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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1975 2
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1982 2
1983 2
1984 1
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1989 1
1990 3
1991 1
1993 1
1995 2
1997 3
1998 1
1999 2
2000 5
2001 1
2002 3
2003 7
2004 7
2005 3
2006 5
2007 5
2008 7
2009 5
2010 15
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2012 39
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2020 51
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2024 24

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449 results

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Showing results for varian machines
Your search for Marian Machinek retrieved no results
Structural and functional radiomics for lung cancer.
Wu G, Jochems A, Refaee T, Ibrahim A, Yan C, Sanduleanu S, Woodruff HC, Lambin P. Wu G, et al. Eur J Nucl Med Mol Imaging. 2021 Nov;48(12):3961-3974. doi: 10.1007/s00259-021-05242-1. Epub 2021 Mar 11. Eur J Nucl Med Mol Imaging. 2021. PMID: 33693966 Free PMC article. Review.
Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning methods to explore possible ties with biology and clinical outcomes. ...
Radiomics entails the extraction and analysis of quantitative features from medical images using mathematical and machine learning me …
The landscape of tumor cell states and ecosystems in diffuse large B cell lymphoma.
Steen CB, Luca BA, Esfahani MS, Azizi A, Sworder BJ, Nabet BY, Kurtz DM, Liu CL, Khameneh F, Advani RH, Natkunam Y, Myklebust JH, Diehn M, Gentles AJ, Newman AM, Alizadeh AA. Steen CB, et al. Cancer Cell. 2021 Oct 11;39(10):1422-1437.e10. doi: 10.1016/j.ccell.2021.08.011. Epub 2021 Sep 30. Cancer Cell. 2021. PMID: 34597589 Free PMC article.
However, dissecting these cell states and their clinical relevance at scale remains challenging. Here, we implemented EcoTyper, a machine-learning framework integrating transcriptome deconvolution and single-cell RNA sequencing, to characterize clinically relevant DLBCL ce …
However, dissecting these cell states and their clinical relevance at scale remains challenging. Here, we implemented EcoTyper, a machine …
Atlas of clinically distinct cell states and ecosystems across human solid tumors.
Luca BA, Steen CB, Matusiak M, Azizi A, Varma S, Zhu C, Przybyl J, Espín-Pérez A, Diehn M, Alizadeh AA, van de Rijn M, Gentles AJ, Newman AM. Luca BA, et al. Cell. 2021 Oct 14;184(21):5482-5496.e28. doi: 10.1016/j.cell.2021.09.014. Epub 2021 Sep 30. Cell. 2021. PMID: 34597583 Free PMC article.
Determining how cells vary with their local signaling environment and organize into distinct cellular communities is critical for understanding processes as diverse as development, aging, and cancer. Here we introduce EcoTyper, a machine learning framework for large-scale …
Determining how cells vary with their local signaling environment and organize into distinct cellular communities is critical for understand …
Fragmentomic analysis of circulating tumor DNA-targeted cancer panels.
Helzer KT, Sharifi MN, Sperger JM, Shi Y, Annala M, Bootsma ML, Reese SR, Taylor A, Kaufmann KR, Krause HK, Schehr JL, Sethakorn N, Kosoff D, Kyriakopoulos C, Burkard ME, Rydzewski NR, Yu M, Harari PM, Bassetti M, Blitzer G, Floberg J, Sjöström M, Quigley DA, Dehm SM, Armstrong AJ, Beltran H, McKay RR, Feng FY, O'Regan R, Wisinski KB, Emamekhoo H, Wyatt AW, Lang JM, Zhao SG. Helzer KT, et al. Ann Oncol. 2023 Sep;34(9):813-825. doi: 10.1016/j.annonc.2023.06.001. Epub 2023 Jun 16. Ann Oncol. 2023. PMID: 37330052
However, most of these analyses used whole-genome sequencing, which is insufficient to identify FDA-approved biomarker indications in a cost-effective manner. PATIENTS AND METHODS: We used machine learning models of fragmentation patterns at the first coding exon in standa …
However, most of these analyses used whole-genome sequencing, which is insufficient to identify FDA-approved biomarker indications in a cost …
Early Readout on Overall Survival of Patients With Melanoma Treated With Immunotherapy Using a Novel Imaging Analysis.
Dercle L, Zhao B, Gönen M, Moskowitz CS, Firas A, Beylergil V, Connors DE, Yang H, Lu L, Fojo T, Carvajal R, Karovic S, Maitland ML, Goldmacher GV, Oxnard GR, Postow MA, Schwartz LH. Dercle L, et al. JAMA Oncol. 2022 Mar 1;8(3):385-392. doi: 10.1001/jamaoncol.2021.6818. JAMA Oncol. 2022. PMID: 35050320 Free PMC article. Clinical Trial.
More accurate prediction of survival by treatment could enhance treatment decisions. OBJECTIVE: To validate, using radiomics and machine learning, the performance of a signature of quantitative computed tomography (CT) imaging features for estimating overall survival (OS) …
More accurate prediction of survival by treatment could enhance treatment decisions. OBJECTIVE: To validate, using radiomics and machine …
Repeated blood-brain barrier opening with an implantable ultrasound device for delivery of albumin-bound paclitaxel in patients with recurrent glioblastoma: a phase 1 trial.
Sonabend AM, Gould A, Amidei C, Ward R, Schmidt KA, Zhang DY, Gomez C, Bebawy JF, Liu BP, Bouchoux G, Desseaux C, Helenowski IB, Lukas RV, Dixit K, Kumthekar P, Arrieta VA, Lesniak MS, Carpentier A, Zhang H, Muzzio M, Canney M, Stupp R. Sonabend AM, et al. Lancet Oncol. 2023 May;24(5):509-522. doi: 10.1016/S1470-2045(23)00112-2. Lancet Oncol. 2023. PMID: 37142373 Clinical Trial.
Determination of commissioning criteria for multileaf-collimator, stereotactic radiosurgery treatments on Varian TrueBeam and Edge machines using a novel anthropomorphic phantom.
Brown TAD, Fagerstrom JM, Beck C, Holloway C, Burton K, Kaurin DGL, Mahendra S, Luckstead M, Kielar K, Kerns J. Brown TAD, et al. J Appl Clin Med Phys. 2022 Jun;23(6):e13581. doi: 10.1002/acm2.13581. Epub 2022 Mar 15. J Appl Clin Med Phys. 2022. PMID: 35290710 Free PMC article.
An anthropomorphic phantom has been developed by Varian Medical Systems for commissioning multileaf-collimator (MLC), stereotactic radiosurgery (SRS) treatments on Varian TrueBeam and Edge linear accelerators. ...The Varian phantom is designed to accommodate …
An anthropomorphic phantom has been developed by Varian Medical Systems for commissioning multileaf-collimator (MLC), stereotactic ra …
Application of Machine Learning for Cytometry Data.
Hu Z, Bhattacharya S, Butte AJ. Hu Z, et al. Front Immunol. 2022 Jan 3;12:787574. doi: 10.3389/fimmu.2021.787574. eCollection 2021. Front Immunol. 2022. PMID: 35046945 Free PMC article. Review.
However, the analysis of cytometry data remains a bottleneck due to its high dimensionality, large cell numbers, and heterogeneity between datasets. Machine learning techniques are well suited to analyze complex cytometry data and have been used in multiple facets of cytom …
However, the analysis of cytometry data remains a bottleneck due to its high dimensionality, large cell numbers, and heterogeneity between d …
Opportunities and Challenges in Democratizing Immunology Datasets.
Bhattacharya S, Hu Z, Butte AJ. Bhattacharya S, et al. Front Immunol. 2021 Apr 16;12:647536. doi: 10.3389/fimmu.2021.647536. eCollection 2021. Front Immunol. 2021. PMID: 33936065 Free PMC article. Review.
Concurrently, the application of computational methods, such as network analysis, meta-analysis, and machine learning have propelled the field forward by providing insight into salient features that influence the immunological response, which was otherwise left unexplored. …
Concurrently, the application of computational methods, such as network analysis, meta-analysis, and machine learning have propelled …
449 results