FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound
Biometric Measurements

FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements

14 July 2021

Szymon Płotka

Arkadiusz Sitek

Tomasz Trzciñski

Papers citing "FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements"

7 / 7 papers shown

Title
Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models Markus Ditlev Sjøgren Olsen Jakob Ambsdorf Manxi Lin C. Taksøe-Vester M. B. S. Svendsen Anders Christensen Mads Nielsen M. Tolsgaard Aasa Feragen Paraskevas Pegios DiffM MedIm 26 0 0 07 Aug 2024
FUSQA: Fetal Ultrasound Segmentation Quality Assessment Sevim Cengiz Ibrahim Almakk Mohammad Yaqub 16 0 0 08 Mar 2023
Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries Carla Sendra-Balcells Víctor M. Campello J. Torrents-Barrena Yahya Ali Ahmed Mustafa Elattar ... E. Bonet E. Eixarch K. Mikolaj M. Tolsgaard Karim Lekadir 26 25 0 20 Sep 2022
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements Szymon Płotka Adam Klasa Aneta Lisowska Joanna Seliga-Siwecka M. Lipa Tomasz Trzciñski Arkadiusz Sitek 16 33 0 27 May 2022
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video Szymon Płotka Michal K. Grzeszczyk R. Brawura-Biskupski-Samaha P. Gutaj M. Lipa Tomasz Trzciñski Arkadiusz Sitek 3DH MedIm 9 16 0 19 May 2022
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis M. C. Fiorentino Francesca Pia Villani M. D. Cosmo Emanuele Frontoni S. Moccia 19 101 0 28 Jan 2022
POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection Tomasz Szczepañski Arkadiusz Sitek Tomasz Trzciñski Szymon Płotka 11 1 0 23 Jan 2022