ANNOUNCEMENTS

2 May 2026:

A preliminary program is now defined.
Please register @ CEEUS-2026 Registration, as the deadline for registration is approaching (1 JUN 2026).

Program Overview (*PRELIMINARY*)

For detailed information on the program, please see the tracks tabs.

PLENARY SESSIONS

Every morning (Mon, Tue, Wed) will start with a plenary session, featuring keynote speakers. Please see the list of presentations below.

MON (22 JUN 2026)

OPENING & PLENARY SESSION [9:00–10:40]

Chairs: Marcin Lewandowski, Beata Brzozowska

9:00 - 9:20 Welcome and opening remarks.
We would like to welcome all participants to the 1st IEEE Central and Eastern European Ultrasonics Symposium (CEEUS-2026). We are excited to bring together researchers, practitioners, and industry experts from across the region to share their latest findings and innovations in the field of ultrasonics. This symposium is a unique opportunity for networking, collaboration, and knowledge exchange, and we look forward to a productive and inspiring event.
9:20 - 10:00 High-Frame-Rate Ultrasound Imaging in the Deep Learning Era
Dr. Alfred C. H. Yu — Professor, Associate Vice-President (Partnerships, Entrepreneurship, and Commercialization) @ University of Waterloo, LITMUS, Canada.
10:00 - 10:40 Wearable ultrasound technology
Prof. Sheng Xu @ Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University, USA.

TUE (23 JUN 2026)

PLENARY SESSION [9:00–11:20]

Chairs: Moritz Herzog, Christoph Leitner

9:00 - 9:45 When Sound Becomes Medicine: Biomedical Ultrasound as the Interdisciplinary Science
Dr. Peter A. Lewin @ School of Biomedical Engineering, Drexel University, Philadelphia, USA.
9:45 - 10:30 Open-source wearable ultrasound platforms: a rocky path from lab prototype to public knowledge.
Dr. Sergei Vostrikov @ Rheonics, Switzerland.
10:30 - 11:15 New Adventures in CEUS using Sub-micron Bubbles
prof. Agata Exner – Henry Willson Payne Professor & Vice Chair for Basic Research, Department of Radiology Professor, Department of Biomedical Engineering Co-Director, Medical Scientist Training Program Case Western Reserve University / University Hospitals of Cleveland, Ohio, USA.

WED (24 JUN 2026)

PLENARY SESSION [9:00–11:20]

Chairs: Ewelina Knapska, Piotr Karwat

9:00 - 9:45 Designing ultrasound systems for brain research across different spatial scales
Mark E. Schafer, PhD, FAIUM, FASA, FAIMBE @ Rockefeller Neuroscience Institute, West Virginia University, USA.
9:45 - 10:30 Miniaturized and power-efficient focused ultrasound microsystems for wearable and implantable ultrasound neuromodulation.
Dr Tiago L. Costa @ Delft University of Technology, Delft, Netherlands.
10:30 - 11:15 New Frontiers in AI-driven Ultrasound Tissue Characterization.
Prof. Ahmed El Kaffas @ University of California San Diego, USA.

Invited / Keynote Speakers

We are happy and proud to have a distinguished list of invited and keynote speakers.
Peter Lewin Dr. Peter A. Lewin @ School of Biomedical Engineering, Drexel University, Philadelphia, USA.

TITLE: When Sound Becomes Medicine: Biomedical Ultrasound as the Interdisciplinary Science
The purpose of this talk is to introduce the breadth of multidisciplinary development that enabled marvelous advances in the field of biomedical ultrasound. Over the past century this field has evolved into one of the most profoundly interdisciplinary domains in modern science and medicine. That was achieved by a close collaboration between the scholars working on the intersection of biology, chemistry, physics, engineering, and clinical practice. The talk will attempt to demonstrate how interdisciplinary background of ultrasound researchers led to the unprecedented rise of ultrasound from a primarily diagnostic modality into a versatile platform for precision imaging, targeted therapy, and neuromodulation. Selected examples will highlight the transformation of diagnostic ultrasound into a plethora of therapeutic treatments. High-frequency (15 MHz+) ultrasound, elastography, and contrast-enhanced techniques now enable real-time visualization of tissue architecture, perfusion, and mechanobiological changes with exceptional submillimeter resolution. In parallel, therapeutic ultrasound has entered a new era defined by noninvasive, cell-specific interventions. Low-intensity (<1W/cm2) focused ultrasound (LIFU) and ultrasound-mediated drug delivery are emerging as transformative tools in neuroengineering and the treatment of the neuropsychiatric disorders. By modulating neural activity without surgery, ultrasound offers promising avenues for managing Parkinson’s disease, Alzheimer’s pathology, chronic pain, and addiction. Presentation of the comprehensive chart of applications will deliver the audience coherent and lucid view of the opportunities to work with the ultrasound technology in academic, industrial and clinical environment.
Alfred Yu Dr. Alfred C. H. Yu — Professor, Associate Vice-President (Partnerships, Entrepreneurship, and Commercialization) @ University of Waterloo, LITMUS, Canada.

TITLE: High-Frame-Rate Ultrasound Imaging in the Deep Learning Era
Ultrasound is undoubtedly a popular medical imaging modality and is becoming known for its high-frame-rate imaging capabilities. However, high-frame-rate ultrasound has yet to flourish in point-of-care applications due to the lack of suitable portable hardware, and its ability to offer time-resolved flow visualization is hampered by Doppler aliasing artifacts. Can we take advantage of deep learning to overcome bottlenecks in high-frame-rate system design? Can we design neural networks to resolve Doppler aliasing artifacts in real time? This seminar will introduce our laboratory’s quest to learn deep and learn smart about ultrasound imaging systems to make high-frame-rate ultrasound viable for portable use and flow estimation. We will demonstrate how deep learning solutions can be devised to resolve data transfer bottlenecks in ultrasound systems and, in turn, enable robust generation of high-frame-rate ultrasound images with data acquired from few array channels. We will also show how deep learning has enabled the design of advanced Doppler flow imaging platforms with lucid flow visualization performance. Related algorithms, real-time engineering efforts, and clinical applications will be presented throughout the presentation.
Mark Schafer Mark E. Schafer, PhD, FAIUM, FASA, FAIMBE @ Rockefeller Neuroscience Institute, West Virginia University, USA

TITLE: Designing ultrasound systems for brain research across different spatial scales
Ultrasound is being used in clinical studies to treat such neurological issues as addiction, anxiety, depression and even coma, and to facilitate the uptake of drugs for Alzheimer’s. However, there are still fundamental questions regarding ultrasound interaction with neural tissues. This talk describes the design of ultrasound exposure systems applicable to a wide range of experimental situations, from fruit flies (Drosophila melanogaster), through rodents, and to humans, representing six orders of magnitude in brain tissue volume. First, the design details of a sub-millimeter 100kHz exposure source for stimulation of fruit fly neurons will be presented. Here, the primary challenge was creating a source that would fit into a 300μm aperture. Moving up in scale, transducers in the low megahertz range were designed to expose select portions of a rodent brain, leaving nearby areas unexposed to serve as a control. Finally, systems for clinical (human) use have completely different design requirements. Clinical data show positive results for several neurological conditions, most remarkably for the treatment of addiction. In summary, ultrasound transducer technology can encompass a wide range of experimental requirements, supporting new areas of research and discovery in brain science, and new treatment options for patients.
Sergei Vostrikov Dr. Sergei Vostrikov @ Rheonics, PhD at ETH Zürich

TITLE: Open-source wearable ultrasound platforms: a rocky path from lab prototype to public knowledge
The idea of fully open-source wearable hardware has sparked growing interest in the ultrasound community in recent years, promising transparency, flexibility, and full control over system design, all of which are essential for research. Yet despite this enthusiasm, turning a research prototype into a useful open-source resource remains a complex task. What practical challenges arise when developing and sharing wearable-ultrasound designs? Why should wearable ultrasound be open source in the first place? And what defines a good and sustainable open-source project? This talk is structured around these questions. It reflects on the practical realities of open-source development in wearable ultrasound, outlines the current state of the field, and discusses future directions.
Sheng Xu Prof. Sheng Xu @ Department of Anesthesiology, Perioperative and Pain Medicine at Stanford University, USA.

TITLE: Wearable ultrasound technology
The use of wearable electronic devices that can acquire vital signs from the human body noninvasively and continuously is a significant trend for healthcare. The combination of materials design and advanced microfabrication techniques enables the integration of various components and devices onto a wearable platform, resulting in functional systems with minimal limitations on the human body. Physiological signals from deep tissues are particularly valuable as they have a stronger and faster correlation with the internal events within the body compared to signals obtained from the surface of the skin. In this presentation, I will demonstrate a soft ultrasonic technology that can noninvasively and continuously acquire dynamic information about deep tissues and central organs. I will also showcase examples of this technology's use in recording blood pressure and flow waveforms in central vessels, monitoring cardiac chamber activities, and measuring core body temperatures. The soft ultrasonic technology presented represents a platform with vast potential for applications in consumer electronics, defense medicine, and clinical practices.
Tiago Costa Dr Tiago L. Costa @ Delft University of Technology, Delft, Netherlands.

TITLE: Miniaturized and power-efficient focused ultrasound microsystems for wearable and implantable ultrasound neuromodulation.
Transcranial ultrasound stimulation is emerging as a promising modality for non-invasive neuromodulation, with the ability to reach deep brain targets with a spatial selectivity that is difficult to achieve with other techniques. More recently, there has been growing interest in moving this therapy beyond the hospital setting, towards wearable and, in the longer term, implantable ultrasound systems for both neuromodulation and brain computer interfaces. This transition, however, requires a substantial reduction in both power consumption and device size. Conventional ultrasound hardware typically relies on bulky driving electronics, a limited number of transducer channels, and assembly approaches that do not scale well to compact high-density arrays. In this talk, I will present our work on miniaturized phased-array technologies for wearable and implantable ultrasound neuromodulation, with particular emphasis on electronic circuit and microfabrication strategies that improve power efficiency while enabling scalable integration. Our approach brings semiconductor and advanced packaging technologies into the ultrasound domain, combining the co-design of electronic drivers, array architectures, and microfabricated acoustic interfaces. On the electronics side, I will discuss methods to improve the efficiency of integrated multi-channel stimulators. On the device side, I will describe microfabrication routes that enable dense integration of piezoelectric transducers with electronics with minimal loss in acoustic performance. Together, these developments aim to establish a technological path towards focused ultrasound neuromodulation devices suitable for future wearable and implantable systems.
Mathias Kersemans Prof. Mathias Kersemans @ Ghent University

TITLE: Ultrasound Meets Composites: Imaging Damage, Structure and Stiffness
Ultrasonic inspection remains the gold standard for non-destructive evaluation of fiber-reinforced polymers in the aerospace industry. However, the full potential of ultrasound for characterizing these complex materials is still far from fully realized. In this talk, we present recent advances in ultrasonic inspection of fiber-reinforced polymers, highlighting how ultrasound data can be leveraged to enable novel imaging modalities. Specifically, we demonstrate:
(1) Damage imaging, using statistical time–energy analysis to resolve complex and distributed defects;
(2) Structural imaging, employing a tomographic approach to reconstruct the three-dimensional multilayered fiber architecture;
(3) Functional imaging, based on inverse methods to identify the anisotropic viscoelastic stiffness tensor.
For each imaging modality, the underlying principles are briefly introduced and supported by experimental demonstrations, illustrating the potential of ultrasound as a comprehensive tool for advanced material characterization.
Hanuš Seiner prof. Hanuš Seiner @ Institute of Thermomechanics, Czech Academy of Sciences

TITLE: Studying Crystal Acoustics Using Lasers — Recent Progress
Laser-ultrasonic (LU) methods are experimental techniques utilizing laser beams for generation and detection of ultrasonic waves and vibrations. These methods, thus, enable characterization of mechanical properties of solids without mechanically touching them. During the past two decades, several unique LU experimental arrangements have been developed at the Institute of Thermomechanics, among which LU measurements of anisotropic acoustic properties of single crystals have achieved particular recognition. These approaches allowed us to contribute to developing new alloys for applications ranging from bone implants, over flexible electronics, to space research. The lecture will present two our recent advancements in this direction: reaching Weyl’s asymptotic behavior in resonant ultrasound spectroscopy, and detecting ultra-transient oscillations in transient-grating experiments. Both these advancements have close relations to mathematical foundations of elastodynamics. In the former, we observe statistics of several hundreds of experimentally obtained eigenvalues and eigenvectors of an operator representing a freely vibrating single crystal; in the latter, we obtain a direct visualization of Green’s function for a hyperbolic differential operator representing elastodynamics of a free surface.
Agata Exner prof. Agata Exner – Henry Willson Payne Professor & Vice Chair for Basic Research, Department of Radiology Professor, Department of Biomedical Engineering Co-Director, Medical Scientist Training Program Case Western Reserve University / University Hospitals of Cleveland, Ohio, USA.

TITLE: New Adventures in Contrast-Enhanced Ultrasound Imaging with Submicron Bubbles
Contrast enhanced ultrasound imaging (CEUS) has been a powerful, safe, yet underutilized capability of clinical ultrasound systems for over the past three decades. Currently available microbubble contrast agents have made possible impactful applications ranging from cardiac opacification during echocardiograph to tumor perfusion for lesion detection and therapy response assessment. Yet their activity is limited in scope due to the large bubble size which primarily confines them to the vascular compartment. More recent advancements in and convergence of nanomedicine, molecular imaging, ultrasound hardware and software, and theoretical underpinnings of shelled bubble acoustic response have enabled a slew of new applications in CEUS, this time beyond the vasculature. Specifically, phospholipid-shell stabilized heavy gas-core submicron bubbles (100-600 nm in diameter, also referred to as nanobubbles or ultrafine bubbles) have gained interest as a robust contrast agent for CEUS. Nanobubbles are ~1000x smaller in volume and 3-5 orders of magnitude higher in concentration than existing clinically utilized contrast agents. Due to these unique features, nanobubbles are highly responsive to ultrasound at a broad range of clinically relevant imaging and therapeutic ultrasound frequencies and can be used in applications that may not be well suited for larger bubbles. For example, nanobubbles can be robustly internalized into cells (including cancer cells, and immune cells). This provides an opportunity to visualize cells in vivo in real time with greater penetration depth than optical imaging. Nanobubbles also show unique trafficking and distribution patterns in vivo, especially in tumors and regions of inflammation and have shown strong uptake into the extravascular space. This extravascular and intracellular localization of nanobubbles provides unique advantages including background free, cell-specific imaging by molecular targeting to cancer biomarkers. This presentation will provide an overview of emerging imaging applications of lipid-shelled nanobubbles.
Ahmed El Kaffas Dr. Ahmed El Kaffas – Principal Investigator @ University of California San Diego, California, USA.

TITLE: New Frontiers in AI-driven Ultrasound Tissue Characterization
Ultrasound-based tissue characterization (UTC) through quantitative biomarkers has received increased interest across a variety of clinical applications over the past few years. Many UTC techniques employ raw forms of ultrasound data — most notably beamformed radiofrequency (RF) signals — to measure acoustic tissue properties as quantitative biomarkers. Parameters such as attenuation coefficient, backscatter coefficient, and speed of sound have demonstrated utility in characterizing tissue composition and pathology in a reproducible, operator-independent manner. With the increasing availability of raw ultrasound data from both research and commercial platforms, new opportunities in AI-driven UTC present themselves to maximize tissue-related information content and potentially overcome the inherent statistical variability of traditional UTC methods. Deep learning approaches, in particular, offer the promise of learning complex, high-dimensional representations directly from RF data that may capture pathology-relevant features beyond the reach of classical parametric estimators. This talk aims to cover the key challenges and opportunities in AI-driven UTC, including training data requirements, model interpretability, and regulatory considerations, as well as potential future clinical applications enabled by ultra-portable handheld and wearable ultrasound hardware, which stand to bring quantitative tissue assessment to point-of-care and longitudinal monitoring settings.

Sponsors & Supporters

We would like to thank our sponsors for their support of the conference.
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FUW Logo MUW Logo Nencki Logo
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