Images as embedding maps and minimal surfaces: movies, color, and volumetric medical images. - Ron Kimmel; Ravi Malladi; Nir A. Sochen (CVPR, 1997)

Images as Embedding Maps and Minimal Surfaces: A Unified Approach for Image Diffusion. - Ron Kimmel; Ravi Malladi; Nir A. Sochen (ICIP (3), 1997)

From High Energy Physics to Low Level Vision. - Ron Kimmel; Nir A. Sochen; Ravi Malladi (Scale-Space, 1997)

Image Processing via the Beltrami Operator. - Ron Kimmel; Ravi Malladi; Nir A. Sochen (ACCV (1), 1998)

Resolution enhancement of colored images by inverse diffusion processes. - Nir A. Sochen; Yehoshua Y. Zeevi (ICASSP, 1998)

Representation of Colored Images by Manifolds Embedded in Higher Dimensional Non-Euclidean Space. - Nir A. Sochen; Yehoshua Y. Zeevi (ICIP (1), 1998)

A general framework for low level vision. - Nir A. Sochen; Ron Kimmel; Ravi Malladi (IEEE Trans. Image Process., 1998)

The Beltrami geometrical framework of color image processing. - Nir A. Sochen; Yehoshua Y. Zeevi (ICASSP, 1999)

Geometric-Variational Approach for Color Image Enhancement and Segmentation. - Ron Kimmel; Nir A. Sochen (Scale-Space, 1999)

A Geometric Functional for Derivatives Approximation. - Nir A. Sochen; Robert M. Haralick; Yehoshua Y. Zeevi (Scale-Space, 1999)

Gabor-Space Geodesic Active Contours. - Chen Sagiv; Nir A. Sochen; Yehoshua Y. Zeevi (AFPAC, 2000)

Color Image Enhancement by a Forward-and-Backward Adaptive Beltrami Flow. - Nir A. Sochen; Guy Gilboa; Yehoshua Y. Zeevi (AFPAC, 2000)

Signal and image enhancement by a generalized forward-and-backward adaptive diffusion process. - Guy Gilboa; Yehoshua Y. Zeevi; Nir A. Sochen (EUSIPCO, 2000)

Differential Geometry Techniques in Stereo Vision. - Adee Ran; Nir A. Sochen (EuroCG, 2000)

Anisotropic selective inverse diffusion for signal enhancement in the presence of noise. - Guy Gilboa; Yehoshua Y. Zeevi; Nir A. Sochen (ICASSP, 2000)

Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images. - Ron Kimmel; Ravi Malladi; Nir A. Sochen (Int. J. Comput. Vis., 2000)

Gabor Feature Space Diffusion via the Minimal Weighted Area Method. - Chen Sagiv; Nir A. Sochen; Yehoshua Y. Zeevi (EMMCVPR, 2001)

Stochastic Processes in Vision: From Langevin to Beltrami. - Nir A. Sochen (ICCV, 2001)

Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes. - Guy Gilboa; Yehoshua Y. Zeevi; Nir A. Sochen (ICIP (3), 2001)

Using Beltrami Framework for Orientation Diffusion in Image Processing. - Ron Kimmel; Nir A. Sochen (IWVF, 2001)

Geometry Motivated Variational Segmentation for Color Images. - Alexander Brook; Ron Kimmel; Nir A. Sochen (Scale-Space, 2001)

Complex Diffusion Processes for Image Filtering. - Guy Gilboa; Yehoshua Y. Zeevi; Nir A. Sochen (Scale-Space, 2001)

Geodesic Active Contours Applied to Texture Feature Space. - Chen Sagiv; Nir A. Sochen; Yehoshua Y. Zeevi (Scale-Space, 2001)

Combing a Porcupine via Stereographic Direction Diffusion. - Nir A. Sochen; Ron Kimmel (Scale-Space, 2001)

Diffusions and Confusions in Signal and Image Processing. - Nir A. Sochen; Ron Kimmel; Alfred M. Bruckstein (J. Math. Imaging Vis., 2001)

Regularized Shock Filters and Complex Diffusion. - Guy Gilboa; Nir A. Sochen; Yehoshua Y. Zeevi (ECCV (1), 2002)

Orientation Diffusion or How to Comb a Porcupine. - Ron Kimmel; Nir A. Sochen (J. Vis. Commun. Image Represent., 2002)

Forward-and-backward diffusion processes for adaptive image enhancement and denoising. - Guy Gilboa; Nir A. Sochen; Yehoshua Y. Zeevi (IEEE Trans. Image Process., 2002)

The Beltrami Flow over Implicit Manifolds. - Nir A. Sochen; Rachid Deriche; Lucero Lopez Perez (ICCV, 2003)

A New Perspective [on] Shape-from-Shading. - Ariel Tankus; Nir A. Sochen; Yehezkel Yeshurun (ICCV, 2003)

PDE-based denoising of complex scenes using a spatially-varying fidelity term. - Guy Gilboa; Yehoshua Y. Zeevi; Nir A. Sochen (ICIP (1), 2003)

Variational Beltrami flows over manifolds. - Nir A. Sochen; Rachid Deriche; Lucero Lopez Perez (ICIP (1), 2003)

Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling. - Daniel Cremers; Nir A. Sochen; Christoph Schnörr (Scale-Space, 2003)

A Complete System of Measurement Invariants for Abelian Lie Transformation Groups. - Yaron Gvili; Nir A. Sochen (Scale-Space, 2003)

Efficient Beltrami Flow Using a Short Time Kernel. - Alon Spira; Ron Kimmel; Nir A. Sochen (Scale-Space, 2003)

Variational Restoration and Edge Detection for Color Images. - Alexander Brook; Ron Kimmel; Nir A. Sochen (J. Math. Imaging Vis., 2003)

Perspective Shape-from-Shading by Fast Marching. - Ariel Tankus; Nir A. Sochen; Yehezkel Yeshurun (CVPR (1), 2004)

Variational Pairing of Image Segmentation and Blind Restoration. - Leah Bar; Nir A. Sochen; Nahum Kiryati (ECCV (2), 2004)

Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation. - Daniel Cremers; Nir A. Sochen; Christoph Schnörr (ECCV (4), 2004)

The Beltrami Flow over Triangulated Manifolds. - Lucero Lopez Perez; Rachid Deriche; Nir A. Sochen (ECCV Workshops CVAMIA and MMBIA, 2004)

Unlevel-Sets: Geometry and Prior-Based Segmentation. - Tammy Riklin-Raviv; Nahum Kiryati; Nir A. Sochen (ECCV (4), 2004)

Non-Isotropic Regularization of the Correspondence Space in Stereo-Vision. - Rami Ben-Ari; Nir A. Sochen (ICPR (4), 2004)

Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-like Functional. - Micha Feigin; Nir A. Sochen (ICPR (2), 2004)

Reconstruction of Medical Images by Perspective Shape-from-Shading. - Ariel Tankus; Nir A. Sochen; Yehezkel Yeshurun (ICPR (3), 2004)

Image Sharpening by Flows Based on Triple Well Potentials. - Guy Gilboa; Nir A. Sochen; Yehoshua Y. Zeevi (J. Math. Imaging Vis., 2004)

Affine Invariant Flows in the Beltrami Framework. - Nir A. Sochen (J. Math. Imaging Vis., 2004)

Image Enhancement and Denoising by Complex Diffusion Processes. - Guy Gilboa; Nir A. Sochen; Yehoshua Y. Zeevi (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

StereographicCombing a Porcupine or Studies on Direction Diffusion in Image Processing. - Chen Sagiv; Nir A. Sochen; Ron Kimmel (SIAM J. Appl. Math., 2004)

Prior-Based Segmentation by Projective Registration and Level Sets. - Tammy Riklin-Raviv; Nahum Kiryati; Nir A. Sochen (ICCV, 2005)

Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. - Ofer Pasternak; Nir A. Sochen; Nathan Intrator; Yaniv Assaf (NIPS, 2005)

Image Deblurring in the Presence of Salt-and-Pepper Noise. - Leah Bar; Nir A. Sochen; Nahum Kiryati (Scale-Space, 2005)

Estimation of the Optimal Variational Parameter via SNR Analysis. - Guy Gilboa; Nir A. Sochen; Yehoshua Y. Zeevi (Scale-Space, 2005)

Scale-Space Generation via Uncertainty Principles. - Chen Sagiv; Nir A. Sochen; Yehoshua Y. Zeevi (Scale-Space, 2005)

Color Image Deblurring with Impulsive Noise. - Leah Bar; Alexander Brook; Nir A. Sochen; Nahum Kiryati (VLSM, 2005)

Denoising Tensors via Lie Group Flows. - Yaniv Gur; Nir A. Sochen (VLSM, 2005)

Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension. - David Shafrir; Nir A. Sochen; Rachid Deriche (VLSM, 2005)

Shape-from-Shading Under Perspective Projection. - Ariel Tankus; Nir A. Sochen; Yehezkel Yeshurun (Int. J. Comput. Vis., 2005)

Variational blind deconvolution of multi-channel images. - Ran Kaftory; Nir A. Sochen; Yehoshua Y. Zeevi (Int. J. Imaging Syst. Technol., 2005)

A Maximum Principle for Beltrami Color Flow. - Lorina Dascal; Nir A. Sochen (SIAM J. Appl. Math., 2005)

Variational Regularization of Multiple Diffusion Tensor Fields. - Ofer Pasternak; Nir A. Sochen; Yaniv Assaf (Visualization and Processing of Tensor Fields, 2006)

A General Framework and New Alignment Criterion for Dense Optical Flow. - Rami Ben-Ari; Nir A. Sochen (CVPR (1), 2006)

Segmentation by Level Sets and Symmetry. - Tammy Riklin-Raviv; Nahum Kiryati; Nir A. Sochen (CVPR (1), 2006)

Mutual Segmentation with Level Sets. - Tammy Riklin-Raviv; Nir A. Sochen; Nahum Kiryati (CVPR Workshops, 2006)

Image Inpainting via Fluid Equations. - Dalia Fishelov; Nir A. Sochen (ITRE, 2006)

Image Deblurring in the Presence of Impulsive Noise. - Leah Bar; Nahum Kiryati; Nir A. Sochen (Int. J. Comput. Vis., 2006)

A Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation. - Daniel Cremers; Nir A. Sochen; Christoph Schnörr (Int. J. Comput. Vis., 2006)

Editorial: Special issue for the 5th International Conference on Scale-Space and PDE Methods in Computer Vision. - Ron Kimmel; Nir A. Sochen; Joachim Weickert (Int. J. Comput. Vis., 2006)

The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties. - Chen Sagiv; Nir A. Sochen; Yehoshua Y. Zeevi (J. Math. Imaging Vis., 2006)

Semi-blind image restoration via Mumford-Shah regularization. - Leah Bar; Nir A. Sochen; Nahum Kiryati (IEEE Trans. Image Process., 2006)

Estimation of optimal PDE-based denoising in the SNR sense. - Guy Gilboa; Nir A. Sochen; Yehoshua Y. Zeevi (IEEE Trans. Image Process., 2006)

Variational denoising of partly textured images by spatially varying constraints. - Guy Gilboa; Nir A. Sochen; Yehoshua Y. Zeevi (IEEE Trans. Image Process., 2006)

Integrated active contours for texture segmentation. - Chen Sagiv; Nir A. Sochen; Yehoshua Y. Zeevi (IEEE Trans. Image Process., 2006)

Variational Stereo Vision with Sharp Discontinuities and Occlusion Handling. - Rami Ben-Ari; Nir A. Sochen (ICCV, 2007)

Fast Invariant Riemannian DT-MRI Regularization. - Yaniv Gur; Nir A. Sochen (ICCV, 2007)

Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging. - Sigal Trattner; Micha Feigin; Hayit Greenspan; Nir A. Sochen (ICCV, 2007)

Propagating Distributions for Segmentation of Brain Atlas. - Tammy Riklin-Raviv; Nir A. Sochen; Nahum Kiryati; Nir Ben-Zadok; Smadar Gefen; Louise Bertrand; Jonathan Nissanov (ISBI, 2007)

Restoration of Images with Piecewise Space-Variant Blur. - Leah Bar; Nir A. Sochen; Nahum Kiryati (SSVM, 2007)

Anisotropic alpha -Kernels and Associated Flows. - Micha Feigin; Nir A. Sochen; Baba C. Vemuri (SSVM, 2007)

Full Affine Wavelets Are Scale-Space with a Twist. - Yossi Ferdman; Chen Sagiv; Nir A. Sochen (SSVM, 2007)

Coordinate-Free Diffusion over Compact Lie-Groups. - Yaniv Gur; Nir A. Sochen (SSVM, 2007)

Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion. - Tammy Riklin-Raviv; Nahum Kiryati; Nir A. Sochen (Int. J. Comput. Vis., 2007)

On the Discrete Maximum Principle for the Beltrami Color Flow. - Lorina Dascal; Adi Ditkowski; Nir A. Sochen (J. Math. Imaging Vis., 2007)

Convergence of an Iterative Method for Variational Deconvolution and Impulsive Noise Removal. - Leah Bar; Nir A. Sochen; Nahum Kiryati (Multiscale Model. Simul., 2007)

Deblurring of Color Images Corrupted by Impulsive Noise. - Leah Bar; Alexander Brook; Nir A. Sochen; Nahum Kiryati (IEEE Trans. Image Process., 2007)

A Short- Time Beltrami Kernel for Smoothing Images and Manifolds. - Alon Spira; Ron Kimmel; Nir A. Sochen (IEEE Trans. Image Process., 2007)

Efficient anisotropic α-Kernels decompositions and flows. - Micha Feigin; Nir A. Sochen; Baba C. Vemuri (CVPR Workshops, 2008)

The discrete Fourier transform: A canonical basis of eigenfunctions. - Shamgar Gurevich; Ronny Hadani; Nir A. Sochen (EUSIPCO, 2008)

Deterministic dictionaries for sparsity: A group representation approach. - Shamgar Gurevich; Ronny Hadani; Nir A. Sochen (EUSIPCO, 2008)

Non-Abelian invariant feature detection. - Yaniv Gur; Nir A. Sochen (ICPR, 2008)

Group Representation Design of Digital Signals and Sequences. - Shamgar Gurevich; Ronny Hadani; Nir A. Sochen (SETA, 2008)

On some deterministic dictionaries supporting sparsity - Shamgar Gurevich; Ronny Hadani; Nir A. Sochen (CoRR, 2008)

The finite harmonic oscillator and its associated sequences - Shamgar Gurevich; Ronny Hadani; Nir A. Sochen (CoRR, 2008)

Shape-Based Mutual Segmentation. - Tammy Riklin-Raviv; Nir A. Sochen; Nahum Kiryati (Int. J. Comput. Vis., 2008)

A Geometric Approach for Regularization of the Data Term in Stereo-Vision. - Rami Ben-Ari; Nir A. Sochen (J. Math. Imaging Vis., 2008)

The Finite Harmonic Oscillator and Its Applications to Sequences, Communication, and Radar. - Shamgar Gurevich; Ronny Hadani; Nir A. Sochen (IEEE Trans. Inf. Theory, 2008)

Shape from Shading. - Ariel Tankus; Nir A. Sochen; Yehezkel Yeshurun (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise. - Micha Feigin; Nir A. Sochen (SSVM, 2009)

Fast GL(n)-Invariant Framework for Tensors Regularization. - Yaniv Gur; Ofer Pasternak; Nir A. Sochen (Int. J. Comput. Vis., 2009)

A Geometric Framework and a New Criterion in Optical Flow Modeling. - Rami Ben-Ari; Nir A. Sochen (J. Math. Imaging Vis., 2009)

Guest Editorial. - Laurent D. Cohen; Nir A. Sochen; Luminita A. Vese (J. Math. Imaging Vis., 2009)

Regularizing Flows over Lie Groups. - Yaniv Gur; Nir A. Sochen (J. Math. Imaging Vis., 2009)

On Symmetry, Perspectivity, and Level-Set-Based Segmentation. - Tammy Riklin-Raviv; Nir A. Sochen; Nahum Kiryati (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data. - Ran Shadmi; Arnaldo Mayer; Nir A. Sochen; Hayit Greenspan (ISBI, 2010)

The effect of metric selection on the analysis of diffusion tensor MRI data. - Ofer Pasternak; Nir A. Sochen; Peter J. Basser (NeuroImage, 2010)

Stereo Matching with Mumford-Shah Regularization and Occlusion Handling. - Rami Ben-Ari; Nir A. Sochen (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

Anisotropic Alpha-Kernels and Associated Flows. - Micha Feigin; Nir A. Sochen; Baba C. Vemuri (SIAM J. Imaging Sci., 2010)

Affine-invariant diffusion geometry for the analysis of deformable 3D shapes. - Dan Raviv; Michael M. Bronstein; Alexander M. Bronstein; Ron Kimmel; Nir A. Sochen (CVPR, 2011)

Polyakov Action on (ρ, G)-Equivariant Functions Application to Color Image Regularization. - Thomas Batard; Nir A. Sochen (SSVM, 2011)

From High Definition Image to Low Space Optimization. - Micha Feigin; Dan Feldman; Nir A. Sochen (SSVM, 2011)

Deblurring Space-Variant Blur by Adding Noisy Image. - Iftach Klapp; Nir A. Sochen; David Mendlovic (SSVM, 2011)

The Beltrami-Mumford-Shah Functional. - Nir A. Sochen; Leah Bar (SSVM, 2011)

Equi-affine Invariant Geometries of Articulated Objects. - Dan Raviv; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Nir A. Sochen (Theoretical Foundations of Computer Vision, 2011)

Affine-invariant geodesic geometry of deformable 3D shapes. - Dan Raviv; Alexander M. Bronstein; Michael M. Bronstein; Ron Kimmel; Nir A. Sochen (Comput. Graph., 2011)

SPD Tensors Regularization via Iwasawa Decomposition. - Yaniv Gur; Ofer Pasternak; Nir A. Sochen (Mathematical Methods for Signal and Image Analysis and Representation, 2012)

Uncertainty principles, minimum uncertainty samplings and translations. - Daniel Lantzberg; Florian Lieb; Hans-Georg Stark; Ron Levie; Nir A. Sochen (EUSIPCO, 2012)

Incremental Level Set Tracking. - Shay Dekel; Nir A. Sochen; Shai Avidan (Innovations for Shape Analysis, Models and Algorithms, 2013)

Learning Big (Image) Data via Coresets for Dictionaries. - Dan Feldman; Micha Feigin; Nir A. Sochen (J. Math. Imaging Vis., 2013)

Adjoint translation, adjoint observable and uncertainty principles. - Ron Levie; Hans-Georg Stark; Florian Lieb; Nir A. Sochen (Adv. Comput. Math., 2014)

A Class of Generalized Laplacians on Vector Bundles Devoted to Multi-Channel Image Processing. - Thomas Batard; Nir A. Sochen (J. Math. Imaging Vis., 2014)

Equi-affine Invariant Geometry for Shape Analysis. - Dan Raviv; Alexander M. Bronstein; Michael M. Bronstein; Dan Waisman; Nir A. Sochen; Ron Kimmel (J. Math. Imaging Vis., 2014)

Progress in the restoration of image sequences degraded by atmospheric turbulence. - Ronen Gal; Nahum Kiryati; Nir A. Sochen (Pattern Recognit. Lett., 2014)

Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration. - Leah Bar; Tony F. Chan; Ginmo Chung; Miyoun Jung; Luminita A. Vese; Nahum Kiryati; Nir A. Sochen (Handbook of Mathematical Methods in Imaging, 2015)

Coresets vs clustering: comparison of methods for redundancy reduction in very large white matter fiber sets. - Guy Alexandroni; Gali Zimmerman-Moreno; Nir A. Sochen; Hayit Greenspan (Image Processing, 2016)

Blind Space-Variant Single-Image Restoration of Defocus Blur. - Leah Bar; Nir A. Sochen; Nahum Kiryati (SSVM, 2017)

Uncertainty principles and optimally sparse wavelet transforms. - Ron Levie; Nir A. Sochen (CoRR, 2017)

A wavelet Plancherel theory with application to sparse continuous wavelet transform. - Ron Levie; Nir A. Sochen (CoRR, 2017)

The fiber-density-coreset for redundancy reduction in huge fiber-sets. - Guy Alexandroni; Gali Zimmerman-Moreno; Nir A. Sochen; Hayit Greenspan (NeuroImage, 2017)

Sampling Technique for Defining Segmentation Error Margins with Application to Structural Brain Mri. - Heli Ben Hamu Goldberg; Jonathan Mushkin; Tammy Riklin Raviv; Nir A. Sochen (ICIP, 2018)

Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems. - Leah Bar; Nir A. Sochen (CoRR, 2019)

Solving the functional Eigen-Problem using Neural Networks. - Ido Ben-Shaul; Leah Bar; Nir A. Sochen (CoRR, 2020)

Wavelet Design with Optimally Localized Ambiguity Function: a Variational Approach. - Ron Levie; Efrat Krimer Avraham; Nir A. Sochen (CoRR, 2021)

Existence of Uncertainty Minimizers for the Continuous Wavelet Transform. - Simon Halvdansson; Jan-Fredrik Olsen; Nir A. Sochen; Ron Levie (CoRR, 2021)

Strong Solutions for PDE-Based Tomography by Unsupervised Learning. - Leah Bar; Nir A. Sochen (SIAM J. Imaging Sci., 2021)

A note on the variation of geometric functionals. - Nir A. Sochen (CoRR, 2022)

Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH). - Alberto De Luca; Suheyla Cetin Karayumak; Alexander Leemans; Yogesh Rathi; Stephan P. Swinnen; Jolien Gooijers; Amanda Clauwaert; Roald Bahr; Stian Bahr Sandmo; Nir A. Sochen; David Kaufmann; Marc Muehlmann; et al. (NeuroImage, 2022)

Improving temperature estimation in low-cost infrared cameras using deep neural networks. - Navot Oz; Nir A. Sochen; David Mendelovich; Iftach Klapp (CoRR, 2023)

Simultaneous temperature estimation and nonuniformity correction from multiple frames. - Navot Oz; Omri Berman; Nir A. Sochen; David Mendelovich; Iftach Klapp (CoRR, 2023)

Level Set KSVD. - Omer Sapir; Iftach Klapp; Nir A. Sochen (CoRR, 2023)

Deep Learning Solution of the Eigenvalue Problem for Differential Operators. - Ido Ben-Shaul; Leah Bar; Dalia Fishelov; Nir A. Sochen (Neural Comput., 2023)

PETIT-GAN: Physically Enhanced Thermal Image-Translating Generative Adversarial Network. - Omri Berman; Navot Oz; David Mendlovic; Nir A. Sochen; Yafit Cohen; Iftach Klapp (WACV, 2024)

EVENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI. - Chenjun Li; Dian Yang; Shun Yao; Shuyue Wang; Ye Wu 001; Le Zhang 001; Qiannuo Li; Kang Ik Kevin Cho; Johanna Seitz-Holland; Lipeng Ning; Jon Haitz Legarreta; Yogesh Rathi; et al. (CoRR, 2024)

Simultaneous Temperature Estimation and Nonuniformity Correction From Multiple Frames. - Navot Oz; Omri Berman; Nir A. Sochen; David Mendlovic; Iftach Klapp (IEEE Trans. Image Process., 2024)

Fully Unsupervised Deep Spectral Clustering for Retinal Vessel Segmentation. - Benny Kupfer; Leah Bar; Nir A. Sochen (ISBI, 2025)

End-to-end pipeline for simultaneous temperature estimation and super resolution of low-cost uncooled infrared camera frames for precision agriculture applications. - Navot Oz; Nir A. Sochen; David Mendlovic; Iftach Klapp (Comput. Electron. Agric., 2025)

DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI. - Chenjun Li; Dian Yang; Shun Yao; Shuyue Wang; Ye Wu 001; Le Zhang 001; Qiannuo Li; Kang Ik Kevin Cho; Johanna Seitz-Holland; Lipeng Ning; Jon Haitz Legarreta; Yogesh Rathi; et al. (Comput. Medical Imaging Graph., 2025)

Scene-based nonuniformity correction with homography transformation. - Peretz Yafin; Nir A. Sochen; Iftach Klapp (CoRR, 2025)

DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI. - Chengjin Li; Yuqian Chen; Nir A. Sochen; Wei Zhang; Carl-Fredrik Westin; Yogesh Rathi; Lauren J. O'Donnell; Ofer Pasternak; Fan Zhang 013 (CoRR, 2025)