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Santi Seguí

Lecturer    |    Computer Vision    |   Machine Learning   |    santi.segui@ub.edu

ABOUT

Machine Learning Researcher / Associate Professor at the Department of Maths and Computer Science of the University of Barcelona.

Head of Data Science and Artificial Intelligence Course. Postgraduate


EDUCATION

Ph.D. in Computer Sciences
Universitat de Barcelona, Barcelona, Spain
Advisor: Dr. Jordi Vitrià.
Title: Contributions to the Diagnosis of Intestinal Motility by Automatic Image Analysis

July 2011

Master in Computer Science
Universitat Autònoma de Barcelona, Bellaterra, Spain
Advisor: Dr. Jordi Vitrià.

July 2007



WORK

Associate Professor
Universitat de Barcelona, Barcelona, Spain

December 2017 - CURRENT

Lecturer
Universitat de Barcelona, Barcelona, Spain

December 2012 - December 2017

Visiting Scientist
University of Toronto (UofT), Toronto, CAN
Advisor: Sven Dickinson.

September 2014 - December 2014

Visiting Scientist
Carnegie Mellon University (CMU), Pittsburgh, USA
Advisor: Fernando de la Torre.

January 2012 - Febraury 2012

Postdoctoral Researcher
Computer Vision Center, Bellaterra, ESP

July 2011 - December 2012

Assistant Professor
Universitat de Barcelona, Barcelona, ESP

September 2008 - December 2012



STUDENTS

Mariona Caros, Universitat de Barcelona, Barcelona

Pere Gilabert, Universitat de Barcelona, Barcelona

Víctor Campello, Universitat de Barcelona, Barcelona

Guillem Pascual, Universitat de Barcelona, Barcelona

Pablo Laíz, Universitat de Barcelona, Barcelona



BOOK

We have written a book entitled "Introduction to Data Science. A Python Approach to Concepts, Techniques and Applications". The book, with a large set of Jupyter notebooks , is the companion of a hands-on course on Data Science.

DataBeersBCN


JOURNAL PUBLICATIONS
You can find most of my articles on my Google Scholar profile.



M. Carós, A. Just, S. Seguí, J. Vitrià, Effective Training and Inference Strategies for Point Classification in LiDAR Scenes Remote Sensing (2024). PDF

P. Duran, P. Gilabert, S. Seguí, J. Vitrià, Overcoming diverse undesired effects in recommender systems: A deontological approach ACM Transactions on Intelligent Systems and Technology (2024). PDF

A. Quindos, P. Laiz , J. Vitrià, S. Seguí Self-supervised out-of-distribution detection in wireless capsule endoscopy images Artificial Intelligence in Medicine (2023). PDF

P. Laiz, J. Vitrià, P. Gilabert, H.Wenzek, C. Malagelada, AJM Watson, S. Seguí Anatomical landmarks localization for capsule endoscopy studies Computerized Medical Imaging and Graphics (2023). PDF

I, I Lei, G. J Nia, E. White, H. Wenzek, S. Seguí, AJM Watson, A. Koulaouzidis, R. P Arasaradnam Clinicians' guide to artificial intelligence in colon capsule endoscopy—technology made simple Diagnostics (2023). PDF

P Gilabert, J Vitrià, P Laiz, C Malagelada, A Watson, H Wenzek, S Seguí Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy Frontiers in Medicine (2022). PDF

G Pascual, P Laiz, A García, H Wenzek, J Vitrià, S Seguí Time-based self-supervised learning for Wireless Capsule Endoscopy Computers in Biology and Medicine (2022). PDF

S. Seguí, M. Drozdzal, G. Pascual, P. Radeva, C. Malagelada, F. Azpiroz, J. Vitrià, Generic Feature Learning for Wireless Capsule Endoscopy Analysis Computer in Biology and Medicine (2016). PDF

C. Malagelada, M. Drozdzal, S. Seguí, S. Mendez, J. Vitria, P. Radeva, J. Santos, A. Accarino, J.R Malagelada, F. AzpirozClassification of functional bowel disorders by objective physiological criteria based on endoluminal image analysis American Journal of Physiology-Gastrointestinal and Liver Physiology(2015). PDF

RA Bendezú, E. Barba, E. Burri, D. Cisternas, C. Malagelada, S. Segui, A. Accarino, S. Quiroga, E. Monclus, I. Navazo, J‐R Malagelada, F. Azpiroz Intestinal gas content and distribution in health and in patients with functional gut symptoms. Neurogastroenterology & Motility 27 (9), 1249-1257.PDF

M. Drozdzal, S. Seguí, P. Radeva, C. Malagelada, F. Azpiroz, J. Vitrià. Motility bar: a new tool for motility analysis of endoluminal videos. Computer in Biology and Medicine (2015). PDF

S. Seguí, M. Drozdzal, E. Zaytseva, C. Malagelada, F. Azpiroz, P. Radeva, J. Vitrià. Detection of wrinkle frames in endoluminal videos using betweenness centrality measures for images. IEEE Journal of Biomedical and Health Informatics (2014). PDF

S. Seguí, L. Igual, J. Vitrià. Bagged One Class Classifiers in the Presence of Outliers. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI) – (2013). PDF

S. Seguí, M. Drozdzal, F. Vilarino, C. Malagelada, F. Azpiroz, P. Radeva, J. Vitrià. Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy . IEEE Transactions on Information Technology in Biomedicine (2012). PDF

M. Drozdzal, S. Seguí, J. Vitrià, C. Malagelada, F. Azpiroz, P. Radeva. Adaptable image cuts for motility inspection using WCE. Computerized Medical Imaging and Graphics (2012). PDF

C. Malagelada, Fosca De Iorio, S.Seguí, S.Meso, M.Drozdzal, et.al. Functional Gut Disorders Or Disordered Gut Function? Small Bowel Dysmotility Evidenced By An Original Technique. Neurogastroenterology AND Motility (November 2011). PDF

C. Malagelada, Fosca De Iorio, Fernando Azpiroz, Anna Accarino, Santi Seguí, Petia Radeva, Juan–R. Malagelada. New Insight Into Intestinal Motor Function via Noninvasive Endoluminal Image Analysis. Gastroenterology, Volume 135, Issue 4, Pages 1155-1162 (October 2008). PDF

à. Lapedriza, S. Seguí, D. Masip, J. Vitrià. A Sparse Bayesian Approach for Joint Feature Selection And Classifier Learning. PATTERN ANALYSIS AND APPLICATIONS. (PAA Special Issue on: Non-parametric Distance-based Classification Techniques and their Applications). Volume 115, Issue 3-4 , Pages 299-308 (Septiembre 2008). PDF


CONFERENCE PUBLICATIONS

S. Seguí, O. Pujol, J. Vitrià. Deep learning features for wireless capsule endoscopy analysis. in:Iberoamerican Congress on Pattern Recognition 2016 . PDF

S. Seguí, O. Pujol, J. Vitrià. Learning to count with deep object features. in: Deep Vision 2015. CVPR workshops . PDF

M. Drozdzal, J. Vitria, S. Segui, C. Malagelada, F. Azpiroz, P. Radeva, Intestinal event segmentation for endoluminal video analysis. in: Image Processing, IEEE International Conference on, 2014. PDF

S.Seguí, M.Drozdzal, E.Zaytseva, C.Malagelada, F.Azpiroz, P.Radeva, J.Vitrià A new image centrality descriptor for wrinkle frame detection in WCE videos. 30th IAPR International Conference on Machine Vision Applications . Kyoto, Japan 2013. PDF

E.Zaytseva, S.Seguí, J.Vitrià SKETCHABLE HISTOGRAMS OF ORIENTED GRADIENTS FOR OBJECT DETECTION. 17th Iberomerican Conference on Pattern Recognition. Buenos Aires, Argentina. 2012. Lecture Notes Volume. 74 PDF

Radeva, M Drozdzal, S Segui, L Igual, C Malagelada, F Azpiroz, J Vitria . Active labeling: Application to wireless endoscopy analysis. International Conference on High Performance Computing and Simulation (HPCS), |07|2012. pp 174-181 PDF

Santi Seguí, Michal Drozdzal, Petia Radeva and Jordi Vitrià. AN INTEGRATED APPROACH TO CONTEXTUAL FACE DETECTION. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2011). PDF

Michal Drozdzal, Santi Seguí, C. Malagelada, Fernando Azpiroz, Jordi Vitrià, Petia Radeva. Interactive labeling of WCE images. Iberian Conference on Pattern Recognition and Image Analysis. |06|2011. pp 143-150 PDF

Santi Seguí, Laura Igual, Jordi Vitrià. Weighted Bagging for Graph based One-Class Classifiers. The 9th International Workshop on Multiple Classifier Systems (MCS 2010), Cairo (EGIPT) |04|2010, Lecture Notes in Computer Science 5997– pp. 1-10, 2010 PDF

L. Igual, J. Vitrià, F. Vilariño, S. Seguí, C. Malagelada, F. Azpiroz and P. Radeva. Automatic discrimination of duodenum in wireless capsule endoscopy video. 4th European Congress for Medical and Biomedical Engineering 2008. Antwerp (Belgium) PDF

Santi Seguí, Laura Igual, Fernando Vilariño, Petia Radeva, C. Malagelada, Fernando Azpiroz, Jordi Vitrià, Diagnostic System for Intestinal Motility Dysfunctions Using Video Capsule Endoscopy. 6th Internation Conference on Computer Vision Systems (ICVS 2008), Santorini (GREECE) |5| 2008. Lecture Notes In Computer Science 5008 – pp 251-260, 2008 PDF

Laura Igual, Santi Seguí, Jordi Vitrià, Fernando Azpiroz, Petia Radeva, Sparse Bayesian Feature Selection Applied to Intestinal Motility Analysis. XVI Congreso Argentino de Bioingenieria (SABI 2007),San Juan (ARGENTINA) |09|2007-09-23, Journal of Physics – Conferences Series (JPCS). PDF

Santi Seguí, Laura Igual, Petia Radeva, C. Malagelada, Fernando Azpiroz, Jordi Vitrià. A Semi-Supervised Learning Method for Motility Disease Diagnostic. The 12th Iberoamerican Congress on Pattern (CIARP 2007), Valparaiso (CHILE) |11|2007, Lecture Notes in Computer Science 4756 – pp. 773-782, 2007 PDF

Laura Igual, Santi Seguí, Jordi Vitrià, Fernando Azpiroz, Petia Radeva, Eigenmotion-Based Detection of Intestinal Contractions. The 12th International Conference on Computer Analysis of Images and Patterns (CAIP 2007), Vienna (AUSTRIA) |8| 2007. Lecture Notes in Computer Science 4673 – pp. 293-300, 200 PDF


PATENTS

SYSTEM AND METHOD FOR DISPLAYING MOTILITY EVEVNTS IN AN IN VIVO IMAGE STREAM. Inventors: Michal Drozdzal; Santi Seguí; Petia Radeva; Jordi Vitrià; Laura Igual; Carolina Malagelada; Fernando Azpiroz

SYSTEM AND METHOD FOR IMPROVING A DISCRIMINATIVE MODEL. Inventors: Michal Drozdzal, Petia Radeva, Jordi Vitrià, Fernando Azpiroz, Laura Igual, Santiago Seguí, Carolina Malagelada .

METHOD FOR AUTOMATIC CLASSIFICATION OF IN VIVO IMAGES . Inventors: Laura Igual, Jordi Vitrià, Fernando Vilariño, Santiago Seguí , Carolina Malagelada, Fernando Azpiroz, Petia Radeva . Patent Number; US2010046816-A1

SYSTEM AND METHOD FOR SYNCHRONIZING IMAGE SEQUENCES CAPTURED IN-VIVO FOR AUTOMATIC COMPARISON.Inventors: Michal Drozdzal, Petia Radeva, Jordi Vitrià, Fernando Azpiroz, Laura Igual, Santiago Seguí, Carolina Malagelada

SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF IN VIVO CONTRACTION VIDEO SEQUENCES. Inventors: Michal Drozdzal, Petia Radeva, Santiago Seguí, Laura Igual, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià. US Patent App. 20,100/046,816


MEDICAL CONFERENCES

Carolina Malagelada, Michal Drozdzal , Santi Seguí, Javier Santos, Juan R. Malagelada, Jordi Vitria, Petia Radeva, Fernando Azpiroz. Analysis of Endoluminal Images typifies Abnormal Intestinal Motor Behaviour in Patients with Function Bowel Disorders. United European Gastroenterology Week (UEGW). Berlin 2013

Carolina Malagelada, Santi Seguí, Michal Drozdzal, Sara Méndez Soriano,Anna Accarino, Javier Santos, Juan R. Malagelada, Jordi Vitria, Fernando Azpiroz. Distinctive Dysmotility Patterns Demonstrated by Computer Vision Analysis of Capsule Endoscopy Images in Patients With Functional Gut Disorders. DDW 2012 .Gastroenterology Vol. 142, Issue 5, Supplement 1, Pages S-825-S-826

C.Malagelada, F.De Iorio, S. Segui, S. Mendez, M. Drozdzal, J. Vitrià, R. Radeva, J. Santos, A. Accarino, J.R. Malagelada, F. Azpiroz.Alteración de la función motora en los trastornos intestinales funcionales. Semana de las Enfermedades Digestivas. Semana De Las Enfermedades Digestivas (DDW 2011). Madrid (SPAIN). Rev Esp Enferm Dig 2011; (supl 1).

C. Malagelada, F. De Iorio, F. Azpiroz, S. Segui, P. Radeva, A. Accarino, J. Santos, J.R. Malagelada. Intestinal Dysmotility In Patients With Functional Intestinal Disorders Demonstrated By Computer Vision Analysis Of Capsule Endoscopy Images. United European Gastroenterology Week. Barcelona (Spain) |10|2010. GUT 2010; 56 (SUPPL III): A19-20

C. Malagelada, F. De Iorio, F. Azpiroz, A. Accarino, S. Segui, P. Radeva, J.R. Malagelada. Detecció de l’absència d’activitat motora intestinal mitjançant un mètode automàtic i no invasiu. Congres de la Societat Catalana de Digestologia. Blanes, January 2009. Annals de Medicina 2009; 92 (supl1): S1-66

C. Malagelada, F. De Iorio, F. Azpiroz, A. Accarino, S. Segui, P. Radeva, J.R. Malagelada. Detección de la ausencia de actividad motora intestinal mediante un método automático y no invasivo. Semana de las Enfermedades Digestivas. Madrid, Junio 2009. Rev Esp Enferm Dig 2009; 101 (supl 1).

C. Malagelada, F. De Iorio, F. Azpiroz, A. Accarino, S. Segui, P. Radeva, J.R. Malagelada. Diagnóstico de los trastornos motores del intestino delgado mediante un nuevo método no invasivo y automatizado de análisis de las imágenes endoluminales. Semana de las Enfermedades Digestivas. Barcelona, Junio 2008. Rev Esp Enferm Dig 2008; 100 (supl 1).

C. Malagelada, F. de Iorio, F. Azpiroz, M. Maluenda, C. Volanti, S. Seguí, J. Vitrià, P. Radeva, A. Accarino, J-R Malagelada. Precise Diagnosis of Severe Small Bowel Dysmotility by a Novel, Non-invasisve and Fully Automated Endoluminal Image Method. United European Gastroenterology Week. Paris (France) |10|2007. Gut 2007; 56 (Suppl III): A337


TEACHING

Present:.

Machine Learning: Computer Science Engineering Degree.

Advanced Algorithmics: Computer Science Engineering Degree.

Past (2008-2022):.

Introduction to Programming

Data Structures

Software Development


ORGANIZATION

DataBeersBCN
Informal event to gather Data Science and Big Data community from all scientific/artistic areas to discuss about data, with a few beers.

DataBeersBCN


SKILLS

Computer Vision


Machine Learning


C++


Android


Python


Matlab



CONTACT

Email
santi.segui@ub.edu

Address
Gran Via de les Corts Catalanes,585.
Postal 08007. Barcelona, Spain.

Phone
Tel. +34 93 402 16 11

SOCIAL LINKS

schoolar

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