Co-Authors
This is a "connection" page, showing publications co-authored by Alexander Pearson and James Dolezal.
Connection Strength
5.320
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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: 0.847
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Deep learning generates synthetic cancer histology for explainability and education. NPJ Precis Oncol. 2023 May 29; 7(1):49.
Score: 0.799
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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: 0.768
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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: 0.674
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Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer. medRxiv. 2025 Aug 27.
Score: 0.233
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Corrigendum to "Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas". [Oral Oncol. 163 (2025) 107207]. Oral Oncol. 2025 Oct; 169:107510.
Score: 0.232
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Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas. Oral Oncol. 2025 Apr; 163:107207.
Score: 0.226
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Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features. Sci Adv. 2024 11 15; 10(46):eadq0856.
Score: 0.221
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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: 0.218
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Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology. Res Sq. 2024 Jun 04.
Score: 0.214
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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: 0.198
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Applications of Deep Learning in Endocrine Neoplasms. Surg Pathol Clin. 2023 Mar; 16(1):167-176.
Score: 0.194
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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: 0.176
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Virtual multiplex immunofluorescence identifies lymphocyte subsets predictive of response to neoadjuvant therapy. Ther Adv Med Oncol. 2025; 17:17588359251379411.
Score: 0.059
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Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine. Genome Med. 2025 Aug 07; 17(1):87.
Score: 0.058
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Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology. NPJ Precis Oncol. 2024 Nov 08; 8(1):255.
Score: 0.055
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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: 0.049
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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: 0.049
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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: 0.049