Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
This work presents the fabrication and characterization of a triple-layered biomimetic muscle consti...
As the main component of Brain-computer interface (BCI) technology, the classification algorithm bas...
Conventional histopathology involves expensive and labor-intensive processes that often consume tiss...
The treatment of patients with balance disorders is an urgent problem to be solved by the medical co...
Cardiovascular diseases (CVDs) are the leading cause of death, affecting the cardiac dynamics over t...
With the development of deep learning, almost all single-domain proteins can be predicted at experim...
Infrared and visible image fusion can generate a fusion image with clear texture and prominent goals...
We report the results of the "UM-TBM" and "Zheng" groups in CASP15 for protein monomer and complex s...
Deformable medical image registration plays an essential role in clinical diagnosis and treatment. H...
This paper proposes a method for accurate 3D posture sensing of the soft actuators, which could be a...
This article investigates the tracking control problem for a class of nonlinear multi-input-multi-ou...
Image denoising and classification are typically conducted separately and sequentially according to ...
This study presents an innovative end-to-end deep learning arrhythmia diagnosis model that aims to a...
The Area Under the ROC Curve (AUC) is a crucial metric for machine learning, which evaluates the ave...
Deep learning for change detection is one of the current hot topics in the field of remote sensing. ...
Current hardware limitations make it impossible to train convolutional neural networks on gigapixel ...
Meaning Representation parsing aims to represent a sentence as a structured, Directed, Acyclic Graph...
The advancement in the field of 3D integration circuit technology leads to new challenges for qualit...
Head motion artifacts in magnetic resonance imaging (MRI) are an important confounding factor concer...
Efficient and accurate distinction of histopathological subtype of lung cancer is quite critical for...
Advancements in high-throughput microscopy imaging have transformed cell analytics, enabling functio...