Co-Authors
This is a "connection" page, showing publications co-authored by Alexander Pearson and Frederick Howard.
Connection Strength
4.477
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Multimodal deep learning: An improvement in prognostication or a reflection of batch effect? Cancer Cell. 2023 01 09; 41(1):5-6.
Score: 0.975
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The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 07 20; 12(1):4423.
Score: 0.891
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Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer. JAMA Netw Open. 2020 11 02; 3(11):e2025881.
Score: 0.848
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Prognosis and Treatment of Non-Small Cell Lung Cancer in the Age of Deep Learning. JAMA Netw Open. 2020 06 01; 3(6):e206368.
Score: 0.824
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Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform. Breast Cancer Res Treat. 2022 Nov; 196(1):57-66.
Score: 0.241
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Clinical trials of immunotherapy in triple-negative breast cancer. Breast Cancer Res Treat. 2022 Aug; 195(1):1-15.
Score: 0.238
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Development and Validation of a Decision Analytical Model for Posttreatment Surveillance for Patients With Oropharyngeal Carcinoma. JAMA Netw Open. 2022 04 01; 5(4):e227240.
Score: 0.234
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The emerging role of immune checkpoint inhibitors for the treatment of breast cancer. Expert Opin Investig Drugs. 2022 Jun; 31(6):531-548.
Score: 0.226