David A. Jaffray

The University of Texas MD Anderson Cancer Center

Physics and AstronomyMedicineEngineering

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 18 papers. Top paper: “Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study”.

Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00082-1

N/A

0.708DataRank · unranked

111 citations

Lingzhi Hong, Muhammad Aminu, Natalie I. Vokes, Pingjun Chen, Morteza Salehjahromi +44 more

Radiological tumour classification across imaging modality and histology

Nature Machine Intelligence(2021)10.1038/s42256-021-00377-0

N/A

0.685DataRank · unranked

95 citations

Chao Li, Michael F. Gensheimer, Sukhmani K. Padda, Fumi Kato, Hiroki Shirato +11 more

Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights

Nature Communications(2024)10.1038/s41467-024-47512-0

N/A

0.672DataRank · unranked

87 citations

Muhammad Aminu, Tatiana V. Karpinets, Pingjun Chen, Maliazurina B. Saad, Morteza Salehjahromi +32 more

Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept

Cell Reports Medicine(2024)10.1016/j.xcrm.2024.101463

N/A

0.546DataRank · unranked

37 citations

Tatiana V. Karpinets, Sheeba J. Sujit, Mohamed Qayati, Pingjun Chen, Muhammad Aminu +32 more

SwarmDeepSurv: swarm intelligence advances deep survival network for prognostic radiomics signatures in four solid cancers

Patterns(2023)10.1016/j.patter.2023.100777

N/A

0.416DataRank · unranked

15 citations

Maliazurina B. Saad, Ajay Sheshadri, Carol C. Wu, Joe Y. Chang, Bissan Al‐Lazikani +9 more

Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19

Cancers(2022)10.3390/cancers15010275

N/A

0.373DataRank · unranked

11 citations

Divya Yadav, Lingzhi Hong, Elliana Young, Paul Edelkamp, Maliazurina B. Saad +23 more

Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC

Nature Communications(2025)10.1038/s41467-025-61823-w

N/A

0.312DataRank · unranked

7 citations

Qasem Al-Tashi, Lingzhi Hong, Vivek Verma, Wentao Li, Daniel Boiarsky +32 more

Causal AI-based clinical and radiomic analysis for optimizing patient selection in combined immunotherapy and SABR in early-stage NSCLC: a secondary analysis of the phase II I-SABR trial

Journal for ImmunoTherapy of Cancer(2025)10.1136/jitc-2025-013074

N/A

0.241DataRank · unranked

4 citations

Eman Showkatian, Vivek Verma, Qasem Al-Tashi, Muhammad Aminu, Xinyan Xu +17 more

Joint multi-omics discriminant analysis with consistent representation learning using PANDA

Research Square(2024)10.21203/rs.3.rs-4353037/v1

N/A

0.217DataRank · unranked

2 citations

Muhammad Aminu, Lingzhi Hong, Natalie I. Vokes, Stephanie Schmidt, Maliazurina B. Saad +15 more

Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients

Cancers(2025)10.3390/cancers17213406

N/A

0.104DataRank · unranked

1 citations

Hui Li, Eman Showkatian, Maliazurina B. Saad, Mohamed Qayati, Sohair Ismail +25 more

Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence–Ready Informatics Ecosystem for Radiation Oncology

JCO Clinical Cancer Informatics(2023)10.1200/cci.23.00136

N/A

0DataRank · unranked

1 citations

Michael F. Gensheimer, David A. Jaffray, Daniel A. Pryma, Steve Jiang, Olivier Morin +22 more

Impact of PET scanner non-linearity on the estimation of hypoxic fraction in cervical cancer patients

Physica Medica(2021)10.1016/j.ejmp.2021.11.009

N/A

0DataRank · unranked

4 citations

Kathy Han, Michael Milosevic, Ivan Yeung, David A. Jaffray, Jennifer Gottwald

Noise-Based Image Harmonization Significantly Increases Repeatability and Reproducibility of Radiomics Features in PET Images: A Phantom Study

Tomography(2022)10.3390/tomography8020091

N/A

0DataRank · unranked

19 citations

Tina Shek, Brandon Driscoll, Yiwen Xu, Brian Nghiem, Sadek A. Nehmeh +12 more

Predictive Radiation Oncology – A New NCI–DOE Scientific Space and Community

Radiation Research(2022)10.1667/rade-22-00012.1

N/A

0DataRank · unranked

8 citations

David A. Jaffray, Demba Ba, Lynn L. Borkon, Christine Chalk, Caroline Chung +17 more

Characterizing the interplay of treatment parameters and complexity and their impact on performance on an IROC IMRT phantom using machine learning

Radiotherapy and Oncology(2023)10.1016/j.radonc.2023.109577

N/A

0DataRank · unranked

4 citations

A Molineu, Nadia Hernandez, Laurence E. Court, Rebecca M. Howell, David A. Jaffray +4 more

Pharmacokinetic Analysis of Dynamic [18F]FAZA PET Imaging in Pancreatic Cancer Patient

Research Square (Research Square)(2020)10.21203/rs.3.rs-39968/v1

N/A

0DataRank · unranked

0 citations

Edward Taylor, Ivan Yeung, David A. Jaffray, Ur Metser, Neesha C. Dhani +3 more

Radiotherapy and theranostics: a Lancet Oncology Commission

The Lancet Oncology(2024)10.1016/s1470-2045(24)00407-8

N/A

0DataRank · unranked

125 citations

Francesco Giammarile, M. Carrara, Diana Páez, Hedvig Hricak, Nayyereh Ayati +47 more

CoCo-ST: Comparing and Contrasting Spatial Transcriptomics data sets using graph contrastive learning

Research Square(2024)10.21203/rs.3.rs-4359834/v1

N/A

0DataRank · unranked

0 citations

Muhammad Aminu, Bo Zhu, Natalie I. Vokes, Hong Chen, Lingzhi Hong +18 more