M
Matthew B. Schabath
Researcher at University of South Florida
Publications - 256
Citations - 12963
Matthew B. Schabath is an academic researcher from University of South Florida. The author has contributed to research in topics: Lung cancer & Cancer. The author has an hindex of 46, co-authored 207 publications receiving 9281 citations. Previous affiliations of Matthew B. Schabath include Northwestern University & University of Texas Health Science Center at Houston.
Papers
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Journal ArticleDOI
Radiomics: the process and the challenges
Virendra Kumar,Yuhua Gu,Satrajit Basu,Anders Berglund,Steven A. Eschrich,Matthew B. Schabath,Kenneth M. Forster,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts,Andre Dekker,David Fenstermacher,Dmitry B. Goldgof,Lawrence O. Hall,Philippe Lambin,Yoganand Balagurunathan,Robert A. Gatenby,Robert J. Gillies +16 more
TL;DR: "Radiomics" refers to the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images obtained with computed tomography, positron emission tomography or magnetic resonance imaging, leading to a very large potential subject pool.
Journal ArticleDOI
Artificial intelligence in cancer imaging: Clinical challenges and applications.
Wenya Linda Bi,Ahmed Hosny,Matthew B. Schabath,Maryellen L. Giger,Nicolai Juul Birkbak,Nicolai Juul Birkbak,Alireza Mehrtash,Alireza Mehrtash,Tavis Allison,Tavis Allison,Omar Arnaout,Christopher Abbosh,Christopher Abbosh,Ian F. Dunn,Raymond H. Mak,Rulla M. Tamimi,Clare M. Tempany,Charles Swanton,Charles Swanton,Udo Hoffmann,Lawrence H. Schwartz,Lawrence H. Schwartz,Robert J. Gillies,Raymond Y. Huang,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts +25 more
TL;DR: The authors review the current state of AI as applied to medical imaging of cancer and describe advances in 4 tumor types to illustrate how common clinical problems are being addressed.
Journal ArticleDOI
Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study
Robert Carreras-Torres,Mattias Johansson,Philip C Haycock,Kaitlin H Wade,Caroline L Relton,Richard M. Martin,Richard M. Martin,George Davey Smith,Demetrius Albanes,Melinda C. Aldrich,Angeline S. Andrew,Susanne M. Arnold,Heike Bickeböller,Stig E. Bojesen,Hans Brunnström,Jonas Manjer,Irene Brüske,Neil E. Caporaso,Chu Chen,David C. Christiani,W. Jay Christian,Jennifer A. Doherty,Eric J. Duell,John K. Field,Michael P.A. Davies,Michael W. Marcus,Gary E. Goodman,Kjell Grankvist,Aage Haugen,Yun-Chul Hong,Lambertus A. Kiemeney,Erik H.F.M. van der Heijden,Peter Kraft,Mikael Johansson,Stephen Lam,Maria Teresa Landi,Philip Lazarus,Loic Le Marchand,Geoffrey Liu,Olle Melander,Sungshim L. Park,Gad Rennert,Angela Risch,Eric B. Haura,Ghislaine Scelo,David Zaridze,Anush Mukeriya,Milan Savic,Jolanta Lissowska,Beata Swiatkowska,Vladimir Janout,Ivana Holcatova,Dana Mates,Matthew B. Schabath,Hongbing Shen,Adonina Tardón,M. Dawn Teare,Penella J. Woll,Ming-Sound Tsao,Xifeng Wu,Jian-Min Yuan,Rayjean J. Hung,Christopher I. Amos,James D. McKay,Paul Brennan +64 more
TL;DR: The results are consistent with a causal role of fasting insulin and low-density lipoprotein cholesterol in lung cancer etiology, as well as for BMI in squamous cell and small cell carcinoma, and the latter relation may be mediated by a previously unrecognized effect of obesity on smoking behavior.
Journal ArticleDOI
Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function
Dana B. Hancock,Mark Eijgelsheim,Jemma B. Wilk,Sina A. Gharib,Laura R. Loehr,Laura R. Loehr,Kristin D. Marciante,Nora Franceschini,Yannick M.T.A. van Durme,Yannick M.T.A. van Durme,Ting Hsu Chen,Ting Hsu Chen,R. Graham Barr,Matthew B. Schabath,David Couper,Guy Brusselle,Guy Brusselle,Bruce M. Psaty,Bruce M. Psaty,Cornelia M. van Duijn,Jerome I. Rotter,André G. Uitterlinden,Albert Hofman,Naresh M. Punjabi,Fernando Rivadeneira,Alanna C. Morrison,Paul L. Enright,Kari E. North,Susan R. Heckbert,Susan R. Heckbert,Thomas Lumley,Bruno H. Stricker,George T. O'Connor,George T. O'Connor,Stephanie J. London +34 more
TL;DR: This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study, and identified eight loci associated with FEV1/FVC and one locus at or near genome-wide significance in theCHARGE Consortium dataset.
Journal ArticleDOI
Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.
Muhammad Shafiq-ul-Hassan,Geoffrey Zhang,Kujtim Latifi,Ghanim Ullah,Dylan C. Hunt,Yoganand Balagurunathan,Mahmoud A. Abdalah,Matthew B. Schabath,Dmitry G. Goldgof,Dennis Stephen Mackin,Laurence E. Court,Robert J. Gillies,Eduardo G. Moros +12 more
TL;DR: The impact of slice thickness and pixel spacing on radiomics features extracted from Computed Tomography (CT) phantom images acquired with different scanners as well as different acquisition and reconstruction parameters was investigated.