References of "Verly, Jacques"
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See detailOn Extended Finite Element Method (XFEM) for modelling of organ deformations associated with surgical cuts
Vigneron, Lara M.; Warfield, Simon K.; Verly, Jacques ULg

Conference (2004)

Detailed reference viewed: 8 (2 ULg)
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See detailNonrigid registration and multimodality image fusion for 3D image-guided neurosurgery
Verly, Jacques ULg; Vigneron, Lara M.; Mercenier, Julien et al

Conference (2004)

Detailed reference viewed: 4 (0 ULg)
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See detailCanonical framework for describing suboptimum radar space-time adaptive processing (STAP) techniques
De Grève, Sébastien; Lapierre, Fabian D.; Verly, Jacques ULg

Conference (2004)

Detailed reference viewed: 1 (0 ULg)
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See detailNonrigid registration and multimodality image fusion for 3D image-guided neurochirurgical planning and navigation
Verly, Jacques ULg; Vigneron, Lara M.; Petitjean, Nicolas et al

Conference (2004)

Detailed reference viewed: 6 (0 ULg)
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See detailRobust Incremental Rectification of Sports Video Sequences
Hayet, Jean-Bernard; Piater, Justus ULg; Verly, Jacques ULg

in Proceedings of the British Machine Vision Conference (2004)

Detailed reference viewed: 15 (0 ULg)
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See detailIncremental Rectification of Sports Fields in Video Streams With Application to Soccer
Hayet, Jean-Bernard; Piater, Justus ULg; Verly, Jacques ULg

in Advanced Concepts for Intelligent Vision Systems (2004)

Detailed reference viewed: 26 (0 ULg)
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See detailNew Solutions to the Problem of Range Dependence in Bistatic STAP Radars
Lapierre, Fabian; Van Droogenbroeck, Marc ULg; Verly, Jacques ULg

in IEEE Radar Conference 2003, Proceedings (2003, May)

We address the problem of detecting slow-moving <br />targets using a space-time adaptive processing (STAP) radar. <br />The construction of optimum weights at each range implies <br />the estimation of ... [more ▼]

We address the problem of detecting slow-moving <br />targets using a space-time adaptive processing (STAP) radar. <br />The construction of optimum weights at each range implies <br />the estimation of the clutter covariance matrix. This is typically <br />done by straight averaging of neighboring data snapshots. <br />However, in bistatic configurations, these snapshots are rangedependent. <br />As a result, straight averaging results in poor performance. <br />After reviewing existing methods for handling the <br />range-dependence, we present new methods exploiting the precise <br />shape of the bistatic direction-Doppler curves. [less ▲]

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See detailNew methods for handling the range dependence of the clutter spectrum in non-sidelooking monostatic STAP radars
Lapierre, Fabian; Van Droogenbroeck, Marc ULg; Verly, Jacques ULg

in International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Proceedings, Volume 5 (2003, April)

We address the problem of detecting slow-moving targets using a non-sideloking monostatic space-time adaptive processing (STAP) radar. The construction of optimum weights at each range implies the ... [more ▼]

We address the problem of detecting slow-moving targets using a non-sideloking monostatic space-time adaptive processing (STAP) radar. The construction of optimum weights at each range implies the estimation of the clutter covariance matrix. This is typically done by straight averaging of neighboring data snapshots. The range-dependence of these snapshots generally results in poor performance. We present two new methods that handle the rangedependence by exploiting the geometry of the direction-Doppler curves. [less ▲]

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See detailHuman-Visual-System-Based Fusion of Multimodality 3D Neuroimagery using Brain-Shift-Compensating Finite-Element-Based Deformable Models
Verly, Jacques ULg; Vigneron, Lara; Petitjean, Nicolas et al

in Proceedings of SPIE (2003, February), 5029

Our goal is to fuse multimodality imagery to enhance image-guided neurosurgery. Images that need to be fused must be registered. Registration becomes a challenge when the imaged object deforms between the ... [more ▼]

Our goal is to fuse multimodality imagery to enhance image-guided neurosurgery. Images that need to be fused must be registered. Registration becomes a challenge when the imaged object deforms between the times the images to be fused are taken. This is the case when “brain-shift” occurs. We begin by describing our strategy for nonrigid registration via finite-element methods. Then, we independently discuss an image fusion strategy based on a model of the human visual system. We illustrate the operation of many components of the registration system and the operation of the fusion system. [less ▲]

Detailed reference viewed: 30 (4 ULg)
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See detailQuantification of Angiogenesis of Embryonic Implantation Site by Image Analysis
Le Maire, Sophie; Blacher, Silvia ULg; Frankenne, F. et al

Conference (2003)

Detailed reference viewed: 4 (0 ULg)
Peer Reviewed
See detailThe State of the Art in Multiple Object Tracking Under Occlusion in Video Sequences
Gabriel, Pierre F.; Verly, Jacques ULg; Piater, Justus ULg et al

Conference (2003)

Detailed reference viewed: 4 (1 ULg)
See detailAirborne pulse-Doppler radar and early forms of radar space-time processing
Verly, Jacques ULg

Scientific conference (2003)

Detailed reference viewed: 3 (0 ULg)
See detailModelling of STAP signals for monostatic configurations
Verly, Jacques ULg

Scientific conference (2003)

Detailed reference viewed: 5 (0 ULg)
See detailA current challenge: processing of bistatic STAP signals
Verly, Jacques ULg

Scientific conference (2003)

Detailed reference viewed: 6 (0 ULg)
See detailSpace-Time Adaptive Processing (STAP): an Overview
Verly, Jacques ULg

Scientific conference (2003)

Detailed reference viewed: 6 (1 ULg)