Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Severson, Kristen A"'
Autor:
Zimmermann, Eric, Vorontsov, Eugene, Viret, Julian, Casson, Adam, Zelechowski, Michal, Shaikovski, George, Tenenholtz, Neil, Hall, James, Klimstra, David, Yousfi, Razik, Fuchs, Thomas, Fusi, Nicolo, Liu, Siqi, Severson, Kristen
Foundation models are rapidly being developed for computational pathology applications. However, it remains an open question which factors are most important for downstream performance with data scale and diversity, model size, and training algorithm
Externí odkaz:
http://arxiv.org/abs/2408.00738
Autor:
Shaikovski, George, Casson, Adam, Severson, Kristen, Zimmermann, Eric, Wang, Yi Kan, Kunz, Jeremy D., Retamero, Juan A., Oakley, Gerard, Klimstra, David, Kanan, Christopher, Hanna, Matthew, Zelechowski, Michal, Viret, Julian, Tenenholtz, Neil, Hall, James, Fusi, Nicolo, Yousfi, Razik, Hamilton, Peter, Moye, William A., Vorontsov, Eugene, Liu, Siqi, Fuchs, Thomas J.
Foundation models in computational pathology promise to unlock the development of new clinical decision support systems and models for precision medicine. However, there is a mismatch between most clinical analysis, which is defined at the level of o
Externí odkaz:
http://arxiv.org/abs/2405.10254
Autor:
Zimmermann, Eric, Tenenholtz, Neil, Hall, James, Shaikovski, George, Zelechowski, Michal, Casson, Adam, Milletari, Fausto, Viret, Julian, Vorontsov, Eugene, Liu, Siqi, Severson, Kristen
Self-supervised learning (SSL) has emerged as a key technique for training networks that can generalize well to diverse tasks without task-specific supervision. This property makes SSL desirable for computational pathology, the study of digitized ima
Externí odkaz:
http://arxiv.org/abs/2405.01688
In certain types of cancerous tissue, mitotic count has been shown to be associated with tumor proliferation, poor prognosis, and therapeutic resistance. Due to the high inter-rater variability of mitotic counting by pathologists, convolutional neura
Externí odkaz:
http://arxiv.org/abs/2310.07176
Autor:
Pfeiffer, Olivia P., Gong, Kai, Severson, Kristen A., Chen, Jie, Gregory, Jeremy R., Ghosh, Soumya, Goodwin, Richard T., Olivetti, Elsa A.
Publikováno v:
In Cement and Concrete Research March 2024 177
Data-driven methods for battery lifetime prediction are attracting increasing attention for applications in which the degradation mechanisms are poorly understood and suitable training sets are available. However, while advanced machine learning and
Externí odkaz:
http://arxiv.org/abs/2101.01885
Autor:
Severson, Kristen Ann
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 187-210).
Chemical and biological systems are increasingl
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 187-210).
Chemical and biological systems are increasingl
Externí odkaz:
http://hdl.handle.net/1721.1/117914
Autor:
Kwon, Bum Chul, Anand, Vibha, Severson, Kristen A, Ghosh, Soumya, Sun, Zhaonan, Frohnert, Brigitte I, Lundgren, Markus, Ng, Kenney
Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease progression modeling is to describe patient status using a small number
Externí odkaz:
http://arxiv.org/abs/1904.11652
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In unsupervised learning, dimensionality reduction is an important tool for data exploration and visualization. Because these aims are typically open-ended, it can be useful to frame the problem as looking for patterns that are enriched in one datase
Externí odkaz:
http://arxiv.org/abs/1811.06094