SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation | Paper Citation Record

Observation f5ab4178-4dc7-4328-843f-e7342f00b9cd · outbound

This paper cites Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head ct using deep learning: an algorithm development and multicentre validation study,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head ct using deep learning: an algorithm development and multicentre validation study,

Reference 1

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Observation 9e0cd01d-0c05-426b-9399-7260f85d2c28 · outbound

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

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation U-net: Convolutional networks for biomedical image segmentation,

Reference 2

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This paper cites Optimized u-net for brain tumor segmenta- tion,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Optimized u-net for brain tumor segmenta- tion,

Reference 3

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This paper cites Intracerebral haemorrhage,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Intracerebral haemorrhage,

Reference 4

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This paper cites Swin-unet: Unet-like pure transformer for medical image segmenta- tion,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Swin-unet: Unet-like pure transformer for medical image segmenta- tion,

Reference 5

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This paper cites nnformer: In- terleaved transformer for volumetric segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation nnformer: In- terleaved transformer for volumetric segmentation,

Reference 6

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Observation c19ad03d-e687-4627-a2d8-618e0c7e5f8b · outbound

This paper cites Med-former: A transformer based archi- tecture for medical image classification,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Med-former: A transformer based archi- tecture for medical image classification,

Reference 7

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Observation ea46fea9-e650-4d22-aef7-683b0d4f5370 · outbound

This paper cites Hdc-net: Hierarchical decoupled convolution network for brain tumor segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Hdc-net: Hierarchical decoupled convolution network for brain tumor segmentation,

Reference 8

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This paper cites Dense-unet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Dense-unet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network,

Reference 9

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Observation 69496876-cba2-4adb-814d-a81530afd417 · outbound

This paper cites Self-supervised learning for medical image analysis using image context restoration,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Self-supervised learning for medical image analysis using image context restoration,

Reference 10

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Observation a40a038f-3ce6-4e38-b510-b9e6a29f416a · outbound

This paper cites Inter-slice context residual learning for 3d medical image segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Inter-slice context residual learning for 3d medical image segmentation,

Reference 11

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Observation 05839181-4b00-499e-a7b2-75fba84fa51a · outbound

This paper cites Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation,

Reference 12

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This paper cites Intra-and inter-pair consistency for semi-supervised gland segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Intra-and inter-pair consistency for semi-supervised gland segmentation,

Reference 13

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Observation f1dc6d16-a28b-4cef-bd45-52b83c4b0a3b · outbound

This paper cites Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency,

Reference 14

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This paper cites Mutual consistency learning for semi-supervised medical image segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Mutual consistency learning for semi-supervised medical image segmentation,

Reference 15

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This paper cites Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Diverse Cotraining Makes Strong Semi-Supervised Segmentor

Reference 16

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This paper cites Semi-supervised semantic segmentation under label noise via diverse learning groups,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Semi-supervised semantic segmentation under label noise via diverse learning groups,

Reference 17

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Observation 1f596bc3-e36e-4a14-b260-aedc56a7e9f8 · outbound

This paper cites Revisiting weak- to-strong consistency in semi-supervised semantic segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Revisiting weak- to-strong consistency in semi-supervised semantic segmentation,

Reference 18

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This paper cites Boostmis: Boosting medical image semi-supervised learning with adaptive pseudo labeling and informative active annotation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Boostmis: Boosting medical image semi-supervised learning with adaptive pseudo labeling and informative active annotation,

Reference 19

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This paper cites Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmenta- tion,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmenta- tion,

Reference 20

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This paper cites Pefat: Boosting semi-supervised medical image classification via pseudo-loss estimation and feature adversarial training,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Pefat: Boosting semi-supervised medical image classification via pseudo-loss estimation and feature adversarial training,

Reference 21

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This paper cites Compete to win: Enhancing pseudo labels for barely-supervised medical image segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Compete to win: Enhancing pseudo labels for barely-supervised medical image segmentation,

Reference 22

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This paper cites Uncertainty-guided semi- supervised (ugss) mean teacher framework for brain hemorrhage seg- mentation and volume quantification,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Uncertainty-guided semi- supervised (ugss) mean teacher framework for brain hemorrhage seg- mentation and volume quantification,

Reference 23

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This paper cites Label-efficient sequential model- based weakly supervised intracranial hemorrhage segmentation in low- 11 data non-contrast ct imaging,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Label-efficient sequential model- based weakly supervised intracranial hemorrhage segmentation in low- 11 data non-contrast ct imaging,

Reference 24

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This paper cites Cut-paste consistency learning for semi- supervised lesion segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Cut-paste consistency learning for semi- supervised lesion segmentation,

Reference 25

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This paper cites Weakly supervised intracranial hemorrhage segmentation with yolo and an uncertainty rectified segment anything model,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Weakly supervised intracranial hemorrhage segmentation with yolo and an uncertainty rectified segment anything model,

Reference 26

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This paper cites Bhsd: A 3d multi-class brain hemorrhage segmentation dataset,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Bhsd: A 3d multi-class brain hemorrhage segmentation dataset,

Reference 27

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This paper cites 3d slicer,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation 3d slicer,

Reference 28

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This paper cites A task-driven cerebral angiographic imaging based on ct perfusion,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation A task-driven cerebral angiographic imaging based on ct perfusion,

Reference 29

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This paper cites Individual comparisons by ranking methods,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Individual comparisons by ranking methods,

Reference 30

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SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Unresolved cited work

Reference 31

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This paper cites Measures of the amount of ecologic association between species,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Measures of the amount of ecologic association between species,

Reference 32

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This paper cites An efficient algorithm for calculating the exact hausdorff distance,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation An efficient algorithm for calculating the exact hausdorff distance,

Reference 33

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This paper cites Comparison and evaluation of methods for liver segmentation from ct datasets,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Comparison and evaluation of methods for liver segmentation from ct datasets,

Reference 34

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This paper cites Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 35

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This paper cites Sch ¨utze, C.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Sch ¨utze, C

Reference 36

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This paper cites The distribution of the flora in the alpine zone,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation The distribution of the flora in the alpine zone,

Reference 37

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This paper cites Consistency-guided differential decoding for enhancing semi- supervised medical image segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Consistency-guided differential decoding for enhancing semi- supervised medical image segmentation,

Reference 38

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This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 39

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This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 40

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This paper cites On the importance of initialization and momentum in deep learning,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation On the importance of initialization and momentum in deep learning,

Reference 41

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This paper cites Unsupervised domain adapta- tion based on source-guided discrepancy,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Unsupervised domain adapta- tion based on source-guided discrepancy,

Reference 42

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This paper cites Semi-supervised brain lesion segmentation with an adapted mean teacher model,.

SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation Semi-supervised brain lesion segmentation with an adapted mean teacher model,

Reference 43

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