Biomedical Applications

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

Publications

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. Submitted .
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. ; In Press.
Cumplido-Mayoral I, Garcia-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. ; In Press.
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). ; In Press.
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). ; In Press.
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). ; In Press.
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.
Cumplido-Mayoral I, Ingala S, Lorenzini L, Wink AMeije, Haller S, Molinuevo JLuis, Wolz R, Palombit A, Schwarz AJ, Chetelat G, et al. Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2021.
Cumplido-Mayoral I, Shekari M, Salvadó G, Operto G, Cacciaglia R, Falcon C, Baizán ANiñerola, Perissinotti A, Minguillon C, Fauria K, et al. Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-β PET and CSF Aβ42 status: findings using Machine Learning. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2021.
Cumplido-Mayoral I, Salvadó G, Shekari M, Falcon C, Alomà MMilà, Baizán ANiñerola, Molinuevo JLuis, Zetterberg H, Blennow K, Calvet MSuarez, et al. Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease. In: Alzheimer's Association International Conference. Alzheimer's Association International Conference. ; 2021.

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