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Allan Halpern

Showing results (31-40 of 54) with videos related to

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The Oncologist|April 27, 2005
HER1/EGFR inhibitor-associated rash: future directions for management and investigation outcomes from the HER1/EGFR inhibitor rash management forumRomán Pérez-Soler, Jean Pierre Delord, Allan Halpern, et al.
Journal of Skin Cancer|August 12, 2022
Interest and Utility of <i>MC1R</i> Testing for Melanoma Risk in Dermatology Patients with a History of Nonmelanoma Skin CancerJennifer L Hay, Erica H Lee, Stephanie N Christian, et al.
BMC Medical Genetics|March 10, 2007
Matrix Metalloproteinase-9 (MMP-9) polymorphisms in patients with cutaneous malignant melanomaJavier Cotignola, Boris Reva, Nandita Mitra, et al.
Cancer|November 6, 2004
Heterogeneity of risk for melanoma and pancreatic and digestive malignancies: a melanoma case-control studyJoni L Rutter, Christina M Bromley, Alisa M Goldstein, et al.
Nature Medicine|June 24, 2020
Human-computer collaboration for skin cancer recognitionPhilipp Tschandl, Christoph Rinner, Zoe Apalla, et al.
The Lancet. Digital Health|December 18, 2020
Accuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trialMonika Janda, Caitlin Horsham, Dimitrios Vagenas, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|December 9, 2024
Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challengeNicholas R Kurtansky, Clare A Primiero, Brigid Betz-Stablein, et al.
The Lancet. Digital Health|April 24, 2022
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand ChallengeMarc Combalia, Noel Codella, Veronica Rotemberg, et al.
Nature Medicine|July 27, 2023
A reinforcement learning model for AI-based decision support in skin cancerCatarina Barata, Veronica Rotemberg, Noel C F Codella, et al.
JAMA Dermatology|December 1, 2021
Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working GroupRoxana Daneshjou, Catarina Barata, Brigid Betz-Stablein, et al.
Pageof 6

Showing results (31-40 of 54) with videos related to

Sort By:
Pageof 6
The Oncologist|April 27, 2005
HER1/EGFR inhibitor-associated rash: future directions for management and investigation outcomes from the HER1/EGFR inhibitor rash management forumRomán Pérez-Soler, Jean Pierre Delord, Allan Halpern, et al.
Journal of Skin Cancer|August 12, 2022
Interest and Utility of <i>MC1R</i> Testing for Melanoma Risk in Dermatology Patients with a History of Nonmelanoma Skin CancerJennifer L Hay, Erica H Lee, Stephanie N Christian, et al.
BMC Medical Genetics|March 10, 2007
Matrix Metalloproteinase-9 (MMP-9) polymorphisms in patients with cutaneous malignant melanomaJavier Cotignola, Boris Reva, Nandita Mitra, et al.
Cancer|November 6, 2004
Heterogeneity of risk for melanoma and pancreatic and digestive malignancies: a melanoma case-control studyJoni L Rutter, Christina M Bromley, Alisa M Goldstein, et al.
Nature Medicine|June 24, 2020
Human-computer collaboration for skin cancer recognitionPhilipp Tschandl, Christoph Rinner, Zoe Apalla, et al.
The Lancet. Digital Health|December 18, 2020
Accuracy of mobile digital teledermoscopy for skin self-examinations in adults at high risk of skin cancer: an open-label, randomised controlled trialMonika Janda, Caitlin Horsham, Dimitrios Vagenas, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|December 9, 2024
Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challengeNicholas R Kurtansky, Clare A Primiero, Brigid Betz-Stablein, et al.
The Lancet. Digital Health|April 24, 2022
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand ChallengeMarc Combalia, Noel Codella, Veronica Rotemberg, et al.
Nature Medicine|July 27, 2023
A reinforcement learning model for AI-based decision support in skin cancerCatarina Barata, Veronica Rotemberg, Noel C F Codella, et al.
JAMA Dermatology|December 1, 2021
Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working GroupRoxana Daneshjou, Catarina Barata, Brigid Betz-Stablein, et al.
Pageof 6