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Christoph Sinz

Showing results (21-30 of 30) with videos related to

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Scientific Reports|December 23, 2017
Non-invasive multimodal optical coherence and photoacoustic tomography for human skin imagingZhe Chen, Elisabet Rank, Kristen M Meiburger, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|November 13, 2024
In vivo reflectance confocal microscopy role for early to advanced lentigo maligna melanoma spectrum: A systematic review and pooled analysisBruna Melhoranse Gouveia, Peter M Ferguson, Serigne N Lo, et al.
Journal of Biomedical Optics|September 23, 2016
Comprehensive vascular imaging using optical coherence tomography-based angiography and photoacoustic tomographyBehrooz Zabihian, Zhe Chen, Elisabet Rank, et al.
The European Respiratory Journal|December 22, 2022
Dupilumab increases aspirin tolerance in NSAID-exacerbated respiratory diseaseSven Schneider, Katharina Poglitsch, Christina Morgenstern, et al.
Journal of the American Academy of Dermatology|October 29, 2025
In vivo cutaneous confocal microscopy for diagnosing the lentigo maligna spectrum: A multicentre prospective study and proposal of a lentigo maligna spectrum scoreBruna Melhoranse Gouveia, Terence Wong, Peter M Ferguson, et al.
Journal of the American Academy of Dermatology|October 10, 2024
Remote cutaneous confocal microscopy: A multicentric prospective study evaluating diagnostic accuracy for melanoma and keratinocyte carcinoma in tertiary settingsGenevieve Ho, Helena Collgros, Christoph Sinz, et al.
Journal of the American Academy of Dermatology|September 25, 2017
Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skinChristoph Sinz, Philipp Tschandl, Cliff Rosendahl, et al.
JAMA Dermatology|November 29, 2018
Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural NetworksPhilipp Tschandl, Cliff Rosendahl, Bengu Nisa Akay, et al.
The Lancet. Oncology|June 16, 2019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic studyPhilipp Tschandl, Noel Codella, Bengü Nisa Akay, et al.
The Lancet. Digital Health|September 29, 2023
Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective, diagnostic, clinical trialScott W Menzies, Christoph Sinz, Michelle Menzies, et al.
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Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Scientific Reports|December 23, 2017
Non-invasive multimodal optical coherence and photoacoustic tomography for human skin imagingZhe Chen, Elisabet Rank, Kristen M Meiburger, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|November 13, 2024
In vivo reflectance confocal microscopy role for early to advanced lentigo maligna melanoma spectrum: A systematic review and pooled analysisBruna Melhoranse Gouveia, Peter M Ferguson, Serigne N Lo, et al.
Journal of Biomedical Optics|September 23, 2016
Comprehensive vascular imaging using optical coherence tomography-based angiography and photoacoustic tomographyBehrooz Zabihian, Zhe Chen, Elisabet Rank, et al.
The European Respiratory Journal|December 22, 2022
Dupilumab increases aspirin tolerance in NSAID-exacerbated respiratory diseaseSven Schneider, Katharina Poglitsch, Christina Morgenstern, et al.
Journal of the American Academy of Dermatology|October 29, 2025
In vivo cutaneous confocal microscopy for diagnosing the lentigo maligna spectrum: A multicentre prospective study and proposal of a lentigo maligna spectrum scoreBruna Melhoranse Gouveia, Terence Wong, Peter M Ferguson, et al.
Journal of the American Academy of Dermatology|October 10, 2024
Remote cutaneous confocal microscopy: A multicentric prospective study evaluating diagnostic accuracy for melanoma and keratinocyte carcinoma in tertiary settingsGenevieve Ho, Helena Collgros, Christoph Sinz, et al.
Journal of the American Academy of Dermatology|September 25, 2017
Accuracy of dermatoscopy for the diagnosis of nonpigmented cancers of the skinChristoph Sinz, Philipp Tschandl, Cliff Rosendahl, et al.
JAMA Dermatology|November 29, 2018
Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural NetworksPhilipp Tschandl, Cliff Rosendahl, Bengu Nisa Akay, et al.
The Lancet. Oncology|June 16, 2019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic studyPhilipp Tschandl, Noel Codella, Bengü Nisa Akay, et al.
The Lancet. Digital Health|September 29, 2023
Comparison of humans versus mobile phone-powered artificial intelligence for the diagnosis and management of pigmented skin cancer in secondary care: a multicentre, prospective, diagnostic, clinical trialScott W Menzies, Christoph Sinz, Michelle Menzies, et al.
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