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08/04/2022
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CT
Explainable artificial intelligence (XAI) is increasingly used to analyz...
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09/13/2021
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT
This paper assesses whether using clinical characteristics in addition t...
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08/05/2021
MixLacune: Segmentation of lacunes of presumed vascular origin
Lacunes of presumed vascular origin are fluid-filled cavities of between...
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08/05/2021
MixMicrobleed: Multi-stage detection and segmentation of cerebral microbleeds
Cerebral microbleeds are small, dark, round lesions that can be visualis...
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07/22/2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
With an increase in deep learning-based methods, the call for explainabi...
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12/08/2020
Interpretable deep learning regression for breast density estimation on MRI
Breast density, which is the ratio between fibroglandular tissue (FGT) a...
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11/22/2018
Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing
Response of breast cancer to neoadjuvant chemotherapy (NAC) can be monit...
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09/14/2018
BPE and computer-extracted parenchymal enhancement for breast cancer risk, response monitoring, and prognosis
Functional behavior of breast cancer - representing underlying biology -...
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04/11/2017
