Kristen Severson

Computer Science · Physical Sciences

19h-index4.9kcitations51works30.82yr avg
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Research Topics

AI in cancer detection(7), Advanced Battery Technologies Research(5), Parkinson's Disease Mechanisms and Treatments(4), Mineral Processing and Grinding(4), Machine Learning in Healthcare(4)

Publications51 total

Mixed Magnification Aggregation for Generalizable Region-Level Representations in Computational Pathology
ArXiv.org·2026Open Access
Mixed Magnification Aggregation for Generalizable Region-Level Representations in Computational Pathology
arXiv (Cornell University)·2026Open Access
Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter
Matter·2025· 2 citedOpen Access
PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue
arXiv (Cornell University)·2025Open Access
PTC Mathcad for Chemical Engineering
2025
Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
arXiv (Cornell University)·2024· 38 citedOpen Access
A foundation model for clinical-grade computational pathology and rare cancers detection
Nature Medicine·2024· 290 citedOpen Access
Improving Mitosis Detection on Histopathology Images Using Large Vision-Language Models
2024· 3 cited
PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology
arXiv (Cornell University)·2024· 12 citedOpen Access
Adapting Self-Supervised Learning for Computational Pathology
arXiv (Cornell University)·2024· 2 citedOpen Access
Bayesian design of concrete with amortized Gaussian processes and multi-objective optimization
Cement and Concrete Research·2024· 23 cited
Closed-Loop Optimization Using Machine Learning for the Accelerated Design of Sustainable Cements Incorporating Algal Biomatter
SSRN Electronic Journal·2024Open Access
Improving mitosis detection on histopathology images using large vision-language models
arXiv (Cornell University)·2023· 2 citedOpen Access
An Open-Access Model for Parkinson's Disease Progression
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data
Nature Computational Science·2022· 48 citedOpen Access
Statistical Learning for Accurate and Interpretable Battery Lifetime Prediction
Journal of The Electrochemical Society·2021· 4 citedOpen Access
LB752 A cross sectional survey of skin cancer knowledge, attitudes, and sun care practices in an underserved Phoenix population
Journal of Investigative Dermatology·2021
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning
The Lancet Digital Health·2021· 77 citedOpen Access
Identifying Patterns of ALS Progression from Sparse Longitudinal Data
2021· 6 citedOpen Access
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.
Machine Learning for Healthcare Conference·2020· 3 cited
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Frequent Co-authors

Richard D. Braatz(13), Kenney Ng(9), Soumya Ghosh(8), Adam Casson(7), Neil Tenenholtz(7), Michal Zelechowski(6), Peter M. Attia(5), Eugene Vorontsov(5), George Shaikovski(5), Eric Zimmermann(5), James M. Hall(5), Julian Viret(5), Zi Yang(4), Muratahan Aykol(4), Nicolò Fusi(4), Thomas J. Fuchs(4), Norman Jin(3), Nicholas Perkins(3), Michael H. Chen(3), Patrick K. Herring(3)