Latest AI and machine learning research in transplantation for healthcare professionals.
Accurate multi-organ segmentation in abdominal CT scans is essential for computer-aided diagnosis an...
Recent advancements in Gaussian Splatting (3DGS) have introduced various modifications to the origin...
Conventional pixel-wise loss functions fail to enforce topological constraints in coronary vessel se...
Current neuroscience is shifting from simple controlled paradigms towards rich and ecologically vali...
Motivation: Encoding antibodies (Abs) and nanobodies (Nbs) as mRNA enables in vivo production of the...
Harmonization methods such as ComBat and its variants are widely used to mitigate diffusion MRI (dMR...
Glycosyltransferases (GTs) are a large family of enzymes that catalyze the formation of glycosidic l...
Machine learning approaches are increasingly applied to high-dimensional biological data in which fe...
While aging manifests differently across organs and individuals, existing approaches to measure it l...
Current deep learning-based object detection for Synthetic Aperture Radar (SAR) imagery mainly adopt...
Novel view synthesis requires strong 3D geometric consistency and the ability to generate visually c...
Combination pharmacotherapy offers substantial therapeutic advantages but also poses substantial ris...
Neural Radiance Fields (NeRF) have shown remarkable success in image novel view synthesis (NVS), ins...
The single-cell assay for transposase-accessible chromatin using sequencing (scATAC-seq) has emerged...
Gaussian splatting has emerged as a competitive explicit representation for image and video reconstr...
The T cell's ability to discern self and non-self depends on its T cell receptor (TCR), which recogn...
Vision-language pretraining has driven significant progress in medical image analysis. However, curr...
We report the discovery and extraction of a compact hematopoietic algorithm from the single-cell fou...
Infertility generates profound psychological and social distress for both women and men, yet mens co...
Vision-language pretraining has driven significant progress in medical image analysis. However, curr...
Dataset condensation (DC) learns a compact synthetic dataset that enables models to match the perfor...