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

Noel Codella, Veronica Rotemberg, Philipp Tschandl, +9

arXiv (Cornell University)

Medical Image SegmentationEngineeringMachine LearningTop Segmentation AlgorithmsDigital Pathology +21

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, +24

The Lancet Oncology

Diagnostic StudyEngineeringMachine LearningBiometricsDiagnosis +14

Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data

Damien A. Fair, Joel T. Nigg, Swathi Iyer, +19

Frontiers in Systems Neuroscience

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)

David Gutman, Noel Codella, E. Celebi, +4

arXiv (Cornell University)

EngineeringMachine LearningDigital PathologyDermatologyImage Analysis +19

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 Codella, Stephen W. Dusza, +13

Journal of the American Academy of Dermatology

Dermoscopic ImageImage AnalysisEngineeringMedical ImagingComputer Algorithms +9

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 Codella, David Gutman, M. Emre Celebi, +8

EngineeringDigital PathologyPathologyDermatologyImage Analysis +20

Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology

Roxana Daneshjou, Catarina Barata, Brigid Betz‐Stablein, +15

JAMA Dermatology

Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge

Marc Combalia, Noel Codella, Veronica Rotemberg, +14

The Lancet Digital Health

Computer algorithms show potential for improving dermatologists' accuracy to diagnose cutaneous melanoma: Results of the International Skin Imaging Collaboration 2017

Michael A. Marchetti, Konstantinos Liopyris, Stephen W. Dusza, +9

Journal of the American Academy of Dermatology

Dermoscopic ImageImage AnalysisMachine LearningMedical ImagingEngineering +11

Deep learning ensembles for melanoma recognition in dermoscopy images

Noel Codella, Quoc-Bao Nguyen, Sharath Pankanti, +4

IBM Journal of Research and Development

Convolutional Neural NetworkMedical Image SegmentationEngineeringMachine LearningDermatology +14