Verónica Vilaplana

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 43

Top Topics

Semantic Segmentation

Weakly Supervised

Confocal Microscopy

Top Venues

Comput. Electron. Agric.

Publications

Oscar Pina, Verónica Vilaplana
Feature propagation as self-supervision signals on graphs. Knowl. Based Syst. 289 (2024)
Cristian Pachón-García, Carlos Hernández-Pérez, Pedro Delicado, Verónica Vilaplana
SurvLIMEpy: A Python package implementing SurvLIME. Expert Syst. Appl. 237 (Part C) (2024)
Jordi Gené-Mola, Mar Ferrer-Ferrer, Eduard Gregorio-Lopez, Pieter M. Blok, Jochen Hemming, Josep Ramon Morros, Joan Ramón Rosell-Polo, Verónica Vilaplana, Javier Ruiz Hidalgo
Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Comput. Electron. Agric. 209 (2023)
Oscar Pina, Verónica Vilaplana
RGI : Regularized Graph Infomax for self-supervised learning on graphs. CoRR (2023)
Oscar Pina, Verónica Vilaplana
Layer-wise training for self-supervised learning on graphs. CoRR (2023)
Cristian Pachón-García, Carlos Hernández-Pérez, Pedro Delicado, Verónica Vilaplana
SurvLIMEpy: A Python package implementing SurvLIME. CoRR (2023)
Oscar Pina, Verónica Vilaplana
Self-supervised graph representations of WSIs. GeoMedIA (2022)
Luis Salgueiro, Javier Marcello, Verónica Vilaplana
SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images. Remote. Sens. 14 (22) (2022)
Oscar Pina, Irene Cumplido-Mayoral, Raffaele Cacciaglia, José María González-de-Echávarri, Juan Domingo Gispert, Verónica Vilaplana
Structural Networks for Brain Age Prediction. MIDL (2022)
Saüc Abadal, Luis Salgueiro, Javier Marcello, Verónica Vilaplana
A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery. Remote. Sens. 13 (22) (2021)
Luis Salgueiro, Javier Marcello, Verónica Vilaplana
Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks. Remote. Sens. 13 (24) (2021)
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam 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, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR (2021)
Jordi Gené-Mola, Ricardo Sanz-Cortiella, Joan Ramón Rosell-Polo, Josep Ramon Morros, Javier Ruiz Hidalgo, Verónica Vilaplana, Eduard Gregorio-Lopez
Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Comput. Electron. Agric. 169 (2020)
Laura Mora Ballestar, Verónica Vilaplana
MRI Brain Tumor Segmentation and Uncertainty Estimation Using 3D-UNet Architectures. BrainLes@MICCAI (1) (2020)
Marc Combalia, Ferran Hueto, Susana Puig, Josep Malvehy, Verónica Vilaplana
Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. CVPR Workshops (2020)
Laura Mora Ballestar, Verónica Vilaplana
Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation. CoRR (2020)
Laura Mora Ballestar, Verónica Vilaplana
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures. CoRR (2020)
Luis Salgueiro Romero, Javier Marcello, Verónica Vilaplana
Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote. Sens. 12 (15) (2020)
Adrià Casamitjana, Verónica Vilaplana, Santi Puch, Asier Aduriz, Carlos López, Grégory Operto, Raffaele Cacciaglia, Carles Falcón, José Luis Molinuevo, Juan Domingo Gispert
NeAT: a Nonlinear Analysis Toolbox for Neuroimaging. Neuroinformatics 18 (4) (2020)
Eloi Moliner, Luis Salgueiro Romero, Verónica Vilaplana
Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging. ICASSP (2020)
Adrià Casamitjana, Paula M. Petrone, José Luis Molinuevo, Juan Domingo Gispert, Verónica Vilaplana
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease: A Predictive Study. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Carles Ventura, David Varas, Verónica Vilaplana, Xavier Giró-i-Nieto, Ferran Marqués
Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Process. Image Commun. 76 (2019)
Marc Combalia, Javiera Pérez-Anker, Adriana García-Herrera, Llúcia Alos, Verónica Vilaplana, Ferran Marqués, Susana Puig, Josep Malvehy
Digitally Stained Confocal Microscopy through Deep Learning. MIDL (2019)
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser, Rutger Heinen, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR (2019)
Ignasi Mas, Josep Ramon Morros, Verónica Vilaplana
Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. CoRR (2019)
Jordi Gené-Mola, Verónica Vilaplana, Joan Ramón Rosell Polo, Josep Ramon Morros, Javier Ruiz Hidalgo, Eduard Gregorio-Lopez
Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities. Comput. Electron. Agric. 162 (2019)
Ignasi Mas, Ramon Morros, Verónica Vilaplana
Picking Groups Instead of Samples: A Close Look at Static Pool-Based Meta-Active Learning. ICCV Workshops (2019)
Marcel Sala, Francesc Soriguera, Kevin Huillca, Verónica Vilaplana
Measuring traffic lane-changing by converting video into space-time still images. Comput. Aided Civ. Infrastructure Eng. 34 (6) (2019)
Luis Salgueiro Romero, Javier Marcello, Verónica Vilaplana
Comparative study of upsampling methods for super-resolution in remote sensing. ICMV (2019)
Marc Combalia, Noel C. F. Codella, Veronica Rotemberg, Brian Helba, Verónica Vilaplana, Ofer Reiter, Allan C. Halpern, Susana Puig, Josep Malvehy
BCN20000: Dermoscopic Lesions in the Wild. CoRR (2019)
Li Wang, Dong Nie, Guannan Li, Élodie Puybareau, Jose Dolz, Qian Zhang, Fan Wang, Jing Xia, Zhengwang Wu, Jiawei Chen, Kim-Han Thung, Toan Duc Bui, Jitae Shin, Guodong Zeng, Guoyan Zheng, Vladimir S. Fonov, Andrew Doyle, Yongchao Xu, Pim Moeskops, Josien P. W. Pluim, Christian Desrosiers, Ismail Ben Ayed, Gerard Sanroma, Oualid M. Benkarim, Adrià Casamitjana, Verónica Vilaplana, Weili Lin, Gang Li, Dinggang Shen
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 38 (9) (2019)
Hugo J. Kuijf, Adrià Casamitjana, D. Louis Collins, Mahsa Dadar, Achilleas Georgiou, Mohsen Ghafoorian, Dakai Jin, April Khademi, Jesse Knight, Hongwei Li, Xavier Lladó, J. Matthijs Biesbroek, Miguel Luna, Qaiser Mahmood, Richard McKinley, Alireza Mehrtash, Sébastien Ourselin, Bo-yong Park, Hyunjin Park, Sang Hyun Park, Simon Pezold, Élodie Puybareau, Jeroen de Bresser, Letícia Rittner, Carole H. Sudre, Sergi Valverde, Verónica Vilaplana, Roland Wiest, Yongchao Xu, Ziyue Xu, Guodong Zeng, Jianguo Zhang, Guoyan Zheng, Rutger Heinen, Christopher Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels, Simon Andermatt, Mariana P. Bento, Matt Berseth, Mikhail Belyaev, M. Jorge Cardoso
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 38 (11) (2019)
Adrià Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana
Cascaded V-Net using ROI masks for brain tumor segmentation. CoRR (2018)
Marc Combalia, Verónica Vilaplana
Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. DLMIA/ML-CDS@MICCAI (2018)
Zineng Xu, Verónica Vilaplana, Josep Ramon Morros
Action Tube Extraction Based 3D-CNN for RGB-D Action Recognition. CBMI (2018)
Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López Codina
Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. AMDO (2018)
Marc Combalia, Verónica Vilaplana
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. CoRR (2018)
Adrià Casamitjana, Verónica Vilaplana, Paula M. Petrone, José Luis Molinuevo, Juan Domingo Gispert
Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease. PRIME@MICCAI (2018)
Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López Codina
Leishmaniasis Parasite Segmentation and Classification using Deep Learning. CoRR (2018)
Irina Sánchez, Verónica Vilaplana
Brain MRI super-resolution using 3D generative adversarial networks. CoRR (2018)
Adria Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana
Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. BrainLes@MICCAI (2017)
Adria Casamitjana, Santi Puch, Asier Aduriz, Verónica Vilaplana
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures. BrainLes@MICCAI (2016)
Santi Puch, Asier Aduriz, Adria Casamitjana, Verónica Vilaplana, Paula M. Petrone, Grégory Operto, Raffaele Cacciaglia, Stavros Skouras, Carles Falcón, José Luis Molinuevo, Juan Domingo Gispert
Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. CoRR (2016)
Verónica Vilaplana
Saliency maps on image hierarchies. CoRR (2015)
Verónica Vilaplana
Saliency maps on image hierarchies. Signal Process. Image Commun. 38 (2015)
Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor
Improving spatial codification in semantic segmentation. ICIP (2015)
Miquel India, David Varas, Verónica Vilaplana, Josep Ramon Morros, Javier Hernando
UPC System for the 2015 MediaEval Multimodal Person Discovery in Broadcast TV task. MediaEval (2015)
Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor
Improving Spatial Codification in Semantic Segmentation. CoRR (2015)
Eugenio Tacchini, Ramon Morros, Verónica Vilaplana, Enrique Sañoso
Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems. RecSys Posters (2015)
Carles Ventura, Verónica Vilaplana, Xavier Giró-i-Nieto, Ferran Marqués
Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces. Multim. Tools Appl. 73 (3) (2014)
Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Daniel Farré Giribet, Eusebio Carasusán
Automatic keyframe selection based on mutual reinforcement algorithm. CBMI (2013)
Verónica Vilaplana, Guillermo Muntaner
Salient object detection on a hierarchy of image partitions. ICIP (2013)
Carles Ventura, Manel Martos, Xavier Giró-i-Nieto, Verónica Vilaplana, Ferran Marqués
Hierarchical Navigation and Visual Search for Video Keyframe Retrieval. MMM (2012)
Verónica Vilaplana, Ferran Marqués, Miriam Leon, Antoni Gasull
Object detection and segmentation on a hierarchical region-based image representation. ICIP (2010)
Miriam Leon, Verónica Vilaplana, Antoni Gasull, Ferran Marqués
Region-based caption text extraction. WIAMIS (2010)
Verónica Vilaplana, David Varas
Face tracking using a region-based mean-shift algorithm with adaptive object and background models. WIAMIS (2009)
Miriam Leon, Verónica Vilaplana, Antoni Gasull, Ferran Marqués
Caption text extraction for indexing purposes using a hierarchical region-based image model. ICIP (2009)
Verónica Vilaplana, Ferran Marqués, Philippe Salembier
Binary Partition Trees for Object Detection. IEEE Trans. Image Process. 17 (11) (2008)
Verónica Vilaplana, Ferran Marqués
Region-based mean shift tracking: Application to face tracking. ICIP (2008)
Verónica Vilaplana, Ferran Marqués
Face detection and segmentation on a hierarchical image representation. EUSIPCO (2007)
Verónica Vilaplana, Ferran Marqués
On Building a Hierarchical Region-Based Representation for Generic Image Analysis. ICIP (4) (2007)
Verónica Vilaplana, Ferran Marqués
Region-Based Hierarchical Representation for Object Detection. CBMI (2007)
Verónica Vilaplana, Claudi Martinez, Javier Cruz, Ferran Marqués
Face Recognition using Groups of Images in Smart Room Scenarios. ICIP (2006)
Jordi Luque, Ramon Morros, Ainara Garde, Jan Anguita, Mireia Farrús, Dusan Macho, Ferran Marqués, Claudi Martinez, Verónica Vilaplana, Javier Hernando
Audio, Video and Multimodal Person Identification in a Smart Room. CLEAR (2006)
Verónica Vilaplana, Ferran Marqués
Support Vector Data Description based on PCA features for face detection. EUSIPCO (2005)
Oreste Salerno, Montse Pardàs, Verónica Vilaplana, Ferran Marqués
Object recognition based on binary partition trees. ICIP (2004)
Ferran Marqués, Verónica Vilaplana
Face segmentation and tracking based on connected operators and partition projection. Pattern Recognit. 35 (3) (2002)
Ferran Marqués, Verónica Vilaplana
A Morphological Approach for Segmentation and Tracking of Human Face. ICPR (2000)
Luis Torres, Ferran Marqués, Luis Lorente, Verónica Vilaplana
Face Location and Recognition for Video Indexing in the Hypermedia Project. ECMAST (1999)
Ferran Marqués, Verónica Vilaplana, Anabel Buxes
Human Face Segmentation and Tracking Using Connected Operators and Partition Projection. ICIP (3) (1999)
Verónica Vilaplana, Ferrari Marqués, Philippe Salembier, Luis Garrirlo
Region-based segmentation and tracking of human faces. EUSIPCO (1998)