Latest AI and machine learning research in transplantation for healthcare professionals.
PURPOSE: Segmenting organs in cone-beam CT (CBCT) images would allow to adapt the radiotherapy based...
Colorectal cancer (CRC) is one of the most fatal cancers of the digestive system. Although cancer st...
We evaluate the accuracy of an original hybrid segmentation pipeline, combining variational and deep...
Amphibious robots can undertake various tasks in terrestrial and aquatic environments for their supe...
This article investigates the reinforcement-learning (RL)-based disturbance rejection control for un...
Due to radiometric and geometric distortions between images, mismatches are inevitable. Thus, a mism...
This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by resi...
Organ segmentation is one of the most important step for various medical image analysis tasks. Recen...
Human leukocyte antigen (HLA) complex molecules play an essential role in immune interactions by pre...
Histocompatibility in solid-organ transplantation has a strong impact on long-term graft survival. A...
Attention mechanism, which is a means of determining which part of the forced data is emphasized, ha...
Protozoan parasites infect humans and many warm-blooded animals. Toxoplasma gondii, a major protozoa...
After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes)...
Sickle cell disease (SCD) is associated with multiple known complications and increased mortality. T...
The organ-on-a-chip (OoC) paves a way for biomedical applications ranging from preclinical to clinic...
Organ volume measurements are a key metric for managing ADPKD (the most common inherited renal disea...
BACKGROUND: Pelvic organ prolapse (POP) is greatly affecting the quality of life (QOL) of women. The...
Blood pressure (BP) is a basic determinant for organ blood flow supply. Insufficient blood supply wi...
PURPOSE: Modern endovascular hybrid operating rooms generate large amounts of medical images during ...