What is DASH?

A central, open-access repository of research by members of the Harvard community.

Deposit Your Work

DASH enlarges the audience and impact of your work. Authors who deposit in DASH have access to on-demand metrics and receive monthly reports about their readership. Deposited works receive persistent URLs, are comprehensively indexed by search engines, including Google and Google Scholar, reach academic and non-academic readers who may not have access to the original publications, and are preserved by the Harvard Library.

Making your work open access in DASH is as simple as completing our quick submit form. We also welcome bulk deposits and offer CV scraping services. Simply contact OSC if you are interested. OSC will do the legal legwork for all submissions.

The OSC is pleased to offer a robust suite of services to support you and your scholarship. Visit our For Authors page to learn more.


  • Unsupervised Medical Image Segmentation Based on the Local Center of Mass 

    Aganj, Iman; Harisinghani, Mukesh; Weissleder, Ralph; Fischl, Bruce (Springer Science and Business Media LLC, 2018-08-29)
    Image segmentation is a critical step in numerous medical imaging studies, which can be facilitated by automatic computational techniques. Supervised methods, although highly effective, require large training datasets of ...
  • Multimodal Image Registration Through Simultaneous Segmentation 

    Aganj, Iman; Fischl, Bruce (IEEE, 2017-11)
    Multimodal image registration facilitates the combination of complementary information from images acquired with different modalities. Most existing methods require computation of the joint histogram of the images, while ...
  • as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity 

    Wang, Hui; Magnain, Caroline; Wang, Ruopeng; Dubb, Jay; Varjabedian, Ani; Tirrell, Lee; Stevens, Allison; Augustinack, Jean; Konukoglu, Ender; Aganj, Iman; Frosch, Matthew; Schmahmann, Jeremy; Fischl, Bruce; Boas, David (Elsevier BV, 2018-01)
    Polarization sensitive optical coherence tomography (PSOCT) with serial sectioning has enabled the investigation of 3D structures in mouse and human brain tissue samples. By using intrinsic optical properties of back-scattering ...

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