Sean Benson

According to our database, Sean Benson authored at least 5 papers between 2016 and 2022.

Collaborative distances:

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

2022

CNN-based tumor progression prediction after thermal ablation with CT imaging.

Marjaneh Taghavi, Monique Maas, Femke C. R. Staal, Regina G. H. Beets-Tan, Sean Benson

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2021

An improved automatic system for aiding the detection of colon polyps using deep learning.

Lishan Cai, Regina Beets-Tan, Sean Benson

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2019

Design and performance of the LHCb trigger and full real-time reconstruction in Run 2 of the LHC

Roel Aaij, Michael Alexander Alejandro, Alfonso Albero, Silvia Amerio, Lucio Anderlini, Alexander Baranov, Sean Benson, Dana Bobulska, Thomas Boettcher, Silvia Borghi, Loic Brarda, Christopher Burr, Marco Cattaneo, Mohamed Chebbi, Maximilien Chefdeville, Stefan-Gabriel Chitic, Marco Clemencic, Joel Closier, Benjamin Couturier, Mohammed Daoudi, Michel de Cian, Francesco Dettori, Lauren Douglas, Karlis Dreimanis, Giulio Dujany, Paolo Durante, Agnieszka Dziurda, Conor Fitzpatrick, Markus Frank, Clara Gaspar, Philippe Ghez, Vladimir Gligorov, Ekaterina Govorkova, Luis Alberto, Granado Cardoso, Lucia Grillo, Jibo He, Donal Hill, Wenhua Hu, Wouter Hulsbergen, Philip Ilten, Daniel Johnson, Christopher Jones, Beat Jost, Patrick Koppenburg, Michal Kreps, Jean François Marchand, Umberto Marconi, Carla Marin Benito, Diego Martinez Santos, Emanuele Michielin, Marie-Noelle Minard, Hristo Mohamed, Michael Joseph Morello, Niko Neufeld, Francesco Polci, Jessica Prisciandaro, Albert Puig Navarro, Miguel Ramos Pernas, Gerhard Raven, Vicente Rives Molina, Gediminas Sarpis, Francesco Sborzacchi, Manuel Schiller, Rainer Schwemmer, Barbara Sciascia, Mark Smith, Patrick Spradlin, Sascha Stahl, Simone Stracka, Maciej Pawel Szymanski, Murdo Traill, Sebastien Valat, Ricardo Vazquez Gomez, Mika Vesterinen, Balazs Voneki, Constantin Weisser, Mike Williams, Mariusz Witek, Zhiyu Xiang, Zhirui Xu, Hang Yin, Yixiong Zhou

JINST, March, 2019

NNDrone: A toolkit for the mass application of machine learning in High Energy Physics.

Sean Benson, Konstantin Gizdov

Comput. Phys. Commun., 2019

2016

Tesla: An application for real-time data analysis in High Energy Physics.

R. Aaij, S. Amato, L. Anderlini, Sean Benson, Marco Cattaneo, Marco Clemencic, Ben Couturier, M. Frank, Vladimir V. Gligorov, Tim Head, Chris Jones, I. Komarov, Oliver Lupton, R. Matev, G. Raven, Barbara Sciascia, T. Skwarnicki, P. Spradlin, S. Stahl, Barbara Storaci, Mika Vesterinen

Comput. Phys. Commun., 2016