Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging | Paper Citation Record

Observation 1edc3fdf-c9ae-4e88-8934-4f7750b7105e · outbound

This paper cites Optimizing integrated imaging service delivery by tier in low-resource health systems,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Optimizing integrated imaging service delivery by tier in low-resource health systems,

Reference 1

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This paper cites Deep learning in medical imaging: general overview,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep learning in medical imaging: general overview,

Reference 2

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This paper cites A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A Convolutional-based Model for Early Prediction of Alzheimer's based on the Dementia Stage in the MRI Brain Images

Reference 3

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This paper cites Deep learning for medical image processing: Overview, challenges and the future,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep learning for medical image processing: Overview, challenges and the future,

Reference 4

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This paper cites Deep Learning Approach for Early Stage Lung Cancer Detection.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep Learning Approach for Early Stage Lung Cancer Detection

Reference 5

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This paper cites Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges,

Reference 6

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This paper cites A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A Transfer Learning Based Approach for Classification of COVID-19 and Pneumonia in CT Scan Imaging

Reference 7

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Observation aa1e965d-6f7f-450d-b0d1-fb305c06c062 · outbound

This paper cites Overview of deep learning in medical imaging,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Overview of deep learning in medical imaging,

Reference 8

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This paper cites Access to medical devices in low-income countries: Addressing sustainability challenges in medical device donations,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Access to medical devices in low-income countries: Addressing sustainability challenges in medical device donations,

Reference 9

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This paper cites A compara- tive study of x-ray based medical imaging devices,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A compara- tive study of x-ray based medical imaging devices,

Reference 10

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Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Unresolved cited work

Reference 11

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This paper cites Noise issues prevailing in various types of medical images,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Noise issues prevailing in various types of medical images,

Reference 12

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This paper cites Review of medical imaging with emphasis on x-ray de- tectors,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Review of medical imaging with emphasis on x-ray de- tectors,

Reference 13

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This paper cites Medical x-ray imaging, current status and some future challenges,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Medical x-ray imaging, current status and some future challenges,

Reference 14

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This paper cites Digital radiography image denoising using a generative adversarial network,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Digital radiography image denoising using a generative adversarial network,

Reference 15

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This paper cites X-ray-based medical imaging and reso- lution,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging X-ray-based medical imaging and reso- lution,

Reference 16

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Observation d4c03feb-a7f8-4820-88ce-c52f32389e42 · outbound

This paper cites Noise issues prevailing in various types of medical images,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Noise issues prevailing in various types of medical images,

Reference 17

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This paper cites A method for modeling noise in medical images,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A method for modeling noise in medical images,

Reference 18

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This paper cites Denoising of medical images corrupted by poisson noise,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Denoising of medical images corrupted by poisson noise,

Reference 19

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This paper cites Optimizing medical image contrast, detail and noise in the digital era,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Optimizing medical image contrast, detail and noise in the digital era,

Reference 20

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This paper cites Deep learning for computer vision: A brief review,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep learning for computer vision: A brief review,

Reference 21

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This paper cites A review on action recognition for accident detection in smart city transportation systems,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A review on action recognition for accident detection in smart city transportation systems,

Reference 22

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This paper cites Deep learning in computer vision: A critical review of emerging techniques and application scenar- ios,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep learning in computer vision: A critical review of emerging techniques and application scenar- ios,

Reference 23

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This paper cites Deep learning for biological image classification,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep learning for biological image classification,

Reference 24

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This paper cites Smart city transportation: Deep learning ensemble approach for traffic accident detection,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Smart city transportation: Deep learning ensemble approach for traffic accident detection,

Reference 25

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This paper cites Reduced-gate convolutional lstm architecture for next-frame video prediction using predictive cod- ing,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Reduced-gate convolutional lstm architecture for next-frame video prediction using predictive cod- ing,

Reference 26

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This paper cites Medical image classification using synergic deep learning,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Medical image classification using synergic deep learning,

Reference 27

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This paper cites Brownlee, Deep learning for computer vision: image classification, object detection, and face recognition in python.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Brownlee, Deep learning for computer vision: image classification, object detection, and face recognition in python

Reference 28

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This paper cites Baby physical safety mon- itoring in smart home using action recognition system,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Baby physical safety mon- itoring in smart home using action recognition system,

Reference 29

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This paper cites Data augmentation for improving deep learning in image classification problem,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Data augmentation for improving deep learning in image classification problem,

Reference 30

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This paper cites Dos and ddos attack detection in iot infrastructure using xception model with explainability,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Dos and ddos attack detection in iot infrastructure using xception model with explainability,

Reference 31

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This paper cites Fingerprint minutiae extraction using deep learning,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Fingerprint minutiae extraction using deep learning,

Reference 32

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Observation 5a5e84ac-c26e-4fbd-b3ea-2822bb23820f · outbound

This paper cites Flowpic: Encrypted internet traffic classi- fication is as easy as image recognition,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Flowpic: Encrypted internet traffic classi- fication is as easy as image recognition,

Reference 33

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This paper cites A compar- ison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta- analysis,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A compar- ison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta- analysis,

Reference 34

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This paper cites Deep learning in medical imaging,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep learning in medical imaging,

Reference 35

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Observation d6eaec77-d3d5-4346-a0ea-bdb83ca48163 · outbound

This paper cites Recruiting doctors from poor countries: the great brain robbery?,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Recruiting doctors from poor countries: the great brain robbery?,

Reference 36

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This paper cites Deep learning-enabled medical computer vision,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep learning-enabled medical computer vision,

Reference 37

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This paper cites Computer vision to enhance healthcare domain: An overview of features, implementation, and opportunities,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Computer vision to enhance healthcare domain: An overview of features, implementation, and opportunities,

Reference 38

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This paper cites Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward,

Reference 39

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This paper cites A guide to deep learning in healthcare,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A guide to deep learning in healthcare,

Reference 40

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This paper cites Sensitivity of different machine learning algorithms to noise,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Sensitivity of different machine learning algorithms to noise,

Reference 41

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This paper cites Deep residual learning for image recognition,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Deep residual learning for image recognition,

Reference 42

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Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 43

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This paper cites Efficientnetv2: Smaller models and faster training,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Efficientnetv2: Smaller models and faster training,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.435682Z

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This paper cites Bone fracture multi-region x-ray data,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Bone fracture multi-region x-ray data,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.420150Z

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Observation 4dcc4b00-b17d-48f2-afbc-7a30bf9ae004 · outbound

This paper cites Enlarging smaller images before inputting into convolu- tional neural network: zero-padding vs. interpolation,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Enlarging smaller images before inputting into convolu- tional neural network: zero-padding vs. interpolation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.387770Z

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This paper cites ImageNet pre-trained models with batch normalization.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging ImageNet pre-trained models with batch normalization

Reference 47

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This paper cites Does image normal- ization and intensity resolution impact texture classification?,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Does image normal- ization and intensity resolution impact texture classification?,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.367248Z

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Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Unresolved cited work

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Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Unresolved cited work

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Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:52:30.306741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 08092e0e-f118-49d4-85db-2570f9e5ee9f · outbound

This paper cites Poisson-gaussian noise analysis and estimation for low-dose x-ray images in the nsct domain,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Poisson-gaussian noise analysis and estimation for low-dose x-ray images in the nsct domain,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.265494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e4760ca4-0832-4f1b-a13b-2cbee28cd2ae · outbound

This paper cites The classification of noise-afflicted remotely sensed data using three machine-learning techniques: effect of different levels and types of noise on accuracy,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging The classification of noise-afflicted remotely sensed data using three machine-learning techniques: effect of different levels and types of noise on accuracy,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.205144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b0e2337-9957-476f-a345-9bcea5d83f4e · outbound

This paper cites A review of image denoising algorithms, with a new one,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A review of image denoising algorithms, with a new one,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.160780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c6640a45-e2f7-4b70-b735-e36ed7ae771d · outbound

This paper cites Relative contributions of anatomical and quantum noise in signal detection and perception of tomographic digital breast images,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Relative contributions of anatomical and quantum noise in signal detection and perception of tomographic digital breast images,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.125688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 919c48e5-c6f5-4c32-a9dd-6c7b9d6053e3 · outbound

This paper cites Modeling quantum noise of phosphors used in medical x-ray imaging detectors,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Modeling quantum noise of phosphors used in medical x-ray imaging detectors,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.079530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74e62957-7c97-4402-ae4f-a905f89a95a7 · outbound

This paper cites Iniewski, Medical imaging: principles, detectors, and electronics.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Iniewski, Medical imaging: principles, detectors, and electronics

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.060256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7aa8af3b-69d4-43bf-a114-e70d47dd37c5 · outbound

This paper cites A variational method to remove the combination of poisson and gaussian noises,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A variational method to remove the combination of poisson and gaussian noises,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.042203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a7c578a8-3162-44c1-8cf5-5d4df436f108 · outbound

This paper cites A method of total variation to remove the mixed poisson-gaussian noise,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging A method of total variation to remove the mixed poisson-gaussian noise,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:30.016316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44792337-224b-4932-9aa9-8f25f159d61f · outbound

This paper cites Image restoration with poisson–gaussian mixed noise,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging Image restoration with poisson–gaussian mixed noise,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:29.979945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28731c92-6db4-4221-8714-db97dd2fb65c · outbound

This paper cites An unbiased risk estimator for image denoising in the presence of mixed poisson– gaussian noise,.

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging An unbiased risk estimator for image denoising in the presence of mixed poisson– gaussian noise,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:52:29.950082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

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