Sanjay Agrawal

Computer Vision and Pattern Recognition · with Abraham · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sanjay Agrawal trusts overall

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

  1. Tony F. Chan
  2. Luminita A. Vese
  3. Konstantinos Blekas

Papers from Sanjay Agrawal's perspective

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

  1. Snakes: Active contour models
  2. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification (IEEE Transactions on Image Processing)
  3. A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model (International Journal of Computer Vision)
  4. Active contours without edges
  5. Statistical shape influence in geodesic active contours (Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662))
  6. Automatic Segmentation of MR Brain Images With a Convolutional Neural Network (IEEE Transactions on Medical Imaging)
  7. Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation (NeuroImage)
  8. A spatially constrained mixture model for image segmentation
  9. A Level Set Method for Image Segmentation in the Presence of Intensity Inhomogeneities With Application to MRI (IEEE Transactions on Image Processing)
  10. Fuzzy c-means clustering with spatial information for image segmentation (Comput. Medical Imaging Graph.)

Their papers