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08/06/2021
Basis Scaling and Double Pruning for Efficient Transfer Learning
Transfer learning allows the reuse of deep learning features on new data...
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07/31/2021
Chest ImaGenome Dataset for Clinical Reasoning
Despite the progress in automatic detection of radiologic findings from ...
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03/22/2021
Channel Scaling: A Scale-and-Select Approach for Transfer Learning
Transfer learning with pre-trained neural networks is a common strategy ...
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09/15/2020
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Tool Development
We developed a rich dataset of Chest X-Ray (CXR) images to assist invest...
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08/04/2020
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
Chest radiography is the most common medical image examination for scree...
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08/02/2020
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning
Deep learning has now become the de facto approach to the recognition of...
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07/27/2020
Chest X-ray Report Generation through Fine-Grained Label Learning
Obtaining automated preliminary read reports for common exams such as ch...
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05/03/2020
Self-Training with Improved Regularization for Few-Shot Chest X-Ray Classification
Automated diagnostic assistants in healthcare necessitate accurate AI mo...
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07/26/2019
Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation
Weakly supervised instance labeling using only image-level labels, in li...
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06/21/2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays
Chest X-rays are the most common diagnostic exams in emergency rooms and...
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03/10/2019
Just-Enough Interaction Approach to Knee MRI Segmentation: Data from the Osteoarthritis Initiative
State-of-the-art automated segmentation algorithms are not 100% accurate...
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03/10/2019
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative
We present a fully automated learning-based approach for segmenting knee...
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03/10/2019
Learning-Based Cost Functions for 3D and 4D Multi-Surface Multi-Object Segmentation of Knee MRI: Data from the Osteoarthritis Initiative
A fully automated knee MRI segmentation method to study osteoarthritis (...
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03/09/2019
