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02/21/2023
Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations
Deep learning models benefit from training with a large dataset (labeled...
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02/23/2022
Mixed-Block Neural Architecture Search for Medical Image Segmentation
Deep Neural Networks (DNNs) have the potential for making various clinic...
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09/06/2021
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration
Deformable Image Registration (DIR) can benefit from additional guidance...
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02/08/2021
Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization
Real-world problems are often multi-objective with decision-makers unabl...
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01/21/2020
An End-to-end Deep Learning Approach for Landmark Detection and Matching in Medical Images
Anatomical landmark correspondences in medical images can provide additi...
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11/23/2017
Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
Chest X-ray is one of the most accessible medical imaging technique for ...
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10/25/2017
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks
This work is an endeavor to develop a deep learning methodology for auto...
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10/13/2017