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Paper Citation Record · LEDGER

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2412.03352.

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

pith.paper-citation-record.v1
2412.03352 v2

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Outbound references

Observation ca08843b-cda9-4a7a-b88b-377debeba924 · outbound

This paper cites Artifacts among Cone Beam Computed Tomography Images of Patients of Department of Oral Medicine and Radiology in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Artifacts among Cone Beam Computed Tomography Images of Patients of Department of Oral Medicine and Radiology in a Tertiary Care Centre: A Descriptive Cross-sectional Study

Reference 1

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This paper cites 2d object recognition: a comparative analysis of sift, surf and orb feature descriptors.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation 2d object recognition: a comparative analysis of sift, surf and orb feature descriptors

Reference 2

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This paper cites Deepconvolutionalneuralnetworksforbrainimage analysis on magnetic resonance imaging: a review.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Deepconvolutionalneuralnetworksforbrainimage analysis on magnetic resonance imaging: a review

Reference 3

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This paper cites Measuring image similarity: an overview of some useful applications.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Measuring image similarity: an overview of some useful applications

Reference 4

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Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Unresolved cited work

Reference 5

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This paper cites A review of medical image data augmentation techniques for deep learning applications.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation A review of medical image data augmentation techniques for deep learning applications

Reference 6

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Observation cbd5480a-3742-4bd1-9957-4be76c70ff3f · outbound

This paper cites Longitudinal image registration with temporally-dependent image similarity measure.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Longitudinal image registration with temporally-dependent image similarity measure

Reference 7

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This paper cites Areviewondelaunaytriangulationwithapplicationoncomputervision.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Areviewondelaunaytriangulationwithapplicationoncomputervision

Reference 8

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This paper cites Overcomemedicalimagedatascarcitybydataaugmentationtechniques:Areview,in:2022 International Conference on Microelectronics (ICM), pp.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Overcomemedicalimagedatascarcitybydataaugmentationtechniques:Areview,in:2022 International Conference on Microelectronics (ICM), pp

Reference 9

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Observation 6d54740f-680b-425d-8a8b-5e8114833c69 · outbound

This paper cites Data augmentation for medical imaging: A systematic literature review.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Data augmentation for medical imaging: A systematic literature review

Reference 10

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This paper cites Using dicommetadataforradiologicalimageseriescategorization:afeasibilitystudyonlargeclinicalbrainmridatasets.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Using dicommetadataforradiologicalimageseriescategorization:afeasibilitystudyonlargeclinicalbrainmridatasets

Reference 11

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This paper cites Two-stage unsupervised learning method for affine and deformable medical image registration, in: 2019 IEEE International Conference on Image Processing (ICIP), pp.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Two-stage unsupervised learning method for affine and deformable medical image registration, in: 2019 IEEE International Conference on Image Processing (ICIP), pp

Reference 12

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This paper cites The virtues of interpretable medical artificial intelligence.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation The virtues of interpretable medical artificial intelligence

Reference 13

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Observation 4a447808-b19c-4294-ae82-383eb26549c3 · outbound

This paper cites Review on self supervised learning in medical image analysis, in: 2023 IEEE 7th Conference on Information and Communication Technology (CICT), pp.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Review on self supervised learning in medical image analysis, in: 2023 IEEE 7th Conference on Information and Communication Technology (CICT), pp

Reference 14

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This paper cites Casper:Conventional ct database augmentation using deep learning based spectral ct images generation, in: 2020 15th IEEE International Conference on Signal Processing (ICSP), pp.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Casper:Conventional ct database augmentation using deep learning based spectral ct images generation, in: 2020 15th IEEE International Conference on Signal Processing (ICSP), pp

Reference 15

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This paper cites Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

Reference 16

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Observation 99d6b4c6-0f3a-4e2c-a1f0-37c339543ab8 · outbound

This paper cites Mixing data augmentation with preserving foreground regions in medical image segmentation, in: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Mixing data augmentation with preserving foreground regions in medical image segmentation, in: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), pp

Reference 17

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This paper cites Object recognition from local scale-invariant features, in: Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Object recognition from local scale-invariant features, in: Proceedings of the Seventh IEEE International Conference on Computer Vision, pp

Reference 18

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Observation 19175118-9426-4c8e-b010-b9ff7dd86a13 · outbound

This paper cites Distinctive image features from scale-invariant keypoints.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Distinctive image features from scale-invariant keypoints

Reference 19

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Observation d9cb816d-cc60-49dd-b28a-67ff464b6ce4 · outbound

This paper cites Computed tomography imaging artifacts in the head and neck region: Pitfalls and solutions.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Computed tomography imaging artifacts in the head and neck region: Pitfalls and solutions

Reference 20

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Observation 41390357-9694-4020-a5da-16d892ed7daa · outbound

This paper cites pydicom/pydicom: pydicom v2.4.4.https://doi.org/10.5281/zenodo.10385252.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation pydicom/pydicom: pydicom v2.4.4.https://doi.org/10.5281/zenodo.10385252

Reference 21

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This paper cites The multimodal brain tumor image segmentation benchmark (brats).

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation The multimodal brain tumor image segmentation benchmark (brats)

Reference 22

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Observation cf0d47f8-6eef-44dd-9560-4ab3cabecf59 · outbound

This paper cites A ct database for research, development and education: Concept and potential.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation A ct database for research, development and education: Concept and potential

Reference 23

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Observation 5a1f90fb-f46c-4266-b4d4-55a805e3762e · outbound

This paper cites Prospects of structural similarity index for medical image analysis.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Prospects of structural similarity index for medical image analysis

Reference 24

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This paper cites sciencedirect.com/science/article/pii/S2590005622000911, doi:https://doi.org/10.1016/j.array.2022.100258.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation sciencedirect.com/science/article/pii/S2590005622000911, doi:https://doi.org/10.1016/j.array.2022.100258

Reference 25

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Observation 342859ef-deea-47d0-be0a-1149bd997436 · outbound

This paper cites Applications of self-supervised learning to biomedical signals: A survey.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Applications of self-supervised learning to biomedical signals: A survey

Reference 26

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Observation 69b9fcdd-f46f-45ae-a9b2-c59d33edae52 · outbound

This paper cites Efficient unstructured mesh generation by means of delaunay triangulation and bowyer-watson algorithm.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Efficient unstructured mesh generation by means of delaunay triangulation and bowyer-watson algorithm

Reference 27

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Observation b23dc684-93f7-4c02-87c3-99f4f78ae3fb · outbound

This paper cites Explainable ai (xai): Explained, in: 2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), pp.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Explainable ai (xai): Explained, in: 2023 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), pp

Reference 28

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Observation 589d5634-6357-4164-a26b-eccfb6f49a86 · outbound

This paper cites Ct-org, a new dataset for multiple organ segmentation in computed tomography.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Ct-org, a new dataset for multiple organ segmentation in computed tomography

Reference 29

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Observation d9bae327-7f8e-47d4-bdcc-dd3ecc846309 · outbound

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Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Unresolved cited work

Reference 30

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Observation 5b341f6a-e3f8-44dd-b40b-f6039b61b5ba · outbound

This paper cites Orb: An efficient alternative to sift or surf, in: 2011 International Conference on Computer Vision, pp.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Orb: An efficient alternative to sift or surf, in: 2011 International Conference on Computer Vision, pp

Reference 31

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Observation 555b3435-73a3-4b09-b417-3e61dcf19862 · outbound

This paper cites Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods

Reference 32

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Observation 8749ab29-ef8c-4c26-aca2-5cba76be459b · outbound

This paper cites Differentiableimagedataaugmentationanditsapplications:Asurvey.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Differentiableimagedataaugmentationanditsapplications:Asurvey

Reference 33

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Observation fcb9f5b7-59af-4c39-b018-22cf8f91b328 · outbound

This paper cites Hsmix:Hardandsoftmixingdataaugmentationformedicalimagesegmentation.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Hsmix:Hardandsoftmixingdataaugmentationformedicalimagesegmentation

Reference 34

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This paper cites (Eds.), 2012.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation (Eds.), 2012

Reference 35

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Observation c13a2940-91bf-4872-b87f-7f4b32d54431 · outbound

This paper cites Explainable artificial intelligence (xai) in deep learning-based medical image analysis.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Explainable artificial intelligence (xai) in deep learning-based medical image analysis

Reference 36

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Observation f683915c-26cf-4829-975a-53f813acf3d8 · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python

Reference 37

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Observation 30f4b463-6e7c-41f7-b449-c65aa5fc801a · outbound

This paper cites Ethicsofcollectingandusinghealthcaredata.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Ethicsofcollectingandusinghealthcaredata

Reference 38

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This paper cites Xedgeconv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3d medical image segmentation, in: Bekkers, E., Wolterink, J.M., Aviles-Rivero, A.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Xedgeconv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3d medical image segmentation, in: Bekkers, E., Wolterink, J.M., Aviles-Rivero, A

Reference 39

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Observation 53db8e16-eb6d-4288-95be-dd88775e7499 · outbound

This paper cites SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks

Reference 40

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Observation b19ec6ed-77c7-45fb-84a4-77f8243b1060 · outbound

This paper cites Deep long-tailed learning: A survey.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Deep long-tailed learning: A survey

Reference 41

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Observation bfc84be4-d7c8-4b04-a491-e5c38221c5eb · outbound

This paper cites Affine image registration of arterial spin labeling mri using deep learning networks.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Affine image registration of arterial spin labeling mri using deep learning networks

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bbc32490-f147-4ac8-9c45-f500a711c887 · outbound

This paper cites Spineregnet:Spineregistrationnetworkforvolumetric mr and ct image by the joint estimation of an affine-elastic deformation field.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Spineregnet:Spineregistrationnetworkforvolumetric mr and ct image by the joint estimation of an affine-elastic deformation field

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aae32cae-b685-4db6-94ba-f90ac79afd6b · outbound

This paper cites an unresolved cited work.

Intuitive Axial Augmentation Using Polar-Sine-Based Piecewise Distortion for Medical Slice-Wise Segmentation Unresolved cited work

Reference 241

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Pith citing papers

No inbound Pith citation observations are available.