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03/12/2022
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation
Federated learning (FL) is a distributed machine learning technique that...
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10/06/2021
Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports
Localization and characterization of diseases like pneumonia are primary...
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04/20/2021
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation
Federated learning (FL) enables collaborative model training while prese...
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04/07/2021
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
Visual explanation methods have an important role in the prognosis of th...
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11/23/2020
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan
The recent outbreak of COVID-19 has led to urgent needs for reliable dia...
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07/31/2020
Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies
Detecting clinically relevant objects in medical images is a challenge d...
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06/22/2015
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation
Automatic organ segmentation is an important yet challenging problem for...
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07/31/2014
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans
Organ segmentation is a prerequisite for a computer-aided diagnosis (CAD...
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06/06/2014