biomedical image segmen- tation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation nnU-Net: a self-configuring method for deep learning-based biomedical image segmen- tation
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.689733Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 288cb393-f6c1-4798-8343-09109dc19f4b · outbound
This paper cites Segment any- thing.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Segment any- thing
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.590953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dea3e81-951c-4cdf-8e37-1957d4cbd262 · outbound
This paper cites Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion Models
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.657278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6c3f866a-2778-42bf-b0fd-eab58c3144d3 · outbound
This paper cites Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.638666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 64b18459-c7ee-4645-a2fc-379ddd010de4 · outbound
This paper cites an unresolved cited work.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T12:16:48.619894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ed73582b-65dd-4faf-a363-bd8c338ff78d · outbound
This paper cites Blood vessel tail artifacts sup- pression in optical coherence tomography angiography.Neu- rophotonics, 9(2):021906–021906, 2022.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Blood vessel tail artifacts sup- pression in optical coherence tomography angiography.Neu- rophotonics, 9(2):021906–021906, 2022
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.600004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 032f7a3b-1e3e-4f66-8eb5-2fcfe9b211f5 · outbound
This paper cites an unresolved cited work.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T12:16:48.577958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ac7e7f17-978a-4c9b-91b6-19d92751992f · outbound
This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.624061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd3d44f4-0434-4d3a-a6bd-d6f6ad097a2f · outbound
This paper cites A ConvNet for the 2020s.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation A ConvNet for the 2020s
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.630290Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ed0cd66-321e-410d-82b6-07a824f0e0af · outbound
This paper cites Segment anything in medical images.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Segment anything in medical images
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.547935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d69e96ea-eff4-452a-a91a-052632417f1b · outbound
This paper cites SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.530558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3453fbe7-e845-47a7-af93-38c5fe24064d · outbound
This paper cites Deep learning-based cerebral aneurysm segmentation and morphological analy- sis with three-dimensional rotational angiography.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Deep learning-based cerebral aneurysm segmentation and morphological analy- sis with three-dimensional rotational angiography
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.507949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f3efbf5b-d448-47ec-ba06-979e4ea541e7 · outbound
This paper cites An image synthesizer.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation An image synthesizer
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.488974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0a6b5e73-fd43-4498-86dc-6d59f9c318e0 · outbound
This paper cites Automated lung vessel segmentation reveals blood vessel volume redistribu- tion in viral pneumonia.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Automated lung vessel segmentation reveals blood vessel volume redistribu- tion in viral pneumonia
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.470345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d056e809-7e0f-40db-a3ab-62d6b566ae71 · outbound
This paper cites A dataset of rodent cerebrovasculature from in vivo multiphoton fluores- cence microscopy imaging.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation A dataset of rodent cerebrovasculature from in vivo multiphoton fluores- cence microscopy imaging
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.451845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fa8f44a6-82e8-4686-9349-05fd5ad10b34 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation SAM 2: Segment Anything in Images and Videos
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.665726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48f4ed2e-3a1f-4e8a-be4e-80a64e29304d · outbound
This paper cites MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.431709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e2fd122e-5acc-47cc-96c0-30abdb7a7023 · outbound
This paper cites clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.412708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9f34dfd1-deaa-40ed-8982-4bb72e9c065b · outbound
This paper cites 3D image reconstruc- tion for comparison of algorithm database: A patient spe- cific anatomical and medical image database.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation 3D image reconstruc- tion for comparison of algorithm database: A patient spe- cific anatomical and medical image database
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.391615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5a9dca94-e550-48d0-b154-c0057af8cf6b · outbound
This paper cites Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Rapid and fully automated blood vasculature analysis in 3D light-sheet image volumes of different organs
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.368692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 39e61d3f-3c45-4efe-bc18-812e5558878a · outbound
This paper cites DeepVesselNet: Ves- sel Segmentation, Centerline Prediction, and Bifurcation De- tection in 3-D Angiographic V olumes.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation DeepVesselNet: Ves- sel Segmentation, Centerline Prediction, and Bifurcation De- tection in 3-D Angiographic V olumes
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.349762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2629447a-697f-4b0f-a90f-0de25d3b569d · outbound
This paper cites Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.329704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9c06dc94-2414-400f-ba58-85f3359e5b89 · outbound
This paper cites Machine learning analysis of whole mouse brain vasculature.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Machine learning analysis of whole mouse brain vasculature
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.309399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 718598f9-6d42-4a0f-b92c-02f4d099ada8 · outbound
This paper cites Hierarchical imaging and computational analysis of three-dimensional vascular network architecture in the entire postnatal and adult mouse brain.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Hierarchical imaging and computational analysis of three-dimensional vascular network architecture in the entire postnatal and adult mouse brain
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.286975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d1ca8bd0-ff8a-46f0-9f63-27e588bbfaff · outbound
This paper cites Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Near-lifespan longitudinal tracking of brain microvascular morphology, topology, and flow in male mice
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.265062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e108dcc6-1ce0-433d-bc32-57f02a2b8c8b · outbound
This paper cites TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T12:16:47.946481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1213c381-09eb-4ff5-b639-30dd618c6419 · outbound
This paper cites SAM-OCTA: A Fine-Tuning Strategy for Apply- ing Foundation Model OCTA Image Segmentation Tasks.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation SAM-OCTA: A Fine-Tuning Strategy for Apply- ing Foundation Model OCTA Image Segmentation Tasks
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.245725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 42579234-ae91-4a59-8389-29a058c5d924 · outbound
This paper cites SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.733857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56907564-751e-4cfe-9d4e-0ec317bd054e · outbound
This paper cites Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.226880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 72c6ebaf-9882-488b-ba11-003f0c331336 · outbound
This paper cites Link Prediction for Flow-Driven Spatial Networks.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Link Prediction for Flow-Driven Spatial Networks
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.209238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5c459460-938f-4c18-897d-c149c66c0e50 · outbound
This paper cites Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.749414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 941e0be1-ea18-4a32-bd90-9c692001c0f1 · outbound
This paper cites Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical.Math- ematical Problems in Engineering, 2020(1):8858344, 2020.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Main Coronary Vessel Segmentation Using Deep Learning in Smart Medical.Math- ematical Problems in Engineering, 2020(1):8858344, 2020
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.189052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a8ebd3d2-b276-44fe-831f-ac4c14c17105 · outbound
This paper cites Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imaging
Reference 58
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T12:16:47.882322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5667a9c3-6a1f-4d12-9760-6bd7259cc112 · outbound
This paper cites The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.766194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a6baf9a-9b64-4e68-8156-75da8e2cc46c · outbound
This paper cites Visibility of microvessels in Optical Coherence Tomography angiography depends on angular orientation.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Visibility of microvessels in Optical Coherence Tomography angiography depends on angular orientation
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.168884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0c4b5a14-2613-403e-8a26-610975e943c3 · outbound
This paper cites Medical SAM 2: Seg- ment medical images as video via Segment Anything Model.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Medical SAM 2: Seg- ment medical images as video via Segment Anything Model
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.150440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5e34baa4-fc26-468b-b79c-a77f20adec75 · outbound
This paper cites Medical SAM 2: Segment medical images as video via Segment Anything Model 2.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Medical SAM 2: Segment medical images as video via Segment Anything Model 2
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:16:47.781921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ba2ff1e-dcc9-4f2f-ab38-83d79afeb737 · outbound
This paper cites Dr-SAM: An End-to-End Framework for Vascular Seg- mentation Diameter Estimation and Anomaly Detection on Angiography Images.
vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation Dr-SAM: An End-to-End Framework for Vascular Seg- mentation Diameter Estimation and Anomaly Detection on Angiography Images
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:16:48.129795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation b0ce4955-fbf7-441b-b72c-74ec3bc805de · inbound
COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation cites this paper.
COMMA: Coordinate-aware Modulated Mamba Network for 3D Dispersed Vessel Segmentation vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:47:22.357507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation fb8a2e93-d1ce-4718-96b5-25284ff8316b · inbound
VesselSDF: Distance Field Priors for Vascular Network Reconstruction cites this paper.
VesselSDF: Distance Field Priors for Vascular Network Reconstruction vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:42:35.509678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 745197cd-8b23-48d3-a9d1-78842268cc86 · inbound
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography cites this paper.
CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation
Reference 107
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:06:02.443319Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.