Zobrazeno 1 - 10
of 4 970
pro vyhledávání: '"Puyol À"'
Autor:
Yuan, Zhen, Stojanovski, David, Li, Lei, Gomez, Alberto, Jogeesvaran, Haran, Puyol-Antón, Esther, Inusa, Baba, King, Andrew P.
Splenomegaly, the enlargement of the spleen, is an important clinical indicator for various associated medical conditions, such as sickle cell disease (SCD). Spleen length measured from 2D ultrasound is the most widely used metric for characterising
Externí odkaz:
http://arxiv.org/abs/2411.11190
Autor:
Wickremasinghe, Dewmini Hasara, Xu, Yiyang, Puyol-Antón, Esther, Aljabar, Paul, Razavi, Reza, King, Andrew P.
Quantification of cardiac biomarkers from cine cardiovascular magnetic resonance (CMR) data using deep learning (DL) methods offers many advantages, such as increased accuracy and faster analysis. However, only a few studies have focused on the scan-
Externí odkaz:
http://arxiv.org/abs/2408.11754
Autor:
Xu, Yiyang, Xu, Hao, Sinclair, Matthew, Puyol-Antón, Esther, Niederer, Steven A, Chiribiri, Amedeo, Williams, Steven E, Williams, Michelle C, Young, Alistair A
Cardiac magnetic resonance (CMR) imaging and computed tomography (CT) are two common non-invasive imaging methods for assessing patients with cardiovascular disease. CMR typically acquires multiple sparse 2D slices, with unavoidable respiratory motio
Externí odkaz:
http://arxiv.org/abs/2408.07532
Autor:
Lee, Tiarna, Puyol-Anton, Esther, Ruijsink, Bram, Roujol, Sebastien, Barfoot, Theodore, Ogbomo-Harmitt, Shaheim, Shi, Miaojing, King, Andrew P.
Artificial intelligence (AI) methods are being used increasingly for the automated segmentation of cine cardiac magnetic resonance (CMR) imaging. However, these methods have been shown to be subject to race bias, i.e. they exhibit different levels of
Externí odkaz:
http://arxiv.org/abs/2408.02462
Improving calibration performance in deep learning (DL) classification models is important when planning the use of DL in a decision-support setting. In such a scenario, a confident wrong prediction could lead to a lack of trust and/or harm in a high
Externí odkaz:
http://arxiv.org/abs/2405.06487
Echocardiography (echo) is the first imaging modality used when assessing cardiac function. The measurement of functional biomarkers from echo relies upon the segmentation of cardiac structures and deep learning models have been proposed to automate
Externí odkaz:
http://arxiv.org/abs/2403.07818
Autor:
Dawood, Tareen, Chen, Chen, Sidhua, Baldeep S., Ruijsink, Bram, Goulda, Justin, Porter, Bradley, Elliott, Mark K., Mehta, Vishal, Rinaldi, Christopher A., Puyol-Anton, Esther, Razavi, Reza, King, Andrew P.
Quantifying uncertainty of predictions has been identified as one way to develop more trustworthy artificial intelligence (AI) models beyond conventional reporting of performance metrics. When considering their role in a clinical decision support set
Externí odkaz:
http://arxiv.org/abs/2308.15141
Autor:
Bercea, Cosmin I., Puyol-Antón, Esther, Wiestler, Benedikt, Rueckert, Daniel, Schnabel, Julia A., King, Andrew P.
Unsupervised anomaly detection methods offer a promising and flexible alternative to supervised approaches, holding the potential to revolutionize medical scan analysis and enhance diagnostic performance. In the current landscape, it is commonly assu
Externí odkaz:
http://arxiv.org/abs/2308.13861
Autor:
Lee, Tiarna, Puyol-Antón, Esther, Ruijsink, Bram, Aitcheson, Keana, Shi, Miaojing, King, Andrew P.
In medical imaging, artificial intelligence (AI) is increasingly being used to automate routine tasks. However, these algorithms can exhibit and exacerbate biases which lead to disparate performances between protected groups. We investigate the impac
Externí odkaz:
http://arxiv.org/abs/2308.13415
Abnormal spleen enlargement (splenomegaly) is regarded as a clinical indicator for a range of conditions, including liver disease, cancer and blood diseases. While spleen length measured from ultrasound images is a commonly used surrogate for spleen
Externí odkaz:
http://arxiv.org/abs/2308.08038