David Owen

According to our database, David Owen authored at least 14 papers between 2015 and 2024.

Collaborative distances:

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

2024

Hierarchical segmentation of surgical scenes in laparoscopy.

Pritesh Mehta, David Owen, Maria Grammatikopoulou, Lucy Culshaw, Karen Kerr, Danail Stoyanov, Imanol Luengo

Int. J. Comput. Assist. Radiol. Surg., July, 2024

A spatio-temporal network for video semantic segmentation in surgical videos.

Maria Grammatikopoulou, Ricardo Sanchez-Matilla, Felix J. S. Bragman, David Owen, Lucy Culshaw, Karen Kerr, Danail Stoyanov, Imanol Luengo

Int. J. Comput. Assist. Radiol. Surg., February, 2024

The rising costs of training frontier AI models.

Ben Cottier, Robi Rahman, Loredana Fattorini, Nestor Maslej, David Owen

CoRR, 2024

Algorithmic progress in language models.

Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman, Zifan Carl Guo, David Atkinson, Neil Thompson, Jaime Sevilla

CoRR, 2024

2023

Why is the Winner the Best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Automated identification of critical structures in laparoscopic cholecystectomy.

David Owen, Maria Grammatikopoulou, Imanol Luengo, Danail Stoyanov

Int. J. Comput. Assist. Radiol. Surg., 2022

2021

Detection of Critical Structures in Laparoscopic Cholecystectomy Using Label Relaxation and Self-supervision.

David Owen, Maria Grammatikopoulou, Imanol Luengo, Danail Stoyanov

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019

Detecting Reflections by Combining Semantic and Instance Segmentation.

David Owen, Ping-Lin Chang

CoRR, 2019

Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling.

Dimitra Flouri, David Owen, Rosalind Aughwane, Nada Mufti, Magdalena J. Sokolska, David Atkinson, Giles S. Kendall, Alan Bainbridge, Tom Vercauteren, Anna L. David, Sébastien Ourselin, Andrew Melbourne

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI.

David Owen, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images.

David Owen, Andrew Melbourne, Zach Eaton-Rosen, David Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data.

Andrew Melbourne, Nicolas Toussaint, David Owen, Ivor J. A. Simpson, Thanasis Anthopoulos, Enrico De Vita, David Atkinson, Sébastien Ourselin

Neuroinformatics, 2016

Optimisation of Arterial Spin Labelling Using Bayesian Experimental Design.

David Owen, Andrew Melbourne, David Thomas, Enrico De Vita, Jonathan D. Rohrer, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015

Measuring Cortical Neurite-Dispersion and Perfusion in Preterm-Born Adolescents Using Multi-modal MRI.

Andrew Melbourne, Zach Eaton-Rosen, David Owen, M. Jorge Cardoso, Joanne Beckmann, David Atkinson, Neil Marlow, Sébastien Ourselin

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015