26 citations · 55 across the 9 of their papers we have counts for
5 papers · 1 filter
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms
Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu +6
Intrasaccular flow disruptors treat cerebral aneurysms by diverting the blood flow from the aneurysm sac. Residual flow into the sac after the intervention is a failure that could…
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient
Ken C. L. Wong, Mehdi Moradi
The convolutional layer and loss function are two fundamental components in deep learning. Because of the success of conventional deep learning kernels, the less versatile Gabor ke…
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu +2
Chest radiography is the most common medical image examination for screening and diagnosis in hospitals. Automatic interpretation of chest X-rays at the level of an entry-level rad…
A robust network architecture to detect normal chest X-ray radiographs
Ken C. L. Wong, Mehdi Moradi, Joy Wu +10
We propose a novel deep neural network architecture for normalcy detection in chest X-ray images. This architecture treats the problem as fine-grained binary classification in whic…
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation
Ken C. L. Wong, Mehdi Moradi
Deep learning has largely reduced the need for manual feature selection in image segmentation. Nevertheless, network architecture optimization and hyperparameter tuning are mostly…