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Achim Hekler

Showing results (21-30 of 32) with videos related to

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European Journal of Cancer (Oxford, England : 1990)|August 17, 2019
Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networksRoman C Maron, Michael Weichenthal, Jochen S Utikal, et al.
European Journal of Cancer (Oxford, England : 1990)|July 23, 2021
Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumoursTitus J Brinker, Lennard Kiehl, Max Schmitt, et al.
European Journal of Cancer (Oxford, England : 1990)|January 10, 2021
Robustness of convolutional neural networks in recognition of pigmented skin lesionsRoman C Maron, Sarah Haggenmüller, Christof von Kalle, et al.
Journal of Medical Internet Research|July 13, 2021
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic ReviewJulia Höhn, Achim Hekler, Eva Krieghoff-Henning, et al.
Frontiers in Medicine|May 22, 2020
Effects of Label Noise on Deep Learning-Based Skin Cancer ClassificationAchim Hekler, Jakob N Kather, Eva Krieghoff-Henning, et al.
European Journal of Cancer (Oxford, England : 1990)|August 13, 2021
A benchmark for neural network robustness in skin cancer classificationRoman C Maron, Justin G Schlager, Sarah Haggenmüller, et al.
Communications Medicine|September 10, 2024
Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient careLukas Heinlein, Roman C Maron, Achim Hekler, et al.
European Journal of Cancer (Oxford, England : 1990)|April 10, 2021
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classificationJulia Höhn, Eva Krieghoff-Henning, Tanja B Jutzi, et al.
JAMA Dermatology|February 7, 2024
Federated Learning for Decentralized Artificial Intelligence in Melanoma DiagnosticsSarah Haggenmüller, Max Schmitt, Eva Krieghoff-Henning, et al.
European Journal of Cancer (Oxford, England : 1990)|August 16, 2022
Model soups improve performance of dermoscopic skin cancer classifiersRoman C Maron, Achim Hekler, Sarah Haggenmüller, et al.
Pageof 4

Showing results (21-30 of 32) with videos related to

Sort By:
Pageof 4
European Journal of Cancer (Oxford, England : 1990)|August 17, 2019
Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networksRoman C Maron, Michael Weichenthal, Jochen S Utikal, et al.
European Journal of Cancer (Oxford, England : 1990)|July 23, 2021
Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumoursTitus J Brinker, Lennard Kiehl, Max Schmitt, et al.
European Journal of Cancer (Oxford, England : 1990)|January 10, 2021
Robustness of convolutional neural networks in recognition of pigmented skin lesionsRoman C Maron, Sarah Haggenmüller, Christof von Kalle, et al.
Journal of Medical Internet Research|July 13, 2021
Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic ReviewJulia Höhn, Achim Hekler, Eva Krieghoff-Henning, et al.
Frontiers in Medicine|May 22, 2020
Effects of Label Noise on Deep Learning-Based Skin Cancer ClassificationAchim Hekler, Jakob N Kather, Eva Krieghoff-Henning, et al.
European Journal of Cancer (Oxford, England : 1990)|August 13, 2021
A benchmark for neural network robustness in skin cancer classificationRoman C Maron, Justin G Schlager, Sarah Haggenmüller, et al.
Communications Medicine|September 10, 2024
Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient careLukas Heinlein, Roman C Maron, Achim Hekler, et al.
European Journal of Cancer (Oxford, England : 1990)|April 10, 2021
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classificationJulia Höhn, Eva Krieghoff-Henning, Tanja B Jutzi, et al.
JAMA Dermatology|February 7, 2024
Federated Learning for Decentralized Artificial Intelligence in Melanoma DiagnosticsSarah Haggenmüller, Max Schmitt, Eva Krieghoff-Henning, et al.
European Journal of Cancer (Oxford, England : 1990)|August 16, 2022
Model soups improve performance of dermoscopic skin cancer classifiersRoman C Maron, Achim Hekler, Sarah Haggenmüller, et al.
Pageof 4