Andrew J. Swift

According to our database, Andrew J. Swift authored at least 20 papers between 2014 and 2024.

Collaborative distances:

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

2024

Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning.

Michail Mamalakis, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, Bart Vorselaars

Neural Comput. Appl., October, 2024

Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment.

Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed, Andrew J. Swift, Shuo Zhou, Haiping Lu

CoRR, 2024

MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment.

Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu

CoRR, 2024

Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection.

Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing.

Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar.

Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, James M. Wild, Richard H. Clayton

Artif. Intell. Medicine, September, 2023

Uncertainty Estimation for Heatmap-Based Landmark Localization.

Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu

IEEE Trans. Medical Imaging, April, 2023

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning.

Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek

CoRR, 2023

Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation.

Michael J. Sharkey, Krit Dwivedi, Samer Alabed, Andrew J. Swift

CoRR, 2023

Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle.

Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, Jim M. Wild, Richard H. Clayton

Comput. Medical Imaging Graph., 2023

Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI.

Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning.

Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek

Proceedings of the Computational Science - ICCS 2022, 2022

Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension.

Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Samer Alabed, Andrew J. Swift, Haiping Lu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays.

Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee

Comput. Medical Imaging Graph., 2021

Myocardial inflammation and energetics by cardiac MRI: a review of emerging techniques.

Vasiliki Tsampasian, Andrew J. Swift, Hosamadin Assadi, Amrit Chowdhary, Peter Swoboda, Eva Sammut, Amardeep Dastidar, Jordi Broncano Cabrero, Javier Royuela-del-Val, Sunil Nair, Robin Nijveldt, Alisdair Ryding, Chris Sawh, Chiara Bucciarelli-Ducci, Eylem Levelt, Vassilios Vassiliou, Pankaj Garg

BMC Medical Imaging, 2021

Confidence-Quantifying Landmark Localisation For Cardiac MRI.

Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues.

Johanna Uthoff, Samer Alabed, Andrew J. Swift, Haiping Lu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2016

An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model.

Xènia Albà, Marco Pereañez, Corné Hoogendoorn, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi, Karim Lekadir

IEEE Trans. Medical Imaging, 2016

2015

Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling.

Ali Gooya, Karim Lekadir, Xènia Albà, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi

Proceedings of the Information Processing in Medical Imaging, 2015

2014

Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts.

Xènia Albà, Karim Lekadir, Corné Hoogendoorn, Marco Pereañez, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi

Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014