742 citations
- New York UniversityUS2 papers
- Case Western Reserve UniversityUS1 paper
- CEA Paris-SaclayFR1 paper
- Centre Inria de SaclayFR1 paper
- Child Mind InstituteUS1 paper
- Cleveland ClinicUS1 paper
- Cleveland FoundationUS1 paper
- Cleveland Research (United States)US1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- École Centrale ParisFR1 paper
- Graz University of TechnologyAT1 paper
- IBM Research - AustraliaAU1 paper
8 papers
Novel Radiomic Measurements of Tumor- Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers
Nathaniel Braman, Prateek Prasanna, Kaustav Bera +14
Purpose: Tumor-associated vasculature differs from healthy blood vessels by its chaotic architecture and twistedness, which promotes treatment resistance. Measurable differences in…
Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to "See" More, Farther and Faster
Zhongzheng Yuan, Tommy Azzino, Yu Hao +12
Advanced wearable devices are increasingly incorporating high-resolution multi-camera systems. As state-of-the-art neural networks for processing the resulting image data are compu…
Uncertainty guided semi-supervised segmentation of retinal layers in OCT images
Suman Sedai, Bhavna Antony, Ravneet Rai +5
Deep convolutional neural networks have shown outstanding performance in medical image segmentation tasks. The usual problem when training supervised deep learning methods is the l…
BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining
Zachariah Zhang, Jingshu Liu, Narges Razavian
Clinical interactions are initially recorded and documented in free text medical notes. ICD coding is the task of classifying and coding all diagnoses, symptoms and procedures asso…
Motion Browser: Visualizing and Understanding Complex Upper Limb Movement Under Obstetrical Brachial Plexus Injuries
Gromit Yeuk-Yin Chan, Luis Gustavo Nonato, Alice Chu +3
The brachial plexus is a complex network of peripheral nerves that enables sensing from and control of the movements of the arms and hand. Nowadays, the coordination between the mu…
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Florian Knoll, Kerstin Hammernik, Chi Zhang +4
Following the success of deep learning in a wide range of applications, neural network-based machine learning techniques have received interest as a means of accelerating magnetic…