• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 90 matches

• 2020
• 
  Gil Shamai, Michael Zibulevsky, Ron Kimmel:
  Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 74-85 (2020)
• 
  Tao Hong, Irad Yavneh, Michael Zibulevsky:
  Solving RED With Weighted Proximal Methods. IEEE Signal Process. Lett. 27: 501-505 (2020)
• 
  Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
  Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP 2020: 8653-8657
• 
  Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev:
  Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. CoRR abs/2008.09149 (2020)
• 2019
• 
  Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
  Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI 2019: 111-119
• 
  Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
  Learning beamforming in ultrasound imaging. MIDL 2019: 493-511
• 
  Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
  Learning Fast Magnetic Resonance Imaging. CoRR abs/1905.09324 (2019)
• 
  Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
  Self-supervised learning of inverse problem solvers in medical imaging. CoRR abs/1905.09325 (2019)
• 
  Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi:
  Texture and Structure Two-view Classification of Images. CoRR abs/1908.09264 (2019)
• 
  Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
  PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR abs/1909.05773 (2019)
• 2018
• 
  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
• 
  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
• 
  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)
• 
  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)
• 
  Tao Hong, Irad Yavneh, Michael Zibulevsky:
  Accelerating Multigrid Optimization via SESOP. CoRR abs/1812.06896 (2018)
• 
  Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
  Learning beamforming in ultrasound imaging. CoRR abs/1812.08043 (2018)
• 2017
• 
  Amir Adler, David Boublil, Michael Zibulevsky:
  Block-based compressed sensing of images via deep learning. MMSP 2017: 1-6
• 
  Dan Elbaz, Michael Zibulevsky:
  End to End Deep Neural Networks Radio Receiver for Speech Signals. CoRR abs/1704.02046 (2017)
• 
  Dan Elbaz, Michael Zibulevsky:
  Perceptual audio loss function for deep learning. CoRR abs/1708.05987 (2017)
• 
  Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
  Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR abs/1710.06304 (2017)
• 2016
• 
  Gregory Vaksman, Michael Zibulevsky, Michael Elad:
  Patch Ordering as a Regularization for Inverse Problems in Image Processing. SIAM J. Imaging Sci. 9(1): 287-319 (2016)
• 
  Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad:
  Trainlets: Dictionary Learning in High Dimensions. IEEE Trans. Signal Process. 64(12): 3180-3193 (2016)
• 
  Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky:
  SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. NIPS 2016: 1534-1542
• 
  Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky:
  A Deep Learning Approach to Block-based Compressed Sensing of Images. CoRR abs/1606.01519 (2016)
• 
  Amir Adler, Michael Elad, Michael Zibulevsky:
  Compressed Learning: A Deep Neural Network Approach. CoRR abs/1610.09615 (2016)
• 
  Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky:
  SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. CoRR abs/1609.00629 (2016)
• 
  Gil Shamai, Michael Zibulevsky, Ron Kimmel:
  Fast Classical Scaling. CoRR abs/1611.07356 (2016)
• 
  Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad:
  Trainlets: Dictionary Learning in High Dimensions. CoRR abs/1602.00212 (2016)
• 
  Gregory Vaksman, Michael Zibulevsky, Michael Elad:
  Patch-Ordering as a Regularization for Inverse Problems in Image Processing. CoRR abs/1602.08510 (2016)
• 2015
• 
  David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky:
  Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. IEEE Trans. Medical Imaging 34(7): 1474-1485 (2015)

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