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09/06/2022
Multi-task Swin Transformer for Motion Artifacts Classification and Cardiac Magnetic Resonance Image Segmentation
Cardiac Magnetic Resonance Imaging is commonly used for the assessment o...
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07/30/2022
Virtual Reality Simulator for Fetoscopic Spina Bifida Repair Surgery
Spina Bifida (SB) is a birth defect developed during the early stage of ...
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05/27/2022
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements
Objective. This work investigates the use of deep convolutional neural n...
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05/19/2022
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video
Predicting fetal weight at birth is an important aspect of perinatal car...
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04/11/2022
CXR-FL: Deep Learning-based Chest X-ray Image Analysis Using Federated Learning
Federated learning enables building a shared model from multicentre data...
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01/23/2022
POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection
A critical step in the fight against COVID-19, which continues to have a...
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07/14/2021
FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements
In this paper, we propose an end-to-end multi-task neural network called...
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04/18/2021
Convolutional Neural Networks in Orthodontics: a review
Convolutional neural networks (CNNs) are used in many areas of computer ...
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08/16/2020
Spontaneous preterm birth prediction using convolutional neural networks
An estimated 15 million babies are born too early every year. Approximat...
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08/24/2019
