Santi Seguí

According to our database, Santi Seguí authored at least 38 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Anatomical landmarks localization for capsule endoscopy studies.

Pablo Laiz, Jordi Vitrià, Pere Gilabert, Hagen Wenzek, Carolina Malagelada, Angus J. M. Watson, Santi Seguí

Comput. Medical Imaging Graph., September, 2023

Self-supervised out-of-distribution detection in wireless capsule endoscopy images.

Arnau Quindós, Pablo Laiz, Jordi Vitrià, Santi Seguí

Artif. Intell. Medicine, September, 2023

Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets.

Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data.

Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy.

Pere Gilabert, Carolina Malagelada, Hagen Wenzek, Jordi Vitrià, Santi Seguí

Proceedings of the Artificial Intelligence Research and Development, 2023

Addressing Scale and Density Challenges in LiDAR Point Classification.

Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià

Proceedings of the Artificial Intelligence Research and Development, 2023

2022

Time-based self-supervised learning for Wireless Capsule Endoscopy.

Guillem Pascual, Pablo Laiz, Albert García, Hagen Wenzek, Jordi Vitrià, Santi Seguí

Comput. Biol. Medicine, 2022

Time-coherent embeddings for Wireless Capsule Endoscopy.

Guillem Pascual, Jordi Vitrià, Santi Seguí

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Object Segmentation of Cluttered Airborne LiDAR Point Clouds.

Mariona Carós, Ariadna Just, Santi Seguí, Jordi Vitrià

Proceedings of the Artificial Intelligence Research and Development, 2022

2021

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

Víctor M. Campello, Polyxeni Gkontra, Cristian Izquierdo, Carlos Martín-Isla, Alireza Sojoudi, Peter M. Full, Klaus H. Maier-Hein, Yao Zhang, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir

IEEE Trans. Medical Imaging, 2021

Addressing the cold-start problem with a two-branch architecture for fair tweet recommendation.

Pere Gilabert, Santi Seguí

Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

ResNet.

Isabel Amaya-Rodriguez, Javier Civit-Masot, Francisco Luna-Perejon, Lourdes Duran-Lopez, Alexander Rakhlin, Sergey I. Nikolenko, Satoshi Kondo, Pablo Laiz, Jordi Vitrià, Santi Seguí, Patrick Brandao

Proceedings of the Computer-Aided Analysis of Gastrointestinal Videos, 2021

2020

WCE polyp detection with triplet based embeddings.

Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí

Comput. Medical Imaging Graph., 2020

Gradient Boosting and Language Model Ensemble for Tweet Recommendation.

Pere Gilabert, Santi Seguí

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

2019

Using the Triplet Loss for Domain Adaptation in WCE.

Pablo Laiz, Jordi Vitrià, Santi Seguí

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Uncertainty Gated Network for Land Cover Segmentation.

Guillem Pascual, Santi Seguí, Jordi Vitrià

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Introduction to Data Science - A Python Approach to Concepts, Techniques and Applications

Laura Igual, Santi Seguí

Undergraduate Topics in Computer Science, Springer, ISBN: 978-3-319-50017-1, 2017

Synthetic Data Generation for Deep Learning in Counting Pedestrians.

Hadi Keivan Ekbatani, Oriol Pujol, Santi Seguí

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

2016

Generic feature learning for wireless capsule endoscopy analysis.

Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià

Comput. Biol. Medicine, 2016

Deep Learning Features for Wireless Capsule Endoscopy Analysis.

Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016

2015

Motility bar: A new tool for motility analysis of endoluminal videos.

Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià

Comput. Biol. Medicine, 2015

Learning to count with deep object features.

Santi Seguí, Oriol Pujol, Jordi Vitrià

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014

Detection of Wrinkle Frames in Endoluminal Videos Using Betweenness Centrality Measures for Images.

Santi Seguí, Michal Drozdzal, Ekaterina Zaytseva, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià

IEEE J. Biomed. Health Informatics, 2014

Intestinal event segmentation for endoluminal video analysis.

Michal Drozdzal, Jordi Vitrià, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Petia Radeva

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

An Application for Efficient Error-Free Labeling of Medical Images.

Michal Drozdzal, Santi Seguí, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià

Proceedings of the Multimodal Interaction in Image and Video Applications, 2013

Bagged One-Class Classifiers in the Presence of Outliers.

Santi Seguí, Laura Igual, Jordi Vitrià

Int. J. Pattern Recognit. Artif. Intell., 2013

Adaptable image cuts for motility inspection using WCE.

Michal Drozdzal, Santi Seguí, Jordi Vitrià, Carolina Malagelada, Fernando Azpiroz, Petia Radeva

Comput. Medical Imaging Graph., 2013

A new image centrality descriptor for wrinkle frame detection in WCE videos.

Santi Seguí, Ekaterina Zaytseva, Michal Drozdzal, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià

Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

2012

Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy.

Santi Seguí, Michal Drozdzal, Fernando Vilariño, Carolina Malagelada, Fernando Azpiroz, Petia Radeva, Jordi Vitrià

IEEE Trans. Inf. Technol. Biomed., 2012

Active labeling: Application to wireless endoscopy analysis.

Petia Radeva, Michal Drozdzal, Santi Seguí, Laura Igual, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià

Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012

An Integrated Approach to Contextual Face Detection.

Santi Seguí, Michal Drozdzal, Petia Radeva, Jordi Vitrià

Proceedings of the ICPRAM 2012, 2012

Sketchable Histograms of Oriented Gradients for Object Detection.

Ekaterina Zaytseva, Santi Seguí, Jordi Vitrià

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012

2011

Interactive Labeling of WCE Images.

Michal Drozdzal, Santi Seguí, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva

Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

2010

Weighted Bagging for Graph Based One-Class Classifiers.

Santi Seguí, Laura Igual, Jordi Vitrià

Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

2008

A sparse Bayesian approach for joint feature selection and classifier learning.

Àgata Lapedriza, Santi Seguí, David Masip, Jordi Vitrià

Pattern Anal. Appl., 2008

Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy.

Santi Seguí, Laura Igual, Fernando Vilariño, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià

Proceedings of the Computer Vision Systems, 6th International Conference, 2008

2007

A Semi-supervised Learning Method for Motility Disease Diagnostic.

Santi Seguí, Laura Igual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià

Proceedings of the Progress in Pattern Recognition, 2007

Eigenmotion-Based Detection of Intestinal Contractions.

Laura Igual, Santi Seguí, Jordi Vitrià, Fernando Azpiroz, Petia Radeva

Proceedings of the Computer Analysis of Images and Patterns, 12th International Conference, 2007