Veronica Vilaplana

Picking Groups Instead of Samples: A Close Look at Static Pool-Based Meta-Active Learning

Josep Ramon Morros, Ignasi Mas, Veronica Vilaplana, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

Anne L. Martel, Marc Combalia, Veronica Vilaplana, 2018, DLMIA/ML-CDS@MICCAI.

MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures pdf

Veronica Vilaplana, Laura Mora Ballestar, Verónica Vilaplana, 2020, BrainLes@MICCAI.

Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification

Marc Combalia, Susana Puig, Veronica Vilaplana, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge

Gang Li, Dinggang Shen, Guoyan Zheng, 2019, IEEE Transactions on Medical Imaging.

Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation pdf

Veronica Vilaplana, Laura Mora Ballestar, Verónica Vilaplana, 2020, ArXiv.

Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging

Veronica Vilaplana, Eloi Moliner, Luis Fernando Salgueiro Romero, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results pdf

Christos Davatzikos, Gowtham Krishnan Murugesan, Chandan Ganesh, 2021, ArXiv.