Verónica Vilaplana

84 papers B 9C 4Misc 1Journal 39Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D-StyleGAN2-ADA: Volumetric Synthesis of Realistic Prostate T2W MRI. J. Imaging Claudia L. Giardina, Verónica Vilaplana
2025	—	`conf`	Anatomically Guided 3D Diffusion Models for Synthetic Prostate MRI Generation. DGM4MICCAI@MICCAI Claudia L. Giardina, Sigrid Vila-Bagaria, Carlos Albornés, Montse Pardàs, Verónica Vilaplana
2025	J	`jnl`	Cell Nuclei Detection and Classification in Whole Slide Images with Transformers. CoRR Oscar Pina, Eduard Dorca, Verónica Vilaplana
2025	J	`jnl`	Comparative analysis and interpretability of survival models for melanoma prognosis. Comput. Biol. Medicine Carlos Hernández-Pérez, Sebastian Podlipnik, Joan Ficapal, Susana Puig, Josep Malvehy, Verónica Vilaplana
2025	J	`jnl`	Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. Oscar Pina, Verónica Vilaplana
2025	—	`conf`	Segmenting Invasive and In Situ Carcinoma in Breast WSIs with a Pretrained Histopathology Transformer. Deep-Breath@MICCAI Lauren Jimenez-Martin, Felip Vilardell, Ana Petit, Eduard Dorca, Teresa Soler-Monsó, Irma Ramos-Oliver, Laura Pons, Pedro L. Fernández, Laia Adalid Llansa, Daniel Mata, Lourdes Salazar-Huayna, Josep R. Casas, Verónica Vilaplana
2024	—	`conf`	Breast Cancer Molecular Subtyping from H&E Whole Slide Images Using Foundation Models and Transformers. Deep-Breath@MICCAI Lauren Jimenez-Martin, Carlos Hernández-Pérez, Verónica Vilaplana
2024	—	`conf`	Bridging Domains in Melanoma Diagnostics: Predicting BRAF Mutations and Sentinel Lymph Node Positivity with Attention-Based Models in Histological Images. CVPR Workshops Carlos Hernández-Pérez, Lauren Jimenez-Martin, Verónica Vilaplana
2024	—	`conf`	Cell-DETR: Efficient cell detection and classification in WSIs with transformers. MIDL Oscar Pina, Eduard Dorca, Verónica Vilaplana
2024	J	`jnl`	Feature propagation as self-supervision signals on graphs. Knowl. Based Syst. Oscar Pina, Verónica Vilaplana
2024	—	`conf`	Identifying Brain Ageing Trajectories Using Variational Autoencoders with Regression Model in Neuroimaging Data Stratified by Sex and Validated Against Dementia-Related Risk Factors. PRIME@MICCAI Berta Calm Salvans, Irene Cumplido-Mayoral, Juan Domingo Gispert, Verónica Vilaplana
2024	J	`jnl`	SurvLIMEpy: A Python package implementing SurvLIME. Expert Syst. Appl. Cristian Pachón-García, Carlos Hernández-Pérez, Pedro Delicado, Verónica Vilaplana
2024	—	`conf`	Unsupervised Domain Adaptation for Multi-Stain Cell Detection in Breast Cancer with Transformers. CVPR Workshops Oscar Pina, Verónica Vilaplana
2023	J	`jnl`	Layer-wise training for self-supervised learning on graphs. CoRR Oscar Pina, Verónica Vilaplana
2023	J	`jnl`	Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Comput. Electron. Agric. 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
2023	J	`jnl`	RGI : Regularized Graph Infomax for self-supervised learning on graphs. CoRR Oscar Pina, Verónica Vilaplana
2023	J	`jnl`	SurvLIMEpy: A Python package implementing SurvLIME. CoRR Cristian Pachón-García, Carlos Hernández-Pérez, Pedro Delicado, Verónica Vilaplana
2022	J	`jnl`	SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images. Remote. Sens. Luis Salgueiro, Javier Marcello, Verónica Vilaplana
2022	—	`conf`	Self-supervised graph representations of WSIs. GeoMedIA Oscar Pina, Verónica Vilaplana
2022	—	`conf`	Structural Networks for Brain Age Prediction. MIDL Oscar Pina, Irene Cumplido-Mayoral, Raffaele Cacciaglia, José María González-de-Echávarri, Juan Domingo Gispert, Verónica Vilaplana
2021	J	`jnl`	A Dual Network for Super-Resolution and Semantic Segmentation of Sentinel-2 Imagery. Remote. Sens. Saüc Abadal, Luis Salgueiro, Javier Marcello, Verónica Vilaplana
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR 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 Caballero, 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 H. Meyer, Nisarg A. Shah, Sanjay N. 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
2021	J	`jnl`	Single-Image Super-Resolution of Sentinel-2 Low Resolution Bands with Residual Dense Convolutional Neural Networks. Remote. Sens. Luis Salgueiro, Javier Marcello, Verónica Vilaplana
2020	J	`jnl`	Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation. CoRR Laura Mora Ballestar, Verónica Vilaplana
2020	J	`jnl`	Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Comput. Electron. Agric. Jordi Gené-Mola, Ricardo Sanz-Cortiella, Joan Ramón Rosell-Polo, Josep Ramon Morros, Javier Ruiz Hidalgo, Verónica Vilaplana, Eduard Gregorio-Lopez
2020	—	`conf`	MRI Brain Tumor Segmentation and Uncertainty Estimation Using 3D-UNet Architectures. BrainLes@MICCAI (1) Laura Mora Ballestar, Verónica Vilaplana
2020	J	`jnl`	MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures. CoRR Laura Mora Ballestar, Verónica Vilaplana
2020	J	`jnl`	NeAT: a Nonlinear Analysis Toolbox for Neuroimaging. Neuroinformatics Adrià Casamitjana, Verónica Vilaplana, Santi Puch, Asier Aduriz, Carlos López, Grégory Operto, Raffaele Cacciaglia, Carles Falcón, José Luis Molinuevo, Juan Domingo Gispert
2020	J	`jnl`	Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease: A Predictive Study. IEEE J. Biomed. Health Informatics Adrià Casamitjana, Paula M. Petrone, José Luis Molinuevo, Juan Domingo Gispert, Verónica Vilaplana
2020	J	`jnl`	Super-Resolution of Sentinel-2 Imagery Using Generative Adversarial Networks. Remote. Sens. Luis Salgueiro Romero, Javier Marcello, Verónica Vilaplana
2020	—	`conf`	Uncertainty Estimation in Deep Neural Networks for Dermoscopic Image Classification. CVPR Workshops Marc Combalia, Ferran Hueto, Susana Puig, Josep Malvehy, Verónica Vilaplana
2020	Misc	`conf`	Weakly Supervised Semantic Segmentation For Remote Sensing Hyperspectral Imaging. ICASSP Eloi Moliner, Luis Salgueiro Romero, Verónica Vilaplana
2019	J	`jnl`	BCN20000: Dermoscopic Lesions in the Wild. CoRR Marc Combalia, Noel C. F. Codella, Veronica Rotemberg, Brian Helba, Verónica Vilaplana, Ofer Reiter, Allan C. Halpern, Susana Puig, Josep Malvehy
2019	J	`jnl`	Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge. IEEE Trans. Medical Imaging 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
2019	C	`conf`	Comparative study of upsampling methods for super-resolution in remote sensing. ICMV Luis Salgueiro Romero, Javier Marcello, Verónica Vilaplana
2019	—	`conf`	Digitally Stained Confocal Microscopy through Deep Learning. MIDL Marc Combalia, Javiera Pérez-Anker, Adriana García-Herrera, Llúcia Alos, Verónica Vilaplana, Ferran Marqués, Susana Puig, Josep Malvehy
2019	J	`jnl`	Measuring traffic lane-changing by converting video into space-time still images. Comput. Aided Civ. Infrastructure Eng. Marcel Sala, Francesc Soriguera, Kevin Huillca, Verónica Vilaplana
2019	J	`jnl`	Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities. Comput. Electron. Agric. Jordi Gené-Mola, Verónica Vilaplana, Joan Ramón Rosell Polo, Josep Ramon Morros, Javier Ruiz Hidalgo, Eduard Gregorio-Lopez
2019	J	`jnl`	Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Process. Image Commun. Carles Ventura, David Varas, Verónica Vilaplana, Xavier Giró-i-Nieto, Ferran Marqués
2019	—	`conf`	Picking Groups Instead of Samples: A Close Look at Static Pool-Based Meta-Active Learning. ICCV Workshops Ignasi Mas, Ramon Morros, Verónica Vilaplana
2019	J	`jnl`	Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning. CoRR Ignasi Mas, Josep Ramon Morros, Verónica Vilaplana
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. CoRR 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 Li Hsian Chen, Wiesje M. van der Flier, Frederik Barkhof, Max A. Viergever, Geert Jan Biessels
2019	J	`jnl`	Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge. IEEE Trans. Medical Imaging 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 Li Hsian 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
2018	C	`conf`	Action Tube Extraction Based 3D-CNN for RGB-D Action Recognition. CBMI Zineng Xu, Verónica Vilaplana, Josep Ramon Morros
2018	J	`jnl`	Brain MRI super-resolution using 3D generative adversarial networks. CoRR Irina Sánchez, Verónica Vilaplana
2018	J	`jnl`	Cascaded V-Net using ROI masks for brain tumor segmentation. CoRR Adrià Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana
2018	—	`conf`	Leishmaniasis Parasite Segmentation and Classification Using Deep Learning. AMDO Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López Codina
2018	J	`jnl`	Leishmaniasis Parasite Segmentation and Classification using Deep Learning. CoRR Marc Górriz, Albert Aparicio, Berta Raventós, Verónica Vilaplana, Elisa Sayrol, Daniel López Codina
2018	—	`conf`	Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. DLMIA/ML-CDS@MICCAI Marc Combalia, Verónica Vilaplana
2018	J	`jnl`	Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. CoRR Marc Combalia, Verónica Vilaplana
2018	—	`conf`	Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer's Disease. PRIME@MICCAI Adrià Casamitjana, Verónica Vilaplana, Paula M. Petrone, José Luis Molinuevo, Juan Domingo Gispert
2017	—	`conf`	Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. BrainLes@MICCAI Adria Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana
2016	—	`conf`	3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures. BrainLes@MICCAI Adria Casamitjana, Santi Puch, Asier Aduriz, Verónica Vilaplana
2016	J	`jnl`	Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. CoRR 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
2015	—	`conf`	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 Eugenio Tacchini, Ramon Morros, Verónica Vilaplana, Enrique Sañoso
2015	J	`jnl`	Improving Spatial Codification in Semantic Segmentation. CoRR Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor
2015	B	`conf`	Improving spatial codification in semantic segmentation. ICIP Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Kevin McGuinness, Ferran Marqués, Noel E. O'Connor
2015	J	`jnl`	Saliency maps on image hierarchies. CoRR Verónica Vilaplana
2015	J	`jnl`	Saliency maps on image hierarchies. Signal Process. Image Commun. Verónica Vilaplana
2015	—	`conf`	UPC System for the 2015 MediaEval Multimodal Person Discovery in Broadcast TV task. MediaEval Miquel India, David Varas, Verónica Vilaplana, Josep Ramon Morros, Javier Hernando
2014	J	`jnl`	Improving retrieval accuracy of Hierarchical Cellular Trees for generic metric spaces. Multim. Tools Appl. Carles Ventura, Verónica Vilaplana, Xavier Giró-i-Nieto, Ferran Marqués
2013	C	`conf`	Automatic keyframe selection based on mutual reinforcement algorithm. CBMI Carles Ventura, Xavier Giró-i-Nieto, Verónica Vilaplana, Daniel Farré Giribet, Eusebio Carasusán
2013	B	`conf`	Salient object detection on a hierarchy of image partitions. ICIP Verónica Vilaplana, Guillermo Muntaner
2012	B	`conf`	Hierarchical Navigation and Visual Search for Video Keyframe Retrieval. MMM Carles Ventura, Manel Martos, Xavier Giró-i-Nieto, Verónica Vilaplana, Ferran Marqués
2010	B	`conf`	Object detection and segmentation on a hierarchical region-based image representation. ICIP Verónica Vilaplana, Ferran Marqués, Miriam Leon, Antoni Gasull
2010	—	`conf`	Region-based caption text extraction. WIAMIS Miriam Leon, Verónica Vilaplana, Antoni Gasull, Ferran Marqués
2010	—	`—`	Region-based face detection, segmentation and tracking. framework definition and application to other objects. Verónica Vilaplana
2009	B	`conf`	Caption text extraction for indexing purposes using a hierarchical region-based image model. ICIP Miriam Leon, Verónica Vilaplana, Antoni Gasull, Ferran Marqués
2009	—	`conf`	Face tracking using a region-based mean-shift algorithm with adaptive object and background models. WIAMIS Verónica Vilaplana, David Varas
2008	J	`jnl`	Binary Partition Trees for Object Detection. IEEE Trans. Image Process. Verónica Vilaplana, Ferran Marqués, Philippe Salembier
2008	B	`conf`	Region-based mean shift tracking: Application to face tracking. ICIP Verónica Vilaplana, Ferran Marqués
2007	—	`conf`	Face detection and segmentation on a hierarchical image representation. EUSIPCO Verónica Vilaplana, Ferran Marqués
2007	—	`conf`	On Building a Hierarchical Region-Based Representation for Generic Image Analysis. ICIP (4) Verónica Vilaplana, Ferran Marqués
2007	C	`conf`	Region-Based Hierarchical Representation for Object Detection. CBMI Verónica Vilaplana, Ferran Marqués
2006	—	`conf`	Audio, Video and Multimodal Person Identification in a Smart Room. CLEAR Jordi Luque, Ramon Morros, Ainara Garde, Jan Anguita, Mireia Farrús, Dusan Macho, Ferran Marqués, Claudi Martinez, Verónica Vilaplana, Javier Hernando
2006	B	`conf`	Face Recognition using Groups of Images in Smart Room Scenarios. ICIP Verónica Vilaplana, Claudi Martinez, Javier Cruz, Ferran Marqués
2005	—	`ch.`	Automatic Extraction and Analysis of Visual Objects Information. Multimedia Content and the Semantic Web Xavier Giró, Verónica Vilaplana, Ferran Marqués, Philippe Salembier
2005	—	`conf`	Support Vector Data Description based on PCA features for face detection. EUSIPCO Verónica Vilaplana, Ferran Marqués
2004	B	`conf`	Object recognition based on binary partition trees. ICIP Oreste Salerno, Montse Pardàs, Verónica Vilaplana, Ferran Marqués
2002	J	`jnl`	Face segmentation and tracking based on connected operators and partition projection. Pattern Recognit. Ferran Marqués, Verónica Vilaplana
2000	B	`conf`	A Morphological Approach for Segmentation and Tracking of Human Face. ICPR Ferran Marqués, Verónica Vilaplana
1999	—	`conf`	Face Location and Recognition for Video Indexing in the Hypermedia Project. ECMAST Luis Torres, Ferran Marqués, Luis Lorente, Verónica Vilaplana
1999	—	`conf`	Human Face Segmentation and Tracking Using Connected Operators and Partition Projection. ICIP (3) Ferran Marqués, Verónica Vilaplana, Anabel Buxes
1998	—	`conf`	Region-based segmentation and tracking of human faces. EUSIPCO Verónica Vilaplana, Ferrari Marqués, Philippe Salembier, Luis Garrirlo