Albert Cardona

Cellular and Molecular Neuroscience · 2008–2018

A researcher in the Science corpus: 11 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Cellular and Molecular Neuroscience — 78 citations into it; #2,341 of 2,998 by trust here, #1,121 by citations
• Neuroscience — 73 citations into it; #422 of 487 by trust here, #270 by citations
• Biophysics — 55 citations into it; #435 of 1,196 by trust here, #36 by citations
• Molecular Biology — 55 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it; #16,222 of 21,575 by trust here, #2,443 by citations
• Computational Biology & Bioinformatics — 26 citations into it; #524 of 660 by trust here, #495 by citations
• Structural Biology — 25 citations into it; #87 of 224 by trust here, #46 by citations
• Surfaces, Coatings and Films — 8 citations into it

Whom Albert Cardona trusts overall

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

1. David G. Lowe
2. John C. Fiala
3. uriy Mishchenko
4. Stephan Saalfeld
5. Kevin L. Briggman
6. Stephan Preibisch
7. Volker Hartenstein
8. David N. Mastronarde
9. Benjamin Schmid
10. A. Watson

Who trusts Albert Cardona overall

1. Mojtaba Seyedhosseini
2. Johannes E. Schindelin
3. Moritz Helmstaedter
4. Alessandro Giusti
5. Dan Claudiu Ciresan
6. Ignacio Arganda-Carreras
7. Tolga Tasdizen
8. Nabil Ibtehaz
9. Hasib Zunair
10. Phillip Odom

Papers from Albert Cardona's perspective

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

1. Reconstruct: a free editor for serial section microscopy
2. Snakes: Active contour models
3. Robust wide-baseline stereo from maximally stable extremal regions
4. A Computational Framework for Ultrastructural Mapping of Neural Circuitry
5. TrakEM2 Software for Neural Circuit Reconstruction (PLoS ONE)
6. Network anatomy and in vivo physiology of visual cortical neurons (Nature)
7. Serial Section Scanning Electron Microscopy of Adult Brain Tissue Using Focused Ion Beam Milling
8. Machines that learn to segment images: a crucial technology for connectomics.
9. Volume electron microscopy for neuronal circuit reconstruction. (Current Opinion in Neurobiology)
10. Automated electron microscope tomography using robust prediction of specimen movements.

Their papers

• Fiji - an Open Source platform for biological image analysis (2012) — 60,675 citations
• CATMAID: collaborative annotation toolkit for massive amounts of image data (2009) — 354 citations
• Crowdsourcing the creation of image segmentation algorithms for connectomics (2015) — 371 citations
• Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification (2017) — 2,090 citations
• BigStitcher: reconstructing high-resolution image datasets of cleared and expanded samples (2018) — 305 citations
• A multilevel multimodal circuit enhances action selection in Drosophila (2015) — 426 citations
• Quantitative neuroanatomy for connectomics in Drosophila (2015) — 304 citations
• TrakEM2 Software for Neural Circuit Reconstruction (2012) — 969 citations
• A high-level 3D visualization API for Java and ImageJ (2010) — 546 citations
• An Integrated Micro- and Macroarchitectural Analysis of the Drosophila Brain by Computer-Assisted Serial Section Electron Microscopy (2010) — 417 citations
• Modeling the Developing Drosophila Brain: Rationale, Technique, and Application (2008) — 13 citations