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Medicine

D-Index
89
Citations
30838
World Ranking
12643
National Ranking
6467

Overview

Allan C. Halpern is affiliated with the Memorial Sloan Kettering Cancer Center in the United States. Their research primarily focuses on the intersection of medicine, oncology, dermatology, epidemiology, and artificial intelligence, with significant contributions spanning 144 publications in medicine.

Their work covers key subfields including oncology, dermatology, epidemiology, artificial intelligence, and public health, environmental and occupational health. This multidisciplinary approach is reflected in the variety of topics addressed, such as cutaneous melanoma detection and management, nonmelanoma skin cancer studies, AI in cancer detection, digital imaging in medicine, cutaneous lymphoproliferative disorders research, skin protection and aging, and cell image analysis techniques.

Halpern has published in several high-profile venues with repeated contributions to the Journal of Investigative Dermatology (14 publications), Journal of the American Academy of Dermatology (9 publications), Journal of the European Academy of Dermatology and Venereology (9 publications), Scientific Data (5 publications), and JAMA Dermatology (5 publications).

Frequent collaborators include Veronica Rotemberg, Nicholas R. Kurtansky, Stephen W. Dusza, Ashfaq A. Marghoob, and Michael A. Marchetti, reflecting a broad network of coauthors with counts ranging from 22 to 37 joint works.

Among Halpern's recent published papers are:

  • "Human-computer collaboration for skin cancer recognition," 2020, Nature Medicine
  • "BCN20000: Dermoscopic Lesions in the Wild," 2024, Scientific Data
  • "Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology," 2021, JAMA Dermatology
  • "Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge," 2022, The Lancet Digital Health
  • "A reinforcement learning model for AI-based decision support in skin cancer," 2023, Nature Medicine

Best Publications

  • 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)

    Noel C. F. Codella;David Gutman;M. Emre Celebi;Brian Helba

  • Model Predicting Survival in Stage I Melanoma Based on Tumor Progression

    Wallace H. Clark;David E. Elder;DuPont Guerry;Leonard E. Braitman

  • Dermoscopy of pigmented skin lesions: results of a consensus meeting via the Internet

    Giuseppe Argenziano;H.Peter Soyer;Sergio Chimenti;Renato Talamini

  • Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

    Noel C. F. Codella;Veronica Rotemberg;Philipp Tschandl;M. Emre Celebi

  • Deep learning ensembles for melanoma recognition in dermoscopy images

    N. C. F. Codella;Q.-B. Nguyen;S. Pankanti;D. A. Gutman

  • Human–computer collaboration for skin cancer recognition

    Philipp Tschandl;Christoph Rinner;Zoe Apalla;Giuseppe Argenziano

  • Clinically Recognized Dysplastic Nevi: A Central Risk Factor for Cutaneous Melanoma

    Margaret A. Tucker;Allan Halpern;Elizabeth A. Holly;Patricia Hartge

  • Guidelines of care for the management of primary cutaneous melanoma

    Christopher K. Bichakjian;Allan C. Halpern;Timothy M. Johnson;Antoinette Foote Hood

  • Cutaneous side-effects in cancer patients treated with the antiepidermal growth factor receptor antibody C225.

    K.J. Busam;P. Capodieci;R. Motzer;T. Kiehn

  • Dermatologic side effects associated with the epidermal growth factor receptor inhibitors

    Anna Liza C. Agero;Stephen W. Dusza;Cristiane Benvenuto-Andrade;Klaus J. Busam

  • Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study.

    Philipp Tschandl;Noel Codella;Bengü Nisa Akay;Giuseppe Argenziano

  • HER1/EGFR inhibitor-associated rash: future directions for management and investigation outcomes from the HER1/EGFR inhibitor rash management forum

    Román Pérez-Soler;Jean Pierre Delord;Allan Halpern;Karen Kelly

  • A patient-centric dataset of images and metadata for identifying melanomas using clinical context

    Veronica Rotemberg;Nicholas Kurtansky;Brigid Betz-Stablein;Liam Caffery

  • Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images

    Michael A. Marchetti;Noel C.F. Codella;Stephen W. Dusza;David A. Gutman

  • Randomized Double-Blind Trial of Prophylactic Oral Minocycline and Topical Tazarotene for Cetuximab-Associated Acne-Like Eruption

    Alon Scope;Anna Liza C. Agero;Stephen W. Dusza;Patricia L. Myskowski

  • Differences Between Polarized Light Dermoscopy and Immersion Contact Dermoscopy for the Evaluation of Skin Lesions

    Cristiane Benvenuto-Andrade;Stephen W. Dusza;Anna Liza C. Agero;Alon Scope

  • Melanoma, version 2.2016 clinical practice guidelines in oncology

    Daniel G. Coit;John A. Thompson;Alain Algazi;Robert Andtbacka

  • Patterns of detection in patients with cutaneous melanoma.

    Mary S. Brady;Susan A. Oliveria;Paul J. Christos;Marianne Berwick

  • BCN20000: Dermoscopic Lesions in the Wild.

    Marc Combalia;Noel C. F. Codella;Veronica Rotemberg;Brian Helba

  • A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context

    Veronica Rotemberg;Nicholas Kurtansky;Brigid Betz-Stablein;Liam Caffery

Frequent Co-Authors

Ashfaq A. Marghoob
Ashfaq A. Marghoob Memorial Sloan Kettering Cancer Center
Alan C. Geller
Alan C. Geller Harvard University
H. Peter Soyer
H. Peter Soyer University of Queensland
Martin A. Weinstock
Martin A. Weinstock Brown University
Josep Malvehy
Josep Malvehy University of Barcelona
Klaus J. Busam
Klaus J. Busam Memorial Sloan Kettering Cancer Center
David E. Elder
David E. Elder Hospital of the University of Pennsylvania
Marianne Berwick
Marianne Berwick University of New Mexico
Daniel G. Coit
Daniel G. Coit Memorial Sloan Kettering Cancer Center
Susana Puig
Susana Puig University of Barcelona

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