Marc Combalia
Marc Combalia
AI Consultant, CTO Athen Tech. Prev: Head of AI Skin Cancer @ Hospital Clinic of Barcelona
Verified email at
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
Bcn20000: Dermoscopic lesions in the wild
M Combalia, NCF Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ...
arXiv preprint arXiv:1908.02288, 2019
A patient-centric dataset of images and metadata for identifying melanomas using clinical context
V Rotemberg, N Kurtansky, B Betz-Stablein, L Caffery, E Chousakos, ...
Scientific data 8 (1), 1-8, 2021
Powering the Internet of Things through light communication
I Demirkol, D Camps-Mur, J Paradells, M Combalia, W Popoola, H Haas
IEEE Communications Magazine 57 (6), 107-113, 2019
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
S Haggenmüller, RC Maron, A Hekler, JS Utikal, C Barata, RL Barnhill, ...
European Journal of Cancer 156, 202-216, 2021
Cascaded V-Net using ROI masks for brain tumor segmentation
A Casamitjana, M Catà, I Sánchez, M Combalia, V Vilaplana
International MICCAI Brainlesion Workshop, 381-391, 2017
BCN20000: dermoscopic lesions in the wild. 2019
M Combalia, NC Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ...
arXiv preprint arXiv:1908.02288, 1908
Uncertainty estimation in deep neural networks for dermoscopic image classification
M Combalia, F Hueto, S Puig, J Malvehy, V Vilaplana
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Basal cell carcinoma characterization using fusion ex vivo confocal microscopy: a promising change in conventional skin histopathology
J Pérez‐Anker, S Ribero, O Yélamos, A García‐Herrera, L Alos, B Alejo, ...
British Journal of Dermatology 182 (2), 468-476, 2020
Checklist for evaluation of image-based artificial intelligence reports in dermatology: CLEAR Derm consensus guidelines from the International Skin Imaging Collaboration …
R Daneshjou, C Barata, B Betz-Stablein, ME Celebi, N Codella, ...
JAMA dermatology 158 (1), 90-96, 2022
Masked V-Net: an approach to brain tumor segmentation
M Catà, A Casamitjana Díaz, I Sanchez Muriana, M Combalia, ...
2017 International MICCAI BraTS Challenge. Pre-conference proceedings, 42-49, 2017
BCN20000: Dermoscopic lesions in the wild. arXiv 2019
M Combalia, NC Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ...
arXiv preprint arXiv:1908.02288, 0
Application of distributed computing and machine learning technologies to cybersecurity
H Attak, M Combalia, G Gardikis, B Gastón, L Jacquin, D Katsianis, A Litke, ...
Space 2, I2CAT, 2018
Digitally stained confocal microscopy through deep learning
M Combalia, J Pérez-Anker, A García-Herrera, L Alos, V Vilaplana, ...
International Conference on Medical Imaging with Deep Learning--Full Paper Track, 2018
Machine learning in melanoma diagnosis. Limitations about to be overcome
C González-Cruz, MA Jofre, S Podlipnik, M Combalia, D Gareau, ...
Actas Dermo-Sifiliográficas (English Edition) 111 (4), 313-316, 2020
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge
M Combalia, N Codella, V Rotemberg, C Carrera, S Dusza, D Gutman, ...
The Lancet Digital Health 4 (5), e330-e339, 2022
Monte-Carlo sampling applied to multiple instance learning for histological image classification
M Combalia, V Vilaplana
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
Deep learning automated pathology in ex vivo microscopy
M Combalia, S Garcia, J Malvehy, S Puig, AG Mülberger, J Browning, ...
Biomedical Optics Express 12 (6), 3103-3116, 2021
Skin Lesion Analysis Towards Melanoma Detection
AHNCF Codella, D Gutman, B Helba, ME Celebi, M Combalia, H Kittler, ...
Accessed: Feb 2, 2020, 2019
Dermoscopic Lesions in the Wild
M Combalia, NCF Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ...
arXiv preprint arXiv:1908.02288, 2019
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