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Chintan Parmar

Showing results (1-10 of 32) with videos related to

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Journal of Fluorescence|June 16, 2025
Fluorescent Metal-Organic Frameworks for the Detection of Explosive Materials: Current Trends and Future ProspectsChintan Parmar, Riya Khandelwal, Mahesh Vasava
Scientific Reports|August 18, 2015
Machine Learning methods for Quantitative Radiomic BiomarkersChintan Parmar, Patrick Grossmann, Johan Bussink, et al.
Journal of Fluorescence|March 10, 2026
Fluorescent Phenanthro-Imidazole-Based Chemosensors for the Detection of Primary and Nitro-aromatic ExplosivesRiya Khandelwal, Mahesh Vasava, Prasenjit Maity, et al.
Nature Reviews. Cancer|May 20, 2018
Artificial intelligence in radiologyAhmed Hosny, Chintan Parmar, John Quackenbush, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 28, 2018
Data Analysis Strategies in Medical ImagingChintan Parmar, Joseph D Barry, Ahmed Hosny, et al.
Molecular Diversity|July 1, 2025
Synthesis, molecular docking, molecular dynamic simulation and biological evaluation of novel 3,4-dihydropyridine derivatives as potent antituberculosis agentsRiya Khandelwal, Mahesh Vasava, Vijay Kevlani, et al.
Frontiers in Oncology|December 24, 2015
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck CancerChintan Parmar, Patrick Grossmann, Derek Rietveld, et al.
Science Advances|January 17, 2025
Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts, and clinical tumors using deep learningSlavica Dimitrieva, Rens Janssens, Gang Li, et al.
European Journal of Radiology|November 21, 2017
Impact of experimental design on PET radiomics in predicting somatic mutation statusStephen S F Yip, Chintan Parmar, John Kim, et al.
Frontiers in Oncology|April 12, 2016
Exploratory Study to Identify Radiomics Classifiers for Lung Cancer HistologyWeimiao Wu, Chintan Parmar, Patrick Grossmann, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Journal of Fluorescence|June 16, 2025
Fluorescent Metal-Organic Frameworks for the Detection of Explosive Materials: Current Trends and Future ProspectsChintan Parmar, Riya Khandelwal, Mahesh Vasava
Scientific Reports|August 18, 2015
Machine Learning methods for Quantitative Radiomic BiomarkersChintan Parmar, Patrick Grossmann, Johan Bussink, et al.
Journal of Fluorescence|March 10, 2026
Fluorescent Phenanthro-Imidazole-Based Chemosensors for the Detection of Primary and Nitro-aromatic ExplosivesRiya Khandelwal, Mahesh Vasava, Prasenjit Maity, et al.
Nature Reviews. Cancer|May 20, 2018
Artificial intelligence in radiologyAhmed Hosny, Chintan Parmar, John Quackenbush, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 28, 2018
Data Analysis Strategies in Medical ImagingChintan Parmar, Joseph D Barry, Ahmed Hosny, et al.
Molecular Diversity|July 1, 2025
Synthesis, molecular docking, molecular dynamic simulation and biological evaluation of novel 3,4-dihydropyridine derivatives as potent antituberculosis agentsRiya Khandelwal, Mahesh Vasava, Vijay Kevlani, et al.
Frontiers in Oncology|December 24, 2015
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck CancerChintan Parmar, Patrick Grossmann, Derek Rietveld, et al.
Science Advances|January 17, 2025
Biologically relevant integration of transcriptomics profiles from cancer cell lines, patient-derived xenografts, and clinical tumors using deep learningSlavica Dimitrieva, Rens Janssens, Gang Li, et al.
European Journal of Radiology|November 21, 2017
Impact of experimental design on PET radiomics in predicting somatic mutation statusStephen S F Yip, Chintan Parmar, John Kim, et al.
Frontiers in Oncology|April 12, 2016
Exploratory Study to Identify Radiomics Classifiers for Lung Cancer HistologyWeimiao Wu, Chintan Parmar, Patrick Grossmann, et al.
Pageof 4