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04/08/2021
Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape
Deep learning (DL) relies on massive amounts of labeled data, and improv...
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09/02/2019
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation
Neural Architecture Search (NAS), a framework which automates the task o...
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11/21/2018
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays
Machine learning applications in medical imaging are frequently limited ...
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11/02/2018
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN
Fundoscopic images are often investigated by ophthalmologists to spot ab...
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07/26/2018
False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs
Generating large quantities of quality labeled data in medical imaging i...
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06/28/2017
