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20162026
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61 citations · 334 across the 42 of their papers we have counts for

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13 papers · 1 filter

eess.IV2026

Fast Alternating Radial Beamforming for Speed-of-Sound Imaging Based on Apparent Speckle Shifts

Dieter Schweizer, Can Deniz Bezek, Orcun Goksel

Pulse-echo speed-of-sound (SoS) imaging based on minute misalignments between consecutively acquired ultrasound images traditionally relies on images beamformed on Cartesian grids.…

eess.IV2025★ 1 cited

Image-Based Metrics in Ultrasound for Estimation of Global Speed-of-Sound

Roman Denkin, Orcun Goksel

Accurate speed-of-sound (SoS) estimation is crucial for ultrasound image formation, yet conventional systems often rely on an assumed value for imaging. We propose to leverage conv…

eess.IV2023

Learning the Imaging Model of Speed-of-Sound Reconstruction via a Convolutional Formulation

Can Deniz Bezek, Maxim Haas, Richard Rau +1

Speed-of-sound (SoS) is an emerging ultrasound contrast modality, where pulse-echo techniques using conventional transducers offer multiple benefits. For estimating tissue SoS dist…

eess.IV2023★ 1 cited

Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer

Pushpak Pati, Guillaume Jaume, Zeineb Ayadi +4

The segmentation and automatic identification of histological regions of diagnostic interest offer a valuable aid to pathologists. However, segmentation methods are hampered by the…

eess.IV2022★ 2 cited

HDRfeat: A Feature-Rich Network for High Dynamic Range Image Reconstruction

Lingkai Zhu, Fei Zhou, Bozhi Liu +1

A major challenge for high dynamic range (HDR) image reconstruction from multi-exposed low dynamic range (LDR) images, especially with dynamic scenes, is the extraction and merging…

eess.IV2021

Estimating Mean Speed-of-Sound from Sequence-Dependent Geometric Disparities

Xenia Augustin, Lin Zhang, Orcun Goksel

In ultrasound beamforming, focusing time delays are typically computed with a spatially constant speed-of-sound (SoS) assumption. A mismatch between beamforming and true medium SoS…

eess.IV2021★ 1 cited

Motion Estimation for Optical Coherence Elastography Using Signal Phase and Intensity

Hossein Khodadadi, Orcun Goksel, Sabine Kling

Displacement estimation in optical coherence tomography (OCT) imaging is relevant for several potential applications, e.g. for optical coherence elastography (OCE) for corneal biom…

eess.IV2021★ 1 cited

Content-Preserving Unpaired Translation from Simulated to Realistic Ultrasound Images

Devavrat Tomar, Lin Zhang, Tiziano Portenier +1

Interactive simulation of ultrasound imaging greatly facilitates sonography training. Although ray-tracing based methods have shown promising results, obtaining realistic images re…

eess.IV2021

Learning Ultrasound Rendering from Cross-Sectional Model Slices for Simulated Training

Lin Zhang, Tiziano Portenier, Orcun Goksel

Purpose. Given the high level of expertise required for navigation and interpretation of ultrasound images, computational simulations can facilitate the training of such skills in…

eess.IV2020★ 33 cited

Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction

Melanie Bernhardt, Valery Vishnevskiy, Richard Rau +1

Speed-of-sound has been shown as a potential biomarker for breast cancer imaging, successfully differentiating malignant tumors from benign ones. Speed-of-sound images can be recon…

eess.IV2019★ 48 cited

Ultrasound Aberration Correction based on Local Speed-of-Sound Map Estimation

Richard Rau, Dieter Schweizer, Valery Vishnevskiy +1

For beamforming ultrasound (US) signals, typically a spatially constant speed-of-sound (SoS) is assumed to calculate delays. As SoS in tissue may vary relatively largely, this appr…

eess.IV2019

Deep Variational Networks with Exponential Weighting for Learning Computed Tomography

Valery Vishnevskiy, Richard Rau, Orcun Goksel

Tomographic image reconstruction is relevant for many medical imaging modalities including X-ray, ultrasound (US) computed tomography (CT) and photoacoustics, for which the access…

eess.IV2019

SCATGAN for Reconstruction of Ultrasound Scatterers Using Generative Adversarial Networks

Andrawes Al Bahou, Christine Tanner, Orcun Goksel

Computational simulation of ultrasound (US) echography is essential for training sonographers. Realistic simulation of US interaction with microscopic tissue structures is often mo…