Our full publication list can be found on Google Scholar. We’d like to highlight the following studies.
Selected Publications
2024
HT Tran, S Heeke, S Sujit, N Vokes, J Zhang, M Aminu, VK Lam, A Vaporciyan, SG Swisher, MCB Godoy, T Cascone, B Sepesi, DL Gibbons, J Wu*, JV Heymach. Circulating tumor DNA and radiological tumor volume identify patients at risk for relapse with resected, early-stage non–small cell lung cancer. Annals of Oncology, 2024. Editor’s Choice.
* co-senior author
2023
Chen P, Rojas FR, Hu X, Serrano A, Zhu B, Chen H, Hong L, Bandyoyadhyay R, Aminu M, Kalhor N, Lee JJ, El Hussein S, Khoury JD, Pass HI, Moreira AL, Velcheti V, Sterman DH, Fukuoka J, Tabata K, Su D, Ying L, Gibbons DL, Heymach JV, Wistuba II, Fujimoto J, Solis Soto LM, Zhang J, Wu J. Pathomic Features Reveal Immune and Molecular Evolution from Lung Preneoplasia to Invasive Adenocarcinoma. Modern Pathology, 2023.
Muhammad Aminu, Naval Daver, Myrna C.B. Godoy, Girish Shroff, Carol Wu, Luis F. Torre-Sada, Alberto Goizueta, Vickie R. Shannon, Saadia A. Faiz, Mehmet Altan, Guillermo Garcia-Manero, Hagop Kantarjian, Farhad Ravandi-Kashani, Tapan Kadia, Marina Konopleva, Courtney DiNardo, Sherry Pierce, Aung Naing, Sang T. Kim, Dimitrios P. Kontoyiannis, Fareed Khawaja, Caroline Chung, Jia Wu*, Ajay Sheshadri. Heterogenous lung inflammation CT patterns distinguish pneumonia and immune checkpoint inhibitor pneumonitis and complement blood biomarkers in acute myeloid leukemia: proof of concept. Frontiers in Immunology, 2023.
* co-senior & corresponding author
Qasem Al-Tashi, Maliazurina B. Saad, Ajay Sheshadri, Carol C. Wu, Joe Y Chang, Bissan Al-Lazikani, Christopher Gibbons, Natalie I. Vokes, Jianjun Zhang, J. Jack Lee, John V. Heymach, David Jaffray, Seyedali Mirjalili, Jia Wu. SwarmDeepSurv: Swarm Intelligence Advances Deep Survival Network for Prognostic Radiomics Signatures in Four Solid Cancers. Patterns, 2023.
Maliazurina B Saad, Lingzhi Hong, Muhammad Aminu, Natalie I Vokes, Pingjun Chen, Morteza Salehjahromi, Kang Qin, Sheeba J Sujit, Xuetao Lu, Elliana Young, Qasem Al-Tashi, Rizwan Qureshi, Carol C Wu, Brett W Carter, Steven H Lin, Percy P Lee, Saumil Gandhi, Joe Y Chang, Ruijiang Li, Michael F Gensheimer, Heather A Wakelee, Joel W Neal, Hyun-Sung Lee, Chao Cheng, Vamsidhar Velcheti, Yanyan Lou, Milena Petranovic, Waree Rinsurongkawong, Xiuning Le, Vadeerat Rinsurongkawong, Amy Spelman, Yasir Y Elamin, Marcelo V Negrao, Ferdinandos Skoulidis, Carl M Gay, Tina Cascone, Mara B Antonoff, Boris Sepesi, Jeff Lewis, Ignacio I Wistuba, John D Hazle, Caroline Chung, David Jaffray, Don L Gibbons, Ara Vaporciyan, J Jack Lee, John V Heymach, Jianjun Zhang, Jia Wu. 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. Editorial comment by Nicola Sverzellati, Cristina Marrocchio.
Hong L, Aminu M, Li S, Lu X, Petranovic M, Saad MB, Chen P, Qin K, Varghese S, Rinsurongkawong W, Rinsurongkawong V, Spelman A, Elamin YY, Negrao MV, Skoulidis F, Gay CM, Cascone T, Gandhi SJ, Lin SH, Lee PP, Carter BW, Wu CC, Antonoff MB, Sepesi B, Lewis J, Gibbons DL, Vaporciyan AA, Le X, Jack Lee J, Roy-Chowdhuri S, Routbort MJ, Gainor JF, Heymach JV, Lou Y, Wu J*, Zhang J, Vokes NI. Efficacy and clinicogenomic correlates of response to immune checkpoint inhibitors alone or with chemotherapy in non-small cell lung cancer. Nature Communications, 2023.
* co-senior author
2022
El Hussein S, Chen P, Medeiros LJ, Hazle JD, Wu J*, Khoury JD. Artificial intelligence-assisted mapping of proliferation centers allows the distinction of accelerated phase from large cell transformation in chronic lymphocytic leukemia. Modern Pathology, 2022. Monthly readers’ choice
* co-senior & corresponding author
Wu J*, Mayer AT, Li R. Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy. Seminars in Cancer Biology, 2022.
* corresponding author
Jimenez JE, Dai D, Xu G, Zhao R, Li T, Pan T, Wang L, Lin Y, Wang Z, Jaffray D, Hazle JD, Macapinlac HA, Wu J*, Lu Y. Lesion-Based Radiomics Signature in Pretherapy 18F-FDG PET Predicts Treatment Response to Ibrutinib in Lymphoma. Clinical Nuclear Medicine, 2022.
* co-senior & corresponding author
El Hussein S, Chen P, Medeiros LJ, Wistuba II, Jaffray D, Wu J*, Khoury JD. Artificial intelligence strategy integrating morphologic and architectural biomarkers provides robust diagnostic accuracy for disease progression in chronic lymphocytic leukemia. Journal of Pathology, 2022. Editorial commentary by Anna Merino, José Rodellar
* co-senior & corresponding author
2021
Chen, P., Aminu, M., El Hussein, S., Khoury, J.D. and Wu, J. Hierarchical phenotyping and graph modeling of spatial architecture in lymphoid neoplasms. International Conference on Medical Image Computing and Computer-Assisted Intervention
(MICCAI), 2021.
Wu J*, Li C, Gensheimer M, Padda S, Kato F, Shirato H, Wei Y, Schönlieb CB, Price SJ, Jaffray D, Heymach J, Neal JW, Loo BW, Wakelee H, Diehn M, Li R. Radiological tumor classification across imaging modality and histology. Nat Mach Intell 3:787-798, 9/2021. e-Pub 8/2021. PMCID: PMC8612063. Editorial Commentary by Yue Wang & David M. Herrington, Machine intelligence enabled radiomics. News highlight
by MD Anderson
* Lead contact
2020
Wu J, Gensheimer MF, Zhang N, Guo M, Liang R, Zhang C, Fischbein N, Pollom EL, Beadle B, Le QT, Li R. Tumor Subregion Evolution-Based Imaging Features to Assess Early Response and Predict Prognosis in Oropharyngeal Cancer. Journal of Nuclear Medicine, 2020.
Zhang N, Liang R, Gensheimer MF, Guo M, Zhu H, Yu J, Diehn M, Loo BW, Li R, Wu
J. Early response evaluation using primary tumor and nodal imaging features to predict progression-free survival of locally advanced non-small cell lung cancer.
Theranostics, 2020.
Before 2020
Wu J, et al. MR Imaging and Molecular Features Associated with Tumor-Infiltrating Lymphocytes in Breast Cancer. Breast Cancer Research, 2018.
Wu J, et al. Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast Cancer. Radiology 285(2):401-413, 11/2017. e-Pub 7/2017. PMCID: PMC5673053. Editorial Commentary by Robert J Gillies, Yoganand Balagurunathan, Perfusion MR Imaging of Breast Cancer: Insights Using “Habitat Imaging”
Wu J, et al. Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways. Clinical Cancer Research, 2017.
Wu J, et al. Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study. Int J Radiat Oncol Biol Phys, 2016.