7.7k citations
- Universidade de BrasíliaBR10 papers
- Guangzhou UniversityCN9 papers
- Lincoln University - PennsylvaniaUS9 papers
- École Polytechnique Fédérale de LausanneCH7 papers
- Sobolev Institute of MathematicsRU7 papers
- University of CambridgeGB7 papers
- University of OxfordGB7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Technische Universität DarmstadtDE6 papers
- The University of TokyoJP6 papers
- University of GlasgowGB6 papers
- University of LeedsGB6 papers
24 papers · 1 filter
A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations
Hamidreza Hashempour, Kiyanoush Nazari, Fangxun Zhong +1
Many robotic tasks are still teleoperated since automating them is very time consuming and expensive. Robot Learning from Demonstrations (RLfD) can reduce programming time and cost…
DR-Unet104 for Multimodal MRI brain tumor segmentation
Jordan Colman, Lei Zhang, Wenting Duan +1
In this paper we propose a 2D deep residual Unet with 104 convolutional layers (DR-Unet104) for lesion segmentation in brain MRIs. We make multiple additions to the Unet architectu…
On finite groups with an automorphism of prime order whose fixed points have bounded Engel sinks
E. I. Khukhro, P. Shumyatsky
A left Engel sink of an element of a group is a set such that for every all sufficiently long commutators belong to ${\…
The average element order and the number of conjugacy classes of finite groups
E. I. Khukhro, A. Moretó, M. Zarrin
Let be the average order of the elements of , where is a finite group. We show that there is no polynomial lower bound for in terms of , where $N\triangl…
Brain volume: An important determinant of functional outcome after acute ischemic stroke
Markus D. Schirmer, Kathleen L. Donahue, Marco J. Nardin +38
Objective: To determine whether brain volume is associated with functional outcome after acute ischemic stroke (AIS). Methods: We analyzed cross-sectional data of the multi-site, i…
Modelling Drosophila Motion Vision Pathways for Decoding the Direction of Translating Objects Against Cluttered Moving Backgrounds
Qinbing Fu, Shigang Yue
Decoding the direction of translating objects in front of cluttered moving backgrounds, accurately and efficiently, is still a challenging problem. In nature, lightweight and low-p…