research
∙
05/14/2021
One Network to Solve Them All: A Sequential Multi-Task Joint Learning Network Framework for MR Imaging Pipeline
Magnetic resonance imaging (MRI) acquisition, reconstruction, and segmen...
share
research
∙
03/24/2021
MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising
Lowering the radiation dose in computed tomography (CT) can greatly redu...
research
∙
02/16/2021
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Metal implants can heavily attenuate X-rays in computed tomography (CT) ...
research
∙
11/19/2020
Robot Gaining Accurate Pouring Skills through Self-Supervised Learning and Generalization
Pouring is one of the most commonly executed tasks in humans' daily live...
research
∙
10/27/2020
CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels
Current mainstream of CT reconstruction methods based on deep learning u...
research
∙
10/01/2019
Manipulation Motion Taxonomy and Coding for Robots
This paper introduces a taxonomy of manipulations as seen especially in ...
research
∙
06/21/2019
Accurate Robotic Pouring for Serving Drinks
Pouring is the second most frequently executed motion in cooking scenari...
research
∙
02/05/2019
Functional Object-Oriented Network for Manipulation Learning
This paper presents a novel structured knowledge representation called t...
research
∙
07/02/2018