| Skin lesion classification from dermoscopic images using deep learning techniques A Romero-Lopez, X Giro-i-Nieto, J Burdick, O Marques 2017 13th IASTED international conference on biomedical engineering (BioMed …, 2017 | 411 | 2017 |
| Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology A Homeyer, C Geißler, LO Schwen, F Zakrzewski, T Evans, ... Modern Pathology 35 (12), 1759-1769, 2022 | 34 | 2022 |
| The impact of segmentation on the accuracy and sensitivity of a melanoma classifier based on skin lesion images J Burdick, O Marques, A Romero-Lopez, X Giró Nieto, J Weinthal SIIM 2017 scientific program: Pittsburgh, PA, June 1-June 3, 2017, David L …, 2017 | 16 | 2017 |
| Skin lesion detection from dermoscopic images using convolutional neural networks A Romero López Universitat Politècnica de Catalunya, 2017 | 12 | 2017 |
| System to collect and identify skin conditions from images and expert knowledge A Abid, AJ Sanfiz, AR Lopez, ET Jarmain, M Akrout, A Challa, ... US Patent 10,878,567, 2020 | 8 | 2020 |
| Publisher Correction to: Recommendations on compiling test datasets for evaluating artificial intelligence solutions in pathology (Modern Pathology,(2022), 35, 12,(1759-1769 … A Homeyer, C Geißler, LO Schwen, F Zakrzewski, T Evans, ... | | 2022 |
