Joe Stanley

About Joe Stanley

Joe Stanley, With an exceptional h-index of 30 and a recent h-index of 20 (since 2020), a distinguished researcher at Missouri University of Science and Technology, specializes in the field of Image Processing, Data Fusion, Medical Informatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation

Basal Cell Carcinoma Diagnosis with Fusion of Deep Learning and Telangiectasia Features

Fusion of Deep Learning with Conventional Imaging Processing: Does It Bring Artificial Intelligence Closer to the Clinic?

Hybrid Topological Data Analysis and Deep Learning for Basal Cell Carcinoma Diagnosis

Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion

SharpRazor: Automatic removal of hair and ruler marks from dermoscopy images

ChimeraNet: U-Net for hair detection in dermoscopic skin lesion images

Introduction to Digital Logic and Components

Joe Stanley Information

University

Position

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Citations(all)

3107

Citations(since 2020)

1359

Cited By

2281

hIndex(all)

30

hIndex(since 2020)

20

i10Index(all)

62

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Joe Stanley Skills & Research Interests

Image Processing

Data Fusion

Medical Informatics

Top articles of Joe Stanley

LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation

Journal of Imaging Informatics in Medicine

2024/2/26

Basal Cell Carcinoma Diagnosis with Fusion of Deep Learning and Telangiectasia Features

Journal of Imaging Informatics in Medicine

2024/2/8

Fusion of Deep Learning with Conventional Imaging Processing: Does It Bring Artificial Intelligence Closer to the Clinic?

The Journal of Investigative Dermatology

2024/2/1

Hybrid Topological Data Analysis and Deep Learning for Basal Cell Carcinoma Diagnosis

Journal of Imaging Informatics in Medicine

2024/1/12

Increasing Melanoma Diagnostic Confidence: Forcing the Convolutional Network to Learn from the Lesion

arXiv preprint arXiv:2305.09542

2023/5/16

SharpRazor: Automatic removal of hair and ruler marks from dermoscopy images

Skin Research and Technology

2023/4

ChimeraNet: U-Net for hair detection in dermoscopic skin lesion images

Journal of Digital Imaging

2023/4

Introduction to Digital Logic and Components

2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

See List of Professors in Joe Stanley University(Missouri University of Science and Technology)