Co-Authors
This is a "connection" page, showing publications co-authored by Alexander Pearson and James Dolezal.
Connection Strength
4.466
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Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. BMC Bioinformatics. 2024 Mar 27; 25(1):134.
Score: 0.994
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Deep learning generates synthetic cancer histology for explainability and education. NPJ Precis Oncol. 2023 May 29; 7(1):49.
Score: 0.939
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Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology. Nat Commun. 2022 11 02; 13(1):6572.
Score: 0.902
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Deep learning prediction of BRAF-RAS gene expression signature identifies noninvasive follicular thyroid neoplasms with papillary-like nuclear features. Mod Pathol. 2021 05; 34(5):862-874.
Score: 0.791
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Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence. NPJ Breast Cancer. 2023 Apr 14; 9(1):25.
Score: 0.233
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Applications of Deep Learning in Endocrine Neoplasms. Surg Pathol Clin. 2023 Mar; 16(1):167-176.
Score: 0.227
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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: 0.206
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Machine learning for detection and classification of oral potentially malignant disorders: A conceptual review. J Oral Pathol Med. 2023 Mar; 52(3):197-205.
Score: 0.058
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Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images. Front Med (Lausanne). 2023; 10:1058919.
Score: 0.058
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The EU-funded I3LUNG Project: Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy. Clin Lung Cancer. 2023 06; 24(4):381-387.
Score: 0.058