Paper Citation Record · LEDGER

Diffusion-Based Quality Control of Medical Image Segmentations across Organs

As of 9 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2511.09588.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.09588 v3

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:42:50.540610Z

measured 45 of 45 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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Outbound references

Observation c325364b-a9e1-4aab-8b3e-b50b195f2709 · outbound

This paper cites A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises,

Reference 1

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Observation 84521696-f82a-457f-8f0c-a67809d28313 · outbound

This paper cites Deep learning techniques for automatic mri cardiac multi-structures segmen- tation and diagnosis: Is the problem solved?,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Deep learning techniques for automatic mri cardiac multi-structures segmen- tation and diagnosis: Is the problem solved?,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.421378Z

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Observation 95a724e0-8aae-4441-81dc-253ffa7c2719 · outbound

This paper cites Automated quality control in image segmentation: application to the UK Biobank cardio- vascular magnetic resonance imaging study,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Automated quality control in image segmentation: application to the UK Biobank cardio- vascular magnetic resonance imaging study,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.424141Z

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Observation bc26696e-23fd-4f9c-aee3-f298feeb1bd8 · outbound

This paper cites Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain mri datasets,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain mri datasets,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.427213Z

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Observation e6125706-0a41-489c-89b0-3a0a077734bd · outbound

This paper cites Evaluating segmentation error without ground truth,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Evaluating segmentation error without ground truth,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.430181Z

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Observation eab86e81-d21a-4f4d-bc2c-ce3bbc22f1c6 · outbound

This paper cites Reverse classification accuracy: predicting segmentation performance in the absence of ground truth,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Reverse classification accuracy: predicting segmentation performance in the absence of ground truth,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.433056Z

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Observation f9f5b1d7-9b61-43fd-b895-0f87ee132551 · outbound

This paper cites M3D-NCA: Robust 3D Segmen- tation with Built-In Quality Control,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs M3D-NCA: Robust 3D Segmen- tation with Built-In Quality Control,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.436187Z

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Observation 192e82e7-674c-48cf-a8b8-ac92e24c6ff4 · outbound

This paper cites QCRe- sUNet: Joint subject-level and voxel-level prediction of segmentation quality,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs QCRe- sUNet: Joint subject-level and voxel-level prediction of segmentation quality,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.438853Z

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Observation 24739fd6-51c0-48f6-bbcc-27a0ae2ab2d9 · outbound

This paper cites A novel quality control algorithm for medical image segmentation based on fuzzy uncertainty,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs A novel quality control algorithm for medical image segmentation based on fuzzy uncertainty,

Reference 9

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Observation 6490e95f-3a91-433b-b9bc-53dd73585798 · outbound

This paper cites Real-time prediction of segmentation quality,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Real-time prediction of segmentation quality,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.444391Z

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Observation e4d0e3ed-8fb9-4dc1-ae66-79d67444ff0a · outbound

This paper cites Unsupervised quality control of image segmentation based on Bayesian learning,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Unsupervised quality control of image segmentation based on Bayesian learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.447136Z

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Observation 41a90586-c8eb-4d77-a4f3-1980af0147e0 · outbound

This paper cites Medical image segmentation automatic quality control: A multi-dimensional approach,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Medical image segmentation automatic quality control: A multi-dimensional approach,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.449782Z

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Observation c9f98c68-ece2-4c0e-b209-d8072f629bfc · outbound

This paper cites Efficient model monitoring for quality control in cardiac image segmentation,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Efficient model monitoring for quality control in cardiac image segmentation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.452539Z

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Observation 29c1fa7d-2e68-4ba1-bf27-1396bae72507 · outbound

This paper cites SegQC: a segmentation network-based framework for multi-metric seg- mentation quality control and segmentation error detection in volumetric medical images,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs SegQC: a segmentation network-based framework for multi-metric seg- mentation quality control and segmentation error detection in volumetric medical images,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.455418Z

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Observation 31be7e18-c303-439f-9e9a-ed35b5ab2727 · outbound

This paper cites Deep generative model-based quality control for cardiac MRI segmentation,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Deep generative model-based quality control for cardiac MRI segmentation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.458273Z

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Observation 0f5ad092-cb08-4fbb-a00e-7925f32fa98e · outbound

This paper cites An alarm system for segmentation algorithm based on shape model,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs An alarm system for segmentation algorithm based on shape model,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.460868Z

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Observation 550df701-e419-4e02-9d8b-d7fa440f4ad8 · outbound

This paper cites Segment anything in medical images,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Segment anything in medical images,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.463548Z

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Observation 1045ab6d-80d4-4c68-bfc3-afb6522591ff · outbound

This paper cites nnu-net: Self-adapting framework for deep learning-based bioedical image segmentation,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs nnu-net: Self-adapting framework for deep learning-based bioedical image segmentation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.466161Z

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Observation 557492c3-f589-4426-9dc7-63f5297a40b2 · outbound

This paper cites Brain imaging generation with latent diffusion models,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Brain imaging generation with latent diffusion models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.468735Z

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Observation a9c6e480-1c51-4715-b1f1-b5b142479729 · outbound

This paper cites Realistic morphology-preserving generative modelling of the brain,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Realistic morphology-preserving generative modelling of the brain,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.471465Z

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Observation 3a9b0e9d-8e00-40db-b81d-31fe3be26b9f · outbound

This paper cites Mask, stitch, and re-sample: Enhancing robustness and generalizability in anomaly detection through automatic diffusion models,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Mask, stitch, and re-sample: Enhancing robustness and generalizability in anomaly detection through automatic diffusion models,

Reference 21

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Observation c7e2ebc3-3015-47e3-b49a-9e02b60fabb4 · outbound

This paper cites Generating multi-pathological and multi-modal images and labels for brain MRI,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Generating multi-pathological and multi-modal images and labels for brain MRI,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.476977Z

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Observation 6cada01c-8ea2-4861-ae67-ed25566d217d · outbound

This paper cites TopoDiffusionNet: A Topology-aware Diffusion Model.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs TopoDiffusionNet: A Topology-aware Diffusion Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.479625Z

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Observation a657d5a7-430e-4328-9497-f0824ac533c1 · outbound

This paper cites Variational inference with normalizing flows,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Variational inference with normalizing flows,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.482666Z

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Observation e1ce7213-138d-4fd9-95ba-2605cb8a4569 · outbound

This paper cites Generative adversarial nets,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Generative adversarial nets,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.485393Z

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Observation fa3e9899-cb04-47a2-8e63-6e2178135a70 · outbound

This paper cites Denoising diffusion probabilistic models,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Denoising diffusion probabilistic models,

Reference 26

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Observation ed4037b7-1407-4495-a29c-e09d8e26b21e · outbound

This paper cites Denoising Diffusion Implicit Models.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Denoising Diffusion Implicit Models

Reference 27

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Observation 5780ef34-576a-4457-9252-f27771d833ed · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs High- resolution image synthesis with latent diffusion models,

Reference 28

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Observation 7a96f213-da0f-4c48-b06a-25518b8eac5a · outbound

This paper cites Universeg: Universal medical image segmentation,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Universeg: Universal medical image segmentation,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.496681Z

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Observation 202a39d3-312d-4b5d-8c7c-efff1458290f · outbound

This paper cites Scribbleprompt: fast and flexible interactive segmentation for any biomedical image,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Scribbleprompt: fast and flexible interactive segmentation for any biomedical image,

Reference 30

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Observation b93eb04c-c5ba-4507-a63b-44371054130e · outbound

This paper cites nnu-net revisited: A call for rigorous validation in 3d medical image segmentation,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs nnu-net revisited: A call for rigorous validation in 3d medical image segmentation,

Reference 31

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Observation 0bd8bf19-82fc-4db4-971e-9f2bd90d1c8b · outbound

This paper cites Low-dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Low-dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.504718Z

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Observation 0c251f4d-3434-4bca-b6af-ee99ac6affc9 · outbound

This paper cites Hierarchical patch vae-gan: Generating diverse videos from a single sample,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Hierarchical patch vae-gan: Generating diverse videos from a single sample,

Reference 33

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Observation 5e08828d-5145-465a-a48b-29051b9e68c2 · outbound

This paper cites UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs UniMed-CLIP: Towards a Unified Image-Text Pretraining Paradigm for Diverse Medical Imaging Modalities

Reference 34

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Observation 4d13b87d-031c-4abb-979d-e7a3a83087fa · outbound

This paper cites Crossvit: Cross-attention multi- scale vision transformer for image classification,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Crossvit: Cross-attention multi- scale vision transformer for image classification,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.512895Z

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Observation 0f727276-1bac-46c7-a159-f78c33ba6078 · outbound

This paper cites Attention Beats Concatenation for Conditioning Neural Fields.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Attention Beats Concatenation for Conditioning Neural Fields

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.515597Z

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Observation cdacd992-2b7d-483d-b683-5238c71ba175 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs U-net: Convolutional networks for biomedical image segmentation,

Reference 37

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This paper cites The medical segmentation decathlon,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs The medical segmentation decathlon,

Reference 38

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This paper cites Heller, F.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Heller, F

Reference 39

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This paper cites CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.526672Z

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Observation a91325d2-49c6-458c-9254-0b133361311d · outbound

This paper cites Prostatex challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Prostatex challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.529254Z

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Observation a3382243-1fe5-460c-90d6-eba12d15fbc6 · outbound

This paper cites Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.531846Z

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Observation cd83e65a-04e5-4440-81f4-5c9c53c09c9e · outbound

This paper cites Advanced normalization tools (ants),.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Advanced normalization tools (ants),

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.534733Z

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Observation 2727e00e-eab0-4a1a-81a7-cb2ba6c146e1 · outbound

This paper cites Visualizing data using t-sne,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs Visualizing data using t-sne,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.537654Z

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Observation 56d002ef-c07b-4190-a492-85f9c03237d0 · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework,.

Diffusion-Based Quality Control of Medical Image Segmentations across Organs beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T22:42:50.540610Z

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Pith citing papers

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