Micha Feigin

According to our database, Micha Feigin authored at least 19 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Computing Speed-of-Sound From Ultrasound: User-Agnostic Recovery and a New Benchmark.

Micha Feigin, Daniel Freedman, Brian W. Anthony

IEEE Trans. Biomed. Eng., April, 2024

2020

A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound.

Micha Feigin, Daniel Freedman, Brian W. Anthony

IEEE Trans. Biomed. Eng., 2020

Detecting muscle activation using ultrasound speed of sound inversion with deep learning.

Micha Feigin, Manuel Zwecker, Daniel Freedman, Brian W. Anthony

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2016

Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis.

Andrey Kuzmin, Xiang Zhang, Jonathan Fincke, Micha Feigin, Brian W. Anthony, Victor S. Lempitsky

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Statistical consensus matching framework for image registration.

Micha Feigin, Bryan J. Ranger, Brian W. Anthony

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

RFlow: User Interaction Beyond Walls.

Hisham Bedri, Otkrist Gupta, Andrew Temme, Micha Feigin, Gregory L. Charvat, Ramesh Raskar

Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology, 2015

Exploring the Resolution Limit for In-Air Synthetic-Aperture Audio Imaging.

Hisham Bedri, Micha Feigin, Petros T. Boufounos, Ramesh Raskar

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Motion compensation in a tomographic ultrasound imaging system: Toward volumetric scans of a limb for prosthetic socket design.

Bryan J. Ranger, Micha Feigin, Nikita Pestrov, Xiang Zhang, Victor S. Lempitsky, Hugh M. Herr, Brian W. Anthony

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Resolving Multi-path Interference in Time-of-Flight Imaging via Modulation Frequency Diversity and Sparse Regularization.

Ayush Bhandari, Achuta Kadambi, Refael Whyte, Christopher Barsi, Micha Feigin, Adrian A. Dorrington, Ramesh Raskar

CoRR, 2014

Selective visualization of anomalies in fundus images via sparse and low rank decomposition.

Amol Mahurkar, Ameya Joshi, Naren Nallapareddy, Pradyumna Reddy, Micha Feigin, Achuta Kadambi, Ramesh Raskar

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

Seeing around corners with a mobile phone?: synthetic aperture audio imaging.

Hisham Bedri, Micha Feigin, Michael Everett, Ivan Filho, Gregory L. Charvat, Ramesh Raskar

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

2013

Learning Big (Image) Data via Coresets for Dictionaries.

Dan Feldman, Micha Feigin, Nir A. Sochen

J. Math. Imaging Vis., 2013

2011

From High Definition Image to Low Space Optimization.

Micha Feigin, Dan Feldman, Nir A. Sochen

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

2010

Anisotropic Alpha-Kernels and Associated Flows.

Micha Feigin, Nir A. Sochen, Baba C. Vemuri

SIAM J. Imaging Sci., 2010

2009

Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise.

Micha Feigin, Nir A. Sochen

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

2008

Efficient anisotropic α-Kernels decompositions and flows.

Micha Feigin, Nir A. Sochen, Baba C. Vemuri

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Anisotropic <i>alpha</i> -Kernels and Associated Flows.

Micha Feigin, Nir A. Sochen, Baba C. Vemuri

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging.

Sigal Trattner, Micha Feigin, Hayit Greenspan, Nir A. Sochen

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2004

Segmentation and Denoising via an Adaptive Threshold Mumford-Shah-like Functional.

Micha Feigin, Nir A. Sochen

Proceedings of the 17th International Conference on Pattern Recognition, 2004