EDBT 2026 Demo / reviewers in the wild / expert
Lee Kamentsky
dblp:97/9445
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-8161-3604ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Segmentation and scene understanding · 77% Efficient and distributed learning · 23% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Segmentation and scene understanding › biomedical image segmentation
connectomics segmentation |
0.4 | 1 | 2020 | Two Stream Active Query Suggestion for Active Learning in Connectomics · ECCV (18) 2020 |
Machine learning › Efficient and distributed learning
active learning |
0.1 | 1 | 2020 | Two Stream Active Query Suggestion for Active Learning in Connectomics · ECCV (18) 2020 |
Bioinformatics and computational biology › bioimage informatics
bioimage analysis |
0.1 | 1 | 2011 | Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software · Bioinform. 2011 |
Bioinformatics and computational biology › bioimage informatics
high-throughput image analysis |
0.1 | 1 | 2011 | Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software · Bioinform. 2011 |
Bioinformatics and computational biology › bioimage informatics
cellular image analysis |
0.0 | 1 | 2011 | Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
two-stream network · 0.4active learning · 0.4modular pipeline · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Two Stream Active Query Suggestion for Active Learning in Connectomics
Zudi Lin, Donglai Wei 0001, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang 0002, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister |
ECCV (18) | 10 |
| 2011 | Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis softwareabstractUNLABELLED: There is a strong and growing need in the biology research community for accurate, automated image analysis. Here, we describe CellProfiler 2.0, which has been engineered to meet the needs of its growing user base. It is more robust and user friendly, with new algorithms and features to facilitate high-throughput work. ImageJ plugins can now be run within a CellProfiler pipeline. AVAILABILITY AND IMPLEMENTATION: CellProfiler 2.0 is free and open source, available at http://www.cellprofiler.org under the GPL v. 2 license. It is available as a packaged application for Macintosh OS X and Microsoft Windows and can be compiled for Linux. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Lee Kamentsky, Thouis R. Jones, Adam Fraser, Mark-Anthony Bray, David J. Logan, Katherine L. Madden, Vebjorn Ljosa, Curtis Rueden, Kevin W. Eliceiri, Anne E. Carpenter |
Bioinform. | 1 |