Alert button
Picture for Veronica Vilaplana

Veronica Vilaplana

Alert button

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

Dec 19, 2021
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Illyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Veronica Vilaplana, Hugh McHugh, Gonzalo Maso Talou, Alan Wang, Jay Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Llado, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-Andr Weber, Abhishek Mahajan, Andras Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel Marcus, Aikaterini Kotrotsou, Rivka Colen, John Freymann, Justin Kirby, Christos Davatzikos, Bjoern Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

Figure 1 for QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results
Figure 2 for QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results
Figure 3 for QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results
Figure 4 for QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results
Viaarxiv icon

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

Dec 30, 2020
Laura Mora Ballestar, Veronica Vilaplana

Figure 1 for MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
Figure 2 for MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
Figure 3 for MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
Figure 4 for MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
Viaarxiv icon

Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation

Sep 24, 2020
Laura Mora Ballestar, Veronica Vilaplana

Figure 1 for Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Figure 2 for Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Figure 3 for Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Figure 4 for Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation
Viaarxiv icon

Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning

Nov 01, 2019
Ignasi Mas, Josep Ramon Morros, Veronica Vilaplana

Figure 1 for Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
Figure 2 for Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
Figure 3 for Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
Figure 4 for Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning
Viaarxiv icon

BCN20000: Dermoscopic Lesions in the Wild

Aug 30, 2019
Marc Combalia, Noel C. F. Codella, Veronica Rotemberg, Brian Helba, Veronica Vilaplana, Ofer Reiter, Cristina Carrera, Alicia Barreiro, Allan C. Halpern, Susana Puig, Josep Malvehy

Figure 1 for BCN20000: Dermoscopic Lesions in the Wild
Figure 2 for BCN20000: Dermoscopic Lesions in the Wild
Viaarxiv icon

Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification

Dec 30, 2018
Marc Combalia, Veronica Vilaplana

Figure 1 for Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Figure 2 for Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Figure 3 for Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Figure 4 for Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Viaarxiv icon

Brain MRI super-resolution using 3D generative adversarial networks

Dec 29, 2018
Irina Sanchez, Veronica Vilaplana

Figure 1 for Brain MRI super-resolution using 3D generative adversarial networks
Figure 2 for Brain MRI super-resolution using 3D generative adversarial networks
Figure 3 for Brain MRI super-resolution using 3D generative adversarial networks
Figure 4 for Brain MRI super-resolution using 3D generative adversarial networks
Viaarxiv icon

Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling

Apr 18, 2017
Santi Puch, Asier Aduriz, Adrià Casamitjana, Veronica Vilaplana, Paula Petrone, Grégory Operto, Raffaele Cacciaglia, Stavros Skouras, Carles Falcon, José Luis Molinuevo, Juan Domingo Gispert

Figure 1 for Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling
Viaarxiv icon