• Brain Tumor Segmentation Based on Minimum Spanning Tree 

      Mayala, Simeon Sahani; Herdlevær, Ida Ajvazi; Haugsøen, Jonas Bull; Anandan, Shamundeeswari; Gavasso, Sonia; Brun, Morten (Journal article; Peer reviewed, 2022-03-11)
      In this paper, we propose a minimum spanning tree-based method for segmenting brain tumors. The proposed method performs interactive segmentation based on the minimum spanning tree without tuning parameters. The steps ...
    • EDAM: the bioscientific data analysis ontology (update 2021) [version 1; not peer reviewed] 

      Black, Melissa; Lamothe, Lucie; Eldakroury, Hager; Kierkegaard, Mads; Priya, Ankita; Machinda, Anne; Singh Khanduja, Uttam; Patoliya, Drashti; Rathi, Rashika; Che Nico, Tawah Peggy; Umutesi, Gloria; Blankenburg, Claudia; Op, Anita; Chieke, Precious; Babatunde, Omodolapo; Laurie, Steve; Neumann, Steffen; Schwämmle, Veit; Kuzmin, Ivan; Hunter, Chris; Karr, Jonathan; Ison, Jon; Gaignard, Alban; Brancotte, Bryan; Ménager, Hervé; Kalaš, Matúš (Others, 2021)
      EDAM [1] is a domain ontology of data analysis and data management in bio- and other sciences, and science-based applications. It comprises concepts related to analysis, modelling, optimisation, and data life-cycle. ...
    • EDAM: the ontology of bioinformatics operations, topics, data, and formats (update 2020) 

      Kalaš, Matúš; Ménager, Hervé; Gaignard, Alban; Schwämmle, Veit; Ison, Jon (Others, 2020)
      Project website: http://edamontology.org Source code: https://github.com/edamontology/edamontology License: CC BY-SA 4.0 EDAM is an ontology of well-established, familiar concepts that are prevalent within bioinformatics, ...