Radiological images and machine learning: trends, perspectives, and prospects

27 March 2019

Papers citing "Radiological images and machine learning: trends, perspectives, and prospects"

6 / 6 papers shown

Title
BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images Wojciech Pra.zuch M. Socha A. Mrukwa Aleksandra Suwalska Agata Durawa ... E. Szurowska Pawel Bo.zek M. Marczyk W. Rzyman Joanna Polańska 16 0 0 18 Sep 2023
An Evaluation of Lightweight Deep Learning Techniques in Medical Imaging for High Precision COVID-19 Diagnostics Ogechukwu Ukwandu Hanan Hindy Elochukwu A. Ukwandu 54 22 0 30 May 2023
Active Informed Consent to Boost the Application of Machine Learning in Medicine Marco Gerardi Katarzyna Barud Marie-Catherine Wagner N. Forgó Francesca Fallucchi Noemi Scarpato F. Guadagni Fabio Massimo Zanzotto 36 0 0 27 Sep 2022
Multimodal Machine Learning in Precision Health Adrienne S. Kline Hanyin Wang Yikuan Li Saya Dennis M. Hutch Zhenxing Xu Fei Wang F. Cheng Yuan Luo 53 15 0 10 Apr 2022
Deep Learning in Medical Image Registration: A Review Yabo Fu Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 117 525 0 27 Dec 2019
Deep Learning in Medical Image Registration: A Survey Grant Haskins Uwe Krüger Pingkun Yan MedIm 111 598 0 05 Mar 2019