Adam Szmul

According to our database, Adam Szmul authored at least 9 papers between 2016 and 2025.

Collaborative distances:

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

2025

Review of multimodal machine learning approaches in healthcare.

Felix Krones, Umar Marikkar, Guy Parsons, Adam Szmul, Adam Mahdi

Inf. Fusion, 2025

2023

Simulation of a new respiratory phase sorting method for 4D-imaging using optical surface information towards precision radiotherapy.

Zhengkun Dong, Shutong Yu, Adam Szmul, Jingyuan Wang, Junfeng Qi, Hao Wu, Junyu Li, Zihong Lu, Yibao Zhang

Comput. Biol. Medicine, August, 2023

2022

Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis.

An Zhao, Ahmed H. Shahin, Yukun Zhou, Eyjolfur Gudmundsson, Adam Szmul, Nesrin Mogulkoc, Frouke Van Beek, Christopher Brereton, Hendrik W. Van Es, Katarina Pontoppidan, Recep Savas, Timothy Wallis, Omer Unat, Marcel Veltkamp, Mark G. Jones, Coline H. M. Van Moorsel, David Barber, Joseph Jacob, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2019

Patch-based lung ventilation estimation using multi-layer supervoxels.

Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez

Comput. Medical Imaging Graph., 2019

2018

Regional lung ventilation estimation based on supervoxel tracking.

Adam Szmul, Bartlomiej W. Papiez, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau

Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model.

Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017

Supervoxels for graph cuts-based deformable image registration using guided image filtering.

Adam Szmul, Bartlomiej W. Papiez, Andre Hallack, Vicente Grau, Julia A. Schnabel

J. Electronic Imaging, 2017

2016

Non-local Graph-Based Regularization for Deformable Image Registration.

Bartlomiej W. Papiez, Adam Szmul, Vicente Grau, J. Michael Brady, Julia A. Schnabel

Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016

Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering.

Adam Szmul, Bartlomiej W. Papiez, Russell Bates, Andre Hallack, Julia A. Schnabel, Vicente Grau

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016