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Nahum Kiryati
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2020 – today
- 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) - [j59]Basel Ibrahim, Nahum Kiryati:
Detecting Cocircular Subsets of a Spherical Set of Points. J. Imaging 8(7): 184 (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 - 2021
- [j58]Nahum Kiryati, Yuval Landau:
Dataset Growth in Medical Image Analysis Research. J. Imaging 7(8): 155 (2021) - 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)
2010 – 2019
- 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 - [i3]Yuval Landau, Nahum Kiryati:
Dataset Growth in Medical Image Analysis Research. CoRR abs/1908.07765 (2019) - 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) - [c57]Oded Krams, Nahum Kiryati:
People detection in top-view fisheye imaging. AVSS 2017: 1-6 - [c56]Naftali Zon, Rana Hanocka, Nahum Kiryati:
Fast and Easy Blind Deblurring Using an Inverse Filter and PROBE. CAIP (2) 2017: 269-281 - [c55]Naftali Zon, Nahum Kiryati:
Unified Functional Framework for Restoration of Image Sequences Degraded by Atmospheric Turbulence. EMMCVPR 2017: 205-219 - [c54]Adi Perry, Dor Verbin, Nahum Kiryati:
Crossing the Road Without Traffic Lights: An Android-Based Safety Device. ICIAP (2) 2017: 534-544 - [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 - [i2]Naftali Zon, Rana Hanocka, Nahum Kiryati:
Fast and easy blind deblurring using an inverse filter and PROBE. CoRR abs/1702.01315 (2017) - 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 - [i1]Adi Perry, Dor Verbin, Nahum Kiryati:
Crossing the Road Without Traffic Lights: An Android-based Safety Device. CoRR abs/1610.03393 (2016) - 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 - [c49]Rana Hanocka, Nahum Kiryati:
Progressive Blind Deconvolution. CAIP (2) 2015: 313-325 - [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) - [c48]Adi Perry, Nahum Kiryati:
Road-Crossing Assistance by Traffic Flow Analysis. ECCV Workshops (3) 2014: 361-374 - [c47]Gilad Michael, Nahum Kiryati:
Example based demosaicing. ICIP 2014: 1832-1836 - 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
- [j50]Artemy Baxansky, Nahum Kiryati:
Use of a double Fourier series for three-dimensional shape representation. Computing 88(3-4): 173-191 (2010) - [c46]Tali Basha, Yael Moses, Nahum Kiryati:
Multi-view scene flow estimation: A view centered variational approach. CVPR 2010: 1506-1513
2000 – 2009
- 2009
- [j49]Sándor Fazekas, Tomer Amiaz, Dmitry Chetverikov, Nahum Kiryati:
Dynamic Texture Detection Based on Motion Analysis. Int. J. Comput. Vis. 82(1): 48-63 (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) - [j43]Artemy Baxansky, Nahum Kiryati:
Calculating geometric properties of three-dimensional objects from the spherical harmonic representation. Pattern Recognit. 40(2): 756-770 (2007) - [j42]Tomer Amiaz, Eyal Lubetzky, Nahum Kiryati:
Coarse to over-fine optical flow estimation. Pattern Recognit. 40(9): 2496-2503 (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) - [c43]B. Ugur Töreyin, Yigithan Dedeoglu, A. Enis Çetin, Sándor Fazekas, Dmitry Chetverikov, Tomer Amiaz, Nahum Kiryati:
Dynamic texture detection, segmentation and analysis. CIVR 2007: 131-134 - [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 - [c40]Tomer Amiaz, Sándor Fazekas, Dmitry Chetverikov, Nahum Kiryati:
Detecting Regions of Dynamic Texture. SSVM 2007: 848-859 - 2006
- [j40]Tomer Amiaz, Nahum Kiryati:
Piecewise-Smooth Dense Optical Flow via Level Sets. Int. J. Comput. Vis. 68(2): 111-124 (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) - [j38]Tal Darom, Mauro R. Ruggeri, Dietmar Saupe, Nahum Kiryati:
Compression of textured surfaces represented as surfel sets. Signal Process. Image Commun. 21(9): 770-786 (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 - [c36]Mauro R. Ruggeri, Tal Darom, Dietmar Saupe, Nahum Kiryati:
Approximating Geodesics on Point Set Surfaces. PBG@SIGGRAPH 2006: 85-93 - 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 - [c32]Tal Darom, Mauro R. Ruggeri, Dietmar Saupe, Nahum Kiryati:
Processing of textured surfaces represented as surfel sets: representation, compression and geodesic paths. ICIP (1) 2005: 605-608 - [c31]Tomer Amiaz, Nahum Kiryati:
Dense discontinuous optical flow via contour-based segmentation. ICIP (3) 2005: 1264-1267 - [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
- [j36]Itsik Horovitz, Nahum Kiryati:
Depth from gradient fields and control points: bias correction in photometric stereo. Image Vis. Comput. 22(9): 681-694 (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 - 2003
- [j35]Guy Windreich, Nahum Kiryati, Gabriele Lohmann:
Voxel-based surface area estimation: from theory to practice. Pattern Recognit. 36(11): 2531-2541 (2003) - [c25]Guy Windreich, Nahum Kiryati, Gabriele Lohmann:
Surface Area Estimation in Practice. DGCI 2003: 358-367 - [c24]Dorian Weiner, Nahum Kiryati:
Virtual gaze redirection in face images. ICIAP 2003: 76-81 - 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 - [c20]Israel Horovitz, Nahum Kiryati:
Bias Correction in Photometric Stereo using Control Points. VMV 2001: 391-398 - 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) - [j29]Nahum Kiryati:
Introduction: Computer Vision Research at the Technion. Int. J. Comput. Vis. 39(2): 79-80 (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) - [j26]Nahum Kiryati, Heikki Kälviäinen, Satu Alaoutinen:
Randomized or probabilistic Hough transform: unified performance evaluation. Pattern Recognit. Lett. 21(13-14): 1157-1164 (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 - [c16]Roy Shor, Nahum Kiryati:
Towards Segmentation from Multiple Cues: Symmetry and Color. Theoretical Foundations of Computer Vision 2000: 142-152
1990 – 1999
- 1999
- [j25]Eli Horn, Nahum Kiryati:
Toward optimal structured light patterns. Image Vis. Comput. 17(2): 87-97 (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
- [j24]Menashe Soffer, Nahum Kiryati:
Guaranteed Convergence of the Hough Transform. Comput. Vis. Image Underst. 69(2): 119-134 (1998) - [j23]Nahum Kiryati, Yossi Gofman:
Detecting Symmetry in Grey Level Images: The Global Optimization Approach. Int. J. Comput. Vis. 29(1): 29-45 (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) - [j18]Jacob Sheinvald, Nahum Kiryati:
On the magic of SLIDE. Mach. Vis. Appl. 9(5/6): 251-261 (1997) - [j17]Amnon Jonas, Nahum Kiryati:
Digital representation schemes for 3d curves. Pattern Recognit. 30(11): 1803-1816 (1997) - [c10]Eli Horn, Nahum Kiryati:
Toward Optimal Structured Light Patterns. 3DIM 1997: 28-35 - 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) - [c9]Yossi Gofman, Nahum Kiryati:
Detecting symmetry in grey level images: the global optimization approach. ICPR 1996: 889-894 - 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]