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09/04/2023
Marked spatial point processes: current state and extensions to point processes on linear networks
Within the applications of spatial point processes, it is increasingly b...
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08/08/2022
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays
Despite the progress in utilizing deep learning to automate chest radiog...
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01/10/2022
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient
The convolutional layer and loss function are two fundamental components...
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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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05/20/2021
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
Radiologists usually observe anatomical regions of chest X-ray images as...
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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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03/01/2021
Statistical learning and cross-validation for point processes
This paper presents the first general (supervised) statistical learning ...
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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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10/08/2019
Inhomogeneous higher-order summary statistics for linear network point processes
We introduce the notion of intensity reweighted moment pseudostationary ...
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09/12/2019
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation
Deep learning has largely reduced the need for manual feature selection ...
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06/21/2019
Boosting the rule-out accuracy of deep disease detection using class weight modifiers
In many screening applications, the primary goal of a radiologist or ass...
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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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04/02/2019
Identifying disease-free chest X-ray images with deep transfer learning
Chest X-rays (CXRs) are among the most commonly used medical image modal...
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03/09/2019
Age prediction using a large chest X-ray dataset
Age prediction based on appearances of different anatomies in medical im...
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09/05/2018
Bimodal network architectures for automatic generation of image annotation from text
Medical image analysis practitioners have embraced big data methodologie...
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08/31/2018
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes
With the introduction of fully convolutional neural networks, deep learn...
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08/15/2018
Building medical image classifiers with very limited data using segmentation networks
Deep learning has shown promising results in medical image analysis, how...
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05/07/2018