386 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Technical University of MunichDE10 papers
- Helmholtz MunichDE8 papers
- TUM KlinikumDE3 papers
- University of ZurichCH2 papers
- Zhejiang UniversityCN2 papers
- Alibaba DAMO Academy (China)CN1 paper
- Alibaba Group (China)CN1 paper
- Bristol Robotics LaboratoryGB1 paper
- Brno University of TechnologyCZ1 paper
- Center for NanoScienceDE1 paper
- Chinese Academy of SciencesCN1 paper
- East China Normal UniversityCN1 paper
12 papers
Model-based temporal unmixing towards quantitative photo-switching optoacoustic tomography
Yan Liu, Jonathan Chuah, Yishu Huang +3
Optoacoustic (OA) imaging combined with reversibly photoswitchable proteins has emerged as a promising technology for the high-sensitivity and multiplexed imaging of cells in live…
Robot-Assisted Deep Venous Thrombosis Ultrasound Examination using Virtual Fixture
Dianye Huang, Chenguang Yang, Mingchuan Zhou +3
Deep Venous Thrombosis (DVT) is a common vascular disease with blood clots inside deep veins, which may block blood flow or even cause a life-threatening pulmonary embolism. A typi…
First spatio-spectral Bayesian imaging of SN1006 in X-ray
Margret Westerkamp, Vincent Eberle, Matteo Guardiani +6
Supernovae are an important source of energy in the interstellar medium. Young remnants of supernovae have a peak emission in the X-ray region, making them interesting objects for…
Carotid artery wall segmentation in ultrasound image sequences using a deep convolutional neural network
Nolann Lainé, Guillaume Zahnd, Herv é Liebgott +1
The objective of this study is the segmentation of the intima-media complex of the common carotid artery, on longitudinal ultrasound images, to measure its thickness. We propose a…
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
Stefan Gerl, Johannes C. Paetzold, Hailong He +7
Raster-scan optoacoustic mesoscopy (RSOM) is a powerful, non-invasive optical imaging technique for functional, anatomical, and molecular skin and tissue analysis. However, both th…
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Anjany Sekuboyina, Malek E. Husseini, Amirhossein Bayat +66
Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit cl…
Acoustic scattering mediated single detector optoacoustic tomography
Xose Luis Dean-Ben, Ali Ozbek, Hernan Lopez-Schier +1
Optoacoustic image formation is conventionally based upon ultrasound time-of-flight readings from multiple detection positions. Herein, we exploit acoustic scattering to physically…
Sub-micron silicon-on-insulator resonator for ultrasound detection
Rami Shnaiderman, Georg Wissmeyer, Héctor Estrada +4
Point-like broadband ultrasound detection can significantly increase the resolution of ultrasonography and optoacoustic (photoacoustic) imaging, yet current ultrasound detectors ca…
Maximum entropy based non-negative optoacoustic tomographic image reconstruction
Jaya Prakash, Subhamoy Mandal, Daniel Razansky +1
Objective:Optoacoustic (photoacoustic) tomography is aimed at reconstructing maps of the initial pressure rise induced by the absorption of light pulses in tissue. In practice, due…
Prediction and near-field observation of skull-guided acoustic waves
Héctor Estrada, Johannes Rebling, Daniel Razansky
Ultrasound waves propagating in water or soft biological tissue are strongly reflected when encountering the skull, which limits the use of ultrasound-based techniques in transcran…
Eigenspectra optoacoustic tomography achieves quantitative blood oxygenation imaging deep in tissues
Stratis Tzoumas, Antonio Nunes, Ivan Olefir +6
Light propagating in tissue attains a spectrum that varies with location due to wavelength-dependent fluence attenuation by tissue optical properties, an effect that causes spectra…
Visual Quality Enhancement in Optoacoustic Tomography using Active Contour Segmentation Priors
Subhamoy Mandal, Xosé Luís Deán-Ben, Daniel Razansky
Segmentation of biomedical images is essential for studying and characterizing anatomical structures, detection and evaluation of pathological tissues. Segmentation has been furthe…