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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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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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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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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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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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03/02/2019
A Hybrid SLAM and Object Recognition System for Pepper Robot
Humanoid robots are playing increasingly important roles in real-life ta...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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10/04/2018
Survival prediction using ensemble tumor segmentation and transfer learning
Segmenting tumors and their subregions is a challenging task as demonstr...
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01/19/2018
Quantitative analysis of patch-based fully convolutional neural networks for tissue segmentation on brain magnetic resonance imaging
Accurate brain tissue segmentation in Magnetic Resonance Imaging (MRI) h...
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12/11/2017
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
In recent years, deep convolutional neural networks (CNNs) have shown re...
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09/26/2017