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Matthew B. Schabath, Ph.D.
Matthew B. Schabath, Ph.D.
H. Lee Moffitt Cancer Center & Research Institute
Bestätigte E-Mail-Adresse bei moffitt.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Radiomics: the process and the challenges
V Kumar, Y Gu, S Basu, A Berglund, SA Eschrich, MB Schabath, K Forster, ...
Magnetic resonance imaging 30 (9), 1234-1248, 2012
16592012
Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function
DB Hancock, M Eijgelsheim, JB Wilk, SA Gharib, LR Loehr, KD Marciante, ...
Nature genetics 42 (1), 45-52, 2010
6542010
Artificial intelligence in cancer imaging: clinical challenges and applications
WL Bi, A Hosny, MB Schabath, ML Giger, NJ Birkbak, A Mehrtash, ...
CA: a cancer journal for clinicians 69 (2), 127-157, 2019
6422019
A risk model for prediction of lung cancer
MR Spitz, WK Hong, CI Amos, X Wu, MB Schabath, Q Dong, S Shete, ...
Journal of the National Cancer Institute 99 (9), 715-726, 2007
4372007
Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
M Shafiq‐ul‐Hassan, GG Zhang, K Latifi, G Ullah, DC Hunt, ...
Medical physics 44 (3), 1050-1062, 2017
4032017
Lung cancer screening, version 3.2018, NCCN clinical practice guidelines in oncology
DE Wood, EA Kazerooni, SL Baum, GA Eapen, DS Ettinger, L Hou, ...
Journal of the National Comprehensive Cancer Network 16 (4), 412-441, 2018
3712018
Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes
JD McKay, RJ Hung, Y Han, X Zong, R Carreras-Torres, DC Christiani, ...
Nature genetics 49 (7), 1126-1132, 2017
3452017
Cancer and lesbian, gay, bisexual, transgender/transsexual, and queer/questioning (LGBTQ) populations
GP Quinn, JA Sanchez, SK Sutton, ST Vadaparampil, GT Nguyen, ...
CA: a cancer journal for clinicians 65 (5), 384-400, 2015
3052015
Lung cancer screening
DE Wood, GA Eapen, DS Ettinger, L Hou, D Jackman, E Kazerooni, ...
Journal of the National Comprehensive Cancer Network 10 (2), 240-265, 2012
2892012
Cytokinesis-blocked micronucleus assay as a novel biomarker for lung cancer risk
RA El-Zein, MB Schabath, CJ Etzel, MS Lopez, JD Franklin, MR Spitz
Cancer research 66 (12), 6449-6456, 2006
2502006
Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma
O Grove, AE Berglund, MB Schabath, HJWL Aerts, A Dekker, H Wang, ...
PloS one 10 (3), e0118261, 2015
2352015
Predicting malignant nodules from screening CT scans
S Hawkins, H Wang, Y Liu, A Garcia, O Stringfield, H Krewer, Q Li, ...
Journal of Thoracic Oncology 11 (12), 2120-2128, 2016
2332016
History of atopy or autoimmunity increases risk of alopecia areata
N Barahmani, MB Schabath, M Duvic, NAA Registry
Journal of the American Academy of Dermatology 61 (4), 581-591, 2009
2122009
Hormone replacement therapy and lung cancer risk: a case-control analysis
MB Schabath, X Wu, R Vassilopoulou-Sellin, AA Vaporciyan, MR Spitz
Clinical cancer research 10 (1), 113-123, 2004
2062004
Differential association of STK11 and TP53 with KRAS mutation-associated gene expression, proliferation and immune surveillance in lung adenocarcinoma
MB Schabath, EA Welsh, WJ Fulp, L Chen, JK Teer, ZJ Thompson, ...
Oncogene 35 (24), 3209-3216, 2016
1982016
cAMP/CREB-regulated LINC00473 marks LKB1-inactivated lung cancer and mediates tumor growth
Z Chen, JL Li, S Lin, C Cao, NT Gimbrone, R Yang, DA Fu, MB Carper, ...
The Journal of clinical investigation 126 (6), 2267-2279, 2016
1732016
Cancer progress and priorities: lung cancer
MB Schabath, ML Cote
Cancer epidemiology, biomarkers & prevention 28 (10), 1563-1579, 2019
1722019
TGF-β–inducible microRNA-183 silences tumor-associated natural killer cells
SS Donatelli, JM Zhou, DL Gilvary, EA Eksioglu, X Chen, WD Cress, ...
Proceedings of the National Academy of Sciences 111 (11), 4203-4208, 2014
1722014
Dietary phytoestrogens and lung cancer risk
MB Schabath, LM Hernandez, X Wu, PC Pillow, MR Spitz
Jama 294 (12), 1493-1504, 2005
1482005
Deep feature transfer learning in combination with traditional features predicts survival among patients with lung adenocarcinoma
R Paul, SH Hawkins, Y Balagurunathan, M Schabath, RJ Gillies, LO Hall, ...
Tomography 2 (4), 388-395, 2016
1462016
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