Search Results - "Hann, Evan"

Standardization of T1-mapping in cardiovascular magnetic resonance using clustered structuring for benchmarking normal ranges by Popescu, Iulia A., Werys, Konrad, Zhang, Qiang, Puchta, Henrike, Hann, Evan, Lukaschuk, Elena, Ferreira, Vanessa M., Piechnik, Stefan K.

“…Cardiovascular magnetic resonance T1-mapping is increasingly used for tissue characterization, commonly based on Modified Look-Locker Inversion recovery…”
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Interpretability of radiomics models is improved when using feature group selection strategies for predicting molecular and clinical targets in clear-cell renal cell carcinoma: insights from the TRACERx Renal study by Orton, Matthew R, Hann, Evan, Doran, Simon J, Shepherd, Scott T C, Ap Dafydd, Derfel, Spencer, Charlotte E, López, José I, Albarrán-Artahona, Víctor, Comito, Francesca, Warren, Hannah, Shur, Joshua, Messiou, Christina, Larkin, James, Turajlic, Samra, Koh, Dow-Mu

“…The aim of this work is to evaluate the performance of radiomics predictions for a range of molecular, genomic and clinical targets in patients with clear cell…”
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Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods by Burrage, Matthew K., Shanmuganathan, Mayooran, Zhang, Qiang, Hann, Evan, Popescu, Iulia A., Soundarajan, Rajkumar, Chow, Kelvin, Neubauer, Stefan, Ferreira, Vanessa M., Piechnik, Stefan K.

“…Stress and rest T1-mapping may assess for myocardial ischemia and extracellular volume (ECV). However, the stress T1 response is method-dependent, and…”
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Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data by Biasiolli, Luca, Hann, Evan, Lukaschuk, Elena, Carapella, Valentina, Paiva, Jose M, Aung, Nay, Rayner, Jennifer J, Werys, Konrad, Fung, Kenneth, Puchta, Henrike, Sanghvi, Mihir M, Moon, Niall O, Thomson, Ross J, Thomas, Katharine E, Robson, Matthew D, Grau, Vicente, Petersen, Steffen E, Neubauer, Stefan, Piechnik, Stefan K

“…Aortic distensibility can be calculated using semi-automated methods to segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images…”
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Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images by Gonzales, Ricardo A, Ibáñez, Daniel H, Hann, Evan, Popescu, Iulia A, Burrage, Matthew K, Lee, Yung P, Altun, İbrahim, Weintraub, William S, Kwong, Raymond Y, Kramer, Christopher M, Neubauer, Stefan, Ferreira, Vanessa M, Zhang, Qiang, Piechnik, Stefan K

“…Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging is the gold standard for non-invasive myocardial tissue characterisation…”
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Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping by Werys, Konrad, Dragonu, Iulius, Zhang, Qiang, Popescu, Iulia, Hann, Evan, Puchta, Henrike, Kubik, Agata, Polat, Dogan, Wu, Cody, Moon, Niall O., Barutcu, Ahmet, Ferreira, Vanessa M., Piechnik, Stefan K.

“…TOMATO (Total Mapping Toolbox) is a C++ library for the calculation of parametric maps in cardiac magnetic resonance imaging (MRI). As an open source project,…”
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3.2 First Genome-Wide Association Study of Cardiovascular Magnetic Resonance Derived Aortic Distensibility Reveals 7 Loci by Fung, Kenneth, Biasiolli, Luca, Hann, Evan, Ramirez, Julia, Lukaschuk, Elena, Aung, Nay, Paiva, Jose, Werys, Konrad, Sanghvi, Mihir, Thomson, Ross, Rayner, Jennifer, Puchta, Henrike, Moon, Niall, Thomas, Katharine, Lee, Aaron, Piechnik, Stefan, Neubauer, Stefan, Petersen, Steffen, Munroe, Patricia

“…Background Although arterial stiffness has demonstrated moderate heritability, our knowledge of the genes modulating arterial stiffness is still limited. We…”
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Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping by Hann, Evan, Popescu, Iulia A., Zhang, Qiang, Gonzales, Ricardo A., Barutçu, Ahmet, Neubauer, Stefan, Ferreira, Vanessa M., Piechnik, Stefan K.

“…•Quality control-driven framework for cardiac segmentation and quality control.•Exploiting variability within deep neural network ensemble to estimate…”
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Toward Replacing Late Gadolinium Enhancement With Artificial Intelligence Virtual Native Enhancement for Gadolinium-Free Cardiovascular Magnetic Resonance Tissue Characterization in Hypertrophic Cardiomyopathy by Zhang, Qiang, Burrage, Matthew K., Lukaschuk, Elena, Shanmuganathan, Mayooran, Popescu, Iulia A., Nikolaidou, Chrysovalantou, Mills, Rebecca, Werys, Konrad, Hann, Evan, Barutcu, Ahmet, Polat, Suleyman D., Salerno, Michael, Jerosch-Herold, Michael, Kwong, Raymond Y., Watkins, Hugh C., Kramer, Christopher M., Neubauer, Stefan, Ferreira, Vanessa M., Piechnik, Stefan K.

“…Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging is the gold standard for noninvasive myocardial tissue characterization but…”
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Deep learning with attention supervision for automated motion artefact detection in quality control of cardiac T1-mapping by Zhang, Qiang, Hann, Evan, Werys, Konrad, Wu, Cody, Popescu, Iulia, Lukaschuk, Elena, Barutcu, Ahmet, Ferreira, Vanessa M., Piechnik, Stefan K.

“…•A multi-stream CNN ResNet classifier customised for CMR T1-mapping motion artefact detection.•An attention supervision module to guide the training of CNN…”
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Incident Clinical and Mortality Associations of Myocardial Native T1 in the UK Biobank by Raisi-Estabragh, Zahra, McCracken, Celeste, Hann, Evan, Condurache, Dorina-Gabriela, Harvey, Nicholas C., Munroe, Patricia B., Ferreira, Vanessa M., Neubauer, Stefan, Piechnik, Stefan K., Petersen, Steffen E.

“…Cardiac magnetic resonance native T1-mapping provides noninvasive, quantitative, and contrast-free myocardial characterization. However, its predictive value…”
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Deep Ensemble Learning-Based Quality Control for Automatic Segmentation in Cardiovascular Magnetic Resonance Imaging by Hann, Evan

“…Cardiovascular magnetic resonance (CMR) imaging is a powerful tool for research and clinical applications. To extract useful clinical information from the…”
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Concurrent Left Ventricular Myocardial Diffuse Fibrosis and Left Atrial Dysfunction Strongly Predict Incident Heart Failure by Wong, Mark Y.Z., Vargas, Jose D., Naderi, Hafiz, Sanghvi, Mihir M., Raisi-Estabragh, Zahra, Suinesiaputra, Avan, Bonazzola, Rodrigo, Attar, Rahman, Ravikumar, Nishant, Hann, Evan, Neubauer, Stefan, Piechnik, Stefan K., Frangi, Alejandro F., Petersen, Steffen E., Aung, Nay

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Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls by Burrage, Matthew K., Shanmuganathan, Mayooran, Masi, Ambra, Hann, Evan, Zhang, Qiang, Popescu, Iulia A., Soundarajan, Rajkumar, Leal Pelado, Joana, Chow, Kelvin, Neubauer, Stefan, Piechnik, Stefan K., Ferreira, Vanessa M.

“…Adenosine stress T1-mapping on cardiovascular magnetic resonance (CMR) can differentiate between normal, ischemic, infarcted, and remote myocardial tissue…”
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Acute Response in the Noninfarcted Myocardium Predicts Long-Term Major Adverse Cardiac Events After STEMI by Shanmuganathan, Mayooran, Masi, Ambra, Burrage, Matthew K., Kotronias, Rafail A., Borlotti, Alessandra, Scarsini, Roberto, Banerjee, Abhirup, Terentes-Printzios, Dimitrios, Zhang, Qiang, Hann, Evan, Tunnicliffe, Elizabeth, Lucking, Andrew, Langrish, Jeremy, Kharbanda, Rajesh, De Maria, Giovanni Luigi, Banning, Adrian P., Choudhury, Robin P., Channon, Keith M., Piechnik, Stefan K., Ferreira, Vanessa M.

“…Acute ST-segment elevation myocardial infarction (STEMI) has effects on the myocardium beyond the immediate infarcted territory. However, pathophysiologic…”
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Towards Replacing Late Gadolinium Enhancement with Artificial Intelligence Virtual Native Enhancement for Gadolinium-Free Cardiovascular Magnetic Resonance Tissue Characterization in Hypertrophic Cardiomyopathy by Zhang, Qiang, Burrage, Matthew K., Lukaschuk, Elena, Shanmuganathan, Mayooran, Popescu, Iulia A., Nikolaidou, Chrysovalantou, Mills, Rebecca, Werys, Konrad, Hann, Evan, Barutcu, Ahmet, Polat, Suleyman D., Salerno, Michael, Jerosch-Herold, Michael, Kwong, Raymond Y., Watkins, Hugh C., Kramer, Christopher M., Neubauer, Stefan, Ferreira, Vanessa M., Piechnik, Stefan K.

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