A citation-based method for searching scientific literature

D Marr, E Hildreth. Proc R Soc Lond B Biol Sci 1980
Times Cited: 803







List of co-cited articles
230 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


A computational approach to edge detection.
J Canny. IEEE Trans Pattern Anal Mach Intell 1986
12


Fiji: an open-source platform for biological-image analysis.
Johannes Schindelin, Ignacio Arganda-Carreras, Erwin Frise, Verena Kaynig, Mark Longair, Tobias Pietzsch, Stephan Preibisch, Curtis Rueden, Stephan Saalfeld, Benjamin Schmid,[...]. Nat Methods 2012
9


Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
7

Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Daniel L K Yamins, Ha Hong, Charles F Cadieu, Ethan A Solomon, Darren Seibert, James J DiCarlo. Proc Natl Acad Sci U S A 2014
400
6


NIH Image to ImageJ: 25 years of image analysis.
Caroline A Schneider, Wayne S Rasband, Kevin W Eliceiri. Nat Methods 2012
6




Fast Edge Detection Using Structured Forests.
Piotr Dollár, C Lawrence Zitnick. IEEE Trans Pattern Anal Mach Intell 2015
33
12

Contour detection and hierarchical image segmentation.
Pablo Arbeláez, Michael Maire, Charless Fowlkes, Jitendra Malik. IEEE Trans Pattern Anal Mach Intell 2011
273
4

Chromatic mechanisms in lateral geniculate nucleus of macaque.
A M Derrington, J Krauskopf, P Lennie. J Physiol 1984
835
4


Predictive coding: a fresh view of inhibition in the retina.
M V Srinivasan, S B Laughlin, A Dubs. Proc R Soc Lond B Biol Sci 1982
451
4

Decorrelation and efficient coding by retinal ganglion cells.
Xaq Pitkow, Markus Meister. Nat Neurosci 2012
83
4

Learning to detect natural image boundaries using local brightness, color, and texture cues.
David R Martin, Charless C Fowlkes, Jitendra Malik. IEEE Trans Pattern Anal Mach Intell 2004
205
3

Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation.
Jordi Pont-Tuset, Pablo Arbelaez, Jonathan T Barron, Ferran Marques, Jitendra Malik. IEEE Trans Pattern Anal Mach Intell 2017
20
15

Analog computing by Brewster effect.
Amir Youssefi, Farzad Zangeneh-Nejad, Sajjad Abdollahramezani, Amin Khavasi. Opt Lett 2016
27
11

Performing mathematical operations with metamaterials.
Alexandre Silva, Francesco Monticone, Giuseppe Castaldi, Vincenzo Galdi, Andrea Alù, Nader Engheta. Science 2014
147
3

Analog computing using reflective plasmonic metasurfaces.
Anders Pors, Michael G Nielsen, Sergey I Bozhevolnyi. Nano Lett 2015
49
6

Analysis of response patterns of LGN cells.
R L De Valois, I Abramov, G H Jacobs. J Opt Soc Am 1966
268
3

Normalization as a canonical neural computation.
Matteo Carandini, David J Heeger. Nat Rev Neurosci 2011
703
3

Deep supervised, but not unsupervised, models may explain IT cortical representation.
Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte. PLoS Comput Biol 2014
296
3


Hierarchical models of object recognition in cortex.
M Riesenhuber, T Poggio. Nat Neurosci 1999
976
3

Spatiotemporal energy models for the perception of motion.
E H Adelson, J R Bergen. J Opt Soc Am A 1985
3




Color in the cortex: single- and double-opponent cells.
Robert Shapley, Michael J Hawken. Vision Res 2011
123
3

TrackMate: An open and extensible platform for single-particle tracking.
Jean-Yves Tinevez, Nick Perry, Johannes Schindelin, Genevieve M Hoopes, Gregory D Reynolds, Emmanuel Laplantine, Sebastian Y Bednarek, Spencer L Shorte, Kevin W Eliceiri. Methods 2017
645
3

The structure of images.
J J Koenderink. Biol Cybern 1984
257
3

Image quality assessment: from error visibility to structural similarity.
Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, Eero P Simoncelli. IEEE Trans Image Process 2004
3

Edge detection in images using Marr-Hildreth filtering techniques.
T G Smith, W B Marks, G D Lange, W H Sheriff, E A Neale. J Neurosci Methods 1988
21
14

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence.
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva. Sci Rep 2016
151
3


A benchmark for comparison of cell tracking algorithms.
Martin Maška, Vladimír Ulman, David Svoboda, Pavel Matula, Petr Matula, Cristina Ederra, Ainhoa Urbiola, Tomás España, Subramanian Venkatesan, Deepak M W Balak,[...]. Bioinformatics 2014
115
3

An objective comparison of cell-tracking algorithms.
Vladimír Ulman, Martin Maška, Klas E G Magnusson, Olaf Ronneberger, Carsten Haubold, Nathalie Harder, Pavel Matula, Petr Matula, David Svoboda, Miroslav Radojevic,[...]. Nat Methods 2017
76
3

Improved automatic detection and segmentation of cell nuclei in histopathology images.
Yousef Al-Kofahi, Wiem Lassoued, William Lee, Badrinath Roysam. IEEE Trans Biomed Eng 2010
234
3

Digital step edges from zero crossing of second directional derivatives.
R M Haralick. IEEE Trans Pattern Anal Mach Intell 1984
69
4



The unsteady eye: an information-processing stage, not a bug.
Michele Rucci, Jonathan D Victor. Trends Neurosci 2015
67
4

Using goal-driven deep learning models to understand sensory cortex.
Daniel L K Yamins, James J DiCarlo. Nat Neurosci 2016
280
3

Objective comparison of particle tracking methods.
Nicolas Chenouard, Ihor Smal, Fabrice de Chaumont, Martin Maška, Ivo F Sbalzarini, Yuanhao Gong, Janick Cardinale, Craig Carthel, Stefano Coraluppi, Mark Winter,[...]. Nat Methods 2014
313
3

Fast, accurate reconstruction of cell lineages from large-scale fluorescence microscopy data.
Fernando Amat, William Lemon, Daniel P Mossing, Katie McDole, Yinan Wan, Kristin Branson, Eugene W Myers, Philipp J Keller. Nat Methods 2014
132
3

ImageJ2: ImageJ for the next generation of scientific image data.
Curtis T Rueden, Johannes Schindelin, Mark C Hiner, Barry E DeZonia, Alison E Walter, Ellen T Arena, Kevin W Eliceiri. BMC Bioinformatics 2017
3

In Toto Imaging and Reconstruction of Post-Implantation Mouse Development at the Single-Cell Level.
Katie McDole, Léo Guignard, Fernando Amat, Andrew Berger, Grégoire Malandain, Loïc A Royer, Srinivas C Turaga, Kristin Branson, Philipp J Keller. Cell 2018
122
3


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.