Score-based diffusion priors for multi-target detection

1 code implementation • 13 Dec 2023 • Alon Zabatani, Shay Kreymer, Tamir Bendory

Multi-target detection (MTD) is the problem of estimating an image from a large, noisy measurement that contains randomly translated and rotated copies of the image.

A stochastic approximate expectation-maximization for structure determination directly from cryo-EM micrographs

1 code implementation • 24 Feb 2023 • Shay Kreymer, Amit Singer, Tamir Bendory

A single-particle cryo-electron microscopy (cryo-EM) measurement, called a micrograph, consists of multiple two-dimensional tomographic projections of a three-dimensional molecular structure at unknown locations, taken under unknown viewing directions.

An approximate expectation-maximization for two-dimensional multi-target detection

1 code implementation • 5 Oct 2021 • Shay Kreymer, Amit Singer, Tamir Bendory

We consider the two-dimensional multi-target detection (MTD) problem of estimating a target image from a noisy measurement that contains multiple copies of the image, each randomly rotated and translated.

Vocal Bursts Valence Prediction

Generalized autocorrelation analysis for multi-target detection

1 code implementation • 24 Sep 2021 • Ye'Ela Shalit, Ran Weber, Asaf Abas, Shay Kreymer, Tamir Bendory

We study the multi-target detection problem of recovering a target signal from a noisy measurement that contains multiple copies of the signal at unknown locations.

Two-dimensional multi-target detection: an autocorrelation analysis approach

1 code implementation • 14 May 2021 • Shay Kreymer, Tamir Bendory

We consider the two-dimensional multi-target detection problem of recovering a target image from a noisy measurement that contains multiple copies of the image, each randomly rotated and translated.

Vocal Bursts Valence Prediction