Kristen Severson

Principal Researcher

出版物

表示方法:

- Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter
  
  Meng-Yen Lin, Kristen Severson, Paul Grandgeorge, Eleftheria Roumeli
  
  Matter | July 2025
  
  Publication
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
  
  Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson
  
  July 2024
  
  Publication
- Virchow: A Million-Slide Digital Pathology Foundation Model
  
  Eugene Vorontsov, A. Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kun, Matthew C. H. Le, Jan H Bernhard, R. Godrich, Gerard Oakley, Ewan Millar, Matthew G Hanna, J. Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, D. Klimstra, B. Rothrock, Thomas J. Fuchs
  
  September 2023
  
  DOI Publication Publication Publication
- Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning
  
  Kristen Severson, Lana M Chahine, Luba A Smolensky, Murtaza Dhuliawala, Mark Frasier, Kenney Ng, Soumya Ghosh, Jianying Hu
  
  July 2021
  
  DOI
- DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.
  
  Bum Chul Kwon, Vibha Anand, Kristen Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I Frohnert, Markus Lundgren, Kenney Ng
  
  IEEE Transactions on Visualization and Computer Graphics | April 2020, 巻27(9): pp. 3685-3700
  
  DOI
- Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.
  
  Kristen Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh
  
  December 2019
  
  Publication
- Unsupervised Learning with Contrastive Latent Variable Models
  
  Kristen Severson, Soumya Ghosh, Kenney Ng
  
  2019 National Conference on Artificial Intelligence | July 2019
  
  DOI

- Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter
  
  Meng-Yen Lin, Kristen Severson, Paul Grandgeorge, Eleftheria Roumeli
  
  Matter | July 2025
  
  Publication
- Virchow: A Million-Slide Digital Pathology Foundation Model
  
  Eugene Vorontsov, A. Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kun, Matthew C. H. Le, Jan H Bernhard, R. Godrich, Gerard Oakley, Ewan Millar, Matthew G Hanna, J. Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, D. Klimstra, B. Rothrock, Thomas J. Fuchs
  
  September 2023
  
  DOI Publication Publication Publication
- Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter
  
  Meng-Yen Lin, Kristen Severson, Paul Grandgeorge, Eleftheria Roumeli
  
  Matter | July 2025
  
  Publication
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
  
  Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson
  
  July 2024
  
  Publication
- Virchow: A Million-Slide Digital Pathology Foundation Model
  
  Eugene Vorontsov, A. Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kun, Matthew C. H. Le, Jan H Bernhard, R. Godrich, Gerard Oakley, Ewan Millar, Matthew G Hanna, J. Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, D. Klimstra, B. Rothrock, Thomas J. Fuchs
  
  September 2023
  
  DOI Publication Publication Publication
- Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning
  
  Kristen Severson, Lana M Chahine, Luba A Smolensky, Murtaza Dhuliawala, Mark Frasier, Kenney Ng, Soumya Ghosh, Jianying Hu
  
  July 2021
  
  DOI
- DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.
  
  Bum Chul Kwon, Vibha Anand, Kristen Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I Frohnert, Markus Lundgren, Kenney Ng
  
  IEEE Transactions on Visualization and Computer Graphics | April 2020, 巻27(9): pp. 3685-3700
  
  DOI
- Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.
  
  Kristen Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh
  
  December 2019
  
  Publication
- Unsupervised Learning with Contrastive Latent Variable Models
  
  Kristen Severson, Soumya Ghosh, Kenney Ng
  
  2019 National Conference on Artificial Intelligence | July 2019
  
  DOI
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
  
  Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson
  
  July 2024
  
  Publication

- Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter
  
  Meng-Yen Lin, Kristen Severson, Paul Grandgeorge, Eleftheria Roumeli
  
  Matter | July 2025
  
  Publication
- DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.
  
  Bum Chul Kwon, Vibha Anand, Kristen Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I Frohnert, Markus Lundgren, Kenney Ng
  
  IEEE Transactions on Visualization and Computer Graphics | April 2020, 巻27(9): pp. 3685-3700
  
  DOI
- Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology
  
  Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil Tenenholtz, Jimmy Hall, Thomas J. Fuchs, Nicolo Fusi, Siqi Liu, Kristen Severson
  
  July 2024
  
  Publication
- Virchow: A Million-Slide Digital Pathology Foundation Model
  
  Eugene Vorontsov, A. Bozkurt, Adam Casson, George Shaikovski, Michal Zelechowski, Siqi Liu, Kristen Severson, Eric Zimmermann, James Hall, Neil Tenenholtz, Nicolo Fusi, Philippe Mathieu, Alexander van Eck, Donghun Lee, Julian Viret, Eric Robert, Yi Kan Wang, Jeremy D. Kun, Matthew C. H. Le, Jan H Bernhard, R. Godrich, Gerard Oakley, Ewan Millar, Matthew G Hanna, J. Retamero, William A. Moye, Razik Yousfi, Christopher Kanan, D. Klimstra, B. Rothrock, Thomas J. Fuchs
  
  September 2023
  
  DOI Publication Publication Publication
- Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning
  
  Kristen Severson, Lana M Chahine, Luba A Smolensky, Murtaza Dhuliawala, Mark Frasier, Kenney Ng, Soumya Ghosh, Jianying Hu
  
  July 2021
  
  DOI
- Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.
  
  Kristen Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh
  
  December 2019
  
  Publication
- Unsupervised Learning with Contrastive Latent Variable Models
  
  Kristen Severson, Soumya Ghosh, Kenney Ng
  
  2019 National Conference on Artificial Intelligence | July 2019
  
  DOI

Kristen Severson

出版物

Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Virchow: A Million-Slide Digital Pathology Foundation Model

Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning

DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.

Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.

Unsupervised Learning with Contrastive Latent Variable Models

Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter

Virchow: A Million-Slide Digital Pathology Foundation Model

Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Virchow: A Million-Slide Digital Pathology Foundation Model

Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning

DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.

Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.

Unsupervised Learning with Contrastive Latent Variable Models

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Closed-loop optimization using machine learning for the accelerated design of sustainable cements incorporating algal biomatter

DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology

Virchow: A Million-Slide Digital Pathology Foundation Model

Discovery of Parkinson’s disease states and disease progression modelling: a longitudinal data study using machine learning

Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.

Unsupervised Learning with Contrastive Latent Variable Models

お問い合わせ Kristen Severson

Microsoft Research Lab – New England