Industry Day

ISBI 2024 Industry Day

Αfter a terrific inaugural event at ISBI 2023, the Industry Day is back this year! It will bring outstanding companies in our field to present and discuss projects as well as products relevant to the ISBI community. There will also be a networking lunch where industry and academic researchers can exchange collaboration ideas, share experiences and speak on entrepreneurship and fresh opportunities in the industry. Finally, we will organize again a pitch competition with great prizes! We are looking forward to seeing you there!

Pitch Competition:
Guidelines and submission requirements for the pitch competition can be found at: Pitch Competition Call

Organizers:
Beatriz Paniagua <beatriz.paniagua@kitware.com>
Jon Xue <zhong.xue@ieee.org>
Lilla Zollei <lzollei@mgh.harvard.edu>

Industry Day | Monday 27 May 2024

9:00-10:30 Opening remarks
Putting imaging software in clinicians’ hands: The research to clinical practice pathway
Piotr Slomka, Cedar-Sinai LA
From research code to medical products: A medical device software development
Andinet Enquobahrie, Kitware and Xenophon Papademetris, Yale University
Corsmed: The 10x MRI and the future of healthcare
Christos Xanthis, Corsmed AB
Wavelia microwave breast imaging: opportunities and challenges towards clinical adoption
Angie Fasoula, Wavelia, MVG Industries
10:30-11:00 Coffee break
11:00-12:30 Welcome | Presentation about a winning story: Rubitection
Sanna Gaspard, Rubitection
Pitch Competition
12:30-14:00 Networking lunch
15:30-16:30
“Pharma-meets-imaging”
From designing preclinical imaging prototypes to working with the larger pharmaceutical companies worldwide
George Loudos, BIOEMTECH
Unleashing the power of open innovation: Collaborations with the Greek ecosystem
Thanos Stavropoulos, Pfizer
Bringing the benefits of Generative AI to healthcare through responsible innovation
Ira Ktena, Google DeepMind
16:30-17:00 Coffee break
17:00 -18:00 Panel discussion
A. Madabhushi, V. Papakonstantinou, C. Papadias, A. Amditis,
A. Fasoula, G. Loudos, Ch. Xanthis,
Awards | Closing remarks

Andinet Enquobahrie, Ph.D.

Andinet Enquobahrie, Ph.D., is the senior director of Kitware’s Medical Computing Team located in Carrboro, North Carolina. He has more than two decades of experience as a contributor and leader for health care research and development projects in academic, clinical, and commercial settings. As a subject matter expert, he is responsible for technical contribution and management of image-guided intervention, surgical data science, and computer-aided detection and diagnosis projects at Kitware. As a director, Andinet leads a group of 20+ engineers who work in various medical computing research areas including image-guided intervention, virtual surgical simulation and training, computational physiology modeling, digital pathology, medical image analysis, and visualization algorithms.

Angie Fasoula, PhD

Dr. Angie Fasoula is the Scientific & Technical Manager of the Wavelia Microwave Breast Imaging system development ( https://www.wavelia.com/ ) in Microwave Vision Group (MVG). She holds a PhD degree in Electrical and Computer Engineering from TUDelft, The Netherlands (2011) and an Electrical and Computer Engineering Diploma from the Aristotle University of Thessaloniki, Greece (2005). In 2006, she was awarded a 3-year Marie Curie fellowship for early-stage research, hosted in Thales Nederland BV, in Delft, where she partially carried-out her PhD research. Her thesis was focused on radar signal processing and imaging algorithm development for target classification. Since late 2013, she is dedicated to R&D work on Microwave Breast Imaging, within MVG Industries. Prior to that, she performed post-doctoral research in brain network connectivity analysis, using MagnetoEncephaloGraphic (MEG) data, in the Brain and Spine Institute, Paris, France (2011-2013). She also gained a 2-year industrial experience as a Radar System Engineer, in Thales Air Systems, Limours, France (2009-2011).

Sanna Gaspard, PhD

Sanna Gaspard has a passion for entrepreneurship, healthcare, medical devices, and innovation. She earned her bachelor’s degree in Biomedical Engineering (BME) at the University of Miami in Miami, FL (‘04).  She completed her Masters (’05) and PhD (’11) in BME at Carnegie Mellon University.
While earning her graduate degree she received two patents for two medical technologies she invented. Her two inventions include an infant therapy device to support preterm infants’ health and an optical device for early bedsore detection. To support the commercialization of these technologies she founded two medical device companies, TLneoCare, LLC and Rubitection Inc. As CEO she developed the business strategy, IP strategy, and raised initial financing.
She has received recognition and awards recognizing her engineering skill and entrepreneurial including being selected as an American Association for the Advancement of Science (AAAS)-Lemelson Invention Ambassador (’17), an ASME ISHOW finalist (’18), a finalist for the UpPrize Competition (’17), 1st place winner for the AlphaLab Gear Hardware Cup (’17), SPIE Startup Challenge Semifinalist (’16), 2nd place winner at the HitLab Healthcare Challenge(’15), a finalist for the Mass Challenge Business accelerator in Boston (’13), 1st place at the 3 Rivers Investment Venture Fair’s Technology showcase (‘11), and IEEE New Face of Engineering (’10).
Her passion for science, health innovation, technology, inventorship, mentorship, and entrepreneurship is only match by her desire to help students develop an interest in STEM fields and jobs and helping others.

Ira Ktena, PhD

Ira Ktena is a Staff Research Scientist at Google DeepMind working on Machine Learning research for Life Sciences in the Deep Learning group. Previously, she was a senior Machine Learning Researcher with the Cortex Applied Research team at Twitter UK, focusing on real-time personalisation while she carried out research at the intersection of recommender systems and algorithmic transparency. Her exploration on algorithmic amplification of political content on Twitter was featured by the Economist and the BBC, among others. She is passionate about community outreach and increasing diversity in technology, which led her to developing a 6-week Data Science course for Code First Girls along with some friends. She is constantly striving to learn more about Algorithmic Fairness & Transparency.

George Loudos, PhD

Dr George Loudos is co-founder and CEO of BIOEMTECH with main interest in developing imaging systems for preclinical and nanomedicine drug research. Starting from Academia, he has decided to put his effort towards the design and development of new products and services, which can speed up the daily work of numerous research groups worldwide, combining high performance and affordable cost. Today, BIOEMTECH has its own premises at the Technological Park Lefkippos of Demokritos research center that include an animal facility, in vitro, radiochemistry and in vivo imaging lab. Recently BIOEMTECH received funding from Metavallon Venture Capital to support the sales and marketing of its products and penetration in international market.

Xenophon Papademetris, PhD

Xenophon Papademetris, PhD has twenty five plus years of experience in medical image analysis, machine learning, and software development. He has been involved in a variety of imaging projects ranging from cardiac image analysis, image-guided epilepsy neurosurgery, image-guided prostate biopsy, development of methods for real-time fMRI, vascular image analysis and general neuroimaging analysis. He and his team have used both model-based approaches (biomechanical and physiological models) and more data-driven statistical/machine learning approaches. These projects spanned most of the imaging modalities (MRI, CT, Ultrasound, PET, SPECT, Optical), body parts (brain, head, heart, vasculature, prostate, abdomen, hindlimbs) and a variety of species.

Piotr Slomka, PhD, FACC, FASNC

The research of Piotr Slomka, PhD, focuses on the development of automated software and algorithms to allow analysis of 3-D images of the heart, in much the same way as an experienced human operator would. He also studies the application of artificial intelligence techniques to the measurement of parameters critical to understanding the state and behavior of the human heart.

Thanos Stavropoulos, PhD

Dr Thanos Stavropoulos (he/him) is a Technology & Innovation Senior Manager at the Pfizer Center for Digital Innovation (CDI), part of the Open Innovation Team (OIT), responsible for collaborative innovation projects with the rich ecosystem in Greece, of universities, startups and research centers. He holds a BSc (2009), an MSc (2011) and a PhD in “Web Services in Ambient Intelligence Environments” (2015) from the Computer Science Department of the Aristotle University of Thessaloniki, Greece (AUTH). In the last ten years, he has managed and implemented national and European research projects, particularly as a Postdoc Researcher at the Information Technologies Institute of the Centre for Research and Technology Hellas (CERTH-ITI) in the areas of the Internet of Things and e-Health (Dem@Care, MAMEM, ACTIVAGE, GATEKEEPER), the Semantic Web (PERICLES), Decentralized Clinical Trials, e-Prescription (PrescIT) and Smart Home pilots (RADAR-AD, Trials@Home), co-authoring more than 80 publications in peer-reviewed journals and conference proceedings in these topics. Parallel activities include managing his own yoga studio, as a Certified Yoga and AcroYoga Teacher.

Christos Xanthis, PhD

Christos Xanthis, PhD currently works on research and commercial projects that involve advanced simulations of Magnetic Resonance Imaging (MRI). He envisions that advanced simulations of MR physics combined with GPU-computing, cloud-computing and Artificial-Intelligence will change the way MR research, MR training and clinical MR are performed today.
He received his PhD from the Department of Computer Science and Biomedical Informatics, University of Thessaly, Greece. The main objective of his PhD study was the design and development of MRISIMUL, an enhanced Magnetic Resonance Imaging (MRI) physics simulator with the utilization of GPU cards, CUDA technology and cloud computing (Amazon AWS and Microsoft Azure).