Andrew J. Swift

29 papers Journal 19Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CMRINet: Joint Groupwise Registration and Segmentation for Cardiac Function Quantification from Cine-MRI. CoRR Mohamed S. Elmahdy, Marius Staring, Patrick J. H. de Koning, Samer Alabed, Mahan Salehi, Faisal Alandejani, Michael J. Sharkey, Ziad Aldabbagh, Andrew J. Swift, Rob J. van der Geest
2025	J	`jnl`	Multimodal Lead-Specific Modeling of ECG for Low-Cost Pulmonary Hypertension Assessment. CoRR Md. Naimul Islam Suvon, Shuo Zhou, Prasun C. Tripathi, Wenrui Fan, Samer Alabed, Bishesh Khanal, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
2024	J	`jnl`	Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. Neural Comput. Appl. Michail Mamalakis, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, Bart Vorselaars
2024	J	`jnl`	Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. CoRR Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed, Andrew J. Swift, Shuo Zhou, Haiping Lu
2024	J	`jnl`	MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment. CoRR Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
2024	—	`conf`	Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection. MICCAI (1) Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
2024	J	`jnl`	Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection. CoRR Md. Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
2024	—	`conf`	TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. MICCAI (5) Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. CoRR Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek
2023	J	`jnl`	Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. Artif. Intell. Medicine Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, James M. Wild, Richard H. Clayton
2023	J	`jnl`	Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle. Comput. Medical Imaging Graph. Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, Jim M. Wild, Richard H. Clayton
2023	J	`jnl`	Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation. CoRR Michael J. Sharkey, Krit Dwivedi, Samer Alabed, Andrew J. Swift
2023	J	`jnl`	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. CoRR Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek
2023	—	`conf`	Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. MICCAI (7) Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
2023	J	`jnl`	Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. CoRR Prasun C. Tripathi, Mohammod Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
2023	J	`jnl`	Uncertainty Estimation for Heatmap-Based Landmark Localization. IEEE Trans. Medical Imaging Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu
2022	—	`conf`	Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension. BIBM Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Samer Alabed, Andrew J. Swift, Haiping Lu
2022	—	`conf`	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. ICCS (3) Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek
2022	J	`jnl`	Uncertainty Estimation for Heatmap-based Landmark Localization. CoRR Lawrence Schobs, Andrew J. Swift, Haiping Lu
2021	—	`conf`	Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu
2021	J	`jnl`	DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Comput. Medical Imaging Graph. Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
2021	J	`jnl`	DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. CoRR Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
2021	J	`jnl`	Myocardial inflammation and energetics by cardiac MRI: a review of emerging techniques. BMC Medical Imaging 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
2020	—	`conf`	Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues. MICCAI (2) Johanna Uthoff, Samer Alabed, Andrew J. Swift, Haiping Lu
2020	—	`conf`	Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images. ACCV (5) Abdullah Sarhan, Ali Al-KhazÁly, Adam Gorner, Andrew J. Swift, Jon G. Rokne, Reda Alhajj, Andrew Crichton
2020	J	`jnl`	Utilizing Transfer Learning and a Customized Loss Function for Optic Disc Segmentation from Retinal Images. CoRR Abdullah Sarhan, Ali Al-KhazÁly, Adam Gorner, Andrew J. Swift, Jon G. Rokne, Reda Alhajj, Andrew Crichton
2016	J	`jnl`	An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model. IEEE Trans. Medical Imaging Xènia Albà, Marco Pereañez, Corné Hoogendoorn, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi, Karim Lekadir
2015	—	`conf`	Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling. IPMI Ali Gooya, Karim Lekadir, Xènia Albà, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi
2014	—	`conf`	Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts. STACOM Xènia Albà, Karim Lekadir, Corné Hoogendoorn, Marco Pereañez, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi