Search Results for author: Siyuan Dong

Found 12 papers, 5 papers with code

Preserved Edge Convolutional Neural Network for Sensitivity Enhancement of Deuterium Metabolic Imaging (DMI)

no code implementations8 Sep 2023 Siyuan Dong, Henk M. De Feyter, Monique A. Thomas, Robin A. de Graaf, James S. Duncan

The proposed processing method, PReserved Edge ConvolutIonal neural network for Sensitivity Enhanced DMI (PRECISE-DMI), was applied to simulation studies and in vivo experiments to evaluate the anticipated improvements in SNR and investigate the potential for inaccuracies.

Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing

1 code implementation17 Oct 2022 Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam

In experiments, we find that Neural Contact Fields are able to localize multiple contact patches without making any assumptions about the geometry of the contact, and capture contact/no-contact transitions for known categories of objects with unseen shapes in unseen environment configurations.

Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness

no code implementations17 Jun 2022 Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Karl Rössler, Siegfried Trattnig, Chenyu You, Robin de Graaf, John Onofrey, James Duncan

Magnetic Resonance Spectroscopic Imaging (MRSI) is a valuable tool for studying metabolic activities in the human body, but the current applications are limited to low spatial resolutions.


Invertible Sharpening Network for MRI Reconstruction Enhancement

no code implementations6 Jun 2022 Siyuan Dong, Eric Z. Chen, Lin Zhao, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun

During inference, the learned blurring transform can be inverted to a sharpening transform leveraging the network's invertibility.

MRI Reconstruction SSIM

Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation

no code implementations3 Jun 2022 Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John Onofrey, Lawrence Staib, James S. Duncan

Many medical datasets have recently been created for medical image segmentation tasks, and it is natural to question whether we can use them to sequentially train a single model that (1) performs better on all these datasets, and (2) generalizes well and transfers better to the unknown target site domain.

Image Segmentation Incremental Learning +4

Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning

no code implementations31 Mar 2022 Leszek Pecyna, Siyuan Dong, Shan Luo

It will be problematic to use a single sensory input to track the behaviour of such objects: vision can be subjected to occlusions, whereas tactile inputs cannot capture the global information that is useful for the task.

reinforcement-learning Reinforcement Learning (RL)

Tactile Dexterity: Manipulation Primitives with Tactile Feedback

no code implementations8 Feb 2020 Francois R. Hogan, Jose Ballester, Siyuan Dong, Alberto Rodriguez

This paper develops closed-loop tactile controllers for dexterous manipulation with dual-arm robotic palms.

Robotics Systems and Control Systems and Control

Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip

1 code implementation31 Oct 2018 Siyuan Dong, Daolin Ma, Elliott Donlon, Alberto Rodriguez

The output is a dense slip field which we use to detect when small areas of the contact patch start to slip (incipient slip).


Slip Detection with Combined Tactile and Visual Information

2 code implementations27 Feb 2018 Jianhua Li, Siyuan Dong, Edward Adelson

Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community.


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