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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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04/25/2023
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
The Segment Anything Model (SAM) has recently gained popularity in the f...
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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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11/15/2022
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
We propose a hierarchically structured variational inference model for a...
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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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10/19/2022
On Learning Fairness and Accuracy on Multiple Subgroups
We propose an analysis in fair learning that preserves the utility of th...
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08/11/2022
Heatmap Regression for Lesion Detection using Pointwise Annotations
In many clinical contexts, detecting all lesions is imperative for evalu...
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08/03/2022
Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers
The discovery of patient-specific imaging markers that are predictive of...
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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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04/11/2022
Segmentation-Consistent Probabilistic Lesion Counting
Lesion counts are important indicators of disease severity, patient prog...
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04/01/2022
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI
Precision medicine for chronic diseases such as multiple sclerosis (MS) ...
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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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07/27/2021
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
There are many clinical contexts which require accurate detection and se...
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04/12/2021
Common Limitations of Image Processing Metrics: A Picture Story
While the importance of automatic image analysis is increasing at an eno...
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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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03/01/2021
Accounting for Variance in Machine Learning Benchmarks
Strong empirical evidence that one machine-learning algorithm A outperfo...
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10/02/2020
Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration
This paper presents an approach to fast image registration through proba...
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10/02/2020
Uncertainty driven probabilistic voxel selection for image registration
This paper presents a novel probabilistic voxel selection strategy for m...
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09/29/2020
Deep discriminant analysis for task-dependent compact network search
Most of today's popular deep architectures are hand-engineered for gener...
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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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10/09/2019
BIAS: Transparent reporting of biomedical image analysis challenges
The number of biomedical image analysis challenges organized per year is...
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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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08/03/2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation
Deep learning (DL) networks have recently been shown to outperform other...
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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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06/06/2018
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions
International challenges have become the standard for validation of biom...
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03/21/2018
