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Nahum Kiryati
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Publications
- 2023
- [c68]Omri Leshem, Nahum Kiryati, Michael Green, Ilya Nelkenbaum, Dani Roizen, Arnaldo Mayer:
Fast Acquisition for Diffusion Tensor Tractography. CDMRI@MICCAI 2023: 118-128 - 2022
- [j60]Maya Mayberg, Michael Green, Mark Vasserman, Dominique Raichman, Eugenia Belenky, Michael Wolf, Shai Shrot, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Anisotropic neural deblurring for MRI acceleration. Int. J. Comput. Assist. Radiol. Surg. 17(2): 315-327 (2022) - [c67]Noa Barzilay, Ilya Nelkenbaum, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI. ECCV Workshops (3) 2022: 252-267 - [c66]Gali Hod, Michael Green, Mark Waserman, Eli Konen, Shai Shrot, Ilya Nelkenbaum, Nahum Kiryati, Arnaldo Mayer:
Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI. ECCV Workshops (3) 2022: 268-280 - 2020
- [j57]Itzik Avital, Ilya Nelkenbaum, Galia Tsarfaty, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Neural Segmentation of Seeding ROIs (sROIs) for Pre-Surgical Brain Tractography. IEEE Trans. Medical Imaging 39(5): 1655-1667 (2020) - [c65]Ilya Nelkenbaum, Galia Tsarfaty, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences. ISBI 2020: 368-371 - [c64]Ophir Yaniv, Orith Portnoy, Amit Talmon, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
V-Net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation. ISBI 2020: 442-445 - [c63]Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer:
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound. ML-CDS/CLIP@MICCAI 2020: 125-135 - [c62]Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer:
Labeling of Multilingual Breast MRI Reports. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 233-241 - [c61]Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer:
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet). MIDL 2020: 784-794 - [i6]Chen-Han Tsai, Nahum Kiryati, Eli Konen, Iris Eshed, Arnaldo Mayer:
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet). CoRR abs/2005.02706 (2020) - [i5]Chen-Han Tsai, Nahum Kiryati, Eli Konen, Miri Sklair-Levy, Arnaldo Mayer:
Labeling of Multilingual Breast MRI Reports. CoRR abs/2007.03028 (2020) - [i4]Gavriel Habib, Nahum Kiryati, Miri Sklair-Levy, Anat Shalmon, Osnat Halshtok Neiman, Renata Faermann Weidenfeld, Yael Yagil, Eli Konen, Arnaldo Mayer:
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound. CoRR abs/2009.11009 (2020) - 2019
- [j56]Shaked Perek, Nahum Kiryati, Gali Zimmerman-Moreno, Miri Sklair-Levy, Eli Konen, Arnaldo Mayer:
Classification of contrast-enhanced spectral mammography (CESM) images. Int. J. Comput. Assist. Radiol. Surg. 14(2): 249-257 (2019) - [c60]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising. ISBI 2019: 1635-1638 - [c59]Michael Green, Miri Sklair-Levy, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Neural Denoising of Ultra-low Dose Mammography. MLMIR@MICCAI 2019: 215-225 - 2018
- [j55]Neta Blau, Eyal Klang, Nahum Kiryati, Michal Marianne Amitai, Orith Portnoy, Arnaldo Mayer:
Fully automatic detection of renal cysts in abdominal CT scans. Int. J. Comput. Assist. Radiol. Surg. 13(7): 957-966 (2018) - [j54]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
3-D Neural denoising for low-dose Coronary CT Angiography (CCTA). Comput. Medical Imaging Graph. 70: 185-191 (2018) - [c58]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Learning Real Noise for Ultra-Low Dose Lung CT Denoising. Patch-MI@MICCAI 2018: 3-11 - 2017
- [j53]Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Patient-specific image denoising for ultra-low-dose CT-guided lung biopsies. Int. J. Comput. Assist. Radiol. Surg. 12(12): 2145-2155 (2017) - [c53]Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising. Patch-MI@MICCAI 2017: 102-110 - [c52]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Blind Space-Variant Single-Image Restoration of Defocus Blur. SSVM 2017: 109-120 - 2016
- [c51]Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM). MICCAI (3) 2016: 423-431 - 2015
- [c50]Yuval Frommer, Rami Ben-Ari, Nahum Kiryati:
Shape from Focus with Adaptive Focus Measure and High Order Derivatives. BMVC 2015: 134.1-134.12 - [r1]Leah Bar, Tony F. Chan, Ginmo Chung, Miyoun Jung, Luminita A. Vese, Nahum Kiryati, Nir A. Sochen:
Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration. Handbook of Mathematical Methods in Imaging 2015: 1539-1597 - 2014
- [j52]Ronen Gal, Nahum Kiryati, Nir A. Sochen:
Progress in the restoration of image sequences degraded by atmospheric turbulence. Pattern Recognit. Lett. 48: 8-14 (2014) - 2013
- [j51]Tali Basha, Yael Moses, Nahum Kiryati:
Multi-view Scene Flow Estimation: A View Centered Variational Approach. Int. J. Comput. Vis. 101(1): 6-21 (2013) - 2010
- [c46]Tali Basha, Yael Moses, Nahum Kiryati:
Multi-view scene flow estimation: A view centered variational approach. CVPR 2010: 1506-1513 - 2009
- [j48]Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati:
On Symmetry, Perspectivity, and Level-Set-Based Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 31(8): 1458-1471 (2009) - [c45]Nir Ben-Zadok, Tammy Riklin Raviv, Nahum Kiryati:
Interactive Level Set Segmentation for Image-Guided Therapy. ISBI 2009: 1079-1082 - 2008
- [j47]Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati:
Shape-Based Mutual Segmentation. Int. J. Comput. Vis. 79(3): 231-245 (2008) - [j46]Smadar Gefen, Nahum Kiryati, Jonathan Nissanov:
Atlas-Based Indexing of Brain Sections via 2-D to 3-D Image Registration. IEEE Trans. Biomed. Eng. 55(1): 147-156 (2008) - [c44]Nahum Kiryati, Tammy Riklin-Raviv, Yan Ivanchenko, Shay Rochel:
Real-time abnormal motion detection in surveillance video. ICPR 2008: 1-4 - 2007
- [j45]Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen:
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion. Int. J. Comput. Vis. 72(3): 309-328 (2007) - [j44]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Convergence of an Iterative Method for Variational Deconvolution and Impulsive Noise Removal. Multiscale Model. Simul. 6(3): 983-994 (2007) - [j41]Leah Bar, Alexander Brook, Nir A. Sochen, Nahum Kiryati:
Deblurring of Color Images Corrupted by Impulsive Noise. IEEE Trans. Image Process. 16(4): 1101-1111 (2007) - [c42]Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati, Nir Ben-Zadok, Smadar Gefen, Louise Bertrand, Jonathan Nissanov:
Propagating Distributions for Segmentation of Brain Atlas. ISBI 2007: 1304-1307 - [c41]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Restoration of Images with Piecewise Space-Variant Blur. SSVM 2007: 533-544 - 2006
- [j39]Leah Bar, Nahum Kiryati, Nir A. Sochen:
Image Deblurring in the Presence of Impulsive Noise. Int. J. Comput. Vis. 70(3): 279-298 (2006) - [j37]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Semi-blind image restoration via Mumford-Shah regularization. IEEE Trans. Image Process. 15(2): 483-493 (2006) - [c39]Smadar Gefen, Nahum Kiryati, Louise Bertrand, Jonathan Nissanov:
Planar-to-Curved-Surface Image Registration. CVPR Workshops 2006: 72 - [c38]Tammy Riklin-Raviv, Nir A. Sochen, Nahum Kiryati:
Mutual Segmentation with Level Sets. CVPR Workshops 2006: 177 - [c37]Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen:
Segmentation by Level Sets and Symmetry. CVPR (1) 2006: 1015-1022 - 2005
- [c35]Smadar Gefen, Louise Bertrand, Nahum Kiryati, Jonathan Nissanov:
Localization of Sections Within the Brain Via 2D to 3D Image Registration. ICASSP (2) 2005: 733-736 - [c34]Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen:
Prior-Based Segmentation by Projective Registration and Level Sets. ICCV 2005: 204-211 - [c33]Ariel Tankus, Nahum Kiryati:
Photometric Stereo under Perspective Projection. ICCV 2005: 611-616 - [c30]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Image Deblurring in the Presence of Salt-and-Pepper Noise. Scale-Space 2005: 107-118 - [c29]Leah Bar, Alexander Brook, Nir A. Sochen, Nahum Kiryati:
Color Image Deblurring with Impulsive Noise. VLSM 2005: 49-60 - 2004
- [c28]Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen:
Unlevel-Sets: Geometry and Prior-Based Segmentation. ECCV (4) 2004: 50-61 - [c27]Leah Bar, Nir A. Sochen, Nahum Kiryati:
Variational Pairing of Image Segmentation and Blind Restoration. ECCV (2) 2004: 166-177 - [c26]Udy Danino, Nahum Kiryati, Miriam Furst:
Algorithm for facial weight-change [image weight-change simulator]. ICECS 2004: 318-321 - 2002
- [j34]Ruth Grossmann, Nahum Kiryati, Ron Kimmel:
Computational Surface Flattening: A Voxel-Based Approach. IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 433-441 (2002) - [j33]Gil Zigelman, Ron Kimmel, Nahum Kiryati:
Texture Mapping Using Surface Flattening via Multidimensional Scaling. IEEE Trans. Vis. Comput. Graph. 8(2): 198-207 (2002) - [c23]Hayit Greenspan, Gal Oz, Nahum Kiryati, Sharon Peled:
Super-resolution in MRI. ISBI 2002: 943-946 - 2001
- [j32]Daniel Harari, Miriam Furst, Nahum Kiryati, Asaf Caspi, Michael Davidson:
A computer-based method for the assessment of body-image distortions in anorexia-nervosa patients. IEEE Trans. Inf. Technol. Biomed. 5(4): 311-319 (2001) - [c22]Ruth Grossmann, Nahum Kiryati, Ron Kimmel:
Computational Surface Flattening: A Voxel-Based Approach. IWVF 2001: 196-204 - [c21]Hayit Greenspan, Sharon Peled, Gal Oz, Nahum Kiryati:
MRI Inter-slice Reconstruction Using Super-Resolution. MICCAI 2001: 1204-1206 - 2000
- [j31]Nahum Kiryati, Alfred M. Bruckstein:
Heteroscedastic Hough Transform (HtHT): An Efficient Method for Robust Line Fitting in the 'Errors in the Variables' Problem. Comput. Vis. Image Underst. 78(1): 69-83 (2000) - [j30]Yoav Y. Schechner, Nahum Kiryati, Ronen Basri:
Separation of Transparent Layers using Focus. Int. J. Comput. Vis. 39(1): 25-39 (2000) - [j28]Yoav Y. Schechner, Nahum Kiryati:
Depth from Defocus vs. Stereo: How Different Really Are They? Int. J. Comput. Vis. 39(2): 141-162 (2000) - [j27]Nahum Kiryati, Alfred M. Bruckstein, H. Mizrahi:
Comments on: 'Robust Line Fitting in a Noisy Image by the Method of Moments'. IEEE Trans. Pattern Anal. Mach. Intell. 22(11): 1340-1341 (2000) - [c19]Yoav Y. Schechner, Joseph Shamir, Nahum Kiryati:
Blind Recovery of Transparent and Semireflected Scenes. CVPR 2000: 1038-1043 - [c18]Daniel Harari, Miriam Furst, Nahum Kiryati, Asaf Caspi, Michael Davidson:
Computer-Based Assessment of Body Image Distortion in Anorexia Nervosa Patients. MICCAI 2000: 766-775 - [c17]Yoav Y. Schechner, Nahum Kiryati, Joseph Shamir:
Multi-valued Images and Their Separation. Theoretical Foundations of Computer Vision 2000: 129-141 - 1999
- [c15]Yoav Y. Schechner, Joseph Shamir, Nahum Kiryati:
Polarization-based Decorrelation of Transparent Layers: The Inclination Angle of an Invisible Surface. ICCV 1999: 814-819 - [c14]Yoav Y. Schechner, Nahum Kiryati:
The Optimal Axial Interval in Estimating Depth from Defocus. ICCV 1999: 843-848 - 1998
- [j22]Amnon Jonas, Nahum Kiryati:
Length Estimation in 3-D Using Cube Quantization. J. Math. Imaging Vis. 8(3): 215-238 (1998) - [j21]Dalit Caspi, Nahum Kiryati, Joseph Shamir:
Range Imaging With Adaptive Color Structured Light. IEEE Trans. Pattern Anal. Mach. Intell. 20(5): 470-480 (1998) - [j20]Ron Kimmel, Nahum Kiryati, Alfred M. Bruckstein:
Multivalued distance maps for motion planning on surfaces with moving obstacles. IEEE Trans. Robotics Autom. 14(3): 427-436 (1998) - [c13]Yoav Y. Schechner, Nahum Kiryati, Ronen Basri:
Separation of Transparent Layers Using Focus. ICCV 1998: 1061-1066 - [c12]Yoav Y. Schechner, Nahum Kiryati:
Depth from defocus vs. stereo: how different really are they? ICPR 1998: 1784-1786 - [c11]Dalit Caspi, Nahum Kiryati, Joseph Shamir:
Adaptive Color Structured Light. MVA 1998: 367-370 - 1997
- [j19]Ron Kimmel, Nahum Kiryati, Alfred M. Bruckstein:
Analyzing and Synthesizing Images by Evolving Curves with the Osher-Sethian Method. Int. J. Comput. Vis. 24(1): 37-55 (1997) - [j17]Amnon Jonas, Nahum Kiryati:
Digital representation schemes for 3d curves. Pattern Recognit. 30(11): 1803-1816 (1997) - 1996
- [j16]Doron Shaked, O. Yaron, Nahum Kiryati:
Deriving Stopping Rules for the Probabilistic Hough Transform by Sequential Analysis. Comput. Vis. Image Underst. 63(3): 512-526 (1996) - [j15]Ron Kimmel, Nahum Kiryati:
Finding The Shortest Paths on Surfaces by Fast Global Approximation and Precise Local Refinement. Int. J. Pattern Recognit. Artif. Intell. 10(6): 643-656 (1996) - [j14]Ron Kimmel, Nahum Kiryati, Alfred M. Bruckstein:
Sub-pixel distance maps and weighted distance transforms. J. Math. Imaging Vis. 6(2-3): 223-233 (1996) - 1995
- [j13]Ron Kimmel, Doron Shaked, Nahum Kiryati, Alfred M. Bruckstein:
Skeletonization via Distance Maps and Level Sets. Comput. Vis. Image Underst. 62(3): 382-391 (1995) - [j12]Nahum Kiryati, Alfred M. Bruckstein, Amnon Jonas:
Bit Allocation in Piecewise-Planar Representation of Images. J. Vis. Commun. Image Represent. 6(1): 52-58 (1995) - [j11]Nahum Kiryati, Olaf Kübler:
Chain code probabilities and optimal length estimators for digitized three-dimensional curves. Pattern Recognit. 28(3): 361-372 (1995) - 1994
- [j9]Yachin Pnueli, Nahum Kiryati, Alfred M. Bruckstein:
Hough techniques for fast optimization of linear constant velocity motion in moving influence fields. Pattern Recognit. Lett. 15(4): 329-336 (1994) - [c7]Doron Shaked, O. Yaron, Nahum Kiryati:
Deriving stopping rules for the probabilistic Hough transform by sequential analysis. ICPR (2) 1994: 229-234 - [c6]Ron Kimmel, Nahum Kiryati, Alfred M. Bruckstein:
Using multi-layer distance maps for motion planning on surfaces with moving obstacles. ICPR (1) 1994: 367-372 - 1993
- [j8]Nahum Kiryati, Gábor Székely:
Estimating shortest paths and minimal distances on digitized three-dimensional surfaces. Pattern Recognit. 26(11): 1623-1637 (1993) - 1992
- [j7]Nahum Kiryati, Alfred M. Bruckstein:
What's in a Set of Points? (Straight Line Fitting). IEEE Trans. Pattern Anal. Mach. Intell. 14(4): 496-500 (1992) - [c5]Nahum Kiryati, Olaf Kübler:
On chain code probabilities and length estimators for digitized three dimensional curves. ICPR (1) 1992: 259-262 - [c4]Nahum Kiryati, Alfred M. Bruckstein:
On piecewise-planar representation of images. ICPR (3) 1992: 451-454 - 1991
- [j6]Nahum Kiryati, Alfred M. Bruckstein:
Gray levels can improve the performance of binary image digitizers. CVGIP Graph. Model. Image Process. 53(1): 31-39 (1991) - [j5]Nahum Kiryati, Alfred M. Bruckstein:
Antialiasing the Hough transform. CVGIP Graph. Model. Image Process. 53(3): 213-222 (1991) - [j4]Nahum Kiryati, Alfred M. Bruckstein:
On Navigating Between Friends and Foes. IEEE Trans. Pattern Anal. Mach. Intell. 13(6): 602-606 (1991) - [j3]Nahum Kiryati, Yuval Eldar, Alfred M. Bruckstein:
A probabilistic Hough transform. Pattern Recognit. 24(4): 303-316 (1991) - [j2]Nahum Kiryati, Michael Lindenbaum, Alfred M. Bruckstein:
Digital or analog Hough transform? Pattern Recognit. Lett. 12(5): 291-297 (1991) - 1990
- [c3]Nahum Kiryati, Michael Lindenbaum, Alfred M. Bruckstein:
Digital or analog Hough Transform?. BMVC 1990: 1-6 - 1988
- [c2]Nahum Kiryati, Alfred M. Bruckstein:
Gray-levels can improve the performance of binary image digitizers. CVPR 1988: 562-567
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