Paper Citation Record · LEDGER

Intensity augmentation for domain transfer of whole breast segmentation in MRI

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:1909.02642.

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pith.paper-citation-record.v1
1909.02642 v1

Coverage vector

measured 39 of 39 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 9697fa17-c80e-4d3e-934d-010c7212b731 · outbound

This paper cites Estimating the global cancer incidence and mortality in 2018: Globocan sources and methods,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Estimating the global cancer incidence and mortality in 2018: Globocan sources and methods,

Reference 1

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Observation e24bbe91-f60e-4c26-9901-94603b5010e2 · outbound

This paper cites Prospective study of breast cancer incidence in women with a brca1 or brca2 mutation under surveillance with and without magnetic resonance imaging.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Prospective study of breast cancer incidence in women with a brca1 or brca2 mutation under surveillance with and without magnetic resonance imaging

Reference 2

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Observation 67fa2409-b076-4d4d-97f6-565f98592df9 · outbound

This paper cites Effectiveness of screening with annual magnetic resonance imaging and mammography: results of the initial screen from the ontario high risk breast screening program,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Effectiveness of screening with annual magnetic resonance imaging and mammography: results of the initial screen from the ontario high risk breast screening program,

Reference 3

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This paper cites Efﬁcacy of mri and mammography for breast- cancer screening in women with a familial or genetic predisposition,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Efﬁcacy of mri and mammography for breast- cancer screening in women with a familial or genetic predisposition,

Reference 4

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Observation 73ea4260-83e9-460e-8bd8-fd3a36a30bd1 · outbound

This paper cites Background parenchymal enhancement at breast mr imaging and breast cancer risk,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Background parenchymal enhancement at breast mr imaging and breast cancer risk,

Reference 5

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Observation 3d86c658-7616-4a9b-b34c-276680884c97 · outbound

This paper cites The associa- tion of background parenchymal enhancement at breast mri with breast cancer: A systematic review and meta-analysis,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI The associa- tion of background parenchymal enhancement at breast mri with breast cancer: A systematic review and meta-analysis,

Reference 6

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Observation e2b77fd0-f914-4a58-8953-d192980a66e8 · outbound

This paper cites an unresolved cited work.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Unresolved cited work

Reference 7

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This paper cites Mammographic density, mri background parenchymal enhancement and breast cancer risk,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Mammographic density, mri background parenchymal enhancement and breast cancer risk,

Reference 8

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This paper cites A survey on deep learning in medical image analysis,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI A survey on deep learning in medical image analysis,

Reference 9

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Observation 8db88736-b72e-43a7-bc08-344bd5ecc625 · outbound

This paper cites An investiga- tion of the effect of fat suppression and dimensionality on the accuracy of breast mri segmentation using u-nets,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI An investiga- tion of the effect of fat suppression and dimensionality on the accuracy of breast mri segmentation using u-nets,

Reference 10

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Observation 97d1fb9a-5929-40c0-b05c-d7670f0e8aaf · outbound

This paper cites Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U- Net,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U- Net,

Reference 11

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This paper cites Generative adversarial nets,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Generative adversarial nets,

Reference 12

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This paper cites A comprehensive survey on domain adaptation for visual applications,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI A comprehensive survey on domain adaptation for visual applications,

Reference 13

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This paper cites Transfer learning for domain adaptation in mri: Application in brain lesion segmentation,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Transfer learning for domain adaptation in mri: Application in brain lesion segmentation,

Reference 14

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Observation ffdb9f62-12aa-421f-963b-4adc64848c83 · outbound

This paper cites Convolutional neural networks for medical image analysis: Full training or ﬁne tuning?.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Convolutional neural networks for medical image analysis: Full training or ﬁne tuning?

Reference 15

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This paper cites Imagenet classiﬁcation with deep convolutional neural networks,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Imagenet classiﬁcation with deep convolutional neural networks,

Reference 16

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This paper cites Domain randomization for transferring deep neural networks from sim- ulation to the real world,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Domain randomization for transferring deep neural networks from sim- ulation to the real world,

Reference 17

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This paper cites Arbitrary style transfer in real-time with adaptive instance normalization,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Arbitrary style transfer in real-time with adaptive instance normalization,

Reference 18

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Intensity augmentation for domain transfer of whole breast segmentation in MRI Image style transfer using convolutional neural networks,

Reference 19

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This paper cites Style Augmentation: Data Augmentation via Style Randomization.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Style Augmentation: Data Augmentation via Style Randomization

Reference 20

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Intensity augmentation for domain transfer of whole breast segmentation in MRI Domain-adversarial training of neural networks,

Reference 21

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Intensity augmentation for domain transfer of whole breast segmentation in MRI Adversarial discrim- inative domain adaptation,

Reference 22

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This paper cites Domain-adversarial neural networks to address the appearance variability of histopathology images,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Domain-adversarial neural networks to address the appearance variability of histopathology images,

Reference 23

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This paper cites Differential data augmentation techniques for medical imaging classiﬁcation tasks,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Differential data augmentation techniques for medical imaging classiﬁcation tasks,

Reference 24

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Intensity augmentation for domain transfer of whole breast segmentation in MRI Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology

Reference 25

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This paper cites Detecting Cancer Metastases on Gigapixel Pathology Images.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Detecting Cancer Metastases on Gigapixel Pathology Images

Reference 26

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Intensity augmentation for domain transfer of whole breast segmentation in MRI Perceptual losses for real-time style transfer and super-resolution,

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Intensity augmentation for domain transfer of whole breast segmentation in MRI Texture networks: Feed-forward synthesis of textures and stylized images

Reference 28

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This paper cites Exploring the structure of a real-time, arbitrary neural artistic stylization network.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Exploring the structure of a real-time, arbitrary neural artistic stylization network

Reference 29

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Intensity augmentation for domain transfer of whole breast segmentation in MRI ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 30

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Intensity augmentation for domain transfer of whole breast segmentation in MRI U-net: Convolutional networks for biomedical image segmentation,

Reference 31

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Intensity augmentation for domain transfer of whole breast segmentation in MRI 3d u-net: learning dense volumetric segmentation from sparse anno- tation,

Reference 32

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Intensity augmentation for domain transfer of whole breast segmentation in MRI TensorFlow: Large-scale machine learning on heterogeneous systems,

Reference 33

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This paper cites Chollet et al.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Chollet et al

Reference 34

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Intensity augmentation for domain transfer of whole breast segmentation in MRI SciPy: Open source scientiﬁc tools for Python,

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This paper cites Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge,

Reference 36

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This paper cites Breast segmentation in mri using poisson surface reconstruction initialized with random forest edge detection,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Breast segmentation in mri using poisson surface reconstruction initialized with random forest edge detection,

Reference 37

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Intensity augmentation for domain transfer of whole breast segmentation in MRI User-guided 3d active contour segmentation of anatomical structures: signiﬁcantly improved efﬁciency and reliability,

Reference 38

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This paper cites Simultaneous truth and performance level estimation (staple): an algorithm for the validation of image segmentation,.

Intensity augmentation for domain transfer of whole breast segmentation in MRI Simultaneous truth and performance level estimation (staple): an algorithm for the validation of image segmentation,

Reference 39

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