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
Kristen Severson
Chercheur principal
Papiers de Collaboration
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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
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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
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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
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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, Vol 27(9): pp. 3685-3700
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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
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Unsupervised Learning with Contrastive Latent Variable Models
Kristen Severson, Soumya Ghosh, Kenney Ng
2019 National Conference on Artificial Intelligence | July 2019
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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
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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
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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
-
-
-
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
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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
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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
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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, Vol 27(9): pp. 3685-3700
-
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
-
Unsupervised Learning with Contrastive Latent Variable Models
Kristen Severson, Soumya Ghosh, Kenney Ng
2019 National Conference on Artificial Intelligence | July 2019
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-
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
-
-
-
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
-
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, Vol 27(9): pp. 3685-3700
-
-
-
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
-
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
-
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
-
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
-
-
-
Unsupervised Learning with Contrastive Latent Variable Models
Kristen Severson, Soumya Ghosh, Kenney Ng
2019 National Conference on Artificial Intelligence | July 2019
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