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08/18/2023
Revisiting Skin Tone Fairness in Dermatological Lesion Classification
Addressing fairness in lesion classification from dermatological images ...
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05/03/2023
Commentary on explainable artificial intelligence methods: SHAP and LIME
eXplainable artificial intelligence (XAI) methods have emerged to conver...
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11/10/2022
Fairness and bias correction in machine learning for depression prediction: results from four different study populations
A significant level of stigma and inequality exists in mental healthcare...
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09/28/2022
medigan: A Python Library of Pretrained Generative Models for Enriched Data Access in Medical Imaging
Synthetic data generated by generative models can enhance the performanc...
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09/20/2022
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Computer-aided detection systems based on deep learning have shown good ...
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09/20/2022
Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries
Most artificial intelligence (AI) research have concentrated in high-inc...
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03/16/2022
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation
Uncertainty estimation in deep learning has become a leading research fi...
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03/08/2022
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification
Early detection of breast cancer in mammography screening via deep-learn...
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01/27/2022
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study
Computer-aided detection systems based on deep learning have shown great...
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10/14/2021
Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI
Accurate delineation of the left ventricular boundaries in late gadolini...
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09/20/2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Future Medical Imaging
The recent advancements in artificial intelligence (AI) combined with th...
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08/01/2021
Style Curriculum Learning for Robust Medical Image Segmentation
The performance of deep segmentation models often degrades due to distri...
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07/20/2021
A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions
Despite technological and medical advances, the detection, interpretatio...
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07/07/2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease
Deep learning models can enable accurate and efficient disease diagnosis...
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07/21/2020
A radiomics approach to analyze cardiac alterations in hypertension
Hypertension is a medical condition that is well-established as a risk f...
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09/25/2019
A Radiomics Approach to Computer-Aided Diagnosis with Cardiac Cine-MRI
Use expert visualization or conventional clinical indices can lack accur...
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09/03/2019