Search Publication

Export 666 results:
Author Title Type [ Year(Desc)]
Filters: First Letter Of Last Name is M  [Clear All Filters]
2022
Mas-Montserrat D, Perera M, Barrabés M, Geleta M, Giró-i-Nieto X, Ioannidis AG. Generative Moment Matching Networks for Genotype Simulation. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.  (2.95 MB)
Domenech T. Hiding Images in their Spoken Narratives. McGuinness K, Pons J, Giró-i-Nieto X. 2022.  (15.23 MB)
Barrabés M. Machine Learning for Genomic Sequence Processing. Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. 2022 .
Budria Á. Multimodal 3D Hand Pose Enhancement for Sign Language. Tarrés L, Moreno F, Giró-i-Nieto X. 2022 .  (1.2 MB)
Pinazo J, Lerín A, de Gibert FXavier, Moliner Á, Sevilla D, Jurado A, et al.. Perception in the era of Autonomous Vehicles. In Photonics 4 Smart Cities, SCEWC 2022. Barcelona: Photonics21; 2022.  (2.34 MB)
Geleta M, Puntí C, McGuinness K, Pons J, Canton-Ferrer C, Giró-i-Nieto X. PixInWav: Residual Steganography for Hiding Pixels in Audio. In ICASSP. 2022.  (5.77 MB)
Bartusiak E, Barrabés M, Rymbe A, Gimbernat J, López C, Barberis L, et al.. Predicting Dog Phenotypes from Genotypes. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'22). 2022.  (1.17 MB)
Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, et al.. 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;.
Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, et al.. 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;.
Metha R, Filos A, Baid U, Mora L, Vilaplana V, Davatzikos C, et al.. 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;.
Bernal O, Mas-Montserrat D, Giró-i-Nieto X, Ioannidis AG. SALAI-Net: species-agnostic local ancestry inference network. Bioinformatics. 2022;38.
Salgueiro L, Marcello J, Vilaplana V. SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images. Remote Sensing. 2022;14(22).
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. 2022.
Hernandez C, Vilaplana V, Combalia M, García S, Podlipnik S, Burgos J, et al.. Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours. In European Association of Dermato Oncology (EADO 2022). 2022.
Mosella-Montoro A, Ruiz-Hidalgo J. SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters. In IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR). New Orleans, USA; 2022.  (5.45 MB)
Salgueiro L. Super-resolution and semantic segmentation of remote sensing images using deep learning techniques. Vilaplana V, Marcello J. Signal Theory and Communications Department. 2022.
Budria Á, Tarrés L, Gállego GI, Moreno F, Torres J, Giró-i-Nieto X. Topic Detection in Continuous Sign Language Videos. In Accessibility, Vision, and Autonomy Meet (AVA) CVPR Workshop. 2022.  (1.82 MB)
2023
Barrabés M, Mas-Montserrat D, Geleta M, Giró-i-Nieto X, Ioannidis AG. Adversarial Learning for Feature Shift Detection and Correction. In Neural Information Processing Systems (NeurIPS). New Orleans, USA; 2023.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, 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.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, 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.
Cumplido-Mayoral I, García-Prat M, Operto G, Falcon C, Shekari M, Cacciaglia R, 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.
Cumplido-Mayoral I, Brugulat-Serrat A, Sánchez-Benavides G, González-Escalante A, Anastasi F, Mila-Aloma M, et al.. Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum. In Alzheimer’s Association International Conference (AAIC). Amsterdam, Netherlands; 2023.
Cumplido-Mayoral I, Brugulat-Serrat A, Sánchez-Benavides G, González-Escalante A, Anastasi F, Mila-Aloma M, et al.. Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum. In Alzheimer’s Association International Conference (AAIC). Amsterdam, Netherlands; 2023.
Cumplido-Mayoral I, Mila-Aloma M, Falcon C, Cacciaglia R, Minguillon C, Fauria K, et al.. Brain-age prediction and its associations with glial and synaptic CSF markers. In Alzheimer's Association International Conference. Amsterdam, Netherlands; 2023.
Cumplido-Mayoral I, Mila-Aloma M, Falcon C, Cacciaglia R, Minguillon C, Fauria K, et al.. Brain-age prediction and its associations with glial and synaptic CSF markers. In Alzheimer's Association International Conference. Amsterdam, Netherlands; 2023.

Pages