6 citations · 27 across the 9 of their papers we have counts for
6 papers · 1 filter
Symbolic Semantic Segmentation and Interpretation of COVID-19 Lung Infections in Chest CT volumes based on Emergent Languages
Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +2
The coronavirus disease (COVID-19) has resulted in a pandemic crippling the a breadth of services critical to daily life. Segmentation of lung infections in computerized tomography…
Emergent symbolic language based deep medical image classification
Aritra Chowdhury, Alberto Santamaria-Pang, James R. Kubricht +1
Modern deep learning systems for medical image classification have demonstrated exceptional capabilities for distinguishing between image based medical categories. However, they ar…
Towards Emergent Language Symbolic Semantic Segmentation and Model Interpretability
Alberto Santamaria-Pang, James Kubricht, Aritra Chowdhury +2
Recent advances in methods focused on the grounding problem have resulted in techniques that can be used to construct a symbolic language associated with a specific domain. Inspire…
Image-driven discriminative and generative machine learning algorithms for establishing microstructure-processing relationships
Wufei Ma, Elizabeth Kautz, Arun Baskaran +4
We investigate methods of microstructure representation for the purpose of predicting processing condition from microstructure image data. A binary alloy (uranium-molybdenum) that…
Automated Phenotyping via Cell Auto Training (CAT) on the Cell DIVE Platform
Alberto Santamaria-Pang, Anup Sood, Dan Meyer +2
We present a method for automatic cell classification in tissue samples using an automated training set from multiplexed immunofluorescence images. The method utilizes multiple mar…
ESCELL: Emergent Symbolic Cellular Language
Aritra Chowdhury, James R. Kubricht, Anup Sood +2
We present ESCELL, a method for developing an emergent symbolic language of communication between multiple agents reasoning about cells. We show how agents are able to cooperate an…