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09/11/2023
Distance-Aware eXplanation Based Learning
eXplanation Based Learning (XBL) is an interactive learning approach tha...
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08/02/2023
Unlearning Spurious Correlations in Chest X-ray Classification
Medical image classification models are frequently trained using trainin...
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07/18/2023
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net
Fetal head segmentation is a crucial step in measuring the fetal head ci...
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07/12/2023
Learning from Exemplary Explanations
eXplanation Based Learning (XBL) is a form of Interactive Machine Learni...
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04/14/2023
Weighted Siamese Network to Predict the Time to Onset of Alzheimer's Disease from MRI Images
Alzheimer's Disease (AD), which is the most common cause of dementia, is...
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01/17/2023
FewSOME: Few Shot Anomaly Detection
Recent years have seen considerable progress in the field of Anomaly Det...
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11/15/2022
Identifying Spurious Correlations and Correcting them with an Explanation-based Learning
Identifying spurious correlations learned by a trained model is at the c...
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09/26/2022
Impact of Feedback Type on Explanatory Interactive Learning
Explanatory Interactive Learning (XIL) collects user feedback on visual ...
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09/20/2022
Cardiac Segmentation using Transfer Learning under Respiratory Motion Artifacts
Methods that are resilient to artifacts in the cardiac magnetic resonanc...
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08/18/2021
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability
This work employs a pre-trained, multi-view Convolutional Neural Network...
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08/16/2021
Semi-Supervised Siamese Network for Identifying Bad Data in Medical Imaging Datasets
Noisy data present in medical imaging datasets can often aid the develop...
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08/12/2020
