Eigenmotion-Based Detection of Intestinal Contractions. - Laura Igual; Santi Seguí; Jordi Vitrià; Fernando Azpiroz; Petia Radeva (CAIP, 2007)

A Semi-supervised Learning Method for Motility Disease Diagnostic. - Santi Seguí; Laura Igual; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitrià (CIARP, 2007)

Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy. - Santi Seguí; Laura Igual; Fernando Vilariño; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitrià (ICVS, 2008)

A sparse Bayesian approach for joint feature selection and classifier learning. - Àgata Lapedriza; Santi Seguí; David Masip; Jordi Vitrià (Pattern Anal. Appl., 2008)

Weighted Bagging for Graph Based One-Class Classifiers. - Santi Seguí; Laura Igual; Jordi Vitrià (MCS, 2010)

Interactive Labeling of WCE Images. - Michal Drozdzal; Santi Seguí; Carolina Malagelada; Fernando Azpiroz; Jordi Vitrià; Petia Radeva (IbPRIA, 2011)

Sketchable Histograms of Oriented Gradients for Object Detection. - Ekaterina Zaytseva; Santi Seguí; Jordi Vitrià (CIARP, 2012)

An Integrated Approach to Contextual Face Detection. - Santi Seguí; Michal Drozdzal; Petia Radeva; Jordi Vitrià (ICPRAM (2), 2012)

Active labeling: Application to wireless endoscopy analysis. - Petia Radeva; Michal Drozdzal; Santi Seguí; Laura Igual; Carolina Malagelada; Fernando Azpiroz; Jordi Vitrià (HPCS, 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)

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 (MVA, 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)

Bagged One-Class Classifiers in the Presence of Outliers. - Santi Seguí; Laura Igual; Jordi Vitrià (Int. J. Pattern Recognit. Artif. Intell., 2013)

An Application for Efficient Error-Free Labeling of Medical Images. - Michal Drozdzal; Santi Seguí; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitrià (Multimodal Interaction in Image and Video Applications, 2013)

Intestinal event segmentation for endoluminal video analysis. - Michal Drozdzal; Jordi Vitrià; Santi Seguí; Carolina Malagelada; Fernando Azpiroz; Petia Radeva (ICIP, 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)

Learning to count with deep object features. - Santi Seguí; Oriol Pujol; Jordi Vitrià (CVPR Workshops, 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)

Deep Learning Features for Wireless Capsule Endoscopy Analysis. - Santi Seguí; Michal Drozdzal; Guillem Pascual; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitrià (CIARP, 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)

Synthetic Data Generation for Deep Learning in Counting Pedestrians. - Hadi Keivan Ekbatani; Oriol Pujol; Santi Seguí (ICPRAM, 2017)

Introduction to Data Science - A Python Approach to Concepts, Techniques and Applications - Laura Igual; Santi Seguí (Springer, 2017)

Uncertainty Gated Network for Land Cover Segmentation. - Guillem Pascual; Santi Seguí; Jordi Vitrià (CVPR Workshops, 2018)

Using the Triplet Loss for Domain Adaptation in WCE. - Pablo Laiz; Jordi Vitrià; Santi Seguí (ICCV Workshops, 2019)

Gradient Boosting and Language Model Ensemble for Tweet Recommendation. - Pere Gilabert; Santi Seguí (RecSys Challenge, 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)

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 (Computer-Aided Analysis of Gastrointestinal Videos, 2021)

Addressing the cold-start problem with a two-branch architecture for fair tweet recommendation. - Pere Gilabert; Santi Seguí (RecSys Challenge, 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 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Object Segmentation of Cluttered Airborne LiDAR Point Clouds. - Mariona Carós; Ariadna Just; Santi Seguí; Jordi Vitrià (CCIA, 2022)

Time-coherent embeddings for Wireless Capsule Endoscopy. - Guillem Pascual; Jordi Vitrià; Santi Seguí (ICPR, 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)

Addressing Scale and Density Challenges in LiDAR Point Classification. - Mariona Carós; Ariadna Just; Santi Seguí; Jordi Vitrià (CCIA, 2023)

Automated Cleanliness Scoring and Digestive Content Segmentation for Capsule Endoscopy. - Pere Gilabert; Carolina Malagelada; Hagen Wenzek; Jordi Vitrià; Santi Seguí (CCIA, 2023)

Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data. - Mariona Carós; Ariadna Just; Santi Seguí; Jordi Vitrià (MVA, 2023)

Leveraging Embedding Information to Create Video Capsule Endoscopy Datasets. - Pere Gilabert; Carolina Malagelada; Hagen Wenzek; Jordi Vitrià; Santi Seguí (MVA, 2023)

Self-supervised out-of-distribution detection in wireless capsule endoscopy images. - Arnau Quindós; Pablo Laiz; Jordi Vitrià; Santi Seguí (Artif. Intell. Medicine, 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., 2023)

Introduction to Data Science - A Python Approach to Concepts, Techniques and Applications, Second Edition - Laura Igual; Santi Seguí (Springer, 2024)

Effective Training and Inference Strategies for Point Classification in LiDAR Scenes. - Mariona Carós; Ariadna Just; Santi Seguí; Jordi Vitrià (Remote. Sens., 2024)

Overcoming Diverse Undesired Effects in Recommender Systems: A Deontological Approach. - Paula Gómez Duran; Pere Gilabert; Santi Seguí; Jordi Vitrià (ACM Trans. Intell. Syst. Technol., 2024)