Selected Publications
Anisotropic neural deblurring for MRI acceleration
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.
Detecting Cocircular Subsets of a Spherical Set of Points
B. Ibrahim and N. Kiryati, Technical Report, September 2021.
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.
Road-Crossing Assistance by Traffic Flow Analysis
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.