Selected Publications
Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI
N. Barzilay, I. Nelkenbaum, E. Konen, N. Kiryati and A. Mayer, ECCV 2022 Medical Computer Vision Workshop, October 2022.
Complementary Phase Encoding for Pair-wise Neural Deblurring of Accelerated Brain MRI
G. Hod, M. Green, M. Vasserman, E. Konen, S. Shrot, I. Nelkenbaum, N. Kiryati and A. Mayer, ECCV 2022 Medical Computer Vision Workshop, October 2022.
M. Mayberg, M. Green, M. Vasserman, D. Raichman, E. Belenky, M. Wolf, S. Shrot, N. Kiryati, E. Konen and A. Mayer, International Journal of Computer Assisted Radiology and Surgery, December 2021.
Anisotropic neural deblurring for MRI acceleration
Detecting Cocircular Subsets of a Spherical Set of Points
B. Ibrahim and N. Kiryati, Journal of Imaging, 8(7) 184, July 2022.
Dataset Growth in Medical Image Analysis Research
Y. Landau and N. Kiryati, Journal of Imaging , 7(8) 155, August 2021.
Motion Magnification Analysis of Microscopy Videos of Biological Cells
O. Shabi, S. Natan, A. Kolel, A. Mukherjee, O. Tchaicheeyan, H. Wolfenson, N. Kiryati and A. Lesman, PLoS ONE, 15(11): e0240127, 2020.
Labeling of Multilingual Breast MRI Reports
C.-H. Tsai, N. Kiryati, E. Konen, M. Sklair-Levy and A. Mayer, Labeling of Multilingual Breast MRI Reports, Proc. 5th MICCAI Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS), Lima, Peru, October 2020. LNCS 12446, pp. 233-241, Springer, 2020.
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
G. Habib, N. Kiryati, M. Sklair-Levy, A. Shalmon, O. Halshtok Neiman, R. Faermann Weidenfeld, Y. Yagil, E. Konen and A. Mayer, Proc. MICCAI Workshop on Multimodal Learning for Clinical Decision Support (MICCAI ML-CDS 2020), Lima, Peru, October 2020. LNCS 12445, pp. 125-135, Springer, 2020.
Knee Injury Detection using MRI with Efficiently-Layered Network (ELNet)
C.-H. Tsai, N. Kiryati, E. Konen, I. Eshed and A. Mayer, Proc. Medical Imaging with Deep Learning (MIDL), Montreal, Quebec, Canada, 6-8 July 2020.
[arXiv]
V-net Light - Parameter-Efficient 3-D Convolutional Neural Network for Prostate MRI Segmentation
O. Yaniv, O. Portnoy, A. Talmon, N. Kiryati, E. Konen and A. Mayer, Proc. IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, USA, 3-7 April 2020, pp. 442-445.
Automatic Segmentation of White Matter Tracts Using Multiple Brain MRI Sequences
I. Nelkenbaum, G. Tsarfaty, N. Kiryati, E. Konen and A. Mayer, Proc. IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, USA, 3-7 April 2020, pp. 368-371.
Neural Denoising of Ultra-Low Dose Mammography
M. Green, M. Sklair-Levy, E. Konen, N. Kiryati and A. Mayer, Proc. MICCAI 2nd International Workshop on Machine Learning for Medical Image Reconstruction (MLMIR), Shenzen, China, 17 October 2019, LNCS 11905, pp. 215-225.
Neural Segmentation of Seeding ROIs (sROIs) for Pre-surgical Brain Tractography
I. Avital, I. Nelkenbaum, G. Tsarfaty, E. Konen, N. Kiryati and A. Mayer, IEEE Transactions on Medical Imaging (TMI) Vol. 39, No. 5, pp. 1655-1667, 2019.
Feature Aggregation in Perceptual Loss for Ultra Low-Dose (ULD) CT Denoising
M. Green, E. Marom, N. Kiryati, E. Konen and A. Mayer, Proc. IEEE International Symposium on Biomedical Imaging (ISBI), Venice, Italy, 8-11 April 2019.
Classification of Contrast-Enhanced Spectral Mammography (CESM) Images
S. Perek, N. Kiryati, G. Zimmerman-Moreno, M. Sklair-Levy and A. Mayer, International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 14, pp. 249-257, 2019.
Bodily Property and Deep Learning
N. Kiryati, T. Barsky, O. Gellert and Y. Landau, Hamishpat Law Review Vol. 25 (Yoram Danziger Book), Nevo, 2019.
Learning Real Noise for Ultra-Low Dose Lung CT Denoising
M. Green, E. Marom, E. Konen, N. Kiryati and A. Mayer, Proc. MICCAI 4th International Workshop on Patch-based Techniques in Medical Imaging (PatchMI), Granada, Spain, September, 2018, LNCS 11075, pp. 3-11.
3-D Neural denoising for low-dose Coronary CT Angiography (CCTA)
M. Green, E.M. Marom, E. Konen, N. Kiryati and A. Mayer, Computerized Medical Imaging and Graphics, Vol. 70, pp. 185-191, 2018.
Fully Automatic Detection of Renal Cysts in Abdominal CT Scans
N. Blau, E. Klang, N. Kiryati, M. Amitai, O. Portnoy and A. Mayer, International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 13, pp. 957-966, 2018.
People Detection in Top-View Fisheye Imaging
O. Krams and N. Kiryati, Proc. 14th IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS 2017),, Lecce, Italy, 29 August - 1 September, 2017.
Crossing the Road Without Traffic Lights: An Android-based Safety Device
A. Perry, D. Verbin and N. Kiryati, Proc. 19th Int. Conf. on Image Analysis and Processing (ICIAP 2017), Catania, Italy, 2017, part II: LNCS 10485, pp. 534-544.
A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising
M. Green, E. Marom, E. Konen, N. Kiryati and A. Mayer, Proc. MICCAI 3rd International Workshop on Patch-based Techniques in Medical Imaging (PatchMI), Quebec City, Quebeq, Canada, September, 2017, LNCS 10530, pp. 102-110.
Patient specific image denoising for ultra-low dose CT-guided lung biopsies
M. Green, E. Marom, E. Konen, N. Kiryati and A. Mayer, International Journal of Computer Assisted Radiology and Surgery (IJCARS), Vol. 12, pp. 2145-2155, 2017.
Blind Space-Variant Single-Image Restoration of Defocus Blur
L. Bar, N. Sochen and N. Kiryati, Proc. 6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017), Kolding, Denmark, June 2017, LNCS 10302, pp. 109-120
Fast and Easy Blind Deblurring Using an Inverse Filter and PROBE
N. Zon, R. Hanocka and N. Kiryati, Proc. 17th International Conference on Computer Analysis of Images and Patterns (CAIP 2017), Ystad, Sweden, August, 2017, part II: LNCS 10425, pp. 269-281.
Optimization of Two-Compartment-Exchange-Model Analysis for Dynamic Contrast-Enhanced MRI Incorporating Bolus Arrival Time
G. Nadav, G. Liberman, M. Artzi, N. Kiryati and D. Ben Bashat, Journal of Magnetic Resonance Imaging, Vol. 45, pp. 237-249, 2017.
Computerized Assessment of Body Image in Anorexia Nervosa and Bulimia Nervosa: Comparison with Standardized Body Image Assessment Tool
A. Caspi, R. Amiaz, N. Davidson, E. Czerniak, E. Gur, N. Kiryati, D. Harari, M. Furst and D. Stein, Archives of Women's Mental Health, Vol. 20, pp. 139-147, 2017.
An Alternating Direction Method for Optical Flow Estimation with Lp Regularization
N. Zon and N. Kiryati, Proc. IEEE International Conference on the Science of Electrical Engineering (ICSEE), Eilat, Israel, November 2016.
Efficient Low-Dose CT Denoising by Locally-Consistent Non-Local Means (LC-NLM)
M. Green, E. Marom, N. Kiryati, E. Konen and A. Mayer, Proc. 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2016), Athens, Greece, October 2016, LNCS 9902, pp. 423-431.
Progressive Blind Deconvolution
R. Hanocka and N. Kiryati, Proc. 16th International Conference on Computer Analysis of Images and Patterns (CAIP 2015), Valletta, Malta, September 2015, LNCS 9257, pp. 313-325.
Adaptive Shape from Focus based on High Order Derivatives
Y. Frommer, R. Ben-Ari and N. Kiryati, Proc. 26th British Machine Vision Conference (BMVC 2015) Swansea, United Kingdom, 7-10 Septemeber, 2015.
Progress in the Restoration of Image Sequences Degraded by Atmospheric Turbulence
R. Gal, N. Kiryati and N. Sochen, Pattern Recognition Letters, 2014.
Example Based Demosaicing
G. Michael and N. Kiryati, Example Based Demosaicing, Proc. ICIP 2014, Paris, France, November 27-30, 2014.
Road-Crossing Assistance by Traffic Flow Analysis
A. Perry and N. Kiryati, Proc. 2nd Workshop on Assistive Computer Vision and Robotics (ACVR 2014), Zurich, Switzerland, 12 September, 2014.
A novel technique for infant length measurement based on stereoscopic vision
N. Sokolover, M. Philip, L. Sirota, A. Potruch, N. Kiryati, G. Klinger and P. Merlob, Archives of Disease in Childhood, 2014.
Multi-View Scene Flow Estimation: A View Centered Variational Approach
T. Basha, Y. Moses and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 101, pp. 6-21, 2013.
Use of Double Fourier Series for Three-Dimensional Shape Representation
A. Baxansky and N. Kiryati, Computing: Archives for Scientic Computing, Vol. 88, pp. 173-191, 2010.
On Symmetry, Perspectivity and Level-set based Segmentation
T. Riklin-Raviv, N. Sochen and N. Kiryati, IEEE PAMI, Vol. 31, pp. 1458-1471, 2009.
Dynamic Texture Detection based on Motion Analysis
S. Fazekas, T. Amiaz, D. Chetverikov and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 82, pp. 48-63, 2009.
Interactive Level Set Segmentation for Image-guided Therapy
N. Ben-Zadok, T. Riklin-Raviv and N. Kiryati, Proc. IEEE ISBI, pp. 1079-1082, Boston, 2009.
Atlas-based Indexing of Brain Sections via 2D-to-3D Image Registration
S. Gefen, N. Kiryati and J. Nissanov, IEEE Transactions on Biomedical Engineering, Vol. 55, pp. 147-156, 2008.
Shape-based Mutual Segmentation
T. Riklin-Raviv, N. Sochen and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 79, pp. 231-245, 2008.
Real-time Abnormal Motion Detection in Surveillance Video
N. Kiryati, T. Riklin-Raviv, Y. Ivanchenko and S. Rochel, Proc. ICPR, 2008.
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
T. Riklin-Raviv, N. Kiryati and N. Sochen, International Journal of Computer Vision (IJCV), Vol. 72, No. 3, pp. 309-328, 2007.
Calculating Geometric Properties of Three-Dimensional Objects from the Spherical Harmonic Representation
A. Baxansky and N. Kiryati, Pattern Recognition, Vol. 40, No. 2, pp. 756-770, 2007.
Convergence of an Iterative Method for Variational Deconvolution and Impulse Noise Removal
A. Baxansky and N. Kiryati, Pattern Recognition, Vol. 40, No. 2, pp. 756-770, 2007.
Deblurring of Color Images Corrupted by Impulsive Noise
L. Bar, A. Brook, N. Sochen and N. Kiryati, IEEE Transactions on Image Processing, Vol. 16, No. 4, pp. 1101-1111, 2007.
Coarse to Over-fine Optical Flow Estimation
T. Amiaz, E. Lubetzky and N. Kiryati, Pattern Recognition, Vol. 40, No. 9, pp. 2496-2503, 2007.
Shape from Unstructured Light
A. Kushnir and N. Kiryati, Kos Island, Greece, May 2007.
Image Deblurring in the Presence of Impulsive Noise
L. Bar, N. Sochen and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 70, No. 3, pp. 279-298, 2006.
Piecewise-Smooth Dense Optical Flow via Level Sets
T. Amiaz and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 68, No. 2, pp. 111-124, 2006.
Semi-Blind Image Restoration Via Mumford-Shah Regularization
L. Bar, N. Sochen and N. Kiryati, IEEE Transactions on Image Processing, Vol. 15, No. 2, pp. 483-493, 2006.
Segmentation with Level Sets and Symmetry
T. Riklin-Raviv, N. Sochen and N. Kiryati, Proc. CVPR 2006, New York, USA, June 2006.
Mutual Segmentation with Level Sets
T. Riklin-Raviv, N. Sochen and N. Kiryati, Mutual Segmentation with Level Sets, Proc. 5th IEEE Workshop on Perceptual Organization in Computer Vision (POCV), New York, USA, June 2006.
Compression of Textured Surfaces Represented by Surfel Sets
T. Darom, M.R. Ruggeri, D. Saupe and N. Kiryati, Compression of Textured Surfaces Represented by Surfel Sets, Signal Processing: Image Communication, Vol. 21, pp. 770-786, 2006.
Processing of Textured Surfaces Represented as Surfel Sets: Representation, Compression and Geodesic Paths
T. Darom, M.R. Ruggeri, D. Saupe and N. Kiryati, Compression and Geodesic Paths, Proc. ICIP 2005, Genova, Italy, September 2005, Vol. I, pp. 605-608.
Prior-based Segmentation by Projective Registration and Level Sets
T. Riklin-Raviv, N. Sochen and N. Kiryati, Proc. ICCV 2005, Beijing, China, October 2005, Vol. I, pp. 204-211.
Color Image Deblurring with Impulsive Noise
L. Bar, A. Brook, N. Sochen and N. Kiryati, Proc. VLSM 2005, Beijing, China, October 2005, LNCS 3752, pp. 49-60.
Dense Discontinuous Optical Flow via Contour-based Segmentation
T. Amiaz and N. Kiryati, Proc. ICIP 2005, Genova, Italy, September 2005, Vol. III, pp. 1264-1267.
Image Deblurring in the Presence of Salt and Pepper Noise
L. Bar, N. Sochen and N. Kiryati, Proc. Scale Space 2005, Hofgeismar, Germany, April 2005, LNCS 3459, pp. 107-118.
Photometric Stereo under Perspective Projection
A. Tankus and N. Kiryati, Proc. ICCV 2005, Beijing, China, October 2005, Vol. I, pp. 611-616.
The Point Spread Function of Spiral CT
G. Schwarzband and N. Kiryati, Physics in Medicine and Biology, Vol. 50, pp. 5307-5322, 2005.
Unlevel Sets: Geometry and Prior-based Segmentation
T. Riklin-Raviv, N. Kiryati and N. Sochen, UProc. 8th European Conference on Computer Vision (ECCV'2004), Prague, Czech Republic, May 2004, Part IV, LNCS 3024, pp. 50-61.
Depth from Gradient Fields and Control Points: Bias Correction in Photometric Stereo
I. Horovitz and N. Kiryati, Image and Vision Computing, Vol. 22, pp. 681-694, 2004.
Variational Pairing of Image Segmentation and Blind Restoration
L. Bar, N. Sochen and N. Kiryati, Proc. 8th European Conference on Computer Vision (ECCV'2004), Prague, Czech Republic, May 2004, Part II, LNCS 3022, pp. 166-177.
Algorithm for Facial Weight-Change
U. Danino, N. Kiryati,and M. Furst, Proc. 11th IEEE Int. Conf. on Electronics, Circuits and Systems (ICECS2004), Tel Aviv, Israel, 2004, pp. 318-321.
Virtual Gaze Redirection in Face Images
D. Weiner and N. Kiryati, Proc. 12th Int. Conf. on Image Analysis and Processing (ICIAP 2003), Mantova, Italy, 2003, pp. 76-81.
Voxel-based Surface Area Estimation: From Theory to Practice
G. Windreich, N. Kiryati and G. Lohmann, Pattern Recognition, Vol. 36, pp. 2531-2541, 2003.
Texture Mapping Using Surface Flattening via Multidimensional Scaling
G. Zigelman, R. Kimmel and N. Kiryati, IEEE Transactions on Visualization and Computer Graphics, Vol. 8, pp. 198-207, 2002.
Computational Surface Flattening: A Voxel-based Approach
R. Grossmann, N. Kiryati and R. Kimmel, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 24, pp. 433-441, 2002.
MRI Inter-slice Reconstruction Using Super-Resolution
H. Greenspan, G. Oz, N. Kiryati and S. Peled, Magnetic Resonance Imaging, Vol. 20, pp. 437-446, 2002.
Towards Segmentation from Multiple Cues: Symmetry and Color
R. Shor and N. Kiryati, Lecture Notes in Computer Science (LNCS), Vol. 2032, pp. 142-152, Springer, 2001.
A Computer-Based Method for the Assessment of Body-Image Distortions in Anorexia-Nervosa Patients
D. Harari, M. Furst, N. Kiryati, A. Caspi and M. Davidson, IEEE Transactions on Information Technology in Biomedicine, Vol. 5, pp. 311-319, 2001.
Depth from Defocus vs. Stereo: How Different Really are They?
Y.Y. Schechner and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 39, pp. 141-162, 2000.
Separation of Transparent Layers using Focus
Y.Y. Schechner, N. Kiryati and R. Basri, International Journal of Computer Vision (IJCV), Vol. 39, pp. 25-39, 2000.
Polarization and Statistical Analysis of Scenes Containing a Semireflector
Y.Y. Schechner, J. Shamir and N. Kiryati, J. Opt. Soc. Am. A (JOSA-A), Vol. 17 , pp. 276-284, 2000.
Randomized or Probabilistic Hough Transform: Unified Performance Evaluation
N. Kiryati, H. Kalviainen and S. Alaoutinen, Pattern Recognition Letters, Vol. 21, pp. 1157-1164, 2000.
Heteroscedastic Hough Transform (HtHT): An Efficient Method for Robust Line Fitting in the `Errors in the Variables' Problem'
N. Kiryati and A.M. Bruckstein, Computer Vision and Image Understanding (CVIU), Vol. 78, pp. 69-83, 2000.
Comments on: Robust Line Fitting in a Noisy Image by the Method of Moments
N. Kiryati, Bruckstein and H. Mizrahi, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 22, pp. 1340-1341, 2000.
Vision Through Semi-Reflecting Media: Polarization Analysis
Y.Y. Schechner, J. Shamir and N. Kiryati, Optics Letters, Vol. 24, pp. 1088-1090, 1999.
Towards Optimal Structured Light Patterns
E. Horn and N. Kiryati, Image and Vision Computing, Vol. 17, pp. 87-97, 1999.
Range Imaging with Adaptive Color Structured Light
D. Caspi, N. Kiryati and J. Shamir, IEEE PAMI, Vol. 20, pp. 470-480, 1998.
Detecting Symmetry in Grey Level Images: The Global Optimization Approach
Y. Gofman and N. Kiryati, International Journal of Computer Vision (IJCV), Vol. 29, pp. 29-45, 1998.
Guaranteed Convergence of the Hough Transform
M. Soffer and N. Kiryati, Computer Vision and Image Understanding (CVIU), Vol. 69, pp. 119-134, 1998.
Using Multi-Valued Distance Maps for Motion Planning on Surfaces with Moving Obstacles
R. Kimmel, N. Kiryati and A.M. Bruckstein, IEEE Transactions on Robotics and Automation, Vol. 14, pp. 427-436, 1998.
Length Estimation in 3-D Using Cube Quantization
A. Jonas and N. Kiryati, Journal of Mathematical Imaging and Vision, Vol. 8, pp. 215-238, 1998.
Digital Representation Schemes for 3-D Curves
A. Jonas and N. Kiryati, Pattern Recognition, Vol. 30, pp. 1803-1816, 1997.
Analyzing and Synthesizing Images by Evolving Curves with the Osher-Sethian Method
R. Kimmel, N. Kiryati and A.M. Bruckstein, International Journal of Computer Vision (IJCV), Vol. 24, pp. 37-55, 1997.
On the Magic of SLIDE
J. Sheinvald and N. Kiryati, Machine Vision and Applications, Vol. 9, pp. 251-261, 1997.
Deriving Stopping Rules for the Probabilistic Hough Transform by Sequential Analysis
D. Shaked, O. Yaron and N. Kiryati, Computer Vision and Image Understanding (CVIU), Vol. 63, pp. 512-526, 1996.
Sub-pixel Distance Maps and Weighted Distance Transforms
R. Kimmel, N. Kiryati and A.M. Bruckstein, Journal of Mathematical Imaging and Vision, Vol. 6, pp. 223-233, 1996.
Finding Shortest Paths on Surfaces by Fast Global Approximation and Precise Local Refinement
R. Kimmel and N. Kiryati, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 10, pp. 643-656, 1996.
Bit Allocation in Piecewise-Planar Representation of Images
N. Kiryati, A.M. Bruckstein and A. Jonas, Journal of Visual Communication and Image Representation, Vol. 6, pp. 52-58, 1995.
Chain Code Probabilities and Length Estimators for Digitized Three Dimensional Curves
N. Kiryati and O. Kubler, Pattern Recognition, Vol. 28, pp. 361-372, 1995.
Pyramidal Intensity-Ratio Depth Sensor
G. Chazan and N. Kiryati, Department of Electrical Engineering, Technion, Haifa, Israel, October 1995.
Adaptive Termination of Voting in the Probabilistic Circular Hough Transform
A. Yla-Jaaski and N. Kiryati, IEEE PAMI, Vol. 16, pp. 911-915, 1994.
Hough Techniques for Fast Optimization of Linear Constant Velocity Motion in Moving Influence Fields
Y. Pnueli, N. Kiryati and A.M. Bruckstein, Pattern Recognition Letters, Vol. 15, pp. 329-336, 1994.
Estimating Shortest Paths and Minimal Distances on Digitized Three Dimensional Surfaces
N. Kiryati and G. Szekely, Pattern Recognition, Vol. 26, pp. 1623-1637, 1993.
What's in a Set of Points?
N. Kiryati and A.M. Bruckstein, IEEE PAMI, Vol. 14, pp. 496-500, 1992.
A Probabilistic Hough Transform
N. Kiryati, Y. Eldar and A.M. Bruckstein, A Probabilistic Hough Transform, Pattern Recognition, Vol. 24, pp. 303-316, 1991.
Antialiasing the Hough Transform
N. Kiryati and A.M. Bruckstein, CVGIP: Graphical Models and Image Processing, Vol. 53, pp. 213-222, 1991.
On Navigating between Friends and Foes
N. Kiryati and A.M. Bruckstein, IEEE PAMI, Vol. 13, pp. 602-606, 1991.
Digital or Analog Hough Transform?
N. Kiryati, M. Lindenbaum and A.M. Bruckstein, Pattern Recognition Letters, Vol. 12, pp. 291-297, 1991.
Gray Levels Can Improve the Performance of Binary Image Digitizers
N. Kiryati and A.M. Bruckstein, CVGIP: Graphical Models and Image Processing, Vol. 53, pp. 31-39, 1991.
Calculating Geometric Properties from Fourier Representation
N. Kiryati and D. Maydan, Pattern Recognition, Vol. 22, pp. 469-475, 1989.