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12/03/2022
Active learning using adaptable task-based prioritisation
Supervised machine learning-based medical image computing applications n...
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10/12/2021
Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks
Ultrasound imaging is a commonly used technology for visualising patient...
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03/25/2021
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy
Super-resolution (SR) methods have seen significant advances thanks to t...
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11/29/2019
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches
Purpose: Probe-based Confocal Laser Endomicroscopy (pCLE) enables perfor...
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01/21/2019
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
In recent years, endomicroscopy has become increasingly used for diagnos...
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03/23/2018