Few-Shot Learning approach for plant disease classification using images taken in the field D Argüeso, A Picon, U Irusta, A Medela, MG San-Emeterio, A Bereciartua, ... Computers and Electronics in Agriculture 175, 105542, 2020 | 263 | 2020 |
Few shot learning in histopathological images: reducing the need of labeled data on biological datasets A Medela, A Picon, CL Saratxaga, O Belar, V Cabezón, R Cicchi, R Bilbao, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 87 | 2019 |
Constellation loss: Improving the efficiency of deep metric learning loss functions for the optimal embedding of histopathological images A Medela, A Picon Journal of Pathology Informatics 11 (1), 38, 2020 | 37 | 2020 |
Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 25 | 2022 |
Autofluorescence image reconstruction and virtual staining for in-vivo optical biopsying A Picon, A Medela, LF Sanchez-Peralta, R Cicchi, R Bilbao, D Alfieri, ... IEEE Access 9, 32081-32093, 2021 | 17 | 2021 |
Automatic SCOring of atopic dermatitis using deep learning: a pilot study A Medela, T Mac Carthy, SAA Robles, CM Chiesa-Estomba, R Grimalt JID Innovations 2 (3), 100107, 2022 | 16 | 2022 |
Machine learning algorithms as a computer-assisted decision tool for oral cancer prognosis and management decisions: a systematic review CM Chiesa-Estomba, M Graña, A Medela, JA Sistiaga-Suarez, ... ORL 84 (4), 278-288, 2022 | 14 | 2022 |
Machine learning models for predicting facial nerve palsy in parotid gland surgery for benign tumors CM Chiesa-Estomba, O Echaniz, JAS Suarez, JA González-García, ... journal of surgical research 262, 57-64, 2021 | 12 | 2021 |
Artificial neural network as a tool to predict facial nerve palsy in parotid gland surgery for benign tumors CM Chiesa-Estomba, JA Sistiaga-Suarez, JÁ González-García, ... Medical Sciences 8 (4), 42, 2020 | 8 | 2020 |
Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4): A novel tool to assess the severity of hidradenitis suppurativa using artificial intelligence I Hernández Montilla, A Medela, T Mac Carthy, A Aguilar, ... Skin Research and Technology 29 (6), e13357, 2023 | 6 | 2023 |
IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) 2019 A Medela, A Picon, CL Saratxaga, O Belar, V Cabezón, R Cicchi, R Bilbao, ... CrossRef][Google Scholar], 1860-1864, 2019 | 4 | 2019 |
Dermatology Image Quality Assessment (DIQA): Artificial intelligence to ensure the clinical utility of images for remote consultations and clinical trials IH Montilla, T Mac Carthy, A Aguilar, A Medela Journal of the American Academy of Dermatology 88 (4), 927-928, 2023 | 2 | 2023 |
Automatic Urticaria Activity Score: Deep Learning–Based Automatic Hive Counting for Urticaria Severity Assessment T Mac Carthy, IH Montilla, A Aguilar, RG Castro, AMG Pérez, AV Sueiro, ... JID Innovations 4 (1), 100218, 2024 | 1 | 2024 |
Facial nerve palsy following parotid gland surgery: A machine learning prediction outcome approach CM Chiesa-Estomba, JA González-García, E Larruscain, ... World Journal of Otorhinolaryngology-Head and Neck Surgery 9 (04), 271-279, 2023 | 1 | 2023 |
The utility and reliability of a deep learning algorithm as a diagnosis support tool in head & neck non-melanoma skin malignancies A Medela, A Sabater, IH Montilla, T MacCarthy, A Aguilar, ... European Archives of Oto-Rhino-Laryngology, 1-8, 2024 | | 2024 |
Automatic Urticaria Activity Score (AUAS): A Novel Technology for Urticaria Severity Assessment Based on Automatic High-Precision Hive Counting T Mac Carthy, I Hernández Montilla, A Aguilar, R García Castro, ... Available at SSRN 4082860, 0 | | |