O. Dilian, R. Kimmel, R. Tezmah-Shahar, and M. Agmon, Can we quantify aging-associated postural changes using photogrammetry? A systematic review. Sensors, 2022.

P. Gautam, A.M. Bronstein, R. Talmon, and R. Kimmel, Deep Isometric maps, Image and Vision Computing, 2022.

B.N. Groisser, H.J. Hillstrom, A. Thakur, A. Thakur, K.W. Morse, M. Cunningham, M.T. Hresko, R. Kimmel, A. Wolf and R.F. Widmann, Reliability of automated topographic measurements for spine deformity. Spine Deformity, 2022.

H. Liu, X-C. Tai, R. Kimmel, and R. Glowinski A Color Elastica Model for Vector-Valued Image Regularization, SIAM Journal on Imaging Sciences, 2021.

G. Shamai, Y. Binenbaum,R. Slossberg, I. Duek, Z. Gil, and R. Kimmel, Artificial intelligence algorithms to assess hormonal status from tissue microarrays in patients with breast cancer, JAMA Network Open, July 26, 2019.

G. Shamai, R. Slossberg, and R. Kimmel, Synthesizing facial photometries and corresponding geometries using generative adversarial networks, ACM Trans. Multimedia Comput. Commun. Appl. (TOMM), 2019.

A. Zabatani, V. Surazhsky, E. Sperling, S. Ben Moshe, O. Menashe, D. H. Silver, T. Karni, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, Intel® RealSense™ SR300 coded light depth camera, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

G. Shamai, M. Zibulevsky, and R. Kimmel, Efficient inter-geodesic distance computation and fast classical scaling, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2019.

I. Amirav, C. K. Masumbuko, M. T. Hawkes, I. Solomon, Y. Aldar, G. Margalit, A. Zvirin, Y. Honen, E. S. Sivasivugha, and R. Kimmel, 3D analysis of child facial dimensions for design of medical devices in low-middle income countries (LMIC), PLOS One, May 23, 2019.

E. Tenetov, G. Wolansky, and R. Kimmel, Fast entropic regularized optimal transport using semidiscrete cost approximation, SIAM Journal on Scientific Computing, 40(5):A3400-A3422, 2018.

B. Groisser, R. Kimmel, G. Feldman, N. Rozen, and A. Wolf. 3D reconstruction of scoliotic spines from stereoradiography and depth imaging, Annals of Biomedical Engineering, 46(8): 1206-1215, 2018.

Y. Choukroun, G. Pai, and R. Kimmel. Sparse approximation of 3D meshes using the spectral geometry of the Hamiltonian operator, Journal of Mathematical Imaging and Vision, 2018.

Y. Choukroun, A. Shtern, A.M. Bronstein, and R. Kimmel. Hamiltonian operator for spectral shape analysis, IEEE Trans. Visualization and Computer Graphics, 2018.

A. Shtern, M. Sela, and R. Kimmel. Fast blended transformations for partial shape registration, Journal of Mathematical Imaging and Vision, 2018.

Y. Aflalo, and R. Kimmel. Regularized principal component analysis, Chinese Annals of Mathematics, Series B, 38B(1):1-12, 2017.

Y. Aflalo, H. Brezis, A. M. Bruckstein, R. Kimmel, and N. Sochen. Best bases for signal spaces, Comptes Rendus de l’Académie des Sciences – Series I, 2016.

A. Dubrovina, A. Kisilev, B. Ginsburg, S. Hashoul, and R. Kimmel, Computational mammography using deep neural networks, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2016.

Y. Aflalo, A. Dubrovina, and R. Kimmel. Spectral generalized multi-dimensional scaling, International Journal of Computer Vision, 29:1-13, 2016.

M. Sela, Y. Aflalo, and R. Kimmel. Computational caricaturization of surfaces, Computer Vision and Image Understanding, 141:1-17, 2015.

A. Shtern and R. Kimmel. Spectral gradient fields embedding for nonrigid shape matching, Computer Vision and Image Understanding, 140:21-29, 2015.

Y. Aflalo, H. Brezis, and R. Kimmel. On the optimality of shape and data representation in the spectral domain, SIAM Journal on Imaging Sciences, 8(2):1141-1160, May 21, 2015.

Y. Aflalo, A. M. Bronstein, and R. Kimmel. On convex relaxation of graph isomorphism, Proc. National Academy of Sciences (PNAS), Feb. 23, 2015.

A. Dubrovina, G. Rosman, and R. Kimmel. Multi-region active contours with a single level set function, IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 37(8):1585-1601, 2015.

D. Raviv and R. Kimmel. Affine invariant non-rigid shape analysis, International Journal of Computer Vision, 111(1):1-11, 2015.

R. Mecca, A. Wetzler, A. M. Bruckstein, and R. Kimmel, Near field photometric stereo with point light sources, SIAM Journal of Imaging Science, 7(4):2732-2770, 2014.

D. Raviv, A. M. Bronstein, M. M. Bronstein, D. Waisman, N. Sochen, and R. Kimmel. Equi-affine invariant geometry for shape analysis , Journal of Mathematical Imaging and Vision, 50(1-2):144-163, 2014.

A. Shtern and R. Kimmel. Matching the LBO eigenspace of non-rigid shapes via high order statistics, Axioms, 3:300-319, 2014.

G. Rosman, X-C. Tai, R. Kimmel, and A. M. Bruckstein. Augmented-Lagrangian regularization of matrix-valued maps, Methods and Applications of Analysis, 21(1):105-122, 2014.

Y. Aflalo, and R. Kimmel. Spectral multidimensional scaling, Proc. National Academy of Sciences (PNAS), 110(45):18052-7, 2013.

I. Amirav, A.S. Luder, A. Halamish, D. Raviv, R. Kimmel, D. Waisman, and M. T. Newhouse, Design of aerosol face masks for children using computerized 3D face analysis, Journal of Aerosol Medicine and Pulmonary Drug Delivery, 26(0):1-7, 2013.

D. Raviv, R. Kimmel, and A. M. Bruckstein. Graph isomorphisms and automorphisms via spectral signatures, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 35(8):1985-1993, 2013.

Y. Aflalo, R. Kimmel and M. Zibulevsky. Conformal mapping with as uniform as possible conformal factor, SIAM Journal of Imaging Science, 6(1):78-101, 2013.

G. Rosman, A. Dubrovina, and R. Kimmel. Patch-collaborative spectral surface denoising, Computer Graphics Forum, 32(8):1-12, 2013. (high resolution 30MB).

A. Kovnatsky, M. M. Bronstein, A. M. Bronstein, K. Glashoff, and R. Kimmel. Coupled quasi-harmonic bases, Computer Graphics Forum (Eurographics) , 23(2.4):439-448, 2013.

D. Raviv, A. Dubrovina and R. Kimmel. Hierarchical framework for shape correspondence, Numerical Mathematics: Theory, Methods and Applications, 6:245-261, 2013.

A. Kovnatsky, D. Raviv, M. M. Bronstein, A. M. Bronstein, and R. Kimmel. Geometric and photometric data fusion in non-rigid shape analysis, Numerical Mathematics: Theory, Methods and Applications, 6(1):199-222, 2013.

G. Rosman, L. Dascal, X.C. Tai, and R. Kimmel. On semi-implicit splitting schemes for the Beltrami color image filtering, Journal of Mathematical Imaging and Vision,40:199-213, 2011.

Dubrovina, and R. Kimmel. Approximately isometric shape correspondence by matching pointwise spectral features and global geodesic structures, Advances in Adaptive Data Analysis (AADA), 3(1-2):203-228, 2011.

D. Raviv, A. M. Bronstein, M. M. Bronstein, R. Kimmel, and N. Sochen. Affine-invariant geodesic geometry of deformable 3D shapes, Computers & Graphics (SMI’11) , 35(3):692-697, June, 2011.

R. Kimmel, C. Zhang, A. M. Bronstein, and M. M. Bronstein. Are MSER features really interesting? IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 33(11):2316-2320, 2011.

A. M. Bronstein, M. M. Bronstein, M. Mahmoudi, R. Kimmel, and G. Sapiro. A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching, International Journal of Computer Vision, 89(2-3):266-286, 2010.

G. Rosman, M. M. Bronstein, A. M. Bronstein, and R. Kimmel. Nonlinear dimensionality reduction by topologically constrained isometric embedding, International Journal of Computer Vision, 89(1):56-68, 2010.

D. Raviv, A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Full and partial symmetries of non-rigid shapes, International Journal of Computer Vision, 89(1):18-39, 2010.

G. Rosman, L. Dascal, A. Sidi, and R. Kimmel. Efficient Beltrami image filtering via vector extrapolation methods, SIAM Journal on Imaging Sciences,2(3):858-878, 2009.

A. Adam, R. Kimmel, E. Rivlin. On scene segmentation and histograms-based curve evolution. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 31(9):1708-1714, 2009

A. M. Bronstein, M. M. Bronstein, Y. Carmon and R. Kimmel. Partial similarity of shapes using a statistical significance measure, IPSJ Transactions on Computer Vision and Applications (CVA), 1:105-114, 2009.

A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Topology-invariant similarity of nonrigid shapes, International Journal of Computer Vision, 81(3):281-301, 2009.

A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel. Partial similarity of objects, or how to compare a centaur to a horse, International Journal of Computer Vision, 84(2):163-183, 2009.

O. Weber, Y. Devir, A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Parallel algorithms for approximation of distance maps on parametric surfaces, ACM Transactions on Graphics, 27(4), 2008. Presented in SIGGRAPH 2008 . Resources: SSE2 code GPU code (by Ofir Weber)

A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel. Analysis of two-dimensional non-rigid shapes , International Journal of Computer Vision, 78:67-88, 2008.

A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Calculus of non-rigid surfaces for geometry and texture manipulation, IEEE Trans. Visualization and Computer Graphics 13(5):902-913, 2007.

M. Elad, R. Goldenberg, and R. Kimmel. Low bit-rate compression of facial images, IEEE Trans. Image Processing. 16(9):2379-2383, 2007.

T. Nir, A. M. Bruckstein, and R. Kimmel. Over-parameterized variational optical flow, International Journal of Computer Vision. ISSN 0920-5691 (Print) 1573-1405 (Online), 2007.

A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Weighted distance maps computation on parametric three-dimensional manifolds, Journal of Computational Physics. 225(1):771-784, 2007.

I. Blayvas, E. Rivlin, and R. Kimmel. Role of optics in the accuracy of depth from defocus systems, Journal of Optical Society of America A (JOSA). 24(4):967-972, 2007.

A. Spira, and R. Kimmel. Geometric curve flows on parametric manifolds,
Journal of Computational Physics. 223:235-249, 2007.

A. Spira, R. Kimmel, and N. Sochen. A short time Beltrami kernel for smoothing images and manifolds, IEEE Trans. Image Processing, 16(6):1628-1636, 2007. (PDF)

A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Expression-invariant representations of faces, IEEE Trans. Image Processing, 16(1):188-197, 2007.

A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Efficient computation of isometry-invariant distances between surfaces, SIAM Journal of Scientific Computing. 28(5):1812-1836, 2006.

M. Aharon and R. Kimmel. Representation analysis and synthesis of lip images using dimensionality reduction, International Journal of Computer Vision, 67(3):297-312, 2006.

A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching, Proc. National Academy of Sciences (PNAS),103(5):1168-1172, 2006.

M. M. Bronstein, A. M. Bronstein, R. Kimmel, and I. Yavneh. Multigrid multidimensional scaling, Numerical Linear Algebra with Applications, 13(2-3):149-171, 2006.

M. Holtzman-Gazit, R. Kimmel, N. Peled, and D. Goldsher. Segmentation of thin structures in volumetric medical images, IEEE Trans. on Image Processing, 15(2):354-363, 2006.

I. Blayvas, A.M. Bruckstein and R. Kimmel. Efficient computation of adaptive threshold surfaces for image binarization, Pattern Recognition. 39(1):89-101, 2006.

A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Three-dimensional face recognition, International Journal of Computer Vision. 64(1):5-30, 2005.

R. Kimmel, D. Shaked, M. Elad, and I. Sobel. Space dependent color gamut mapping: A variational approach, IEEE Trans. on Image Processing 14(6):796-804, 2005.

R. Goldenberg, R. Kimmel, E. Rivlin, and M. Rudzsky. Behavior classification by eigendecomposition of periodic motions, Pattern Recognition. 23:1033-1043, 2005.

A. Spira and R. Kimmel. An efficient solution to the eikonal equation on parametric manifolds, Interfaces and Free Boundaries. 6(3): 315-327, Sep. 2004. (PDF) (PDF-Final)

N. A. Sochen, C. Sagiv, and R. Kimmel. Stereographic combing a porcupine or studies on direction diffusion in image processing, SIAM Journal on Applied Mathematics. 64(5):1477-1508, 2004.

D. Barash, T. Schlick, M. Israeli, and R. Kimmel. Multiplicative operator splittings in non-linear diffusion: from spatial splitting to multiplicative timesteps, Journal of Mathematical Imaging and Vision, 19:33-48, 2003.

M. Elad, R. Kimmel, D. Shaked, and R. Keshet. Reduced complexity Retinex algorithm via the variational approach, Journal of Visual Communication and Image Representation, 14(4):369-545, 2003.

A. Elad (Elbaz) and R. Kimmel. On bending invariant signatures for surfaces, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 25(10):1285-1295, 2003.

A.M. Bruckstein, M. Elad, and R. Kimmel. Downscaling for better transform compression IEEE Trans. on Image Processing. 12(9):1132-1144, 2003.

I. Blayvas and R. Kimmel. Machine learning via multi-resolution approximation, Invited paper, Special issue on multi-resolution analysis, IEICE Trans. Inf.&Syst. E86-D(7):1172-1180, July, 2003.

R. Kimmel and A.M. Bruckstein. On regularized Laplacian zero crossings and other optimal edge integrators, International Journal of Computer Vision, 53(3):225-243, 2003.

R. Kimmel, M. Elad, D. Shaked, R. Keshet, and I. Sobel. A variational framework for Retinex, International Journal of Computer Vision, 52(1):7-23, 2003.

A. Brook, R. Kimmel, and N. Sochen. Variational restoration and edge detection for color images, Journal of Mathematical Imaging and Vision, 18:247-268, 2003.

R. Kimmel and I. Yavneh. An algebraic multigrid approach for image analysis, SIAM Journal on Scientific Computing, 24(4):1218-1231, 2003.

R. Goldenberg, R. Kimmel, E. Rivlin, M. Rudzsky, Cortex Segmentation – A fast variational geometric approach, IEEE Trans. on Medical Imaging, 21(2):1544-1551, Dec. 2002.

J. Gil and R. Kimmel. Efficient dilation, erosion, opening and closing algorithms. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 24(12):1606-1617, 2002.

R. Grossmann, N. Kiryati, and R. Kimmel. Computational surface flattening: A voxel-based approach. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI),  24(4):433-441, 2002.

G. Zigelman, R. Kimmel, and N. Kiryati, Texture mapping using surface flattening via multi-dimensional scaling, (ps.gz) IEEE Trans. on Visualization and Computer Graphics, 8(2):198-207, 2002. (PDF). (PDF-final)

R. Kimmel.  3D shape reconstruction from Autostereograms and stereo. special issue on PDEs in Image Processing, Computer Vision, and Computer Graphics, Journal of Visual Communication and Image Representation, 13:324-333, 2002.

R. Kimmel and N. Sochen. Orientation diffusion or how to comb a porcupine?  special issue on PDEs in Image Processing, Computer Vision, and Computer Graphics, Journal of Visual Communication and Image Representation, 13:238-248, 2002.

R. Kimmel and J. A. Sethian. Optimal algorithm for shape from shading and path planning.  Journal of Mathematical Imaging and Vision, 14(3):237-244, 2001.

N. Sochen, R. Kimmel, and A.M. Bruckstein. Diffusions and confusions in signal and image processing,  Journal of Mathematical Imaging and Vision, 14(3):195-209, 2001. (PDF)

R. Goldenberg, R. Kimmel, E. Rivlin, and M. Rudzsky. Fast Geodesic Active Contours. IEEE Tran. on Image Processing, 10(10):1467-1475, 2001. (PDF)

R. Kimmel, R. Malladi, and N. Sochen. Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images. International Journal of Computer Vision, 39(2):111-129, Sept. 2000. some color results  (PDF)

R. Kimmel.Demosaicing: Image reconstruction from color CCD samples. IEEE Trans. on Image Processing, 8(9):1221-8, Sept. 1999  (PDF) and
some color results  (PDF)

R. Kimmel and J. A. Sethian. Computing geodesic paths on manifolds in the Proceedings of National Academy of Sciences, 95(15):8431-8435, July, 1998. (PDF)

R. Kimmel, N. Kiryati, and A. M. Bruckstein. Multi-valued distance maps in finding shortest paths between moving obstacles. IEEE Trans. on Robotics & Automation, 14(3):427-436, 1998. (PDF)

N. Sochen, R. Kimmel and R. Malladi. A Geometrical Framework for Low Level Vision. IEEE Trans. on Image Processing, Special Issue on PDE based Image Processing, 7(3):310-318, 1998. (PDF)

A. Steiner, R. Kimmel, and A. M. Bruckstein. Shape enhancement and exaggeration. Graphical Models and Image Processing 60(2): 1112-124, 1998. (PDF)

R. Kimmel. Intrinsic scale space for images on surfaces: The geodesic curvature flow. Graphical Models and Image Processing, 59(5):365-372, 1997. (PDF)

V. Caselles, R. Kimmel, G. Sapiro, and C. Sbert. Minimal surfaces based object segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 19(4):394-398, 1997. (PDF)

V. Caselles, R. Kimmel, G. Sapiro, and C. Sbert. Minimal surfaces: A geometric three dimensional segmentation approach.  Numerische Mathematik, 77(4):423-451, 1997. (PDF)

L. Cohen and R. Kimmel.  Global minimum for active contours models: A minimal path approach. International Journal of Computer Vision, 24(1):57-78, 1997. (PDF)

R. Kimmel, N. Kiryati, and A. M. Bruckstein. Analyzing and synthesizing images by evolving curves with the Osher-Sethian method.  International Journal of Computer Vision,  24(1):37-56, 1997. (PDF)

V. Caselles, R. Kimmel, and G. Sapiro.  Geodesic active contours. International Journal of Computer Vision, 22(1):61-79, 1997.  (PDF)

I. Shimshoni, R. Kimmel, and A. M. Bruckstein. DIALOGUE: Global shape from shading. Comp. Vision and Image Understanding, 64(1):188-189, 1996. (PDF)

R. Kimmel and N. Kiryati. Finding shortest paths on surfaces by fast global approximation and precise local refinement.  International Journal of Pattern Recognition and Artificial Intelligence, 10(6):643-656, 1996. (PDF)

R. Kimmel, N. Kiryati, and A. M. Bruckstein. Distance maps and weighted distance transforms. Journal of Mathematical Imaging and Vision, Special Issue on Topology and Geometry in Computer Vision, 6:223-233, 1996. (PDF)

R. Kimmel, D. Shaked, N. Kiryati, and A. M. Bruckstein. Skeletonization via distance maps and level sets. Comp. Vision and Image Understanding, 62(3):382-391, 1995.

R. Kimmel, K. Siddiqi, B. B. Kimia, and A. M. Bruckstein. Shape from shading: Level set propagation and viscosity solutions. International Journal of Computer Vision, 16:107-133, 1995.

R. Kimmel and G. Sapiro. Shortening three dimensional curves via two dimensional flows. International Journal: Computers & Mathematics with Applications, 29(3):49-62, 1995.

R. Kimmel and A. M. Bruckstein.Global shape from shading. Comp. Vision and Image Understanding, 62(3):360-369, 1995.

R. Kimmel and A. M. Bruckstein.Tracking level sets by level sets: A method for solving the shape from shading problem. Comp. Vision and Image Understanding, 62(2):47-58, 1995.

R. Kimmel, A. Amir, and A. M. Bruckstein. Finding shortest paths on surfaces using level sets propagation. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 17(6):635-640, 1995.

G. Sapiro, R. Kimmel, D. Shaked, B. Kimia, and A. M. Bruckstein. Implementing continuous-scale morphology via curve evolution.
Pattern Recognition, 26(9):1363-1372, 1993.

R. Kimmel and A. M. Bruckstein. Shape offsets via level sets. CAD (Computer Aided Design), 25(3):154-162, 1993.