A Cascaded Dilated Convolution Approach for Mpox Lesion Classification | Paper Citation Record

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This paper cites Multi-country monkeypox outbreak in non- endemic countries, May 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Multi-country monkeypox outbreak in non- endemic countries, May 2022

Reference 1

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This paper cites Mpox outbreak in the netherlands, 2022: public health response, characteristics of the first 1,000 cases and protection of the first-generation smallpox vaccine.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Mpox outbreak in the netherlands, 2022: public health response, characteristics of the first 1,000 cases and protection of the first-generation smallpox vaccine

Reference 2

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This paper cites Overview of mpox outbreak in greece in 2022–2023: Is it over? Viruses, 15(6), 2023.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Overview of mpox outbreak in greece in 2022–2023: Is it over? Viruses, 15(6), 2023

Reference 3

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This paper cites Duque, Joana V.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Duque, Joana V

Reference 4

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This paper cites Mpox outbreak in france: epidemiological characteristics and sexual behaviour of cases aged 15 years or older, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Mpox outbreak in france: epidemiological characteristics and sexual behaviour of cases aged 15 years or older, 2022

Reference 5

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 6

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 7

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This paper cites Barboza, Bijaya Kumar Padhi, and Ranjit Sah.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Barboza, Bijaya Kumar Padhi, and Ranjit Sah

Reference 8

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Observation 6d201780-e9de-45ee-84ca-d2b3a42f4fc5 · outbound

This paper cites Strahan, Lloyd C.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Strahan, Lloyd C

Reference 9

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This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Dermatologist-level classification of skin cancer with deep neural networks

Reference 10

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This paper cites Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

Reference 11

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This paper cites Systematic review of machine learning for diagnosis and prognosis in dermatology.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Systematic review of machine learning for diagnosis and prognosis in dermatology

Reference 12

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This paper cites Skin lesion classification from dermoscopic images using deep learning techniques.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Skin lesion classification from dermoscopic images using deep learning techniques

Reference 13

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This paper cites Chadaga, S.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Chadaga, S

Reference 14

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 15

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This paper cites Jaradat, R.E.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Jaradat, R.E

Reference 16

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Observation 73462bc3-49ff-43f0-a506-bd5d1779e849 · outbound

This paper cites A transfer learning and explainable solution to detect mpox from smartphones images.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification A transfer learning and explainable solution to detect mpox from smartphones images

Reference 17

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This paper cites Mehedi Hassan, Anupam Kumar Bairagi, and Sheikh Mohammed Shariful Islam.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Mehedi Hassan, Anupam Kumar Bairagi, and Sheikh Mohammed Shariful Islam

Reference 18

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Observation 491d69a2-3dce-4a14-823e-50731a06970a · outbound

This paper cites Thieme, Y.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Thieme, Y

Reference 19

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This paper cites Efficientvit: Multi-scale linear attention for high-resolution dense prediction, 2024.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Efficientvit: Multi-scale linear attention for high-resolution dense prediction, 2024

Reference 20

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Observation 2668ddb4-041c-406d-a3fe-2bd7beaca4fe · outbound

This paper cites Monkeynet: A robust deep convolutional neural network for monkeypox disease detection and classification.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Monkeynet: A robust deep convolutional neural network for monkeypox disease detection and classification

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:15.274550Z

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This paper cites Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study

Reference 22

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This paper cites A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity

Reference 23

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This paper cites Going deeper with convolutions, 2014.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Going deeper with convolutions, 2014

Reference 24

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This paper cites Imagenet classification with deep convolutional neural networks.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Imagenet classification with deep convolutional neural networks

Reference 25

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This paper cites Aggregated residual transformations for deep neural networks, 2017.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Aggregated residual transformations for deep neural networks, 2017

Reference 26

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This paper cites Deep residual learning for image recognition, 2015.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Deep residual learning for image recognition, 2015

Reference 27

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This paper cites Xception: Deep learning with depthwise separable convolutions, 2017.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Xception: Deep learning with depthwise separable convolutions, 2017

Reference 28

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 29

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This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 30

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This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 31

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This paper cites Do vision transformers see like convolutional neural networks?, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Do vision transformers see like convolutional neural networks?, 2022

Reference 32

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This paper cites How do vision transformers work?, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification How do vision transformers work?, 2022

Reference 33

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This paper cites When vision transformers outperform resnets without pre-training or strong data augmentations, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification When vision transformers outperform resnets without pre-training or strong data augmentations, 2022

Reference 34

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This paper cites Cmt: Convolutional neural networks meet vision transformers, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Cmt: Convolutional neural networks meet vision transformers, 2022

Reference 35

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This paper cites A convnet for the 2020s, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification A convnet for the 2020s, 2022

Reference 36

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This paper cites Levit: a vision transformer in convnet’s clothing for faster inference, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Levit: a vision transformer in convnet’s clothing for faster inference, 2021

Reference 37

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Swin transformer: Hierarchical vision transformer using shifted windows, 2021

Reference 38

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This paper cites Le, and Mingxing Tan.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Le, and Mingxing Tan

Reference 39

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 40

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This paper cites Metaheuristics optimization-based ensemble of deep neural networks for mpox disease detection.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Metaheuristics optimization-based ensemble of deep neural networks for mpox disease detection

Reference 41

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This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks, 2019.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Mobilenetv2: Inverted residuals and linear bottlenecks, 2019

Reference 42

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This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift, 2015.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Batch normalization: Accelerating deep network training by reducing internal covariate shift, 2015

Reference 43

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Efficientvit: Memory efficient vision transformer with cascaded group attention, 2023

Reference 44

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 45

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This paper cites Rep- resentation degeneration problem in training natural language generation models, 2019.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Rep- resentation degeneration problem in training natural language generation models, 2019

Reference 46

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This paper cites Going deeper with image transformers, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Going deeper with image transformers, 2021

Reference 47

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This paper cites Deepvit: Towards deeper vision transformer, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Deepvit: Towards deeper vision transformer, 2021

Reference 48

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This paper cites Refiner: Refining self- attention for vision transformers, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Refiner: Refining self- attention for vision transformers, 2021

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:24:15.073204Z

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This paper cites The principle of diversity: Training stronger vision transformers calls for reducing all levels of redundancy, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification The principle of diversity: Training stronger vision transformers calls for reducing all levels of redundancy, 2022

Reference 50

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Observation 64d0e56e-20f5-4fad-afbf-021b0f4c2d5e · outbound

This paper cites Le, and Hartwig Adam.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Le, and Hartwig Adam

Reference 51

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This paper cites Deit iii: Revenge of the vit, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Deit iii: Revenge of the vit, 2022

Reference 52

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This paper cites Pytorch: An imperative style, high-performance deep learning library, 2019.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Pytorch: An imperative style, high-performance deep learning library, 2019

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Pytorch image models

Reference 54

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Focal loss for dense object detection, 2018

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