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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: XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023). XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023). Portoroz, Slovenia; 2023. |
Pardàs M, Anglada D, Espina M, Marques F, Salembier P. Stromal tissue segmentation in Ki67 histology images based on cytokeratin-19 stain translation. JOURNAL OF MEDICAL IMAGING. 2023 ;10(3). (13.78 MB) |
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Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, Mila-Aloma M, Lorenzini L, Minguillon C, Molinuevo JLuis, 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. eLife. 2023 ;12. |
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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. |
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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. |
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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. |
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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 . |
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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. |
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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. |
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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. |
