Micha Feigin-Almon
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Micha Feigin
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Detecting muscle activation using ultrasound speed of sound inversion with deep learning
3D Ultrasound Imaging of Residual Limbs With Camera-Based Motion Compensation
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound
Image registration in a tomographic ultrasound system: Comparison between camera-tracking and image-based motion compensation
Statistical consensus matching framework for image registration
Resolving Multipath Interference in Kinect: An Inverse Problem Approach
3D optical imagery for motion compensation in a limb ultrasound system
Fast low-cost single element ultrasound reflectivity tomography using angular distribution analysis
Towards ultrasound travel time tomography for quantifying human limb geometry and material properties
Exploring the Resolution Limit for In-Air Synthetic-Aperture Audio Imaging
Time-of-Flight Microwave Camera
Motion compensation in a tomographic ultrasound imaging system: Toward volumetric scans of a limb for prosthetic socket design
Modeling “wiggling” as a multi-path interference problem in AMCW ToF imaging
RFlow: User Interaction Beyond Walls
Resolving multipath interference in Kinect: An inverse problem approach
Pose estimation using time-resolved inversion of diffuse light
Image formation of thick three-dimensional objects in differential-interference-contrast microscopy
Resolving multipath interference in time-of-flight imaging via modulation frequency diversity and sparse regularization
Seeing around corners with a mobile phone?: synthetic aperture audio imaging
Selective visualization of anomalies in fundus images via sparse and low rank decomposition
Learning Big (Image) Data via Coresets for Dictionaries
Computational Methods in Image Analysis
From High Definition Image to Low Space Optimization
Validity criterion for the Born approximation convergence in microscopy imaging: reply to comment
Anisotropic α-Kernels and Associated Flows
Validity criterion for the Born approximation convergence in microscopy imaging
Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise
Efficient anisotropic $α$-Kernels decompositions and flows
A numerical analysis of the Born approximation for image formation modeling of differential interference contrast microscopy for human embryos
Anisotropic $α$-Kernels and Associated Flows
Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging
The Born approximation for round and cubical objects in DIC microscopy imaging
Segmentation and Classification of FISH Images for the Analysis of Synchronization of DNA Replication in Blood Cells
Segmentation and denoising via an adaptive threshold mumford-shah-like functional
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