Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. - Adria Casamitjana; Marcel Catà; Irina Sánchez; Marc Combalia; Verónica Vilaplana (BrainLes@MICCAI, 2017)

Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. - Marc Combalia; Verónica Vilaplana (DLMIA/ML-CDS@MICCAI, 2018)

Digitally Stained Confocal Microscopy through Deep Learning. - Marc Combalia; Javiera Pérez-Anker; Adriana García-Herrera; Llúcia Alos; Verónica Vilaplana; Ferran Marqués; Susana Puig; Josep Malvehy (MIDL, 2019)

Powering the Internet of Things through Light Communication. - Ilker Demirkol; Daniel Camps-Mur; Josep Paradells; Marc Combalia; Wasiu O. Popoola; Harald Haas (IEEE Commun. Mag., 2019)

BCN20000: Dermoscopic Lesions in the Wild. - Marc Combalia; Noel C. F. Codella; Veronica Rotemberg; Brian Helba; Verónica Vilaplana; Ofer Reiter; Allan C. Halpern; Susana Puig; Josep Malvehy (CoRR, 2019)

Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. - Marc Combalia; Ferran Hueto; Susana Puig; Josep Malvehy; Verónica Vilaplana (CVPR Workshops, 2020)

A Patient-Centric Dataset of Images and Metadata for Identifying Melanomas Using Clinical Context. - Veronica Rotemberg; Nicholas R. Kurtansky; Brigid Betz-Stablein; Liam J. Caffery; Emmanouil Chousakos; Noel Codella; Marc Combalia; Stephen W. Dusza; Pascale Guitera; David A. Gutman; Allan Halpern; Harald Kittler; et al. (CoRR, 2020)

Guest editorial: Image analysis in dermatology. - M. Emre Celebi 001; Catarina Barata; Allan Halpern; Philipp Tschandl; Marc Combalia; Yuan Liu 019 (Medical Image Anal., 2022)

Guest Editorial Skin Image Analysis in the Age of Deep Learning. - M. Emre Celebi 001; Catarina Barata; Allan Halpern; Philipp Tschandl; Marc Combalia; Yuan Liu 019 (IEEE J. Biomed. Health Informatics, 2023)