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Alex M Bronstein

Showing results (1-10 of 13) with videos related to

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IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 4, 2018
DeepISP: Towards Learning an End-to-End Image Processing PipelineEli Schwartz, Raja Giryes, Alex M Bronstein
Computational and Structural Biotechnology Journal|August 8, 2025
Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignmentSanketh Vedula, Alex M Bronstein, Ailie Marx
Nature Communications|May 20, 2022
Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codonAviv A Rosenberg, Ailie Marx, Alex M Bronstein
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 25, 2018
Class-Aware Fully-Convolutional Gaussian and Poisson DenoisingTal Remez, Or Litany, Raja Giryes, et al.
Journal of Biomechanical Engineering|June 9, 2025
Inferring Fine Finger Motions for Prosthetic Control: An Ultrasound-Based Approach to Real-Time Estimation of Finger KinematicsDean Zadok, Oren Salzman, Alon Wolf, et al.
The Journal of Organic Chemistry|January 25, 2023
Interpretable Deep-Learning Unveils Structure-Property Relationships in Polybenzenoid HydrocarbonsTomer Weiss, Alexandra Wahab, Alex M Bronstein, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 25, 2023
An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural unitsAviv A Rosenberg, Nitsan Yehishalom, Ailie Marx, et al.
Scientific Reports|December 20, 2022
Machine learning approaches demonstrate that protein structures carry information about their genetic codingLinor Ackerman-Schraier, Aviv A Rosenberg, Ailie Marx, et al.
The Journal of Chemical Physics|April 8, 2025
How local is "local"? Deep learning reveals locality of the induced magnetic field of polycyclic aromatic hydrocarbonsYair Davidson, Aviad Philipp, Sabyasachi Chakraborty, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 8, 2021
Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysisYonatan Elul, Aviv A Rosenberg, Assaf Schuster, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 4, 2018
DeepISP: Towards Learning an End-to-End Image Processing PipelineEli Schwartz, Raja Giryes, Alex M Bronstein
Computational and Structural Biotechnology Journal|August 8, 2025
Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignmentSanketh Vedula, Alex M Bronstein, Ailie Marx
Nature Communications|May 20, 2022
Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codonAviv A Rosenberg, Ailie Marx, Alex M Bronstein
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 25, 2018
Class-Aware Fully-Convolutional Gaussian and Poisson DenoisingTal Remez, Or Litany, Raja Giryes, et al.
Journal of Biomechanical Engineering|June 9, 2025
Inferring Fine Finger Motions for Prosthetic Control: An Ultrasound-Based Approach to Real-Time Estimation of Finger KinematicsDean Zadok, Oren Salzman, Alon Wolf, et al.
The Journal of Organic Chemistry|January 25, 2023
Interpretable Deep-Learning Unveils Structure-Property Relationships in Polybenzenoid HydrocarbonsTomer Weiss, Alexandra Wahab, Alex M Bronstein, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 25, 2023
An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural unitsAviv A Rosenberg, Nitsan Yehishalom, Ailie Marx, et al.
Scientific Reports|December 20, 2022
Machine learning approaches demonstrate that protein structures carry information about their genetic codingLinor Ackerman-Schraier, Aviv A Rosenberg, Ailie Marx, et al.
The Journal of Chemical Physics|April 8, 2025
How local is "local"? Deep learning reveals locality of the induced magnetic field of polycyclic aromatic hydrocarbonsYair Davidson, Aviad Philipp, Sabyasachi Chakraborty, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 8, 2021
Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysisYonatan Elul, Aviv A Rosenberg, Assaf Schuster, et al.
Pageof 2