Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platforms. - Roi Ronen; Yoav Y. Schechner; Eshkol Eytan (CoRR, 2020)

3D Scattering Tomography by Deep Learning with Architecture Tailored to Cloud Fields. - Yael Sde-Chen; Yoav Y. Schechner; Vadim Holodovsky; Eshkol Eytan (CoRR, 2020)

4D Cloud Scattering Tomography. - Roi Ronen; Yoav Y. Schechner; Eshkol Eytan (ICCV, 2021)

3DeepCT: Learning Volumetric Scattering Tomography of Clouds. - Yael Sde-Chen; Yoav Y. Schechner; Vadim Holodovsky; Eshkol Eytan (ICCV, 2021)

Settings for Spaceborne 3-D Scattering Tomography of Liquid-Phase Clouds by the CloudCT Mission. - Masada Tzabari; Vadim Holodovsky; Omer Shubi; Eshkol Eytan; Ilan Koren; Yoav Y. Schechner (IEEE Trans. Geosci. Remote. Sens., 2022)

Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis. - Roi Ronen; Ilan Koren; Aviad Levis; Eshkol Eytan; Vadim Holodovsky; Yoav Y. Schechner (CoRR, 2024)