Latest AI and machine learning research in psoriasis for healthcare professionals.
A cornerstone of theoretical neuroscience is the circuit model: a system of equations that captures ...
This study aimed to establish a predictive model to identify children with hematologic malignancy at...
DGAT1 plays a crucial controlling role in triglyceride biosynthetic pathways, which makes it an attr...
In civil engineering, different machine learning algorithms have been adopted to process the huge am...
Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from ...
Accurate computation of joint angles from optical marker data using inverse kinematics methods requi...
Predicting in vivo protein-DNA binding sites is a challenging but pressing task in a variety of fiel...
Precise determination and assessment of bladder cancer (BC) extent of muscle invasion involvement gu...
Accurate segmentation and partitioning of lesions in PET images provide computer-aided procedures an...
BACKGROUND AND OBJECTIVE: Some types of cancer cause rapid cell growth, while others cause cells to ...
Studies on the deformation characteristics and stress distribution in loaded skeletal muscles are of...
Ultrasonic guided waves (UGWs) propagating in the long cortical bone can be measured via the axial t...
Monitoring skin layers with medical imaging is critical to diagnosing and treating patients with chr...
During the COVID-19 pandemic, dermatologists reported an array of different cutaneous manifestations...
OBJECTIVE: Medical electrical impedance tomography is a non-ionizing imaging modality in which low-a...
This paper introduces inverse ontology cogency, a concept recognition process and distance function ...
This paper proposes a proximal neurodynamic model (PNDM) for solving inverse mixed variational inequ...
Recently, with the significant developments in deep learning techniques, solving underdetermined inv...
Branching in vascular networks and in overall organismic form is one of the most common and ancient ...
Helical CT has been widely used in clinical diagnosis. In this work, we focus on a new prototype of ...
We developed a fluence map prediction method that directly generates fluence maps for a given desire...