93 citations · 259 across the 35 of their papers we have counts for
7 papers · 1 filter
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models
Tomer Amit, Shmuel Shichrur, Tal Shaharabany +1
A major challenge in the segmentation of medical images is the large inter- and intra-observer variability in annotations provided by multiple experts. To address this challenge, w…
Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation
Itzik Malkiel, Sangtae Ahn, Valentina Taviani +3
Recent accelerated MRI reconstruction models have used Deep Neural Networks (DNNs) to reconstruct relatively high-quality images from highly undersampled k-space data, enabling muc…
Explainability Guided Multi-Site COVID-19 CT Classification
Ameen Ali, Tal Shaharabany, Lior Wolf
Radiologist examination of chest CT is an effective way for screening COVID-19 cases. In this work, we overcome three challenges in the automation of this process: (i) the limited…
A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans
Michael Rotman, Rafi Brada, Israel Beniaminy +3
Motion artefacts created by patient motion during an MRI scan occur frequently in practice, often rendering the scans clinically unusable and requiring a re-scan. While many method…
Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation
Shir Gur, Lior Wolf, Lior Golgher +1
Recently developed methods for rapid continuous volumetric two-photon microscopy facilitate the observation of neuronal activity in hundreds of individual neurons and changes in bl…
Spectra2pix: Generating Nanostructure Images from Spectra
Itzik Malkiel, Michael Mrejen, Lior Wolf +1
The design of the nanostructures that are used in the field of nano-photonics has remained complex, very often relying on the intuition and expertise of the designer, ultimately li…