10 citations · 37 across the 18 of their papers we have counts for
5 papers · 1 filter
Deep Neuroevolution Squeezes More out of Small Neural Networks and Small Training Sets: Sample Application to MRI Brain Sequence Classification
Joseph N Stember, Hrithwik Shalu
Purpose: Deep Neuroevolution (DNE) holds the promise of providing radiology artificial intelligence (AI) that performs well with small neural networks and small training sets. We s…
Efficient Feature Representations for Cricket Data Analysis using Deep Learning based Multi-Modal Fusion Model
Souridas Alaka, Rishikesh Sreekumar, Hrithwik Shalu
Data analysis has become a necessity in the modern era of cricket. Everything from effective team management to match win predictions use some form of analytics. Meaningful data re…
Deep reinforcement learning with automated label extraction from clinical reports accurately classifies 3D MRI brain volumes
Joseph Stember, Hrithwik Shalu
Purpose: Image classification is perhaps the most fundamental task in imaging AI. However, labeling images is time-consuming and tedious. We have recently demonstrated that reinfor…
Deep reinforcement learning-based image classification achieves perfect testing set accuracy for MRI brain tumors with a training set of only 30 images
Joseph Stember, Hrithwik Shalu
Purpose: Image classification may be the fundamental task in imaging artificial intelligence. We have recently shown that reinforcement learning can achieve high accuracy for lesio…
Deep Neural Network Based Differential Equation Solver for HIV Enzyme Kinetics
Joseph Stember, Parvathy Jayan, Hrithwik Shalu
Purpose: We seek to use neural networks (NNs) to solve a well-known system of differential equations describing the balance between T cells and HIV viral burden. Materials and Meth…