Alexander Pearson to Algorithms
This is a "connection" page, showing publications Alexander Pearson has written about Algorithms.
Connection Strength
0.564
-
Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features. Sci Adv. 2024 Nov 15; 10(46):eadq0856.
Score: 0.133
-
Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning. EBioMedicine. 2024 Sep; 107:105276.
Score: 0.131
-
Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary. Haematologica. 2023 08 01; 108(8):1993-2010.
Score: 0.122
-
Academics as leaders in the cancer artificial intelligence revolution. Cancer. 2021 03 01; 127(5):664-671.
Score: 0.101
-
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance. Comput Biol Med. 2024 06; 175:108410.
Score: 0.032
-
Machine learning can identify newly diagnosed patients with CLL at high risk of infection. Nat Commun. 2020 01 17; 11(1):363.
Score: 0.024
-
A mathematical model for IL-6-mediated, stem cell driven tumor growth and targeted treatment. PLoS Comput Biol. 2018 01; 14(1):e1005920.
Score: 0.021