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08/21/2023
Debiasing Counterfactuals In the Presence of Spurious Correlations
Deep learning models can perform well in complex medical imaging classif...
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07/04/2023
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis
Trustworthy deployment of deep learning medical imaging models into real...
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05/05/2023
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models
Image-based precision medicine aims to personalize treatment decisions b...
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03/06/2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
Although deep learning (DL) models have shown great success in many medi...
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12/12/2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
Spurious correlations in training data often lead to robustness issues s...
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10/31/2022
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation
Generalization is an important attribute of machine learning models, par...
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08/01/2022
Information Gain Sampling for Active Learning in Medical Image Classification
Large, annotated datasets are not widely available in medical image anal...
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11/01/2021
Sub-cortical structure segmentation database for young population
Segmentation of sub-cortical structures from MRI scans is of interest in...
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08/02/2021
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation
Many automatic machine learning models developed for focal pathology (e....
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03/30/2021
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images
Segmentation of enhancing tumours or lesions from MRI is important for d...
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05/28/2020
Uncertainty Evaluation Metric for Brain Tumour Segmentation
In this paper, we develop a metric designed to assess and rank uncertain...
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02/01/2019
Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays
Memory accounts for a considerable portion of the total power budget and...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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07/28/2018
RS-Net: Regression-Segmentation 3D CNN for Synthesis of Full Resolution Missing Brain MRI in the Presence of Tumours
Accurate synthesis of a full 3D MR image containing tumours from availab...
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09/04/2017