Muhammad Moazam Fraz

Radiology, Nuclear Medicine and Imaging · 2012

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Moazam Fraz trusts overall

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

  1. Elisa Ricci
  2. Gang Luo
  3. Carmen Alina Lupascu
  4. João V. B. Soares
  5. Joes Staal
  6. Bashir Al-Diri
  7. Leo Breiman
  8. Robert E. Schapire
  9. Jerome H. Friedman
  10. Ana Maria Mendonça

Who trusts Muhammad Moazam Fraz overall

  1. Shuangling Wang
  2. Qiaoliang Li
  3. Paweł Liskowski
  4. José Ignacio Orlando
  5. Sohini Roychowdhury
  6. Zengqiang Yan
  7. Md. Zahangir Alom
  8. Yilong Yin
  9. Kevis-Kokitsi Maninis
  10. Bowei Feng

Papers from Muhammad Moazam Fraz's perspective

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

  1. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (IEEE Transactions on Medical Imaging)
  2. Ridge-based vessel segmentation in color images of the retina (IEEE Transactions on Medical Imaging)
  3. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation (IEEE Transactions on Image Processing)
  4. Comparative study of retinal vessel segmentation methods on a new publicly available database (SPIE Medical Imaging)
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adaptive Local Thresholding by Verification-Based Multithreshold Probing with Application to Vessel Detection in Retinal Images (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  8. Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter (IEEE Transactions on Biomedical Engineering)
  9. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (IEEE Transactions on Medical Imaging)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers