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Andrew P. King

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King's College London

Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling

Mar 12, 2024
Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King

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Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI

Nov 13, 2023
Paula Ramirez, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez

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An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features

Sep 29, 2023
Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King

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Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images

Aug 29, 2023
Tareen Dawood, Chen Chen, Baldeep S. Sidhua, Bram Ruijsink, Justin Goulda, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Anton, Reza Razavi, Andrew P. King

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Bias in Unsupervised Anomaly Detection in Brain MRI

Aug 26, 2023
Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King

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An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation

Aug 25, 2023
Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King

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Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views

Aug 17, 2023
Zhen Yuan, Esther Puyol-Anton, Haran Jogeesvaran, Baba Inusa, Andrew P. King

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Automatic retrieval of corresponding US views in longitudinal examinations

Jun 07, 2023
Hamideh Kerdegari, Tran Huy Nhat Phung1, Van Hao Nguyen, Thi Phuong Thao Truong, Ngoc Minh Thu Le, Thanh Phuong Le, Thi Mai Thao Le, Luigi Pisani, Linda Denehy, Vital Consortium, Reza Razavi, Louise Thwaites, Sophie Yacoub, Andrew P. King, Alberto Gomez

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Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training

Jan 30, 2023
Tareen Dawood, Emily Chan, Reza Razavi, Andrew P. King, Esther Puyol-Anton

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Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging

Sep 28, 2022
Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal-Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Phil Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón

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