Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:33.705887Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2507.01291.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:02:33.705887Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:30:54.810202Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:30:55.675842Z
68 of 68 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 207587e4-8253-4077-93b1-4802e8f08e9a · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Sauter, Ivan Nesic, Marko Obradovic, Shan Yang, Sebastian Manneck, Carl Glessgen, Johanna M
Reference 1
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Observation 4ceb4530-c925-4c44-885c-e31bca4a6b16 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Unresolved cited work
Reference 2
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Observation 82d378c2-f897-42b9-a700-af98ef84c4b6 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Erickson, Sheri Kirk, Yu Lee, Marston W
Reference 3
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PanTS: The Pancreatic Tumor Segmentation Dataset The panorama study protocol: Pancreatic cancer diagnosis-radiologists meet ai
Reference 4
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Observation fb889f0e-59af-4a54-9d07-3f7a7cdedc97 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset The medical segmentation decathlon
Reference 5
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Observation a54ca3b4-27dc-4244-8cf8-a95c3791cda6 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset The medical segmentation decathlon
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PanTS: The Pancreatic Tumor Segmentation Dataset Unresolved cited work
Reference 7
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Observation 28d722b2-f094-4232-8256-3651bd8a4a44 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Label Critic: Design Data Before Models
Reference 8
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Observation 7f3b643f-b85b-4c2e-8489-3e550190d563 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset RadGPT: Constructing 3D Image-Text Tumor Datasets
Reference 9
Source-reported events for the cited work
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Observation 51709eb6-247b-4946-a2c1-779de87e82e6 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset The Liver Tumor Segmentation Benchmark (LiTS)
Reference 10
Source-reported events for the cited work
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Observation 49600744-7cfa-4676-8870-74f4a5e772c0 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Large-scale pancreatic cancer detection via non-contrast ct and deep learning
Reference 11
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Observation fca01a4c-8cc9-416d-8247-3a90aa8005eb · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset MONAI: An open-source framework for deep learning in healthcare
Reference 12
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Observation ab139b28-06a2-48b6-870c-305b94891dcf · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset the advance of solid tumor research in china
Reference 13
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Observation ff69528b-47fb-43bf-9941-d854e64be752 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Embracing massive medical data
Reference 14
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Observation 430ed8eb-439f-4be5-905a-27d1d1921c2d · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Diagnosis and detection of pancreatic cancer
Reference 15
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Observation 577e1e21-c993-48ec-a82f-a6c4a9621c04 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Clinical clues of pre-symptomatic pancreatic ductal adenocarcinoma prior to its diagnosis: a retrospective review of ct scans and laboratory tests
Reference 16
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Observation f02fe8aa-dae0-4827-a8ad-e3fa5560de2a · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Rsna 2023 abdominal trauma detection
Reference 17
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Observation 779bfe8d-6648-4c17-b357-1891b6fc212b · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Dints: Differentiable neural network topology search for 3d medical image segmentation
Reference 18
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Observation 11592afc-7801-4647-ae3b-596743df70ce · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
Reference 19
Source-reported events for the cited work
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Observation 8774dc65-ec95-4da3-9c2a-9ab06cbebe47 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset An international challenge to use artificial intelligence to define the state-of-the-art in kidney and kidney tumor segmentation in ct imaging., 2020
Reference 20
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Observation a2cc470f-51f5-4794-9655-cadf2aa05e84 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Pancreatic steatosis on computed tomography is an early imaging feature of pre-diagnostic pancreatic cancer: A preliminary study in overweight patients
Reference 22
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Observation 891e4321-cc76-4531-8349-a151e9c65235 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Artificial intelligence in pancreatic cancer
Reference 23
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Observation 9c741788-a7e2-4651-8e62-a3bbf383074c · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset nnu-net: a self-configuring method for deep learning-based biomedical image segmentation
Reference 24
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Observation 1f7bf6d2-3b25-4f75-b22d-6b524216d4e7 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
Reference 25
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Observation 21e91a5e-86dc-43d0-bdb9-b0f14b94021d · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation
Reference 26
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Observation 9ac63c27-75c5-47a7-9953-4d918c2a4e00 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Label-assemble: Leveraging multiple datasets with partial labels
Reference 27
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Observation 8f6526d8-c289-418a-9afe-65e29f3a148f · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Scaling Laws for Neural Language Models
Reference 28
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Observation 5a3d4089-d2b0-4699-b7e0-59fa22115acb · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Chaos challenge- combined (ct-mr) healthy abdominal organ segmentation
Reference 29
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Observation ad21ff3d-7d69-4bad-b435-cc39b5d8fc2b · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Scalable neural architecture search for 3d medical image segmentation
Reference 30
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Observation 8333bf95-2383-46f2-a8e8-d824c369a49f · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset A retrospective preliminary study of intrapancreatic late en- hancement as a noteworthy imaging finding in the early stages of pancreatic adenocarcinoma
Reference 31
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Observation cbdd2a07-b52e-4668-9101-61a841cfd94d · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Miccai multi-atlas labeling beyond the cranial vault–workshop and challenge
Reference 32
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Observation 131298c6-e750-43de-a4b5-287db8565f12 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Early detection and localization of pancreatic cancer by label-free tumor synthesis
Reference 33
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Observation 2f0d6dad-9e02-4ff6-a356-36203a49a60a · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking
Reference 34
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Observation cca5307d-9608-463b-b27e-06dd2f3cb159 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset How well do supervised models transfer to 3d image segmentation? In International Conference on Learning Representations, 2024
Reference 35
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Observation c88be7e4-b3d7-468a-87b3-40f508fda566 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Scalemai: Accelerating the development of trusted datasets and ai models
Reference 36
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Observation 56f26719-886d-4521-a3cb-01ebfffa5891 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Text-Driven Tumor Synthesis
Reference 37
Source-reported events for the cited work
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Observation 477c8b5a-fa73-4471-97c6-aaf8d1ac315f · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Clip-driven universal model for organ segmentation and tumor detection
Reference 38
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Observation 8a2777ee-ac59-4994-9053-bea82a034d25 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Universal and extensible language- vision models for organ segmentation and tumor detection from abdominal computed tomog- raphy
Reference 39
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Observation 7cce1be0-d9ca-42ef-bb1a-d8b624ec4ae2 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Reference 40
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Observation 1d365290-9c1e-42ba-a63b-6ae42a8ad401 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Word: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from ct image
Reference 41
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Observation 2bf038c2-7fd7-4316-a5bb-9ed01fb39a59 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?
Reference 42
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Observation d755b705-7cca-49c2-8669-f81bb4ff548e · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Abdomenct-1k: Is abdominal organ segmentation a solved problem
Reference 43
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Observation 4f31ecf7-ac7a-4dcf-9e8a-da932b56a030 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge
Reference 45
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Observation c0648f8c-04d3-4c80-9a34-19ae972a9e0f · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Pancreatic cancer: A review of clinical diagnosis, epidemiology, treatment and outcomes
Reference 46
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Observation 329b86d2-53a3-4e03-9267-08833312256b · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Moawad, Diana Fuentes, Ahmed Morshid, Ahmed M
Reference 47
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Observation d1f16277-7399-48c5-9c79-45542d00620e · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Radiomics-based machine-learning models can detect pancreatic cancer on prediagnostic computed tomography scans at a substantial lead time before clinical diagnosis
Reference 48
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Observation d586a423-16c8-4384-8caf-3758a3b5f349 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Abdomenatlas-8k: Annotating 8,000 abdominal ct volumes for multi-organ segmentation in three weeks
Reference 49
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Observation a9f3d67c-f84e-4438-9925-d7724d60a5ae · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Ct-org, a new dataset for multiple organ segmentation in computed tomography
Reference 50
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Observation 28b72b12-cac5-4350-995f-977f59a1481e · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation
Reference 51
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Observation 784d5998-6e11-4fa1-85b4-957a9de2528c · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Cancer statistics, 2024
Reference 52
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Observation 2e519521-2ac0-4563-8a27-48f96f7c008a · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Cancer statistics, 2025
Reference 53
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Observation 36ba38ec-5a81-4b60-bcff-cfd44c94d202 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Computerized tomography scan in pre-diagnostic pancreatic ductal adenocarcinoma: Stages of progression and potential benefits of early intervention: A retrospective study
Reference 54
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PanTS: The Pancreatic Tumor Segmentation Dataset Self-supervised pre-training of swin transformers for 3d medical image analysis
Reference 55
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PanTS: The Pancreatic Tumor Segmentation Dataset Efficient 3d representation learning for medical image analysis
Reference 56
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Observation a3d9004b-88e1-4412-9910-ae18c7052e20 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Abdominal or pelvic enhanced CT images within 10 days before surgery of 230 patients with stage II colorectal cancer (StageII-Colorectal-CT), 2022
Reference 57
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Observation 96b8d492-8d5e-4ab6-94ad-b55a9cbb1aad · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Ct abnormalities of the pancreas associated with the subsequent diagnosis of clinical stage i pancreatic ductal adenocarcinoma more than 1 year later: a case-control study
Reference 58
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PanTS: The Pancreatic Tumor Segmentation Dataset Multi-modal learning from unpaired images: Application to multi-organ segmentation in ct and mri
Reference 59
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Observation 7d8efc03-f28f-4fc8-95b4-31f9fc98c385 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Visualizing data using t-sne
Reference 60
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Observation 9fabd489-5b11-4399-87d0-b4c267968672 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Totalseg- mentator: robust segmentation of 104 anatomic structures in ct images
Reference 61
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Observation 6b9d64ed-8014-4896-9ad9-707d17535332 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset The felix project: Deep networks to detect pancreatic neoplasms
Reference 62
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PanTS: The Pancreatic Tumor Segmentation Dataset C2fnas: Coarse-to-fine neural architecture search for 3d medical image segmentation
Reference 63
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Observation 17565f3f-7fea-482b-b748-49c5b3b1270a · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Scaling vision transform- ers
Reference 64
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Observation 8328ff6e-536c-40c3-9b13-39da69051b17 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Challenges in diagnosis of pancreatic cancer
Reference 65
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Observation 013ebcb9-ead7-45f6-945d-2fb9934658a4 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Leveraging ai predicted and expert revised annotations in interactive segmentation: Continual tuning or full training? In IEEE International Symposium on Biomedical Imaging
Reference 66
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Observation e9f174df-3452-455e-abd3-f029bd764071 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Contin- ual learning for abdominal multi-organ and tumor segmentation
Reference 67
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PanTS: The Pancreatic Tumor Segmentation Dataset Pancreatic cancer: a review of risk factors, diagnosis, and treatment
Reference 68
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Observation 02dba9ec-fea7-4b61-ad5b-70628a66e48c · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Assembling existing labels from public datasets to diagnose novel diseases: Covid-19 in late 2019.NeurIPS Workshop on Medical Imaging meets NeurIPS, 2022
Reference 69
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Observation 8088d9a1-dd71-4943-ab5f-d63f64f80462 · outbound
PanTS: The Pancreatic Tumor Segmentation Dataset Unresolved cited work
Reference 2024
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Observation 9d352f20-ed82-4e7b-92a6-a2d5fbab5182 · inbound
Learning Segmentation from Radiology Reports PanTS: The Pancreatic Tumor Segmentation Dataset
Reference 21
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Observation 28d2eb2d-f2b1-4fb8-8e93-76148ec12308 · inbound
Learning Patient-Specific Disease Dynamics with Latent Flow Matching for Longitudinal Imaging Generation PanTS: The Pancreatic Tumor Segmentation Dataset
Reference 2019
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