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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...
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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...
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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) ...
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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...
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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...
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10/01/2019
Manipulation Motion Taxonomy and Coding for Robots
This paper introduces a taxonomy of manipulations as seen especially in ...
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06/21/2019
Accurate Robotic Pouring for Serving Drinks
Pouring is the second most frequently executed motion in cooking scenari...
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02/05/2019
Functional Object-Oriented Network for Manipulation Learning
This paper presents a novel structured knowledge representation called t...
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07/02/2018
