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07/19/2022
The Dice loss in the context of missing or empty labels: Introducing Φ and ε
Albeit the Dice loss is one of the dominant loss functions in medical im...
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03/02/2022
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
Semantic segmentation using convolutional neural networks (CNNs) is the ...
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02/24/2022
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation
Convolutional Neural Networks (CNNs) with U-shaped architectures have do...
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12/23/2021
On the relationship between calibrated predictors and unbiased volume estimation
Machine learning driven medical image segmentation has become standard i...
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11/23/2020
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Our motivating application is a real-world problem: COVID-19 classificat...
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10/26/2020
Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index
In many medical imaging and classical computer vision tasks, the Dice sc...
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10/18/2020
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters
Semantic segmentation using convolutional neural networks (CNNs) is the ...
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07/29/2020
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Recent research on COVID-19 suggests that CT imaging provides useful inf...
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11/05/2019