K
Keith Murphy
Researcher at Carolinas Medical Center
Publications - 30
Citations - 394
Keith Murphy is an academic researcher from Carolinas Medical Center. The author has contributed to research in topics: Microwave ablation & Predictive analytics. The author has an hindex of 5, co-authored 30 publications receiving 290 citations. Previous affiliations of Keith Murphy include Carolinas Healthcare System & University of Liverpool.
Papers
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Journal ArticleDOI
Weyl-like points from band inversions of spin-polarised surface states in NbGeSb
Igor Marković,Igor Marković,Chris Hooley,O. J. Clark,Federico Mazzola,Matthew D. Watson,J. M. Riley,K Volckaert,Kaycee Underwood,Matthew S. Dyer,Philip A. E. Murgatroyd,Keith Murphy,P. Le Fèvre,François Bertran,Jun Fujii,Ivana Vobornik,Shilong Wu,Taichi Okuda,Jonathan Alaria,Philip D. C. King +19 more
TL;DR: In this paper, a band inversion between manifolds of surface states is proposed to stabilize topological and symmetry-protected states in solids, by aliovalent substitution of Nb for Zr and Sb for S in the ZrSiS family of nonsymmorphic semimetals.
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Robotic pancreaticoduodenectomy may offer improved oncologic outcomes over open surgery: a propensity-matched single-institution study.
Maria Baimas-George,Michael D Watson,Keith Murphy,David A. Iannitti,Erin H. Baker,Lee M. Ocuin,Dionisios Vrochides,John B. Martinie +7 more
TL;DR: It is demonstrated that RPD not only offers similar if not superior immediate post-operative benefit by decreasing DGE but more importantly may offer improved oncologic outcomes.
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Development and Validation of Image-Based Deep Learning Models to Predict Surgical Complexity and Complications in Abdominal Wall Reconstruction.
Sharbel A. Elhage,Eva B. Deerenberg,Sullivan A. Ayuso,Keith Murphy,Jenny Meng Shao,Kent W. Kercher,Neil J. Smart,John P. Fischer,Vedra A. Augenstein,Paul D. Colavita,B. Todd Heniford +10 more
TL;DR: In this paper, an 8-layer convolutional neural network (CNN) was used to predict the need for component separation and wound complications after abdominal wall reconstruction (AWR) in patients with ventral hernias.
Journal ArticleDOI
Use of Artificial Intelligence Deep Learning to Determine the Malignant Potential of Pancreatic Cystic Neoplasms With Preoperative Computed Tomography Imaging.
Michael D Watson,William B. Lyman,Michael Passeri,Keith Murphy,John P Sarantou,David A. Iannitti,John B. Martinie,Dionisios Vrochides,Erin H. Baker +8 more
TL;DR: Deep learning can be used to predict malignancy of PCNs; however, further model improvements are necessary before clinical use.
Journal ArticleDOI
Pure and Hybrid Deep Learning Models can Predict Pathologic Tumor Response to Neoadjuvant Therapy in Pancreatic Adenocarcinoma: A Pilot Study:
Michael D Watson,Maria Baimas-George,Keith Murphy,R.C. Pickens,David A. Iannitti,John B. Martinie,Erin H. Baker,Dionisios Vrochides,Lee M. Ocuin +8 more
TL;DR: In this paper, Artificial Intelligence allows for novel analysis of response to therapy in patients with pancreatic adenocarcinoma, but it is difficult to predict the response of patients to therapy.