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09/20/2022
Calibrating Ensembles for Scalable Uncertainty Quantification in Deep Learning-based Medical Segmentation
Uncertainty quantification in automated image analysis is highly desired...
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10/31/2021
Focal Attention Networks: optimising attention for biomedical image segmentation
In recent years, there has been increasing interest to incorporate atten...
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10/31/2021
Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation
Manual segmentation is used as the gold-standard for evaluating neural n...
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10/31/2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
The Dice similarity coefficient (DSC) is both a widely used metric and l...
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06/04/2021
Computer-Assisted Analysis of Biomedical Images
Nowadays, the amount of heterogeneous biomedical data is increasing more...
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05/16/2021
Advances in Artificial Intelligence to Reduce Polyp Miss Rates during Colonoscopy
BACKGROUND AND CONTEXT: Artificial intelligence has the potential to aid...
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02/08/2021
A Mixed Focal Loss Function for Handling Class Imbalanced Medical Image Segmentation
Automatic segmentation methods are an important advancement in medical i...
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07/24/2020
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction
Unsupervised learning can discover various unseen diseases, relying on l...
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01/12/2020
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
This work aims to identify/bridge the gap between Artificial Intelligenc...
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06/14/2019
GAN-based Multiple Adjacent Brain MRI Slice Reconstruction for Unsupervised Alzheimer's Disease Diagnosis
Leveraging large-scale healthy datasets, unsupervised learning can disco...
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06/12/2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Accurate computer-assisted diagnosis, relying on large-scale annotated p...
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05/31/2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
Convolutional Neural Networks (CNNs) can achieve excellent computer-assi...
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04/17/2019
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
Prostate cancer is the most common malignant tumors in men but prostate ...
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03/29/2019
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study
Prostate cancer is the most common cancer among US men. However, prostat...
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03/29/2019
Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection
Due to the lack of available annotated medical images, accurate computer...
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02/26/2019