James M. Dolezal

Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 19 papers. Top paper: “The impact of site-specific digital histology signatures on deep learning model accuracy and bias”.

The impact of site-specific digital histology signatures on deep learning model accuracy and bias

Nature Communications(2021)10.1038/s41467-021-24698-1

N/A

0DataRank · unranked

293 citations

James M. Dolezal, Sara Kochanny, Jefree J. Schulte, Heather Chen, Lara R. Heij +8 more

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

Nature Communications(2022)10.1038/s41467-022-34025-x

N/A

0DataRank · unranked

125 citations

Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody +11 more

Applications of Deep Learning in Endocrine Neoplasms

Surgical pathology clinics(2022)10.1016/j.path.2022.09.014

N/A

0DataRank · unranked

4 citations

James M. Dolezal, Alexander T. Pearson, Siddhi Ramesh

Multimodal Prediction of Breast Cancer Recurrence Assays and Risk of Recurrence

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.07.499039

N/A

0DataRank · unranked

7 citations

James M. Dolezal, Sara Kochanny, Galina Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn +8 more

The use of artificial intelligence with uncertainty estimation to predict lung cancer relapse from histopathology.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.8549

N/A

0DataRank · unranked

1 citations

Sara Kochanny, Annie Zhu, Sagar Rakshit, Radhika Bansal, Melanie C. Bois +6 more

Drug response prediction in patient-derived xenografts with data augmentation and multimodal deep learning.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.e13572

N/A

0DataRank · unranked

0 citations

Thomas Brettin, Yitan Zhu, Maulik Shukla, Fangfang Xia, Hyunseung Yoo +7 more

Deep learning generates synthetic cancer histology for explainability and education

npj Precision Oncology(2023)10.1038/s41698-023-00399-4

N/A

0DataRank · unranked

72 citations

Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev +18 more

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)10.1038/s41523-023-00530-5

N/A

0DataRank · unranked

62 citations

James M. Dolezal, Sara Kochanny, Galina Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn +8 more

Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images

Frontiers in Medicine(2023)10.3389/fmed.2023.1058919

N/A

0DataRank · unranked

13 citations

Thomas Brettin, Yitan Zhu, James M. Dolezal, Sara Kochanny, Alexander T. Pearson +5 more

What is the ideal endpoint in early-stage immunotherapy neoadjuvant trials in lung cancer?

Therapeutic Advances in Medical Oncology(2023)10.1177/17588359231198446

N/A

0DataRank · unranked

7 citations

Jacobi Hines, Valter Torri, Luca Porcu, Jessica Donington, Christine M. Bestvina +5 more

Artificial intelligence-based cancer progression prediction of oral premalignant lesions via self-supervised deep learning on histopathology.

JCO Global Oncology(2023)10.1200/go.2023.9.supplement_1.90

N/A

0DataRank · unranked

3 citations

James M. Dolezal, Sara Kochanny, Emily Lanzel, Yih‐Leong Chang, Chen‐Tu Wu +15 more

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

BMC Bioinformatics(2024)10.1186/s12859-024-05758-x

N/A

0DataRank · unranked

68 citations

Sara Kochanny, Emma Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Antonio Sacco +5 more

Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology

npj Precision Oncology(2024)10.1038/s41698-024-00745-0

N/A

0DataRank · unranked

16 citations

Emma Dyer, Monica Pomaville, Kristina Doytcheva, James M. Dolezal, Sara Kochanny +16 more

Developing a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning

EBioMedicine(2024)10.1016/j.ebiom.2024.105276

N/A

0DataRank · unranked

14 citations

James M. Dolezal, Emma Dyer, Sara Kochanny, Siddhi Ramesh, Frederick M. Howard +7 more

Generative Adversarial Networks Accurately Reconstruct Pan-Cancer Histology from Pathologic, Genomic, and Radiographic Latent Features

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.22.586306

N/A

0DataRank · unranked

3 citations

Hanna M. Hieromnimon, Siddhi Ramesh, James M. Dolezal, Sara Kochanny, Qianchen Zhang +10 more

Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology

Research Square(2024)10.21203/rs.3.rs-4396782/v1

N/A

0DataRank · unranked

1 citations

Siddhi Ramesh, Emma Dyer, Monica Pomaville, Kristina Doytcheva, James M. Dolezal +13 more

Analysis of AI foundation model features decodes the histopathologic landscape of HPV-positive head and neck squamous cell carcinomas

Oral Oncology(2025)10.1016/j.oraloncology.2025.107207

N/A

0DataRank · unranked

9 citations

Anna Trzcinska, Frank Wen, Frederick M. Howard, James M. Dolezal, Emma Dyer +19 more

Deep learning discriminates thymic epithelial tumors’ histological subtypes using digital pathology

Annals of Oncology(2025)10.1016/j.annonc.2025.12.003

N/A

0DataRank · unranked

1 citations

Erica Pietroluongo, Anna Di Lello, Mirella Marino, Alexander McGeough, A. Esposito +8 more

Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer

medRxiv(2025)10.1101/2025.08.25.25334393

N/A

0DataRank · unranked

0 citations

James M. Dolezal, Hanna M. Hieromnimon, Sara J. Venters, Sara Kochanny, Anran Li +31 more