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Marc Combalia
Marc Combalia
Building at SPEEDRUN 2024. Prev: Head of AI Skin Cancer @ Hospital Clinic of Barcelona
Verified email at clinic.cat
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Cited by
Cited by
Year
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
18332018
Bcn20000: Dermoscopic lesions in the wild
M Combalia, NCF Codella, V Rotemberg, B Helba, V Vilaplana, O Reiter, ...
arXiv preprint arXiv:1908.02288, 2019
4852019
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), 34, 2021
3872021
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
1742021
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
852022
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
812019
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
732020
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
702022
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
622017
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
452020
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, 1908
421908
A patient-centric dataset of images and metadata for identifying melanomas using clinical context. Sci Data 8, 34 (2021)
V Rotemberg, N Kurtansky, B Betz-Stablein, L Caffery, E Chousakos, ...
37
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
321908
New regulation of medical devices in the EU: impact in dermatology
J Malvehy, R Ginsberg, L Sampietro‐Colom, J Ficapal, M Combalia, ...
Journal of the European Academy of Dermatology and Venereology 36 (3), 360-364, 2022
192022
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
192017
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
172020
Digitally stained confocal microscopy through deep learning
M Combalia, J Pérez-Anker, A García-Herrera, L Alos, V Vilaplana, ...
172018
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
162021
Application of distributed computing and machine learning technologies to cybersecurity
H Attak, M Combalia, G Gardikis, B Gastón, L Jacquin, A Litke, ...
Computer & Electronics Security Applications Rendez-vous (C&ESAR), Rennes, 2018., 2018
162018
Monte-Carlo sampling applied to multiple instance learning for histological image classification
M Combalia, V Vilaplana
International Workshop on Deep Learning in Medical Image Analysis, 274-281, 2018
152018
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Articles 1–20