Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T13:53:47.509421Z
Paper Citation Record · LEDGER
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room
As of 22 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2501.15994.
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 2026-08-21T06:32:19.484+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
49 of 49 outbound references displayed
- verified exact20
- verified fuzzy4
- unresolved19
- parse uncertain0
- malformed identifier5
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation df19f5cf-2d69-4999-b9ee-7b4380e9e2bb · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.859957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f6390900-4d4b-48f1-b800-281fac060046 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 2
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-10T13:53:47.850202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0424f59-3708-428f-8ff7-76748e678ff0 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T13:53:48.388271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8518b4e4-33e8-45e5-8925-9a9d5b76773c · outbound
This paper cites Review of Intraoperative Adjuncts for Maximal Safe Resection of Gliomas and Its Impact on Outcomes.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Review of Intraoperative Adjuncts for Maximal Safe Resection of Gliomas and Its Impact on Outcomes
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T13:53:48.379821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 90e1a800-a06f-4643-a833-fddf252afdc5 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 5
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.829891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 524f3fca-be14-45c6-926b-84ed9d03e190 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.368149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c340d18f-acbc-4fa9-b1cc-b48fd1239c0e · outbound
This paper cites Intraoperative Ultrasound Technology in Neuro-Oncology Practice-Current Role and Future Applications.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Intraoperative Ultrasound Technology in Neuro-Oncology Practice-Current Role and Future Applications
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.814140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f108d880-31d8-428f-83f0-1330c2acb098 · outbound
This paper cites Current Limitations of Intra- operative Ultrasound in Brain Tumor Surgery.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Current Limitations of Intra- operative Ultrasound in Brain Tumor Surgery
Reference 8
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-10T13:53:48.297604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3cc36976-17b9-4c6b-9dd2-bcdfc7bdd908 · outbound
This paper cites Intraoperative ultrasound in brain tumor surgery: A review and implementation guide.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Intraoperative ultrasound in brain tumor surgery: A review and implementation guide
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.803715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eb7b8f98-5f2a-4ffe-aa1e-34089b333144 · outbound
This paper cites Ultrasound-guided operations in unselected high-grade gliomas—overall results, impact of image quality and patient selection.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Ultrasound-guided operations in unselected high-grade gliomas—overall results, impact of image quality and patient selection
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.793218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b86524ac-4b6e-452f-9417-0166bf0cc4c3 · outbound
This paper cites Non-navigated 2D intraoperative ultra- sound: An unsophisticated surgical tool to achieve high standards of care in glioma surgery.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Non-navigated 2D intraoperative ultra- sound: An unsophisticated surgical tool to achieve high standards of care in glioma surgery
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.784253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 21c1cbf8-16db-4ea3-b010-b6bf97f8cce3 · outbound
This paper cites Navigated ultrasound-based image guidance during resection of gliomas: practical utility in intraoperative decision-making and outcomes.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Navigated ultrasound-based image guidance during resection of gliomas: practical utility in intraoperative decision-making and outcomes
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.389600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11ffc6e4-36d1-4f2e-8623-0183a9ab3dc8 · outbound
This paper cites Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.768834Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 97844d19-75bd-4bdb-a7ce-e3c0629780cc · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T13:53:48.369904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9884b74f-1d2a-4827-b06e-4baf9e4bcce7 · outbound
This paper cites Deep learning-based object detection algorithms in medical imaging: Systematic review.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Deep learning-based object detection algorithms in medical imaging: Systematic review
Reference 15
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-10T13:53:47.399399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dbe12cd-4a78-4e4c-b6a0-cf9787d74b7c · outbound
This paper cites A comprehensive review of object detection with deep learning.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room A comprehensive review of object detection with deep learning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.402899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2edeb7a6-ffc9-40d6-876e-5a9a983a92c2 · outbound
This paper cites You Only Look Once: Unified, Real-Time Ob- ject Detection.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room You Only Look Once: Unified, Real-Time Ob- ject Detection
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.406034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faa3025d-fbda-47e4-9925-aa1606aba343 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 18
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-10T13:53:48.359780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 99fb3e40-2d88-434b-900f-b56e87eecb80 · outbound
This paper cites Glioma Segmentation Using Ensem- ble of 2D/3D U-Nets and Survival Prediction Using Multiple Features Fusion.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Glioma Segmentation Using Ensem- ble of 2D/3D U-Nets and Survival Prediction Using Multiple Features Fusion
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.747665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ce28e692-e202-42fc-a5f9-dfead7118740 · outbound
This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.416159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cb90e6d-d73d-4b29-a0ae-436b18efdc93 · outbound
This paper cites The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.419706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca1b61e2-8669-479a-8864-d706a707dfb2 · outbound
This paper cites Brain tumor classification on intraoperative contrast- enhanced ultrasound.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Brain tumor classification on intraoperative contrast- enhanced ultrasound
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.718988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ff82e777-a0b4-4f67-9f12-e220cd00f8f4 · outbound
This paper cites Patient-specific model-based segmentation of brain tumors in 3D intraoperative ultrasound images.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Patient-specific model-based segmentation of brain tumors in 3D intraoperative ultrasound images
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.708580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dc3abfa2-af9d-4b62-9715-6861e2b1bf3f · outbound
This paper cites Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery
Reference 24
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.698363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 39e582e7-8690-4115-8d29-f971465fd0ee · outbound
This paper cites REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.431513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dd14e18-6319-4e2c-87c5-5237f4a103d4 · outbound
This paper cites Online database of clinical MR and ultrasound images of brain tumors.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Online database of clinical MR and ultrasound images of brain tumors
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.434395Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ad5a092-fc1b-4e8e-b130-4a7194775fe8 · outbound
This paper cites Automatic segmentation of brain tumor in intraoperative ultrasound images using 3D U-Net.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Automatic segmentation of brain tumor in intraoperative ultrasound images using 3D U-Net
Reference 27
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.674898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ef94b03d-c880-4920-b1ef-5521a7d04ab2 · outbound
This paper cites Multiclass seg- mentation of brain intraoperative ultrasound images with limited data.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Multiclass seg- mentation of brain intraoperative ultrasound images with limited data
Reference 28
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.664274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 284d363a-e20f-413b-9fbd-b3d7db1a181f · outbound
This paper cites Seg- mentation of brain tumour in 3D Intraoperative Ultrasound imaging.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Seg- mentation of brain tumour in 3D Intraoperative Ultrasound imaging
Reference 29
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.654005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation de7e8cd7-67f5-490f-a70a-740582c813f7 · outbound
This paper cites Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Automatic brain tumor segmentation in 2D intra-operative ultrasound images using magnetic resonance imaging tumor annotations
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T13:53:47.642768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 35dfc376-f59e-484c-a2f4-77afc79541af · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.450478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57bddc9a-2210-4292-a537-5e4c69463eac · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.453899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c7d7371-abf2-4e99-a440-e89a73da7a7d · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 33
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.840103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b8596036-f08c-423c-9a09-675e95328d9c · outbound
This paper cites nnU-Net: A self-configuring method for deep learning-based biomedical image segmentation.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room nnU-Net: A self-configuring method for deep learning-based biomedical image segmentation
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T13:53:48.348602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b5f7c964-8788-42fc-9072-629db3b4dda5 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.460364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f5ae32a-1f2a-4ab4-bf7c-3b1965bd31e1 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 36
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.609449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ac5aa524-5d10-467d-8a4c-a5ba5992d041 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 37
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.598806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8972cb08-1293-4a31-8a2c-610a91a9ccfb · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 38
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-10T13:53:47.589034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 179d0fe9-fc02-4f3a-949d-efca41af1ff8 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.579083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 96caf481-0668-4cc0-8a40-f5e59c4b08e8 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.479081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 369a158f-1971-4b5c-86b4-5c0ad4df87c1 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 41
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-10T13:53:48.026543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d665a379-6c01-4401-bc21-8b52b7647050 · outbound
This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room YOLOv11: An Overview of the Key Architectural Enhancements
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.485864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7330e173-61d0-4258-b6b8-714e0bb36094 · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T13:53:48.338411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e074632a-d1e8-4fef-b359-c5fe3295c757 · outbound
This paper cites Microsoft COCO: Common Objects in Context.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Microsoft COCO: Common Objects in Context
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.503514Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6edcb99c-bb55-46ae-b16d-6d08f1eea742 · outbound
This paper cites Ultralytics YOLO.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Ultralytics YOLO
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T13:53:48.328109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2f9ec1bf-7d7c-4515-8cda-e361c23c64bf · outbound
This paper cites Ultralytics YOLO11.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Ultralytics YOLO11
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T13:53:48.317841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f1d4d216-7d85-4c77-b910-4ba35def242b · outbound
This paper cites an unresolved cited work.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T13:53:48.308147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 98c551c0-ba93-42d2-95b1-543b17e96541 · outbound
This paper cites Challenges with Segmenting Intraoperative Ultrasound for Brain Tumours.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room Challenges with Segmenting Intraoperative Ultrasound for Brain Tumours
Reference 49
- Resolution
- verified exact
- doi, observed 2026-08-10T13:53:47.540411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 83c46bd8-1fc4-45fd-ba0d-5e42c3795073 · outbound
This paper cites YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series.
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room YOLO advances to its genesis: a decadal and comprehensive review of the You Only Look Once (YOLO) series
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:53:47.493104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.