| Year |
Citation |
Score |
| 2016 |
Tari S, Vese L, Rangarajan A. Guest Editorial: Shape Analysis Beyond the Eikonal Equation Journal of Mathematical Imaging and Vision. 55: 151-152. DOI: 10.1007/S10851-016-0642-Z |
0.469 |
|
| 2015 |
Yanovsky I, Lambrigtsen BH, Tanner AB, Vese LA. Efficient Deconvolution and Super-Resolution Methods in Microwave Imagery Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/Jstars.2015.2424451 |
0.417 |
|
| 2015 |
Lederman C, Joshi A, Dinov I, van Horn JD, Vese L, Toga A. A Unified Variational Volume Registration Method Based on Automatically Learned Brain Structures Journal of Mathematical Imaging and Vision. DOI: 10.1007/S10851-015-0604-X |
0.744 |
|
| 2015 |
Bar L, Chan TF, Chung G, Jung M, Kiryati N, Sochen N, Vese LA. Mumford and shah model and its applications to image segmentation and image restoration Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. 1539-1597. DOI: 10.1007/978-1-4939-0790-8_25 |
0.457 |
|
| 2014 |
Tong M, Kim Y, Zhan L, Sapiro G, Lenglet C, Mueller BA, Thompson PM, Vese LA. A vectorial total variation model for denoising high angular resolution diffusion images corrupted by Rician noise Methods and Applications of Analysis. 21: 151-176. DOI: 10.4310/Maa.2014.V21.N1.A7 |
0.656 |
|
| 2014 |
Schaeffer H, Duggan N, Guyader CL, Vese L. Topology preserving active contours Communications in Mathematical Sciences. 12: 1329-1342. DOI: 10.4310/Cms.2014.V12.N7.A8 |
0.469 |
|
| 2014 |
Kim Y, Garnett JB, Vese LA. Image restoration using one-dimensional sobolev norm profiles of noise and texture Siam Journal On Imaging Sciences. 7: 366-390. DOI: 10.1137/130911275 |
0.664 |
|
| 2014 |
Duggan N, Bae E, Jones E, Glavin M, Vese L. A simple boundary reinforcement technique for segmentation without prior Pattern Recognition Letters. 46: 27-35. DOI: 10.1016/J.Patrec.2014.04.014 |
0.395 |
|
| 2014 |
Schaeffer H, Vese L. Active contours with free endpoints Journal of Mathematical Imaging and Vision. 49: 20-36. DOI: 10.1007/S10851-013-0437-4 |
0.475 |
|
| 2013 |
Schaeffer H, Garnett J, Vese L. A texture model based on a concentration of measure Inverse Problems and Imaging. 7: 927-946. DOI: 10.3934/Ipi.2013.7.927 |
0.389 |
|
| 2013 |
Yan M, Bui AAT, Cong J, Vese LA. General convergent expectation maximization (EM)-type algorithms for image reconstruction Inverse Problems and Imaging. 7: 1007-1029. DOI: 10.3934/Ipi.2013.7.1007 |
0.39 |
|
| 2013 |
Jung M, Marquina A, Vese LA. Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels Journal of Computational and Applied Mathematics. 240: 123-134. DOI: 10.1016/j.cam.2012.07.009 |
0.478 |
|
| 2012 |
Lin T, Guyader CL, Dinov I, Thompson P, Toga A, Vese L. Gene Expression Data to Mouse Atlas Registration Using a Nonlinear Elasticity Smoother and Landmark Points Constraints. Journal of Scientific Computing. 50. PMID 24273381 DOI: 10.1007/S10915-011-9563-6 |
0.586 |
|
| 2012 |
Tong M, Kim Y, Zhan L, Sapiro G, Lenglet C, Mueller BA, Thompson PM, Vese LA. A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 530-533. PMID 22902985 DOI: 10.1109/ISBI.2012.6235602 |
0.655 |
|
| 2012 |
Athavale P, Vese LA. Placental fetal stem segmentation in a sequence of histology images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 8314. DOI: 10.1117/12.911763 |
0.342 |
|
| 2012 |
Jung M, Resmerita E, Vese LA. Dual norm based iterative methods for image restoration Journal of Mathematical Imaging and Vision. 44: 128-149. DOI: 10.1007/s10851-011-0318-7 |
0.45 |
|
| 2011 |
Jung M, Bresson X, Chan TF, Vese LA. Nonlocal Mumford-Shah regularizers for color image restoration. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 20: 1583-98. PMID 21078579 DOI: 10.1109/Tip.2010.2092433 |
0.442 |
|
| 2011 |
Lederman C, Joshi A, Dinov I, Vese L, Toga A, Van Horn JD. The generation of tetrahedral mesh models for neuroanatomical MRI. Neuroimage. 55: 153-64. PMID 21073968 DOI: 10.1016/J.Neuroimage.2010.11.013 |
0.77 |
|
| 2011 |
Buades A, Le T, Morel J, Vese L. Cartoon+Texture Image Decomposition Image Processing On Line. 1. DOI: 10.5201/Ipol.2011.Blmv_Ct |
0.66 |
|
| 2011 |
Garnett JB, Jones PW, Le TM, Vese LA. Modeling Oscillatory Components with The Homogeneous Spaces BM-α and W-α,p* Pure and Applied Mathematics Quarterly. 7: 275-318. DOI: 10.4310/Pamq.2011.V7.N2.A2 |
0.572 |
|
| 2011 |
Almoussa N, Dutra B, Lampe B, Getreuer P, Wittman T, Salafia C, Vese L. Automated vasculature extraction from placenta images Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7962. DOI: 10.1117/12.878343 |
0.719 |
|
| 2011 |
Yan M, Vese LA. Expectation maximization and total variation-based model for computed tomography reconstruction from undersampled data Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7961. DOI: 10.1117/12.878238 |
0.311 |
|
| 2011 |
Mohieddine R, Vese LA. An open level set framework for image segmentation and restoration using the Mumford and Shah model Proceedings of Spie - the International Society For Optical Engineering. 7873. DOI: 10.1117/12.872457 |
0.405 |
|
| 2011 |
Kim Y, Garnett J, Vese L. A convex minimization model in image restoration via one-dimensional Sobolev norm profiles Proceedings - International Conference On Image Processing, Icip. 693-696. DOI: 10.1109/ICIP.2011.6116647 |
0.674 |
|
| 2011 |
Le Guyader C, Vese LA. A combined segmentation and registration framework with a nonlinear elasticity smoother Computer Vision and Image Understanding. 115: 1689-1709. DOI: 10.1016/j.cviu.2011.05.009 |
0.403 |
|
| 2011 |
Getreuer P, Tong M, Vese LA. A variational model for the restoration of MR images corrupted by blur and rician noise Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6938: 686-698. DOI: 10.1007/978-3-642-24028-7_63 |
0.42 |
|
| 2011 |
Garnett JB, Jones PW, Le TM, Vese LA. Modeling oscillatory components with the homogeneous spaces BṀO-α and Ẇ-α,p Pure and Applied Mathematics Quarterly. 7: 275-318. |
0.571 |
|
| 2010 |
Lederman C, Joshi A, Dinov I, Van Horn JD, Vese L, Toga A. TETRAHEDRAL MESH GENERATION FOR MEDICAL IMAGES WITH MULTIPLE REGIONS USING ACTIVE SURFACES. Proceedings / Ieee International Symposium On Biomedical Imaging: From Nano to Macro. Ieee International Symposium On Biomedical Imaging. 2010: 436-439. PMID 21278816 DOI: 10.1109/ISBI.2010.5490317 |
0.767 |
|
| 2010 |
Kim Y, Thompson PM, Vese LA. HARDI DATA DENOISING USING VECTORIAL TOTAL VARIATION AND LOGARITHMIC BARRIER. Inverse Problems and Imaging (Springfield, Mo.). 4: 273-310. PMID 20802839 DOI: 10.3934/Ipi.2010.4.273 |
0.67 |
|
| 2010 |
Buades A, Le TM, Morel JM, Vese LA. Fast cartoon + texture image filters. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 19: 1978-86. PMID 20350842 DOI: 10.1109/Tip.2010.2046605 |
0.671 |
|
| 2010 |
Lu H, Lin T, Lee A, Vese L, Yuille A. Recovering the functional form of the slow-and-smooth prior in global motion perception Journal of Vision. 10: 819-819. DOI: 10.1167/10.7.819 |
0.429 |
|
| 2010 |
Duval V, Aujol JF, Vese LA. Mathematical modeling of textures: Application to color image decomposition with a projected gradient algorithm Journal of Mathematical Imaging and Vision. 37: 232-248. DOI: 10.1007/s10851-010-0203-9 |
0.461 |
|
| 2010 |
Jung M, Resmerita E, Vese L. An iterative method with general convex fidelity term for image restoration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6311: 185-199. DOI: 10.1007/978-3-642-15549-9_14 |
0.435 |
|
| 2010 |
Lin T, Dinov I, Toga A, Vese L. Nonlinear elasticity registration and sobolev gradients Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6204: 269-280. DOI: 10.1007/978-3-642-14366-3_24 |
0.39 |
|
| 2009 |
Kim Y, Thompson PM, Toga AW, Vese L, Zhan L. HARDI denoising: variational regularization of the spherical apparent diffusion coefficient sADC. Information Processing in Medical Imaging : Proceedings of the ... Conference. 21: 515-27. PMID 19694290 DOI: 10.1007/978-3-642-02498-6_43 |
0.653 |
|
| 2009 |
Lin T, Le Guyader C, Lee EF, Dinov ID, Thompson PM, Toga AW, Vese LA. Gene to mouse atlas registration using a landmark-based nonlinear elasticity smoother Progress in Biomedical Optics and Imaging - Proceedings of Spie. 7259. DOI: 10.1117/12.812491 |
0.481 |
|
| 2009 |
Jung M, Chung G, Sundaramoorthi G, Vese LA, Yuille AL. Sobolev gradients and joint variational image segmentation, denoising and deblurring Proceedings of Spie - the International Society For Optical Engineering. 7246. DOI: 10.1117/12.806067 |
0.418 |
|
| 2009 |
Jung M, Marquina A, Vese LA. Multiframe image restoration in the presence of noisy blur kernel Proceedings - International Conference On Image Processing, Icip. 1529-1532. DOI: 10.1109/ICIP.2009.5413623 |
0.461 |
|
| 2009 |
Kim Y, Thompson P, Toga A, Vese L, Zhan L. Minimization Models For Hardi Data Denoising Neuroimage. 47. DOI: 10.1016/S1053-8119(09)70255-1 |
0.619 |
|
| 2009 |
Le TM, Lieu LH, Vese LA. (Φ,Φ*) Image decomposition models and minimization algorithms Journal of Mathematical Imaging and Vision. 33: 135-148. DOI: 10.1007/S10851-008-0130-1 |
0.769 |
|
| 2009 |
Cohen LD, Sochen N, Vese LA. Journal of Mathematical Imaging and Vision: Guest editorial Journal of Mathematical Imaging and Vision. 33: 121. DOI: 10.1007/s10851-008-0128-8 |
0.38 |
|
| 2009 |
Hong BW, Soatto S, Vese LA. Enforcing local context into shape statistics Advances in Computational Mathematics. 31: 185-213. DOI: 10.1007/S10444-008-9104-5 |
0.319 |
|
| 2009 |
Chung G, Vese LA. Image segmentation using a multilayer level-set approach Computing and Visualization in Science. 12: 267-285. DOI: 10.1007/S00791-008-0113-1 |
0.634 |
|
| 2009 |
Jung M, Bresson X, Chan TF, Vese LA. Color image restoration using nonlocal Mumford-Shah regularizers Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5681: 373-387. DOI: 10.1007/978-3-642-03641-5_28 |
0.476 |
|
| 2009 |
Jung M, Vese LA. Nonlocal variational image deblurring models in the presence of gaussian or impulse noise Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5567: 401-412. DOI: 10.1007/978-3-642-02256-2_34 |
0.317 |
|
| 2009 |
Duval V, Aujol JF, Vese L. Projected gradient based color image decomposition Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5567: 295-306. DOI: 10.1007/978-3-642-02256-2_25 |
0.443 |
|
| 2008 |
Le Guyader C, Vese LA. Self-repelling snakes for topology-preserving segmentation models. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 17: 767-79. PMID 18390381 DOI: 10.1109/TIP.2008.919951 |
0.348 |
|
| 2008 |
Tadmor E, Nezzar S, Vese L. Multiscale hierarchical decomposition of images with applications to deblurring, denoising and segmentation Communications in Mathematical Sciences. 6: 281-307. DOI: 10.4310/Cms.2008.V6.N2.A2 |
0.434 |
|
| 2008 |
Kim Y, Vese LA. Functional minimization problems in image processing Proceedings of Spie - the International Society For Optical Engineering. 6814. DOI: 10.1117/12.775699 |
0.699 |
|
| 2008 |
Lin T, Lee EF, Dinov I, Le Guyader C, Thompson P, Toga AW, Vese LA. A landmark-based nonlinear elasticity model for mouse atlas registration 2008 5th Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Proceedings, Isbi. 788-791. DOI: 10.1109/ISBI.2008.4541114 |
0.429 |
|
| 2008 |
Lieu LH, Vese LA. Image restoration and decomposition via bounded total variation and negative Hilbert-Sobolev spaces Applied Mathematics and Optimization. 58: 167-193. DOI: 10.1007/S00245-008-9047-8 |
0.79 |
|
| 2007 |
Elion C, Vese LA. An image decomposition model using the total variation and the infinity Laplacian Proceedings of Spie - the International Society For Optical Engineering. 6498. DOI: 10.1117/12.716079 |
0.476 |
|
| 2007 |
Vese LA, Osher SJ. Color texture modeling and color image decomposition in a variational-PDE approach Proceedings of the 8th International Symposium On Symbolic and Numeric Algorithms For Scientific Computing, Synasc 2006. 103-110. DOI: 10.1109/SYNASC.2006.24 |
0.368 |
|
| 2007 |
Garnett JB, Le TM, Meyer Y, Vese LA. Image decompositions using bounded variation and generalized homogeneous Besov spaces Applied and Computational Harmonic Analysis. 23: 25-56. DOI: 10.1016/J.Acha.2007.01.005 |
0.711 |
|
| 2006 |
Chung G, Le TM, Lieu LH, Tanushev NM, Vese LA. Computational methods for image restoration, image segmentation, and texture modeling Proceedings of Spie - the International Society For Optical Engineering. 6065. DOI: 10.1117/12.659849 |
0.781 |
|
| 2006 |
Hong BW, Prados E, Soatto S, Vese L. Shape representation based on integral kernels: Application to image matching and segmentation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: 833-840. DOI: 10.1109/CVPR.2006.277 |
0.378 |
|
| 2005 |
Le TM, Vese LA. Image decomposition using total variation and div(BMO) Multiscale Modeling and Simulation. 4: 390-423. DOI: 10.1137/040610052 |
0.696 |
|
| 2004 |
Tadmor E, Nezzar S, Vese L. A Multiscale Image Representation Using Hierarchical (BV,L2) Decompositions Multiscale Modeling & Simulation. 2: 554-579. DOI: 10.1137/030600448 |
0.388 |
|
| 2004 |
Leow A, Chiang MC, Protas H, Thompson P, Vese L, Huang HSC. Linear and non-linear geometric object matching with implicit representation Proceedings - International Conference On Pattern Recognition. 3: 710-713. DOI: 10.1109/ICPR.2004.1334627 |
0.305 |
|
| 2004 |
Vese LA, Osher SJ. Image Denoising and Decomposition with Total Variation Minimization and Oscillatory Functions Journal of Mathematical Imaging and Vision. 20: 7-18. DOI: 10.1023/B:Jmiv.0000011316.54027.6A |
0.483 |
|
| 2003 |
Bertalmio M, Vese L, Sapiro G, Osher S. Simultaneous structure and texture image inpainting. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 12: 882-9. PMID 18237962 DOI: 10.1109/Tip.2003.815261 |
0.46 |
|
| 2003 |
Osher S, Solé A, Vese L. Image Decomposition and Restoration Using Total Variation Minimization and theH1 Multiscale Modeling & Simulation. 1: 349-370. DOI: 10.1137/S1540345902416247 |
0.504 |
|
| 2003 |
Vese LA, Osher SJ. Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing Journal of Scientific Computing. 19: 553-572. DOI: 10.1023/A:1025384832106 |
0.451 |
|
| 2003 |
Favaro P, Osher S, Soatto S, Vese L. 3D shape from anisotropic diffusion Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I/179-I/186. |
0.351 |
|
| 2003 |
Bertalmio M, Vese L, Sapiro G, Osher S. Image filling-in in a decomposition space Ieee International Conference On Image Processing. 1: 853-855. |
0.468 |
|
| 2003 |
Osher S, Solé A, Vese L. Image decomposition, image restoration, and texture modeling using total variation minimization and the H -1 norm Ieee International Conference On Image Processing. 1: 689-692. |
0.472 |
|
| 2002 |
Vese LA, Chan TF. A multiphase level set framework for image segmentation using the Mumford and Shah model International Journal of Computer Vision. 50: 271-293. DOI: 10.1023/A:1020874308076 |
0.357 |
|
| 2002 |
Liao WH, Yu CL, Bergsneider M, Vese L, Huang SC. A New Framework of Quantifying Differences between Images by Matching Gradient Fields and Its Application to Image Blending Ieee Nuclear Science Symposium and Medical Imaging Conference. 2: 1092-1096. |
0.471 |
|
| 2001 |
Chan TF, Vese LA. Active contours without edges. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 10: 266-77. PMID 18249617 DOI: 10.1109/83.902291 |
0.444 |
|
| 2000 |
Chan TF, Yezrielev Sandberg B, Vese LA. Active contours without edges for vector-valued images Journal of Visual Communication and Image Representation. 11: 130-141. DOI: 10.1006/Jvci.1999.0442 |
0.336 |
|
| 2000 |
Chan TF, Vese LA. An efficient variational multiphase motion for the Mumford-Shah segmentation model Conference Record of the Asilomar Conference On Signals, Systems and Computers. 1: 490-494. |
0.337 |
|
| 1997 |
Aubert G, Vese L. A Variational Method in Image Recovery Siam Journal On Numerical Analysis. 34: 1948-1979. DOI: 10.1137/S003614299529230X |
0.411 |
|
| Low-probability matches (unlikely to be authored by this person) |
| 2001 |
Vese L. A study in the BV space of a denoising-deblurring variational problem Applied Mathematics and Optimization. 44: 131-161. DOI: 10.1007/s00245-001-0017-7 |
0.299 |
|
| 2002 |
Vese LA, Osher SJ. Numerical methods for p-harmonic flows and applications to image processing Siam Journal On Numerical Analysis. 40: 2085-2104. DOI: 10.1137/S0036142901396715 |
0.288 |
|
| 2011 |
Lederman C, Vese L, Chien A. Registration for 3D morphological comparison of brain aneurysm growth Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6938: 392-399. DOI: 10.1007/978-3-642-24028-7_36 |
0.288 |
|
| 2008 |
Daubechies I, Teschke G, Vese L. On some iterative concepts for image restoration Advances in Imaging and Electron Physics. 150: 1-51. DOI: 10.1016/S1076-5670(07)00001-8 |
0.284 |
|
| 2012 |
Chen J, Cong J, Vese LA, Villasenor J, Yan M, Zou Y. A hybrid architecture for compressive sensing 3-D CT reconstruction Ieee Journal On Emerging and Selected Topics in Circuits and Systems. 2: 616-625. DOI: 10.1109/Jetcas.2012.2221530 |
0.282 |
|
| 2005 |
Chung G, Vese LA. Energy minimization based segmentation and denoising using a multilayer level set approach Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3757: 439-455. DOI: 10.1007/11585978_29 |
0.28 |
|
| 2004 |
Cecil T, Osher S, Vese L. Numerical methods for minimization problems constrained to S1 and S2 Journal of Computational Physics. 198: 567-579. DOI: 10.1016/J.Jcp.2004.01.020 |
0.268 |
|
| 2003 |
Liao WH, Protas H, Bergsneider M, Vese L, Huang SC, Osher S. A new framework for object warping: A semi-lagrangian level set approach Ieee International Conference On Image Processing. 3: 685-688. |
0.258 |
|
| 2014 |
Schaeffer H, Vese L. Variational dynamics of free triple junctions Journal of Scientific Computing. 59: 386-411. DOI: 10.1007/S10915-013-9767-Z |
0.257 |
|
| 2011 |
Yan M, Chen J, Vese LA, Villasenor J, Bui A, Cong J. EM+TV based reconstruction for cone-beam CT with reduced radiation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6938: 1-10. DOI: 10.1007/978-3-642-24028-7_1 |
0.252 |
|
| 2005 |
Gout C, Le Guyader C, Vese L. Segmentation under geometrical conditions using geodesic active contours and interpolation using level set methods Numerical Algorithms. 39: 155-173. DOI: 10.1007/s11075-004-3627-8 |
0.247 |
|
| 2009 |
Erdem E, Tari S, Vese L. Segmentation using the edge strength function as a shape prior within a local deformation model Proceedings - International Conference On Image Processing, Icip. 2989-2992. DOI: 10.1109/ICIP.2009.5414504 |
0.234 |
|
| 1999 |
Vese L. A method to convexify functions via curve evolution Communications in Partial Differential Equations. 24: 1573-1591. |
0.227 |
|
| 2013 |
Duggan N, Schaeffer H, Le Guyader C, Jones E, Glavin M, Vese L. Boundary detection in echocardiography using a Split Bregman edge detector and a topology preserving level set approach Proceedings - International Symposium On Biomedical Imaging. 73-76. DOI: 10.1109/ISBI.2013.6556415 |
0.207 |
|
| 2003 |
Liao WH, Vese L, Huang SC, Bergsneider M, Osher S. Computational anatomy and implicit object representation: A level set approach Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2717: 40-49. |
0.203 |
|
| 1999 |
Chan T, Vese L. An active contour model without edges Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1682: 141-151. |
0.168 |
|
| 2010 |
Chung G, Dinov ID, Toga AW, Vese LA. MRI tissue segmentation using a variational multilayer approach Computational Biomechanics For Medicine. 5-16. DOI: 10.1007/978-1-4419-5874-7_2 |
0.16 |
|
| 2007 |
Yanovsky I, Thompson PM, Osher S, Vese L, Leow AD. Multiphase segmentation of deformation using logarithmic priors Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383431 |
0.16 |
|
| 2012 |
Bui A, Kwang-Ting Cheng, Cong J, Vese L, Wang YC, Yuan B, Zou Y. Platform characterization for domain-specific computing Proceedings of the Asia and South Pacific Design Automation Conference, Asp-Dac. 94-99. DOI: 10.1109/ASPDAC.2012.6165071 |
0.134 |
|
| 2018 |
Debroux N, Le Guyader C, Vese L. A second order free discontinuity model for bituminous surfacing crack recovery and analysis of a nonlocal version of it Annals of Mathematical Sciences and Applications. 3: 49-88. DOI: 10.4310/amsa.2018.v3.n1.a3 |
0.086 |
|
| 2015 |
Duggan N, Bae E, Shen S, Hsu W, Bui A, Jones E, Glavin M, Vese L. A technique for lung nodule candidate detection in ct using global minimization methods Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8932: 478-491. |
0.07 |
|
| 2010 |
Lu H, Lin T, Lee ALF, Vese L, Yuille A. Functional form of motion priors in human motion perception Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.041 |
|
| Hide low-probability matches. |