Biomedical Applications

Type Start End
Internal Jan 2012 Dec 2024
Responsible URL
Verónica Vilaplana

Publications

Pina O, Vilaplana V. Self-supervised graph representations of WSIs. In: Geometric Deep Learning in Medical Image Analysis. Geometric Deep Learning in Medical Image Analysis. ; 2022.
Cumplido-Mayoral I, Mila-Aloma M, Lorenzini L, Wink AMeije, Mutsaerts H, Haller S, Chetelat G, Barkhof F, Suarez-Calvet M, Vilaplana V, et al. Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer’s disease and neurodegeneration stratified by sex. In: 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD). 15th Clinical Trials on Alzheimer’s Disease Conference (CTAD). San Francisco, USA; 2022.
Hernandez C, Combalia M, Puig S, Malvehy J, Vilaplana V. Contrastive and attention-based multiple instance learning for the prediction of sentinel lymph node status from histopathologies of primary melanoma tumours. In: Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). Cancer Prevention through early detecTion (Caption) Workshop at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022). ; 2022.
Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, Menze B, Bakas S, Gal Y, Arbel T. QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022 .
Pina O, Cumplido-Mayoral I, Cacciaglia R, González-de-Echávarri JMaría, Gispert JD, Vilaplana V. Structural Networks for Brain Age Prediction. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022). ; 2022.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, Mila-Aloma M, Calvet MSuarez, Vilaplana V, Gispert JD. Biological Brain Age Prediction Using Machine Learning on Structural Neuroimaging Data: Multi-Cohort Validation Against Biomarkers of Alzheimer’s Disease and Neurodegeneration. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2022.
Hernandez C, Combalia M, Malvehy J, Vilaplana V. 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. Medical Imaging with Deep Learning MIDL 2022. ; 2022.
Combalia M, Podlipnik S, Hernandez C, García S, Ficapal J, Burgos J, Vilaplana V, Malvehy J. Artificial intelligence to predict positivity of sentinel lymph node biopsy in melanoma patients. In: European Association of Dermato Oncology (EADO 2022). European Association of Dermato Oncology (EADO 2022). ; 2022.
Hernandez C, Vilaplana V, Combalia M, García S, Podlipnik S, Burgos J, Puig S, Malvehy J. Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours. In: European Association of Dermato Oncology (EADO 2022). European Association of Dermato Oncology (EADO 2022). ; 2022.
Podlipnik S, Hernandez C, Kiroglu A, García S, Ficapal J, Burgos J, Calbet N, Puig S, Malvehy J, Vilaplana V, et al. Personalized medicine in melanoma patients aided by artificial intelligence. In: Clinical Translation of Medical Image Computing and Computer Assisted Interventions (CLINICCAI) Workshop at MICCAI. Clinical Translation of Medical Image Computing and Computer Assisted Interventions (CLINICCAI) Workshop at MICCAI. ; 2021.

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