Skin Imaging Collaboration on Skin Image Analysis
D-LEMA: Deep Learning Ensembles From Multiple Annotations - Application to Skin Lesion Segmentation-
[pdf]
[bibtex]@InProceedings{Mirikharaji_2021_CVPR, author = {Mirikharaji, Zahra and Abhishek, Kumar and Izadi, Saeed and Hamarneh, Ghassan}, title = {D-LEMA: Deep Learning Ensembles From Multiple Annotations - Application to Skin Lesion Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1837-1846} }
Can Self-Training Identify Suspicious Ugly Duckling Lesions?-
[pdf]
[arXiv]
[bibtex]@InProceedings{Mohseni_2021_CVPR, author = {Mohseni, Mohammadreza and Yap, Jordan and Yolland, William and Koochek, Arash and Atkins, Stella}, title = {Can Self-Training Identify Suspicious Ugly Duckling Lesions?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1829-1836} }
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bissoto_2021_CVPR, author = {Bissoto, Alceu and Valle, Eduardo and Avila, Sandra}, title = {GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1847-1856} }
Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Reimers_2021_CVPR, author = {Reimers, Christian and Penzel, Niklas and Bodesheim, Paul and Runge, Jakob and Denzler, Joachim}, title = {Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1810-1819} }
Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset-
[pdf]
[arXiv]
[bibtex]@InProceedings{Groh_2021_CVPR, author = {Groh, Matthew and Harris, Caleb and Soenksen, Luis and Lau, Felix and Han, Rachel and Kim, Aerin and Koochek, Arash and Badri, Omar}, title = {Evaluating Deep Neural Networks Trained on Clinical Images in Dermatology With the Fitzpatrick 17k Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1820-1828} }
Towards Domain-Specific Explainable AI: Model Interpretation of a Skin Image Classifier Using a Human Approach-
[pdf]
[bibtex]@InProceedings{Stieler_2021_CVPR, author = {Stieler, Fabian and Rabe, Fabian and Bauer, Bernhard}, title = {Towards Domain-Specific Explainable AI: Model Interpretation of a Skin Image Classifier Using a Human Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {1802-1809} }