Santi Seguí
santi.segui@ub.edu
Short Bio
Santi Seguí is an Associate Professor at the Department of Mathematics and Informatics, Universitat de Barcelona. He received the degree in Computer Science from the Universitat Autonoma de Barcelona (2006) and the Ph.D. in Computer Science from the Universitat de Barcelona in 2011 with a rating of excellent Cum Laude. Since 2017, he is an Associate Professor at the University of Barcelona. Previously, Postdoc Researcher at Computer Vision Center (2011-13), Lecturer at University of Barcelona (2012-17). During this period, he had done two postdoctoral stays at the University of Toronto (2014 and 2017) under the supervision of Dr. Sven Dickinson and one at Carnegie Mellon University (2011) under the supervision of Dr. Fernando De la Torre.
Research
His research is a researcher in machine learning and data science with special emphasis on recommender systems and addressing the challenges of limited and scarce data. He participated in more than 15 national and European competitive projects, in the fields of computer vision, medical image analysis, and recommender systems.
Awarded with the 2n position in the Academic Leaderboard from ACM RecSys Challenge 2021 and gold Medal in the category of 'layout Tester' challenge organized by Pascal Challenge 2010. He has been part of the scientific program committee in several national and international conferences and workshops, and he is a reviewer in several journals and conferences with international impact.
Co-director of one of the 38 winning projects of the Artificial Intelligence in Health & Care NHS Award 2021 (UK): Detecting bowel cancer – using AI to analyse video recordings of the gastrointestinal tract, taken from a swallowable camera, to target bowel cancer and other gastrointestinal diseases.
Teaching
- Courses:
- Machine Learning: Computer Science Engineering Degree.
- Advanced Algorithms: Computer Science Engineering Degree.
- Recommender Systems Master on Foundations of Data Science.
- Data Science Course. Postgraduate
- Present PhD Student
- Mariona Carós, Industrial PhD Student, ICGC/Universitat de Barcelona. Deep Learning and LIDAR. Co-direction with J.Vitrià (UB).
- Pere Gilabert, PhD Student.
- Past PhD Student
- Guillem Pascual, Co-direction with J. Vitrià (UB). Engineering Team Lead at Guardsquare.
- Pablo Laiz Co-direction with J. Vitrià (UB). Lead AI Software Engineer | GI Digital, Inc.
- Victor Campello, Co-direction with K. Lekadir (UB). Postdoc at University of Barcelona
Management
Head of the postgraduate course on Data Science and Machine Learning at the University of Barcelona.
Selected publications
-
Self-supervised out-of-distribution detection in wireless capsule endoscopy images (2023)
A Quindós, P Laiz, J Vitrià, S Seguí. Artificial Intelligence in Medicine, 102606. -
Anatomical landmarks localization for capsule endoscopy studies (2023)
P Laiz, J Vitrià, P Gilabert, H Wenzek, C Malagelada, A Watson, S Seguí. Computerized Medical Imaging and Graphics. -
Clinicians’ Guide to Artificial Intelligence in Colon Capsule Endoscopy—Technology Made Simple (2023)
Ian I Lei, Gohar J Nia, Elizabeth White, Hagen Wenzek, Santi Segui, Angus JM Watson, Anastasios Koulaouzidis, Ramesh P Arasaradnam. Diagnostics. -
Artificial intelligence for vascular lesions (2023)
P Gilabert, P Laiz, S Seguí. Artificial Intelligence in Capsule Endoscopy, 149-162 (BOOK CHAPTER). -
Artificial intelligence for protruding lesions (2023)
X Dray, A Histace, A Robertson, S Segui. Artificial Intelligence in Capsule Endoscopy, 121-148 (BOOK CHAPTER). -
Time-based self-supervised learning for Wireless Capsule Endoscopy (2022)
G Pascual, P Laiz, A García, H Wenzek, J Vitrià, S Seguí. Computers in Biology and Medicine, 105631. -
Artificial intelligence to improve polyp detection and screening time in colon capsule endoscopy (2022)
P Gilabert, J Vitrià, P Laiz, C Malagelada, A Watson, H Wenzek, S Seguí. Frontiers in Medicine. -
Key research questions for implementation of artificial intelligence in capsule endoscopy (2022)
Romain Leenhardt, et.al. Therapeutic Advances in Gastroenterology. -
Improving CCE video review time with a model based on frame similarity (2022)
P Gilabert, S Seguí. Medical Imaging with Deep Learning (MIDL 2022). -
Artificial intelligence for the detection of polyps or cancer with colon capsule endoscopy (2022)
AR Robertson, S Segui, H Wenzek, A Koulaouzidis. Therapeutic Advances in Gastrointestinal Endoscopy. -
Sequential Models for Endoluminal Image Classification (2021)
Joana Reuss, Guillem Pascual, Hagen Wenzek, Santi Seguí. Diagnostics 2022, 12(2), 501. -
WCE polyp detection with triplet based embeddings (2020)
Pablo Laiz, Jordi Vitrià, Hagen Wenzek, Carolina Malagelada, Fernando Azpiroz, Santi Seguí. Computerized Medical Imaging and Graphics. Vol 89. -
Using the triplet loss for domain adaptation in WCE (2019)
P Laiz, J Vitria, S Seguí. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2019 Workshops. -
Learning to count with deep object features (2015)
S Seguí, O Pujol, J Vitria. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 Workshops.