Emanuele Trucco

Computer Vision and Pattern Recognition · 1995–2021

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 136 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it; #2,939 of 21,575 by trust here, #10,154 by citations
• Radiology, Nuclear Medicine and Imaging — 16 citations into it; #745 of 3,265 by trust here, #2,400 by citations
• Ophthalmology — 7 citations into it; #27 of 222 by trust here, #117 by citations

Whom Emanuele Trucco trusts overall

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

1. Joes Staal
2. M. Sofka
3. Ana Maria Mendonça
4. Meindert Niemeijer

Who trusts Emanuele Trucco overall

1. Philip H. S. Torr
2. Alper Yilmaz
3. Andrew Blake
4. Robert Osada
5. Mubarak Shah
6. Eren Erdal Aksoy
7. Thomas A. Funkhouser
8. Michael Isard
9. Andrew Zisserman
10. Muhammad Moazam Fraz

Papers from Emanuele Trucco's perspective

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

1. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation (IEEE Transactions on Image Processing)
2. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response (IEEE Transactions on Medical Imaging)
3. Comparative study of retinal vessel segmentation methods on a new publicly available database (SPIE Medical Imaging)
4. Ridge-based vessel segmentation in color images of the retina (IEEE Transactions on Medical Imaging)
5. A Computational Approach to Edge Detection
6. A Short Introduction to Boosting
7. Edge Detection
8. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction (IEEE Transactions on Medical Imaging)
9. Retinal Vessel Centerline Extraction Using Multiscale Matched Filters, Confidence and Edge Measures (IEEE Transactions on Medical Imaging)
10. Differential Geometry of Curves and Surfaces

Their papers

• Geometric Invariance in Computer Vision (1995)
• Using machine learning approaches for multi-omics data analysis: A review. (2021) — 714 citations
• FABC: Retinal Vessel Segmentation Using AdaBoost (2010) — 368 citations