Darshan Kumar

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Darshan Kumar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Christoph Sommer
  2. Yuri Boykov

Papers from Darshan Kumar's perspective

Ordered by how strongly the researchers Darshan Kumar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features (IEEE Transactions on Medical Imaging)
  2. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
  3. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision
  4. Metadata matters: access to image data in the real world (Journal of Cell Biology)
  5. Ilastik: Interactive learning and segmentation toolkit
  6. NIH Image to ImageJ: 25 years of Image Analysis (Nature Methods)
  7. A high-level 3D visualization API for Java and ImageJ
  8. V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets (Nature Biotechnology)
  9. Fiji - an Open Source platform for biological image analysis
  10. Computer visualization of three-dimensional image data using IMOD.

Their papers