256 citations · 470 across the 5 of their papers we have counts for
6 papers
EchoDino: A pediatric foundation model for transferable echocardiographic analysis across the lifespan
Sheng Cheng, Donnchadh M. O'Sullivan, Daniel J. Penny +3
Echocardiography is the most widely used cardiac imaging modality, yet interpretation demands integrating visual evidence across global anatomy, localized structures and dynamic ca…
Self-Supervised Learning for Building Robust Pediatric Chest X-ray Classification Models
Sheng Cheng, Zbigniew A. Starosolski, Devika Subramanian
Recent advancements in deep learning for Medical Artificial Intelligence have demonstrated that models can match the diagnostic performance of clinical experts in adult chest X-ray…
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates
Tongtong Huang, Yan Chu, Shayan Shams +7
Objective: We study the influence of local reopening policies on the composition of the infectious population and their impact on future hospitalization and mortality rates. Materi…
Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM
Ashesh Chattopadhyay, Pedram Hassanzadeh, Devika Subramanian
In this paper, the performance of three deep learning methods for predicting short-term evolution and for reproducing the long-term statistics of a multi-scale spatio-temporal Lore…
An Unsupervised Approach to Detect Spam Campaigns that Use Botnets on Twitter
Zhouhan Chen, Devika Subramanian
In recent years, Twitter has seen a proliferation of automated accounts or bots that send spam, offer clickbait, compromise security using malware, and attempt to skew public opini…
Provably Bounded-Optimal Agents
S. J. Russell, D. Subramanian
Since its inception, artificial intelligence has relied upon a theoretical foundation centered around perfect rationality as the desired property of intelligent systems. We argue,…