Goal-conditioned reinforcement learning (RL) is an interesting extension...
Emerging neural reconstruction techniques based on tomography (e.g., NeR...
This paper provides a systematic review of emerging control techniques u...
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown...
Neural Radiance Field (NeRF) has widely received attention in Sparse-Vie...
Parallel imaging is a widely-used technique to accelerate magnetic reson...
Longitudinal fetal brain atlas is a powerful tool for understanding and
...
Fluorescence microscopy is a key driver to promote discoveries of biomed...
In the present work, we propose a Self-supervised COordinate Projection
...
High Resolution (HR) medical images provide rich anatomical structure de...
For collecting high-quality high-resolution (HR) MR image, we propose a ...
The surface roughness between the wheel and rail has a huge influence on...
Modern deep neural network models generally build upon heavy
over-parame...
Reverse Engineering(RE) has been a fundamental task in software engineer...
3D content creation is referred to as one of the most fundamental tasks ...
Software testing is an expensive and important task. Plenty of researche...
Some recent works revealed that deep neural networks (DNNs) are vulnerab...
Poisoning attack is identified as a severe security threat to machine
le...
IBM TrueNorth chip uses digital spikes to perform neuromorphic computing...