Browsing Harvard Medical School by Keyword "Open science"

Now showing items 1-3 of 3

    • Brainhack: a collaborative workshop for the open neuroscience community 

      Cameron Craddock, R.; S. Margulies, Daniel; Bellec, Pierre; Nolan Nichols, B.; Alcauter, Sarael; A. Barrios, Fernando; Burnod, Yves; J. Cannistraci, Christopher; Cohen-Adad, Julien; De Leener, Benjamin; Dery, Sebastien; Downar, Jonathan; Dunlop, Katharine; R. Franco, Alexandre; Seligman Froehlich, Caroline; J. Gerber, Andrew; S. Ghosh, Satrajit; J. Grabowski, Thomas; Hill, Sean; Sólon Heinsfeld, Anibal; Matthew Hutchison, R.; Kundu, Prantik; R. Laird, Angela; Liew, Sook-Lei; J. Lurie, Daniel; G. McLaren, Donald; Meneguzzi, Felipe; Mennes, Maarten; Mesmoudi, Salma; O’Connor, David; H. Pasaye, Erick; Peltier, Scott; Poline, Jean-Baptiste; Prasad, Gautam; Fraga Pereira, Ramon; Quirion, Pierre-Olivier; Rokem, Ariel; S. Saad, Ziad; Shi, Yonggang; C. Strother, Stephen; Toro, Roberto; Q. Uddin, Lucina; D. Van Horn, John; W. Van Meter, John; C. Welsh, Robert; Xu, Ting (BioMed Central, 2016)
      Brainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel ...

    • DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research 

      Fedorov, Andriy; Clunie, David; Ulrich, Ethan; Bauer, Christian; Wahle, Andreas; Brown, Bartley; Onken, Michael; Riesmeier, Jörg; Pieper, Steve; Kikinis, Ron; Buatti, John; Beichel, Reinhard R. (PeerJ Inc., 2016)
      Background. Imaging biomarkers hold tremendous promise for precision medicine clinical applications. Development of such biomarkers relies heavily on image post-processing tools for automated image quantitation. Their ...

    • Recommendations for open data science 

      Gymrek, Melissa; Farjoun, Yossi (BioMed Central, 2016)
      Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and ...