Matthew B. Schabath
Moffitt Cancer Center(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Lung Cancer Treatments and Mutations, LGBTQ Health, Identity, and Policy, RNA modifications and cancer
Most-Cited Works
- → Radiomics: the process and the challenges(2012)2,228 cited
- → Artificial intelligence in cancer imaging: Clinical challenges and applications(2019)1,785 cited
- → Cancer Progress and Priorities: Lung Cancer(2019)1,111 cited
- → Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes(2017)774 cited
- → Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study(2017)660 cited
- → Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function(2009)635 cited
- → Lung Cancer Screening, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology(2018)620 cited
- → Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels(2017)570 cited
- → Cancer and lesbian, gay, bisexual, transgender/transsexual, and queer/questioning (LGBTQ) populations(2015)482 cited
- → Differential association of STK11 and TP53 with KRAS mutation-associated gene expression, proliferation and immune surveillance in lung adenocarcinoma(2015)439 cited