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Found 12 papers, 5 papers with code
Preserved Edge Convolutional Neural Network for Sensitivity Enhancement of Deuterium Metabolic Imaging (DMI)
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
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.
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging
Specifically, we propose a flow-based enhancer network to improve the visual quality of super-resolution MRSI.
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness
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
During inference, the learned blurring transform can be inverted to a sharpening transform leveraging the network's invertibility.
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation
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.
Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning
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.
Class-Aware Adversarial Transformers for Medical Image Segmentation
In this work, we present CASTformer, a novel type of adversarial transformers, for 2D medical image segmentation.
Tactile Dexterity: Manipulation Primitives with Tactile Feedback
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
The output is a dense slip field which we use to detect when small areas of the contact patch start to slip (incipient slip).
Robotics
Slip Detection with Combined Tactile and Visual Information
Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community.
Robotics
Connecting Look and Feel: Associating the visual and tactile properties of physical materials
A thin flexible fabric, when draped, tends to look different from a heavy stiff fabric.
