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Journal Articles
- 2022
[j16]Hannah Ornstein, Dan Adam:
Classification of Echocardiogram View using A Convolutional Neural Network. Artif. Intell. Res. 11(1): 1- (2022)- 2017
- [j15]Hanan Khamis, Grigoriy Zurakhov, Vered Azar, Adi Raz, Zvi Friedman, Dan Adam:
Automatic apical view classification of echocardiograms using a discriminative learning dictionary. Medical Image Anal. 36: 15-21 (2017) - [j14]Avinoam David Bar-Zion, Charles Tremblay-Darveau, Oren Solomon, Dan Adam, Yonina C. Eldar:
Fast Vascular Ultrasound Imaging With Enhanced Spatial Resolution and Background Rejection. IEEE Trans. Medical Imaging 36(1): 169-180 (2017) - [j13]Charles Tremblay-Darveau
, Avinoam David Bar-Zion, Ross Williams, Paul S. Sheeran, Laurent Milot, Thanasis Loupas, Dan Adam, Matthew Bruce, Peter N. Burns:
Improved Contrast-Enhanced Power Doppler Using a Coherence-Based Estimator. IEEE Trans. Medical Imaging 36(9): 1901-1911 (2017) - 2016
- [j12]Tamir Bendory, Avinoam David Bar-Zion, Dan Adam, Shai Dekel, Arie Feuer:
Stable Support Recovery of Stream of Pulses With Application to Ultrasound Imaging. IEEE Trans. Signal Process. 64(14): 3750-3759 (2016) - 2015
- [j11]Avinoam David Bar-Zion, Charles Tremblay-Darveau, Melissa Yin, Dan Adam, F. Stuart Foster:
Denoising of Contrast-Enhanced Ultrasound Cine Sequences Based on a Multiplicative Model. IEEE Trans. Biomed. Eng. 62(8): 1969-1980 (2015) - 2013
- [j10]Yossi Tsadok, Yael Petrank, Sebastian Sarvari, Thor Edvardsen, Dan Adam:
Automatic segmentation of cardiac MRI cines validated for long axis views. Comput. Medical Imaging Graph. 37(7-8): 500-511 (2013) - 2011
- [j9]Noa Bachner-Hinenzon, Offir Ertracht, Michael Lysiansky, Ofer Binah, Dan Adam:
Layer-specific assessment of left ventricular function by utilizing wavelet de-noising: a validation study. Medical Biol. Eng. Comput. 49(1): 3-13 (2011) - 2008
- [j8]Dan Rappaport, Eugene Konyukhov, Dan Adam, Amir Landesberg, Peter Lysyansky:
In vivo validation of a novel method for regional myocardial wall motion analysis based on echocardiographic tissue tracking. Medical Biol. Eng. Comput. 46(2): 131-137 (2008) - 2005
- [j7]Oleg V. Michailovich, Dan Adam:
A novel approach to the 2-D blind deconvolution problem in medical ultrasound. IEEE Trans. Medical Imaging 24(1): 86-104 (2005) - 2004
- [j6]Oleg V. Michailovich, Dan Adam:
Phase unwrapping for 2-D blind deconvolution of ultrasound images. IEEE Trans. Medical Imaging 23(1): 7-25 (2004) - 2003
- [j5]Oleg V. Michailovich, Dan Adam:
Robust Estimation of Ultrasound Pulses Using Outlier-Resistant De-Noising. IEEE Trans. Medical Imaging 22(3): 368-381 (2003) - 2002
- [j4]Dan Adam, Oleg V. Michailovich:
Blind deconvolution of ultrasound sequences using nonparametric local polynomial estimates of the pulse. IEEE Trans. Biomed. Eng. 49(2): 118-131 (2002) - [j3]Oleg V. Michailovich, Dan Adam:
A High-Resolution Technique for Ultrasound Harmonic Imaging Using Sparse Representation in Gabor Frames. IEEE Trans. Medical Imaging 21(11): 1490-1503 (2002) - 2001
- [j2]R. Ravhon, Dan Adam, L. Zelmanovitch:
Validation of Utrasonic Image Boundary Recognition in Abdominal Aortic Aneurysm. IEEE Trans. Medical Imaging 20(8): 751-763 (2001) - 1991
- [j1]Ilia Vitsnudel, Dan Adam:
Level-crossing approach to the compression of body surface potential maps. J. Vis. Commun. Image Represent. 2(2): 188-198 (1991)
Conference and Workshop Papers
- 2018
- [c6]Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) 2018: 126-134 - [c5]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI 2018: 147-155 - 2013
- [c4]Assaf Hoogi, Grigoriy Zurakhov, Dan Adam:
Evaluation of a 3D technique for quantifying neovascularization within plaques imaged by contrast enhanced ultrasound. EMBC 2013: 1124-1127 - 2006
- [c3]Yael Erez, Yoav Y. Schechner, Dan Adam:
Ultrasound Image Denoising by Spatially Varying Frequency Compounding. DAGM-Symposium 2006: 1-10 - [c2]Pavlina D. Konstantinova, Dan Adam, Donka S. Angelova, Vera P. Behar:
Contour Determination in Ultrasound Medical Images Using Interacting Multiple Model Probabilistic Data Association Filter. Numerical Methods and Applications 2006: 628-636 - 2002
- [c1]Oleg V. Michailovich, Dan Adam:
Blind deconvolution of ultrasound images using partial spectral information and sparsity constraints. ISBI 2002: 1055-1058
Informal and Other Publications
- 2018
- [i4]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini:
High quality ultrasonic multi-line transmission through deep learning. CoRR abs/1808.07819 (2018) - [i3]Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim:
High frame-rate cardiac ultrasound imaging with deep learning. CoRR abs/1808.07823 (2018) - 2015
- [i2]Tamir Bendory, Avinoam David Bar-Zion, Dan Adam, Shai Dekel, Arie Feuer:
Stable Support Recovery of Stream of Pulses with Application to Ultrasound Imaging. CoRR abs/1507.07256 (2015) - [i1]Yael Petrank, Nahum Smirin, Yossi Tsadok, Zvi Friedman, Peter Lysiansky, Dan Adam:
Using Anatomical Markers for Left Ventricular Segmentation of Long Axis Ultrasound Images. CoRR abs/1510.03250 (2015)
Coauthor Index
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