Alan Halpern

Orcid: 0000-0001-7320-1901

According to our database1, Alan Halpern authored at least 20 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Evaluating skin tone scales for dermatologic dataset labeling: a prospective-comparative study.
npj Digit. Medicine, 2025

Improving dataset transparency in dermatologic Artificial Intelligence using a dataset nutrition label.
npj Digit. Medicine, 2025

Automated triage of cancer-suspicious skin lesions with 3D total-body photography.
npj Digit. Medicine, 2025

2023
Guest Editorial Skin Image Analysis in the Age of Deep Learning.
IEEE J. Biomed. Health Informatics, 2023

Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study).
npj Digit. Medicine, 2023

Nonexpert Crowds Outperform Expert Individuals in Diagnostic Accuracy on a Skin Lesion Diagnosis Task.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Guest editorial: Image analysis in dermatology.
Medical Image Anal., 2022

2021
DICOM in Dermoscopic Research: an Experience Report and a Way Forward.
J. Digit. Imaging, 2021

2020
A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context.
CoRR, 2020

2019
Guest Editorial Skin Lesion Image Analysis for Melanoma Detection.
IEEE J. Biomed. Health Informatics, 2019

Dermoscopy Image Analysis: Overview and Future Directions.
IEEE J. Biomed. Health Informatics, 2019

BCN20000: Dermoscopic Lesions in the Wild.
CoRR, 2019

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).
CoRR, 2019

2018
Transforming Dermatologic Imaging for the Digital Era: Metadata and Standards.
J. Digit. Imaging, 2018

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC).
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Deep learning ensembles for melanoma recognition in dermoscopy images.
IBM J. Res. Dev., 2017

2016
Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).
CoRR, 2016

Classification of dermoscopy patterns using deep convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015


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