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Matthew B. Schabath

H. Lee Moffitt Cancer Center and Research Institute

12902 USF Magnolia Drive

Tampa, FL 33612

United States

SCHOLARLY PAPERS

5

DOWNLOADS

215

TOTAL CITATIONS

6

Scholarly Papers (5)

1.

On the Non-Linearity of Radon-Induced Lung Cancer

Number of pages: 21 Posted: 21 Feb 2023
Georg-August University Göttingen - University Medical Center Göttingen (UMG), Georg-August University Göttingen - University Medical Center Göttingen (UMG), Harvard University - Department of Environmental Health, University of Toronto - Princess Margaret Cancer Centre, H. Lee Moffitt Cancer Center and Research Institute, H. Lee Moffitt Cancer Center and Research Institute, University of Hawaii - Department of Epidemiology, University of Southern California - Department of Preventive Medicine, Government of the United States of America - National Cancer Institute, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Liverpool, University of Liverpool, Government of the United States of America - National Cancer Institute, University of Oviedo, University of Oviedo, Carmel Medical Center, Carmel Medical Center, Baylor College of Medicine and University of Toronto
Downloads 89 (747,755)

Abstract:

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Radiation, lung cancer, histological subtypes, Smoking, spatial exposure, spline function

2.

Real-World Comparative Outcomes of Egfr-Tkis for First-Line Treatment of Metastatic Non–Small-Cell Lung Cancer

Number of pages: 21 Posted: 14 May 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, H. Lee Moffitt Cancer Center and Research Institute, affiliation not provided to SSRN, University of Virginia - University of Virginia Health System, Tufts University - Tufts Medical Center, University of Arkansas for Medical Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Tufts University - Tufts Medical Center, University of Arkansas for Medical Sciences, affiliation not provided to SSRN and University of Minnesota - Minneapolis
Downloads 43 (1,157,785)

Abstract:

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metastatic non-small cell lung cancer, EGFR-TKI, multi-site research, clinical outcomes, healthcare resource utilization

3.

Self-Normalizing Foundation Model for Enhanced Multi-Omics Data Analysis in Oncology

Number of pages: 40 Posted: 17 Dec 2024
H. Lee Moffitt Cancer Center and Research Institute, H. Lee Moffitt Cancer Center and Research Institute, H. Lee Moffitt Cancer Center and Research Institute, H. Lee Moffitt Cancer Center and Research Institute, University of Minnesota - Minneapolis, H. Lee Moffitt Cancer Center and Research Institute - Department of Analytic Microscopy, H. Lee Moffitt Cancer Center and Research Institute, University of South Florida, H. Lee Moffitt Cancer Center and Research Institute, H. Lee Moffitt Cancer Center and Research Institute and Independent
Downloads 32 (1,290,922)
Citation 6

Abstract:

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Cancer, Oncology, Multi-omics, Multimodal, Pan-cancer, Deep learning, Foundation model, Survival, Classification.

4.

Computed tomography-based radiomics features characterize low and high-risk lung cancer among people living with HIV: An early report

Number of pages: 14 Posted: 19 Nov 2025
Moffitt Cancer Center, Moffitt Cancer Center, Moffitt Cancer Center, Moffitt Cancer Center, Moffitt Cancer Center, Moffitt Cancer Center, Moffitt Cancer Center and H. Lee Moffitt Cancer Center and Research Institute
Downloads 27 (1,359,097)

Abstract:

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Human immunodeficiency virus (HIV), Computed tomography, lung cancer, Radiomics, Cancer disparities, people living with HIV

5.

Preoperative CT-Based Habitat Radiomics Classifiers Predict Recurrence in Non-Small Cell Lung Cancer

Number of pages: 30 Posted: 03 May 2026
Moffitt Cancer Center, University of South Florida, Moffitt Cancer Center, University of South Florida, University of South Florida, Boğaziçi University and H. Lee Moffitt Cancer Center and Research Institute
Downloads 24 (1,399,036)

Abstract:

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image biomarkers, habitat imaging, Radiomics, tumor heterogeneity