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2020 – today
- 2024
[j7]Michail Mamalakis
, Abhirup Banerjee, Surajit Ray, Craig Wilkie, Richard H. Clayton, Andrew J. Swift, George Panoutsos, Bart Vorselaars:
Deep multi-metric training: the need of multi-metric curve evaluation to avoid weak learning. Neural Comput. Appl. 36(30): 18841-18862 (2024)- [c9]Mohammod 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. MICCAI (1) 2024: 296-306 - [c8]Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek:
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. MICCAI (5) 2024: 670-680 - [i9]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 abs/2403.10635 (2024) - [i8]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 abs/2403.13658 (2024) - [i7]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 abs/2404.04718 (2024) - [i6]Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek:
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. CoRR abs/2409.07564 (2024) - 2023
- [j6]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: 102610 (2023) - [j5]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: 102152 (2023) - [j4]Lawrence Andrew Schobs, Andrew J. Swift, Haiping Lu:
Uncertainty Estimation for Heatmap-Based Landmark Localization. IEEE Trans. Medical Imaging 42(4): 1021-1034 (2023) - [c7]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: 206-215 - [i5]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 abs/2303.07540 (2023) - [i4]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 abs/2303.11130 (2023) - [i3]Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek:
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. CoRR abs/2312.14221 (2023) - 2022
- [c6]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: 2704-2710 - [c5]Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek:
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. ICCS (3) 2022: 14-27 - [i2]Lawrence Schobs, Andrew J. Swift, Haiping Lu:
Uncertainty Estimation for Heatmap-based Landmark Localization. CoRR abs/2203.02351 (2022) - 2021
- [j3]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): 164 (2021) - [j2]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: 102008 (2021) - [c4]Lawrence Schobs, Shuo Zhou, Marcella Cogliano, Andrew J. Swift, Haiping Lu:
Confidence-Quantifying Landmark Localisation For Cardiac MRI. ISBI 2021: 985-988 - [i1]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 abs/2104.04006 (2021) - 2020
- [c3]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: 253-262
2010 – 2019
- 2016
- [j1]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): 845-859 (2016) - 2015
- [c2]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: 98-109 - 2014
- [c1]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: 257-264
Coauthor Index
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