Noah Kasmanoff's research while affiliated with New York University and other places

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Publications (2)

Convolutional neural network architecture. After 10 layers of...
Confusion matrix of sequence classification on dataset A (holdout test...
Confusion matrix of sequence classification on dataset B (out-of-domain...
Saliency maps demonstrate high gradients around head contours, which...
Examples of sequence classification discrepancies by the convolutional...
Deep multi-task learning and random forest for series classification by pulse sequence type and orientation
Article
Full-text available
  • Jul 2022
Purpose: Increasingly complex MRI studies and variable series naming conventions reveal limitations of rule-based image routing, especially in health systems with multiple scanners and sites. Accurate methods to identify series based on image content would aid post-processing and PACS viewing. Recent deep/machine learning efforts classify 5-8 basi...
Fig. 4. Predicting Future Infections for a Simulated Dataset in a...
Fig. 5. Fitting SIR (top left), SEI3RD (bottom right) and SEIR models...
Fig. 7. Fitting SIR (top left), SEIR (top right) and SEI3RD models to...
Fig. 9. The SEI3RD Model from [Wood et al. 2020] along with our policy...
Fig. 12. Adaptively Changing the Policy Intervention
Compartmental Models for COVID-19 and Control via Policy Interventions
Preprint
Full-text available
  • Mar 2022
We demonstrate an approach to replicate and forecast the spread of the SARS-CoV-2 (COVID-19) pandemic using the toolkit of probabilistic programming languages (PPLs). Our goal is to study the impact of various modeling assumptions and motivate policy interventions enacted to limit the spread of infectious diseases. Using existing compartmental mode...