Paper Citation Record · LEDGER

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2411.17260.

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

pith.paper-citation-record.v1
2411.17260 v1

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Outbound references

Observation b8f01f48-2bd2-4021-9914-e7c23ce92d00 · outbound

This paper cites Guidelines for assessment of bone mi- crostructure in rodents using micro-computed tomography.J Bone Miner Res., pages 1468–86, 2010.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Guidelines for assessment of bone mi- crostructure in rodents using micro-computed tomography.J Bone Miner Res., pages 1468–86, 2010

Reference 1

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This paper cites Iglovikov, Eugene Khved- chenya, Alex Parinov, Mikhail Druzhinin, and Alexandr A.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Iglovikov, Eugene Khved- chenya, Alex Parinov, Mikhail Druzhinin, and Alexandr A

Reference 2

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This paper cites Med3D: Transfer Learning for 3D Medical Image Analysis.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Med3D: Transfer Learning for 3D Medical Image Analysis

Reference 3

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MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Unresolved cited work

Reference 4

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This paper cites and et al.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans and et al

Reference 5

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This paper cites Imagenet: A large-scale hierarchical image database.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Imagenet: A large-scale hierarchical image database

Reference 6

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This paper cites Yolox: Exceeding yolo series in 2021, 2021.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Yolox: Exceeding yolo series in 2021, 2021

Reference 7

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This paper cites Deep residual learning for image recognition.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Deep residual learning for image recognition

Reference 8

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This paper cites Computerized transverse axial scan- ning (tomography): Part 1.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Computerized transverse axial scan- ning (tomography): Part 1

Reference 9

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This paper cites Differenti- ation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Differenti- ation of distal ureteral stones and pelvic phleboliths using a convolutional neural network

Reference 10

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This paper cites Adam: A method for stochastic gradient descent.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Adam: A method for stochastic gradient descent

Reference 11

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This paper cites Image formation by induced local inter- actions: Examples employing nuclear magnetic resonance.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Image formation by induced local inter- actions: Examples employing nuclear magnetic resonance

Reference 12

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This paper cites Gradient-based learning applied to document recog- nition.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Gradient-based learning applied to document recog- nition

Reference 13

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

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans A survey on deep learning in medical image analysis

Reference 14

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This paper cites Decoupled Weight Decay Regularization.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Decoupled Weight Decay Regularization

Reference 15

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This paper cites Open-source pipeline for automatic segmenta- tion and microstructural analysis of murine knee subchondral bone.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Open-source pipeline for automatic segmenta- tion and microstructural analysis of murine knee subchondral bone

Reference 16

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This paper cites Neonatal retroviral vector-mediated hepatic gene therapy reduces bone, joint, and cartilage disease in mu- copolysaccharidosis vii mice and dogs.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Neonatal retroviral vector-mediated hepatic gene therapy reduces bone, joint, and cartilage disease in mu- copolysaccharidosis vii mice and dogs

Reference 17

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This paper cites Neeteson, B.A.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Neeteson, B.A

Reference 18

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This paper cites Automated microct- based bone and articular cartilage analysis using iterative shape averaging and atlas-based registration.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Automated microct- based bone and articular cartilage analysis using iterative shape averaging and atlas-based registration

Reference 19

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MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans and et al

Reference 20

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This paper cites Torchio: A python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Torchio: A python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Reference 21

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This paper cites Micro-computed tomography reconstructions of tibiae of stem cell transplanted osteogenesis imperfecta mice.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Micro-computed tomography reconstructions of tibiae of stem cell transplanted osteogenesis imperfecta mice

Reference 22

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Reference 24

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This paper cites Micro-computed tomography assessment of bone structure in aging mice.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Micro-computed tomography assessment of bone structure in aging mice

Reference 25

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This paper cites Deep learning for automated skeletal bone age assessment in x-ray images.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Deep learning for automated skeletal bone age assessment in x-ray images

Reference 26

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This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 27

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MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Zenzes and P

Reference 28

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This paper cites Bridging 2d and 3d segmentation networks for computation- efficient volumetric medical image segmentation: An empir- ical study of 2.5d solutions.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans Bridging 2d and 3d segmentation networks for computation- efficient volumetric medical image segmentation: An empir- ical study of 2.5d solutions

Reference 29

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This paper cites If the paper is accepted then the code, models for all six teams, and all the 83 annotated 3D µCT images will be publicly shared.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans If the paper is accepted then the code, models for all six teams, and all the 83 annotated 3D µCT images will be publicly shared

Reference 30

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Reference 34

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MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans This allows us to isolate the bone structure, and remove background noise

Reference 35

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This paper cites In all cases where cropping is necessary, only background is removed.

MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans In all cases where cropping is necessary, only background is removed

Reference 36

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MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans This allows for a more efficient the training process, while not sacrificing any relevant struc- tural information

Reference 37

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MiceBoneChallenge: Micro-CT public dataset and six solutions for automatic growth plate detection in micro-CT mice bone scans This reduces the image size to the final input size for training, (224×224×64)

Reference 38

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