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08/09/2023
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis?
While many studies have assessed the fairness of AI algorithms in the me...
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05/02/2023
Are demographically invariant models and representations in medical imaging fair?
Medical imaging models have been shown to encode information about patie...
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04/11/2023
An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery
In fetal ultrasound screening, Doppler images on the umbilical artery (U...
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03/28/2023
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation
Segmentation uncertainty models predict a distribution over plausible se...
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03/24/2023
Removing confounding information from fetal ultrasound images
Confounding information in the form of text or markings embedded in medi...
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03/23/2023
Laplacian Segmentation Networks: Improved Epistemic Uncertainty from Spatial Aleatoric Uncertainty
Out of distribution (OOD) medical images are frequently encountered, e.g...
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02/17/2023
On (assessing) the fairness of risk score models
Recent work on algorithmic fairness has largely focused on the fairness ...
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11/19/2022
I saw, I conceived, I concluded: Progressive Concepts as Bottlenecks
Concept bottleneck models (CBMs) include a bottleneck of human-interpret...
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05/23/2022
DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation
Curvilinear structure segmentation plays an important role in many appli...
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04/04/2022
Feature robustness and sex differences in medical imaging: a case study in MRI-based Alzheimer's disease detection
Convolutional neural networks have enabled significant improvements in m...
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11/29/2021
diffConv: Analyzing Irregular Point Clouds with an Irregular View
Standard spatial convolutions assume input data with a regular neighborh...
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06/06/2021
Graph2Graph Learning with Conditional Autoregressive Models
We present a graph neural network model for solving graph-to-graph learn...
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05/20/2021
Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy
Motivated by a challenging tubular network segmentation task, this paper...
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04/20/2021
Semantic similarity metrics for learned image registration
We propose a semantic similarity metric for image registration. Existing...
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03/30/2021
Is segmentation uncertainty useful?
Probabilistic image segmentation encodes varying prediction confidence a...
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11/11/2020
DeepSim: Semantic similarity metrics for learned image registration
We propose a semantic similarity metric for image registration. Existing...
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02/24/2019
A Formalization of The Natural Gradient Method for General Similarity Measures
In optimization, the natural gradient method is well-known for likelihoo...
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02/10/2019
(q,p)-Wasserstein GANs: Comparing Ground Metrics for Wasserstein GANs
Generative Adversial Networks (GANs) have made a major impact in compute...
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06/29/2018
Learning from graphs with structural variation
We study the effect of structural variation in graph data on the predict...
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05/23/2018
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Latent variable models learn a stochastic embedding from a low-dimension...
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11/02/2014
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
We consider kernel methods on general geodesic metric spaces and provide...
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03/29/2013
Geometric tree kernels: Classification of COPD from airway tree geometry
Methodological contributions: This paper introduces a family of kernels ...
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07/23/2012
