Alexander T. Pearson

According to our database, Alexander T. Pearson authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization.

James M. Dolezal, Sara Kochanny, Emma C. Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson

BMC Bioinform., December, 2024

Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance.

Jan Moritz Niehues, Gustav Müller-Franzes, Yoni Schirris, Sophia J. Wagner, Michael Jendrusch, Matthias Kloor, Alexander T. Pearson, Hannah Sophie Muti, Katherine Jane Hewitt, Gregory Patrick Veldhuizen, Laura Zigutyte, Daniel Truhn, Jakob Nikolas Kather

Comput. Biol. Medicine, 2024

2023

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers.

Catherine A. Gao, Frederick M. Howard, Nikolay S. Markov, Emma C. Dyer, Siddhi Ramesh, Yuan Luo, Alexander T. Pearson

npj Digit. Medicine, 2023

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization.

James M. Dolezal, Sara Kochanny, Emma C. Dyer, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson

CoRR, 2023

2022

Classical mathematical models for prediction of response to chemotherapy and immunotherapy.

Narmin Ghaffari Laleh, Chiara Maria Lavinia Loeffler, Julia Grajek, Katerina Stanková, Alexander T. Pearson, Hannah Sophie Muti, Christian Trautwein, Heiko Enderling, Jan Poleszczuk, Jakob Nikolas Kather

PLoS Comput. Biol., 2022

Deep Learning Generates Synthetic Cancer Histology for Explainability and Education.

James M. Dolezal, Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Jung Woo Kwon, Meghana Agni, Richard C. Simon, Chandni Desai, Raghad Kherallah, Tung D. Nguyen, Jefree J. Schulte, Kimberly Cole, Galina Khramtsova, Marina Chiara Garassino, Aliya N. Husain, Huihua Li, Robert Grossman, Nicole A. Cipriani, Alexander T. Pearson

CoRR, 2022

Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology.

James M. Dolezal, Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody, Aaron Mansfield, Sagar Rakshit, Radhika Bansa, Melanie Bois, Aaron O. Bungum, Jefree J. Schulte, Everett E. Vokes, Marina Chiara Garassino, Aliya N. Husain, Alexander T. Pearson

CoRR, 2022

2021

COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity.

Vladimir Naumov, Evgeny Putin, Stefan Pushkov, Ekaterina Kozlova, Konstantin Romantsov, Alexander A. Kalashnikov, Fedor Galkin, Nina Tihonova, Anastasia Shneyderman, Egor Galkin, Arsenii Zinkevich, Stephanie M. Cope, Ramanathan Sethuraman, Tudor I. Oprea, Alexander T. Pearson, Savas Tay, Nishant Agrawal, Alexey Dubovenko, Quentin Vanhaelen, Ivan Ozerov, Alex Aliper, Evgeny Izumchenko, Alex Zhavoronkov

PLoS Comput. Biol., 2021

2018

A mathematical model for IL-6-mediated, stem cell driven tumor growth and targeted treatment.

Fereshteh Nazari, Alexander T. Pearson, Jacques Eduardo Nör, Trachette L. Jackson

PLoS Comput. Biol., 2018