9 citations · 24 across the 10 of their papers we have counts for
10 papers
Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method
Alanna Hazlett, Naomi Ohashi, Timothy Rodriguez +1
In this work, we investigate the performance across multiple classification models to classify chest X-ray images into four categories of COVID-19, pneumonia, tuberculosis (TB), an…
Words of War: Exploring the Presidential Rhetorical Arsenal with Deep Learning
Wyatt Scott, Brett Genz, Sarah Elmasry +1
In political discourse and geopolitical analysis, national leaders words hold profound significance, often serving as harbingers of pivotal historical moments. From impassioned ral…
The intersection of video capsule endoscopy and artificial intelligence: addressing unique challenges using machine learning
Shan Guleria, Benjamin Schwartz, Yash Sharma +12
Introduction: Technical burdens and time-intensive review processes limit the practical utility of video capsule endoscopy (VCE). Artificial intelligence (AI) is poised to address…
Distributed Conditional GAN (discGAN) For Synthetic Healthcare Data Generation
David Fuentes, Diana McSpadden, Sodiq Adewole
In this paper, we propose a distributed Generative Adversarial Networks (discGANs) to generate synthetic tabular data specific to the healthcare domain. While using GANs to generat…
Graph Convolution Neural Network For Weakly Supervised Abnormality Localization In Long Capsule Endoscopy Videos
Sodiq Adewole, Philip Fernandes, James Jablonski +4
Temporal activity localization in long videos is an important problem. The cost of obtaining frame level label for long Wireless Capsule Endoscopy (WCE) videos is prohibitive. In t…
Unsupervised Shot Boundary Detection for Temporal Segmentation of Long Capsule Endoscopy Videos
Sodiq Adewole, Philip Fernandes, James Jablonski +4
Physicians use Capsule Endoscopy (CE) as a non-invasive and non-surgical procedure to examine the entire gastrointestinal (GI) tract for diseases and abnormalities. A single CE exa…
Feature Selection Using Reinforcement Learning
Sali Rasoul, Sodiq Adewole, Alphonse Akakpo
With the decreasing cost of data collection, the space of variables or features that can be used to characterize a particular predictor of interest continues to grow exponentially.…
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video
Sodiq Adewole, Philip Fernandez, Michelle Yeghyayan +5
Effective and rapid detection of lesions in the Gastrointestinal tract is critical to gastroenterologist's response to some life-threatening diseases. Wireless Capsule Endoscopy (W…
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images
Rasoul Sali, Sodiq Adewole, Lubaina Ehsan +8
Deep convolutional neural networks(CNNs) have been successful for a wide range of computer vision tasks, including image classification. A specific area of the application lies in…
Dialogue-Based Simulation For Cultural Awareness Training
Sodiq Adewole, Erfaneh Gharavi, Benjamin Shpringer +4
Existing simulations designed for cultural and interpersonal skill training rely on pre-defined responses with a menu option selection interface. Using a multiple-choice interface…