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| 1 | Multidimensional Projections for Visual Analysis of Social Networks显示文摘Visual analysis of social networks is usually based on graph drawing algorithms and tools.However,social networks are a special kind of graph in the sense that interpretation of displayed relationships is heavily dependent on context.Context,in its turn,is given by attributes associated with graph elements,such as individual nodes,edges,and groups of edges,as well as by the nature of the connections between individuals.In most systems,attributes of individuals and communities are not taken into consideration during graph layout,except to derive weights for force-based placement strategies.This paper proposes a set of novel tools for displaying and exploring social networks based on attribute and connectivity mappings.These properties are employed to layout nodes on the plane via multidimensional projection techniques.For the attribute mapping,we show that node proximity in the layout corresponds to similarity in attribute,leading to easiness in locating similar groups of nodes.The projection based on connectivity yields an initial placement that forgoes force-based or graph analysis algorithm,reaching a meaningful layout in one pass.When a force algorithm is then applied to this initial mapping,the final layout presents better properties than conventional force-based approaches.Numerical evaluations show a number of advantages of pre-mapping points via projections.User evaluation demonstrates that these tools promote ease of manipulation as well as fast identification of concepts and associations which cannot be easily expressed by conventional graph visualization alone.In order to allow better space usage for complex networks,a graph mapping on the surface of a sphere is also implemented. | Rafael Messias Martins Gabriel Faria Andery Henry Heberle Fernando Vieira Paulovich Alneu de Andrade Lopes Helio Pedrini Rosane Minghim | 2012 | Journal of Computer Science & Technology2012，27，4： | 6 |
| 2 | Phase imaging with an untrained neural network显示文摘Most of the neural networks proposed so far for computational imaging(CI)in optics employ a supervised training strategy,and thus need a large training set to optimize their weights and biases.Setting aside the requirements of environmental and system stability during many hours of data acquisition,in many practical applications,it is unlikely to be possible to obtain sufficient numbers of ground-truth images for training.Here,we propose to overcome this limitation by incorporating into a conventional deep neural network a complete physical model that represents the process of image formation.The most significant advantage of the resulting physics-enhanced deep neural network(PhysenNet)is that it can be used without training beforehand,thus eliminating the need for tens of thousands of labeled data.We take single-beam phase imaging as an example for demonstration.We experimentally show that one needs only to feed PhysenNet a single diffraction pattern of a phase object,and it can automatically optimize the network and eventually produce the object phase through the interplay between the neural network and the physical model.This opens up a new paradigm of neural network design,in which the concept of incorporating a physical model into a neural network can be generalized to solve many other CI problems. | Fei Wang Yaoming Bian Haichao Wang Meng Lyu Giancarlo Pedrini Wolfgang Osten George Barbastathis Guohai Situ | 2020 | Light(Science & Applications)2020，9，1： | 3 |
| 3 | Lensless light-field imaging through diffuser encoding显示文摘Microlens array-based light-field imaging has been one of the most commonly used and effective technologies to record high-dimensional optical signals for developing various potential high-performance applications in many fields.However,the use of a microlens array generally suffers from an intrinsic trade-off between the spatial and angular resolutions.In this paper,we concentrate on exploiting a diffuser to explore a novel modality for light-field imaging.We demonstrate that the diffuser can efficiently angularly couple incident light rays into a detected image without needing any lens.To characterize and analyse this phenomenon,we establish a diffuser-encoding light-field transmission model,in which four-dimensional light fields are mapped into two-dimensional images via a transmission matrix describing the light propagation through the diffuser.Correspondingly,a calibration strategy is designed to flexibly determine the transmission matrix,so that light rays can be computationally decoupled from a detected image with adjustable spatio-angular resolutions,which are unshackled from the resolution limitation of the sensor.The proof-of-concept approach indicates the possibility of using scattering media for lensless four-dimensional light-field recording and processing,not just for two-or three-dimensional imaging. | Zewei Cai Jiawei Chen Giancarlo Pedrini Wolfgang Osten Xiaoli Liu Xiang Peng | 2020 | Light(Science & Applications)2020，9，1： | 2 |
| 4 | Simultaneous three-dimensional dynamic deformation measurements with pulsed digital holography显示文摘 | Schedin S Pedrini G Tiaiani HJ | 1999 | Appl Opt1999，38，34： | 2 |
| 5 | Modulation of statin- activated shedding of Alzheimer APP ectodomain by ROCK 显示文摘 | Pedrini S Carter TL Prendergast G | 2005 | PLoS Med2005，2，1： | 1 |
| 6 | Shape measurement of microscopic structures using digital holography显示文摘 | Pedrini G Froning P Tiziani H J | 1999 | Opt Commun1999，164，6： | 1 |
| 7 | Insulin - like growth factor I receptor gene structure 显示文摘 | Abbott A M Bueno R Pedrini M T | 1992 | Journal of Biological Chemistry1992，267，10： | 1 |
| 8 | Nongastric marginal zone B-cell lymphoma of mueosa-associated lymphoid tissue显示文摘 | Zucca E Conconi A Pedrinis E | 2003 | Blood2003，101，7： | 1 |
| 9 | Late occlusion of aortofemoral bypass graft:surgical treatment显示文摘 | Pedrini L Pisano E Donato DPM | 1994 | Cardiovasc Surg1994，2，： | 1 |
| 10 | Nongastric marginal zone B-cell lymphoma of mucosa-associated lymphoma tissue显示文摘 | Zucca E Conconi A Pedrinis E | 2003 | Blood2003，101，7： | 1 |
| 11 | A comparison of rate small intestine insulin and IFG-l response during fasting and refeeding显示文摘 | Ziegler TR Almahfouz A Pedrini MT | 1995 | Endocrinology1995，136，： | 1 |
| 12 | On-line surveillance of a dynamic process by a moving system based on pulsed digital holographic interferometry 显示文摘 | Giancarlo Pedrini Igor Alexeenko Wolfgang Osten | 2006 | Appl 0pt2006，45，： | 1 |
| 13 | The effect of neoadjuvant chemotherapy on hormone receptor sta- tus, HER2/neu and prolactin in breast cancer显示文摘 | Pedrini JL Franealacci SR Casales SM | 2011 | Tu- mori2011，97，6： | 1 |
| 14 | VEGF serum levels in depressed patients during SSRI antidepressant treatment显示文摘 | Ventriglia M Zanardini R Pedrini L | 2009 | Prog Neuropsychopharmacol Biol Psychiatry2009，33，1： | 1 |
| 15 | Pleiotropic anti-myeloma ac-tivity of ITF2357: inhibition of interleukin-6 receptor signaling andrepression of miR-19a and miR-19b显示文摘 | Todoerti K Barbui V Pedrini O | 2010 | Haematologica2010，95，2： | 1 |
| 16 | Phenotypic and genotypic analysis of Helicoverpa armigera nucleopolyhedrovirus serially passaged in cell culture显示文摘 | Lua L H L Pedrini M R S Reid S | 2002 | J Gen Virol2002，83，： | 1 |
| 17 | Spiral phase filtering and orientation-selective edge detection/enhance- ment 显示文摘 | Guohai Situ Giancarlo Pedrini Wolfgang Osten | 2009 | J Opt Soc Am A2009，26，8： | 1 |
| 18 | Shape measurement of microscopic structures using digital holography 显示文摘 | Pedrini G Froning P Tiziani H J | 1999 | Opt Commun1999，164，6： | 1 |
| 19 | Glycosaminoglycans of intervertebral disc in idiopathic scoliosis显示文摘 | Pedrini VA Ponseti IV Dohrman SC | 1973 | J Lab Clin Med1973，82，6： | 1 |
| 20 | Phase contrast enhancement in microscopy using spiral phase filtering 显示文摘 | Guohai Situ Michael Warber Giancarlo Pedrini | 2010 | Optics Communications2010，283，： | 1 |
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