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Giardina C, Vilaplana V, Pardàs M, Guardia O. Synthesis of Prostate MRI Scans: A Comparison of StyleGAN2-ADA and Latent Diffusion Models. In: Conferencia de la Asociación Española para la Inteligencia Artificial, IABioMed workshop. Conferencia de la Asociación Española para la Inteligencia Artificial, IABioMed workshop. ; 2024. |
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Hernandez C, Jimenez L, Vilaplana V. 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). IEEE/CVF Conference on Computer Vision and Pattern Recognition (DEF-AI-MIA workshop). ; 2024. |
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Cumplido-Mayoral I. Biological brain-age prediction using Machine Learning on neuroimaging data: Links with pathophysiological mechanisms, dementia risk factors and cognitive decline Vilaplana V, Gispert JD. Department of Experimental and Health Sciences (DCEXS), Universitat Pompeu Fabra. 2024 ;Doctorate program in Biomedicine. |
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Hernandez C, Combalia M, Podlipnik S, Codella NCF, Rotemberg V, Halpern AC, Reiter O, Carrera C, Barreiro A, Helba B, et al. Bcn20000: Dermoscopic lesions in the wild. Nature - Scientific Data. 2024 ;11. |
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Pina O, Vilaplana V. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. 2024 ;289. |
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Cumplido-Mayoral I, Brugulat-Serra A, Sánchez-Benavides G, Molinuevo JLuis, Suarez-Calvet M, Vilaplana V, Gispert JDomingo. The mediating role of neuroimaging-derived biological brain age between risk factors for dementia and cognitive decline in middle/late-aged asymptomatic individuals: a cohort study. The Lancet Healthy Longevity. 2024 . |
Perez-Cano J, Valero ISansano, Anglada D, Pina O, Salembier P, Marqués F. Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue. Heliyon. 2024 ;10(7). (4.05 MB) |
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Pachón-García C, Hernandez C, Delicado P, Vilaplana V. SurvLIMEpy: A Python package implementing SurvLIME. Expert Systems With Applications. 2024 ;237, Part C. |
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Hernandez C, Pachón-García C, Delicado P, Vilaplana V. 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. Explainable Artificial Intelligence and Process Mining Applications for Healthcare,. Springer, Cham; 2024. |
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Pina O, Vilaplana V. Layer-wise self-supervised learning on graphs. In: KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023. |
