Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T03:38:50.849723Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.13826.
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 2026-08-02T03:38:50.849723Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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
46 of 46 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 777641ea-acf1-4c00-b99b-030ea922b05e · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning CA: A Cancer Journal for Clinicians , year=
Reference 1
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Observation f30bb5af-081f-4d66-a7c9-a24e4b39a282 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Annals of Surgical Oncology , year=
Reference 2
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Nature Reviews Cancer , year=
Reference 3
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning CVPR Workshops , year=
Reference 4
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Unresolved cited work
Reference 5
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning , year =
Reference 6
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis , volume =
Reference 7
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning and others , year =
Reference 8
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2023 , eprint=
Reference 9
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2021 , eprint=
Reference 10
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning and others , year =
Reference 11
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Regression Shrinkage and Selection Via the Lasso , volume =
Reference 12
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning U-Net: Convolutional Networks for Biomedical Image Segmentation
Reference 13
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning DS6, Deformation-Aware Semi-Supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data , volume=
Reference 14
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Observation 65509843-9135-4b7b-a585-004abd38cf96 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2022 , eprint=
Reference 15
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Observation bfffcbe9-a259-4e75-a365-1e2cfe613338 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2017 , eprint=
Reference 16
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Observation b9e6927d-6d67-4937-9bbb-714dbcc68ba7 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2021 , eprint=
Reference 17
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Observation 8ed898f4-4d44-484a-aab2-91ff89aaed60 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Radiomics Signature: A Potential Biomarker for the Prediction of Disease-Free Survival in Early-Stage (I or II) Non—Small Cell Lung Cancer , volume =
Reference 18
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Observation af750219-c0df-4fb8-8bd1-fc51210db07c · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2020 , eprint=
Reference 19
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Observation a64613b6-8f4a-46a7-bf60-b3bd605b9ff0 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2023 , eprint=
Reference 20
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Observation da61730a-2a50-4ef4-a9f3-894467bb3dab · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2022 , eprint=
Reference 21
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Observation bd78d17d-2b7f-47c4-9dd4-241333e86ab7 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Journal of Clinical Medicine , VOLUME =
Reference 22
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Observation 85cf261b-7a48-4c1a-ac31-aa3b4651311e · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Diagnostics , VOLUME =
Reference 23
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Observation eb8965ba-3a37-4b70-b339-529349b3a0b2 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2020 , eprint=
Reference 24
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Observation 3a6afa1e-a212-425f-9b43-d012fecb6ba6 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning CA: A Cancer Journal for Clinicians , volume=
Reference 25
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Observation 283436ce-2e82-42b2-9826-4c66007f0ace · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning and Janssen, Boris V
Reference 26
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Observation 13a8972a-62c6-4b30-a88a-3a03bca8a21d · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2023 , eprint=
Reference 27
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Observation 7ea970a1-44a3-4e99-a70e-4b86f85ea754 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2015 , eprint=
Reference 28
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Observation beec919e-7bbb-4eab-8ab5-60ec0785eb07 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning World Journal of Oncology , year=
Reference 29
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Observation 791ca893-0967-4a0d-bdf9-5a8f85bc9733 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Journal of the National Comprehensive Cancer Network , year=
Reference 30
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Observation 6ed6caeb-8c49-4dee-bae1-15b139f8c4df · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Nature Reviews Gastroenterology & Hepatology , year=
Reference 31
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Surgery , year=
Reference 32
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Observation 0322e113-14ac-4a60-95ae-ff841f21f359 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Pancreatology , year=
Reference 33
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Observation 89ceb4ac-bf62-4ac0-9ed4-2debed4134b2 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Annals of Surgical Oncology , year=
Reference 34
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Observation 01fe6dac-8875-44de-8c66-2e2ebb2451b3 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Medical Image Analysis , year =
Reference 35
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Observation c0804e2b-8de3-4d05-aebf-9c5c1317d004 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Front Public Health , year=
Reference 36
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Medical Physics , year=
Reference 37
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Observation 22d1e2cb-6f09-45d3-8431-1f99d5173ac9 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2024 , issn =
Reference 38
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Observation 76affe8f-54a1-4712-9e1b-e841fab771bb · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning , author=
Reference 39
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Observation 08ee21a5-bc5a-4738-ac89-a33db784786a · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning , author=
Reference 40
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Observation 4daf0d5f-c711-4004-87bb-22f788e1c0b1 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning , author=
Reference 41
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Observation dc4776cc-aa9b-47d0-a011-8df0c731f9b6 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning European Radiology , year =
Reference 42
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Observation eb4b4957-d0bc-45d3-899d-4927afda631f · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning European Radiology , year =
Reference 43
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Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning 2022 , eprint=
Reference 44
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Observation 2464c1b9-6b15-4087-8c77-d11eca291def · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning Deep multi-task learning structure for segmentation and classification of supratentorial brain tumors in MR images , journal =
Reference 45
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Observation 46c2acea-44f0-4ec0-bf5e-c2a25e189f48 · outbound
Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning International Conference on Learning Representations , year=
Reference 46
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.