Siddhi Ramesh

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 11 papers. Top paper: “Slideflow: deep learning for digital histopathology with real-time whole-slide visualization”.

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

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

N/A

0.635DataRank · unranked

68 citations

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

Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers

npj Digital Medicine(2023)10.1038/s41746-023-00819-6

N/A

0DataRank · unranked

675 citations

Frederick M. Howard, Nikolay S. Markov, Emma Dyer, Siddhi Ramesh, Yuan Luo +2 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

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

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

Predicting response to chemotherapy in neuroblastoma using deep learning: A report from the International Neuroblastoma Risk Group.

Journal of Clinical Oncology(2021)10.1200/jco.2021.39.15_suppl.10039

N/A

0DataRank · unranked

2 citations

Diana Michael, Liu Liu, Nicholas Feinberg, Meaghan Granger, Arlene Naranjo +5 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