Carlos Hernandez
Contributions while at GPI
Journal Articles
| , “Comparative Analysis and Interpretability of Survival Models for Melanoma Prognosis”, Computers in Biology and Medicine, vol. 190, 2025. |
| , “SurvLIMEpy: A Python package implementing SurvLIME”, Expert Systems With Applications, vol. 237, Part C, 2024. |
| , “Bcn20000: Dermoscopic lesions in the wild”, Nature - Scientific Data, vol. 11, 2024. |
Book Chapters and Books
| , “Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers”, in Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, vol. 15451, Springer, 2025. |
| , “Interpreting Machine Learning Models for Survival Analysis: A Study of Cutaneous Melanoma Using the SEER Database”, in Explainable Artificial Intelligence and Process Mining Applications for Healthcare,, vol. 2020, Springer, Cham, 2024. |
Conference Papers
| , “Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop), 2024. |
| , “Breast Cancer Molecular Subtyping from H&E Whole Slide Images using Foundation Models and Transformers”, in Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care, MICCAI 2024, 2024. |
| , “Interpreting Machine Learning models for Survival Analysis: A study of Cutaneous Melanoma using the SEER Database”, in XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023), Portoroz, Slovenia, 2023. |
| , “Sentinel lymph node status prediction using self-attention networks and contrastive learning from routine histology images of primary tumours”, in Medical Imaging with Deep Learning MIDL 2022, 2022. |
| , “Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours”, in European Association of Dermato Oncology (EADO 2022), 2022. |