| Author |
Title |
Year |
Publication |
Volume |
Pages |
| Javier Vazquez; Graham D. Finlayson; Luis Herranz |
Improving the perception of low-light enhanced images |
2024 |
Optics Express |
32 |
5174-5190 |
| Beata Megyesi; Alicia Fornes; Nils Kopal; Benedek Lang |
Historical Cryptology |
2024 |
Learning and Experiencing Cryptography with CrypTool and SageMath |
|
|
| Mustafa Hajij; Mathilde Papillon; Florian Frantzen; Jens Agerberg; Ibrahem AlJabea; Ruben Ballester; Claudio Battiloro; Guillermo Bernardez; Tolga Birdal; Aiden Brent; Peter Chin; Sergio Escalera; Simone Fiorellino; Odin Hoff Gardaa; Gurusankar Gopalakrishnan; Devendra Govil; Josef Hoppe; Maneel Reddy Karri; Jude Khouja; Manuel Lecha; Neal Livesay; Jan Meibner; Soham Mukherjee; Alexander Nikitin; Theodore Papamarkou; Jaro Prilepok; Karthikeyan Natesan Ramamurthy; Paul Rosen; Aldo Guzman-Saenz; Alessandro Salatiello; Shreyas N. Samaga; Simone Scardapane; Michael T. Schaub; Luca Scofano; Indro Spinelli; Lev Telyatnikov; Quang Truong; Robin Walters; Maosheng Yang; Olga Zaghen; Ghada Zamzmi; Ali Zia; Nina Miolane |
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains |
2024 |
Arxiv |
|
|
| German Barquero; Sergio Escalera; Cristina Palmero |
Seamless Human Motion Composition with Blended Positional Encodings |
2024 |
Arxiv |
|
|
| Ayan Banerjee; Sanket Biswas; Josep Llados; Umapada Pal |
GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation |
2024 |
Arxiv |
|
|
| Tao Wu; Kai Wang; Chuanming Tang; Jianlin Zhang |
Diffusion-based network for unsupervised landmark detection |
2024 |
Knowledge-Based Systems |
292 |
111627 |
| Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva |
ROC curves and video analysis optimization in intestinal capsule endoscopy |
2006 |
Pattern Recognition Letters |
27 |
875–881 |
| Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions |
2006 |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention |
4191 |
161–168 |
| Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
Cascade analysis for intestinal contraction detection |
2006 |
20th International Congress and exhibition Computer Assisted Radiology and Surgery |
|
9-10 |
| Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy |
2006 |
18th International Conference on Pattern Recognition |
4 |
719-722 |
| Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions |
2006 |
11th Iberoamerican Congress on Pattern Recognition |
4225 |
178–187 |
| Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
A Machine Learning framework using SOMs: Applications in the Intestinal Motility Assessment |
2006 |
11th Iberoamerican Congress on Pattern Recognition |
4225 |
188–197 |
| Fernando Vilariño |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
2006 |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
|
|
| Santiago Segui; Laura Igual; Fernando Vilariño; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy |
2008 |
Computer Vision Systems. 6th International |
5008 |
251–260 |
| Fernando Vilariño; Panagiota Spyridonos; Fosca De Iorio; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions |
2010 |
IEEE Transactions on Medical Imaging |
29 |
246-259 |
