10 citations · 32 across the 14 of their papers we have counts for
16 papers
Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices
Joseph Stember, Mehrnaz Jenabi, Luca Pasquini +3
Whereas MRI produces anatomic information about the brain, functional MRI (fMRI) tells us about neural activity within the brain, including how various regions communicate with eac…
Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection
Subhanik Purkayastha, Hrithwik Shalu, David Gutman +6
Artificial intelligence (AI) in radiology has made great strides in recent years, but many hurdles remain. Overfitting and lack of generalizability represent important ongoing chal…
Direct evaluation of progression or regression of disease burden in brain metastatic disease with Deep Neuroevolution
Joseph Stember, Robert Young, Hrithwik Shalu
Purpose: A core component of advancing cancer treatment research is assessing response to therapy. Doing so by hand, for example as per RECIST or RANO criteria, is tedious, time-co…
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…