Andrew J. Swift

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 17

Top Topics

Automatic Segmentation

Statistical Shape Model

Top Venues

IEEE Trans. Medical Imaging

Comput. Medical Imaging Graph.

Artif. Intell. Medicine

Publications

Wenrui Fan, Mohammod Naimul Islam Suvon, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
MeDSLIP: Medical Dual-Stream Language-Image Pre-training for Fine-grained Alignment. CoRR (2024)
Md. Naimul Islam Suvon, Prasun C. Tripathi, Wenrui Fan, Shuo Zhou, Xianyuan Liu, Samer Alabed, Venet Osmani, Andrew J. Swift, Chen Chen, Haiping Lu
Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection. CoRR (2024)
Prasun C. Tripathi, Sina Tabakhi, Mohammod Naimul Islam Suvon, Lawrence Andrew Schobs, Samer Alabed, Andrew J. Swift, Shuo Zhou, Haiping Lu
Interpretable Multimodal Learning for Cardiovascular Hemodynamics Assessment. CoRR (2024)
Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu
Uncertainty Estimation for Heatmap-Based Landmark Localization. IEEE Trans. Medical Imaging 42 (4) (2023)
Michael J. Sharkey, Krit Dwivedi, Samer Alabed, Andrew J. Swift
Deep learning automated quantification of lung disease in pulmonary hypertension on CT pulmonary angiography: A preliminary clinical study with external validation. CoRR (2023)
Prasun C. Tripathi, Mohammod Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
Tensor-based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. CoRR (2023)
Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, Jim M. Wild, Richard H. Clayton
Automatic development of 3D anatomical models of border zone and core scar regions in the left ventricle. Comput. Medical Imaging Graph. 103 (2023)
Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, James M. Wild, Richard H. Clayton
Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar. Artif. Intell. Medicine 143 (2023)
Prasun C. Tripathi, Md. Naimul Islam Suvon, Lawrence Schobs, Shuo Zhou, Samer Alabed, Andrew J. Swift, Haiping Lu
Tensor-Based Multimodal Learning for Prediction of Pulmonary Arterial Wedge Pressure from Cardiac MRI. MICCAI (7) (2023)
Mohammod Naimul Islam Suvon, Prasun C. Tripathi, Samer Alabed, Andrew J. Swift, Haiping Lu
Multimodal Learning for Predicting Mortality in Patients with Pulmonary Arterial Hypertension. BIBM (2022)
Lawrence Schobs, Andrew J. Swift, Haiping Lu
Uncertainty Estimation for Heatmap-based Landmark Localization. CoRR (2022)
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. CoRR (2021)
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Comput. Medical Imaging Graph. 94 (2021)
Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu
Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI (2021)
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
Myocardial inflammation and energetics by cardiac MRI: a review of emerging techniques. BMC Medical Imaging 21 (1) (2021)
Johanna Uthoff, Samer Alabed, Andrew J. Swift, Haiping Lu
Geodesically Smoothed Tensor Features for Pulmonary Hypertension Prognosis Using the Heart and Surrounding Tissues. MICCAI (2) (2020)
Xènia Albà, Marco Pereañez, Corné Hoogendoorn, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi, Karim Lekadir
An Algorithm for the Segmentation of Highly Abnormal Hearts Using a Generic Statistical Shape Model. IEEE Trans. Medical Imaging 35 (3) (2016)
Ali Gooya, Karim Lekadir, Xènia Albà, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi
Joint Clustering and Component Analysis of Correspondenceless Point Sets: Application to Cardiac Statistical Modeling. IPMI (2015)
Xènia Albà, Karim Lekadir, Corné Hoogendoorn, Marco Pereañez, Andrew J. Swift, Jim M. Wild, Alejandro F. Frangi
Reusability of Statistical Shape Models for the Segmentation of Severely Abnormal Hearts. STACOM (2014)