Transplantation

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

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Joint Feature Synthesis and Embedding: Adversarial Cross-Modal Retrieval Revisited.

Recently, generative adversarial network (GAN) has shown its strong ability on modeling data distrib...

Comprehensive Clinical Evaluation of a Deep Learning-Accelerated, Single-Breath-Hold Abdominal HASTE at 1.5 T and 3 T.

To evaluate the clinical performance of a deep learning-accelerated single-breath-hold half-Fourier ...

Supervised and semi-supervised 3D organ localisation in CT images combining reinforcement learning with imitation learning.

Computer aided diagnostics often requires analysis of a region of interest (ROI) within a radiology ...

Segmentation Performance Comparison Considering Regional Characteristics in Chest X-ray Using Deep Learning.

Chest radiography is one of the most widely used diagnostic methods in hospitals, but it is difficul...

Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.

BACKGROUND: Transplant nephropathology is a highly specialized field of pathology comprising both th...

Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.

BACKGROUND: Due to the advancement of medical imaging and computer technology, machine intelligence ...

Robot-Assisted Totally Endoscopic Mitral Valve Plasty and Coronary Artery Bypass Grafting.

We experienced 3 cases of port-access robot-assisted totally endoscopic technique for mitral valve r...

WalkIm: Compact image-based encoding for high-performance classification of biological sequences using simple tuning-free CNNs.

The classification of biological sequences is an open issue for a variety of data sets, such as vira...

Machine Learning-Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features.

Although ultrasound plays an important role in the diagnosis of chronic kidney disease (CKD), image ...

Robot-assisted sacrocolpopexy for recurrent pelvic organ prolapse: Insights for a challenging surgical setting.

BACKGROUND: No consensus exists regarding the management of recurrent pelvic organ prolapse (POP). T...

Characterization of the Impacts of Living at High Altitude in Taif: Oxidative Stress Biomarker Alterations and Immunohistochemical Changes.

At high elevations, the human body experiences a number of pathological, physiological, and biochemi...

3D-SLIP model based dynamic stability strategy for legged robots with impact disturbance rejection.

Inspired by biomechanical studies, the spring-loaded inverted pendulum model is an effective behavio...

Convolutional Prototype Network for Open Set Recognition.

Despite the success of convolutional neural network (CNN) in conventional closed-set recognition (CS...

Temporal shift and predictive performance of machine learning for heart transplant outcomes.

BACKGROUND: Outcome prediction following heart transplant is critical to explaining risks and benefi...

Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study.

BACKGROUND: There is a growing need for new improved classifiers of prognosis in hepatocellular carc...

Deep learning-enabled assessment of cardiac allograft rejection from endomyocardial biopsies.

Endomyocardial biopsy (EMB) screening represents the standard of care for detecting allograft reject...

Characteristics of Computed Tomography Images for Patients with Acute Liver Injury Caused by Sepsis under Deep Learning Algorithm.

This study was aimed at exploring the application of image segmentation based on full convolutional ...

A deep learning framework for real-time 3D model registration in robot-assisted laparoscopic surgery.

INTRODUCTION: The current study presents a deep learning framework to determine, in real-time, posit...

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