Seed Point Placement
Seed Point Placement is a computational method in streamline visualization that determines the initial positions for integrating streamlines within a vector field, distinguished by its strategic selection of seed points to optimize coverage, accuracy, and perceptual clarity of the resulting flow representation.
111
Publications
4.5K
Citations
419
Authors
181
Institutions
Publications per year
2017–2026
22
111
Geodesic graph cut for interactive image segmentation
Brian Price, Bryan S. Morse, Scott Cohen · 2010 · 187 citations
Enhanced Region Growing for Brain Tumor MR Image Segmentation
Erena Siyoum Biratu, Friedhelm Schwenker, Taye Girma Debelee et al. · Journal of Imaging · 2021 · 144 citations · Full text
A flow-guided streamline seeding strategy
Vivek Verma, David Kao, Alex Pang · 2000 · 118 citations
Computing, Computer Science, Computational Fluid Dynamics +14
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181

Chinese Academy of Sciences
Beijing, China
5 h-index
11 publications
413 citations
Memorial Sloan Kettering Cancer Center
New York, United States
5 h-index
7 publications
262 citations

Beihang University
Beijing, China
3 h-index
6 publications
215 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
3 publications
127 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
5 publications
575 citations
Mayo Clinic
Rochester, United States
2 h-index
9 publications
390 citations
Columbia University
New York, United States
2 h-index
5 publications
220 citations
The Ohio State University
Columbus, United States
2 h-index
6 publications
140 citations
1–8 of 181
7 publications · 143 citations
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5 publications · 403 citations
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TVCG · 5 publications · 302 citations
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4 publications · 429 citations
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4 publications · 203 citations
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