Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

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GarmageNet: A Dataset and Scalable Representation for Generic Garment Modeling

High-fidelity garment modeling remains challenging due to the lack of large-scale, high-quality da...

Versatile silicon integrated photonic processor: a reconfigurable solution for netx-generation AI clusters

The Artificial Intelligence models pose serious challenges in intensive computing and high-bandwid...

Leveraging Artificial Intelligence to Assess Perceived Age and Donor Facial Resemblance After Face Transplantation.

PURPOSE: A major concern for patients undergoing facial transplantation relates to postoperative app...

Apr 2025 40117511
A Neural Network Finite Element Trileaflet Heart Valve Model Incorporating Multi-Body Contact.

The use of patient-specific computational modeling of cardiovascular diseases has become increasingl...

Apr 2025 40210840
Utilizing Machine Learning to Predict Liver Allograft Fibrosis by Leveraging Clinical and Imaging Data.

BACKGROUND AND AIM: Liver transplant (LT) recipients may succumb to graft-related pathologies, contr...

Apr 2025 40245174
Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute

Recent advancements in software engineering agents have demonstrated promising capabilities in aut...

Internal Organ Localization Using Depth Images

Automated patient positioning is a crucial step in streamlining MRI workflows and enhancing patien...

uHAF: a unified hierarchical annotation framework for cell type standardization and harmonization.

SUMMARY: In single-cell transcriptomics, inconsistent cell type annotations due to varied naming con...

Mar 2025 40172934
Neural Identification of Feedback-Stabilized Nonlinear Systems

Neural networks have demonstrated remarkable success in modeling nonlinear dynamical systems. Howe...

MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasets

Multi-organ segmentation holds paramount significance in many clinical tasks. In practice, compare...

Hybrid Time-Domain Behavior Model Based on Neural Differential Equations and RNNs

Nonlinear dynamics system identification is crucial for circuit emulation. Traditional continuous-...

Divide to Conquer: A Field Decomposition Approach for Multi-Organ Whole-Body CT Image Registration

Image registration is an essential technique for the analysis of Computed Tomography (CT) images i...

Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks

Recent advances in deep thinking models have demonstrated remarkable reasoning capabilities on mat...

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics

The exponential expansion of real-time data streams across multiple domains needs the development ...

Online Reasoning Video Segmentation with Just-in-Time Digital Twins

Reasoning segmentation (RS) aims to identify and segment objects of interest based on implicit tex...

Semi-supervised learning for marine anomaly detection on board satellites

Aquatic bodies face numerous environmental threats caused by several marine anomalies. Marine debr...

The Greatest Good Benchmark: Measuring LLMs' Alignment with Utilitarian Moral Dilemmas

The question of how to make decisions that maximise the well-being of all persons is very relevant...

Compositional Caching for Training-free Open-vocabulary Attribute Detection

Attribute detection is crucial for many computer vision tasks, as it enables systems to describe p...

An End-to-End GSM/SMS Encrypted Approach for Smartphone Employing Advanced Encryption Standard(AES)

Encryption is crucial for securing sensitive data during transmission over networks. Various encry...

EvAnimate: Event-conditioned Image-to-Video Generation for Human Animation

Conditional human animation transforms a static reference image into a dynamic sequence by applyin...

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