Latest AI and machine learning research in transplantation for healthcare professionals.
Many identity systems assign a single, static identifier to an individual for life, reused across ...
Diffusion models often exhibit inconsistent sample quality due to stochastic variations inherent i...
While pre-trained multimodal representations (e.g., CLIP) have shown impressive capabilities, they...
We present Surf2CT, a novel cascaded flow matching framework that synthesizes full 3D computed tom...
We present Surf2CT, a novel cascaded flow matching framework that synthesizes full 3D computed tom...
We propose a cascaded 3D diffusion model framework to synthesize high-fidelity 3D PET/CT volumes d...
We present PacTure, a novel framework for generating physically-based rendering (PBR) material tex...
Data augmentation has been demonstrated to improve the classification accuracy of deep learning mode...
Liver transplant recipients (LTRs) are at risk of graft injury, leading to cirrhosis and reduced sur...
Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy ...
Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays ...
Patients with metabolic dysfunction-associated steatotic liver disease (MASLD) are more susceptible ...
Accurate identification of acute cellular rejection (ACR) in endomyocardial biopsies is essential ...
Kidney renal clear cell carcinoma (KIRC), a cancer characterized by substantial immune infiltration,...
This paper introduces a proof calculus for real-analytic differential-algebraic dynamic logic, ena...
3D medical image segmentation is vital for clinical diagnosis and treatment but is challenged by h...
Medical image segmentation, particularly in multi-domain scenarios, requires precise preservation ...
We aim to develop a robust yet flexible visual foundation model for Earth observation. It should p...
We aim to develop a robust yet flexible visual foundation model for Earth observation. It should p...
In real-world scenarios, pixel-level labeling is not always available. Sometimes, we need a semant...
Medical image classification is critical for clinical decision-making, yet demands for accuracy, i...