Lucia J. M. Kroft

According to our database, Lucia J. M. Kroft authored at least 5 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Using 3D point cloud and graph-based neural networks to improve the estimation of pulmonary function tests from chest CT.

Jingnan Jia, Bo Yu, Prerak Mody, Maarten K. Ninaber, Anne A. Schouffoer, Jeska K. De Vries-Bouwstra, Lucia J. M. Kroft, Marius Staring, Berend C. Stoel

Comput. Biol. Medicine, 2024

2023

Automatic Pulmonary Function Estimation From Chest CT Scans Using Deep Regression Neural Networks: The Relation Between Structure and Function in Systemic Sclerosis.

Jingnan Jia, Emiel R. Marges, Jeska K. De Vries-Bouwstra, Maarten K. Ninaber, Lucia J. M. Kroft, Anne A. Schouffoer, Marius Staring, Berend C. Stoel

IEEE Access, 2023

2022

Prediction of lung CT scores of systemic sclerosis by cascaded regression neural networks.

Jingnan Jia, Marius Staring, Irene Hernández-Girón, Lucia J. M. Kroft, Anne A. Schouffoer, Berend C. Stoel

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

2019

Linking Convolutional Neural Networks with Graph Convolutional Networks: Application in Pulmonary Artery-Vein Separation.

Zhiwei Zhai, Marius Staring, Xuhui Zhou, Qiuxia Xie, Xiaojuan Xiao, M. Els Bakker, Lucia J. M. Kroft, Boudewijn P. F. Lelieveldt, Gudula J. A. M. Boon, Frederikus A. Klok, Berend C. Stoel

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

2009

A Technique for Simulating the Effect of Dose Reduction on Image Quality in Digital Chest Radiography.

Wouter J. H. Veldkamp, Lucia J. M. Kroft, Jan Pieter A. van Delft, Jacob Geleijns

J. Digit. Imaging, 2009