rsipvision.com

Skip to content World-class partner in Image Analysis & AI for Medical Imaging Custom computer vision for medical devices and applications RSIP Vision offers field-tested software solutions and custom R&D prowess to power your next product with innovative image analysis capabilities. Read more about us Trusted by industry-leading medicaldevice companies 0 Focus: Medical image analysis 0 + Years of operation 0 + Engineers and medical professionals 0 s Applications in clinical use We work in multiple fields For over two decades, at the forefront of medical image analysis and AI, our technologies have contributed to multiple medical systems and surgical procedures. We have been involved in joint replacement surgery, bronchoscopies, cath labs, and so much more. Cardiology Cardiology We executed successful cardiac image analysis projects in all the relevant imaging modalities-CT, MRI, fluoro, ultrasound, point cloud-powering product development. View Orthopedics Orthopedics RSIP Vision brings specific field-tested experience in solving real-world orthopedic imaging challenges for multiple clinical use cases. View Gastro Gastro From efficient disease screening to advanced endoscopy and interventional use cases, RSIP Vision’s technologies are here to help you lead the pack in this fast-growing space. View Pulmonology Pulmonology Tumor classification, registration of X-ray images with pre-op CT scan, and segmentation of the lungs’ components: our developments can do it all. View Surgical Surgical AI-assisted surgery is one of the most important emerging frontiers in medical imaging. We build the technologies to improve the OR of the future. View ENT ENT Proven expertise and experience in ENT, including overcoming registration challenges, CT and MRI image fusion, catheter navigation during procedures, and more. View Urology Urology Versatile experience and extensive clinical understanding of AI in the urology field. CT, MR, fluoro, ultrasound, and video, we handle them all. View Ophthalmology Ophthalmology Proven expertise and experience in ophthalmology, including fundus image stitching, eye tracking, OCT retinal layer segmentation, and many more. View And multiple modalities Our solutions have helped enhance ultrasound, CT scans, and MRIs. We enable greater insights into OCTs and surgical video. Endoscopy Endoscopy Medical video presents unique challenges. We've tackled these challenges, and time and again helped our clients take their products to the next level. View Medical Segmentation Medical Segmentation Robust and accurate segmentation engines in all modalities (CT, MRI, X-ray, ultrasound) and clinical fields. Clinically proven and deployed. View Ultrasound Ultrasound Our automated technologies overcome the many challenges of ultrasound, helping in image acquisition, quantification, image analysis, and guidance. View Show more fields Microscopy Microscopy Our experience in Microscopy images and field-tested technologies will help you automate the most challenging tasks with state-of-the-art accuracy and robustness. View Our process is transparent to our clients At every stage of the innovation process, from inception to market, we work with passion, dedication, and vision-to get the job done on time. With precision and transparency, working side by side with our client’s team, we are enhancing concept generation, accelerating R&D, and shortening time to market, this adds up to creating new capabilities and establishing a competitive edge on behalf of our clients. 01 Concept Development Turn unmet needs and initial concepts into an actionable game plan 02 Prototype Creation Create a minimum viable solution, demo feasibility and de-risking key aspects 03 Implementation Develop the full-scale solution, taking it to production quality-medical AI that works! 04 Productization Including integration, validation, and support for the regulatory process Our clients say When we decided to explore new AI approaches to challenging medical video analysis tasks, we engaged RSIP Vision. We found their team to be experts in the most advanced deep learning methods and in performing short development cycles, to provide proof of concept for such solutions.-Tina Chen, Computer Vision Engineer at Activ Surgical Working with RSIP Vision as the CTO of a medical device company was very fruitful. Their team is professional, innovative, and efficient: the AI development process was transparent to our internal team and at the same time it met the project timeline. This teamwork provided the novelty and the capabilities that will boost our next-generation products.-Jeremy Bercoff, Vice President of R&D at Hologic Looking for innovative technologies to enhance our Digital Surgery Platform, we found RSIP Vision’s algorithmic solutions to be robust, clinically accurate, and quick. Together with an expert and responsive team, they offer a unique solution.-Riccardo Signoretti, Vice President, Digital Surgery Platform at LinkBio Just before releasing our first version of the product, we encountered new data and needed to rapidly develop an algorithm for head CT basic segmentation. RSIP Vision was very professional, practical, and responsive. They provided a solution quickly and improved it to work on the new data we sent them. The communication before and during the project was excellent. The algorithm is still used today in our product, doing a good job on hundreds of CT scans.-Yoav Pinsky, Software Engineer at Biosense Webster, a J&J Company -Tina Chen, Computer Vision Engineer at Activ SurgicalWhen we decided to explore new AI approaches to challenging medical video analysis tasks, we engaged RSIP Vision. We found their team to be experts in the most advanced deep learning methods and in performing short development cycles, to provide proof of concept for such solutions.-Jeremy Bercoff, Vice President of R&D at HologicWorking with RSIP Vision as the CTO of a medical device company was very fruitful. Their team is professional, innovative, and efficient: the AI development process was transparent to our internal team and at the same time it met the project timeline. This teamwork provided the novelty and the capabilities that will boost our next-generation products.-Riccardo Signoretti, Vice President, Digital Surgery Platform at LinkBioLooking for innovative technologies to enhance our Digital Surgery Platform, we found RSIP Vision's algorithmic solutions to be robust, clinically accurate, and quick. Together with an expert and responsive team, they offer a unique solution.-Yoav Pinsky, Software Engineer at Biosense Webster, a J&J CompanyJust before releasing our first version of the product, we encountered new data and needed to rapidly develop an algorithm for head CT basic segmentation. RSIP Vision was very professional, practical, and responsive. They provided a solution quickly and improved it to work on the new data we sent them. The communication before and during the project was excellent. The algorithm is still used today in our product, doing a good job on hundreds of CT scans. Previous Next Computer VisionMagazines Join 8,000 professionals who receivethe monthly edition Subscribe for free View our magazines Case Studies We've created value, solved problems and drove innovation for our industry-leading clients Read more Learn more about us and how we work Read more Recent News RSIP Vision is attending SAGES 2026 in Tampa, FL RSIP Vision is attending AAOS 2026 RSIP Vision will be at the Spine Summit in Phoenix, AZ RSIP Vision will be attending the SAGES NBT Innovation weekend All news Upcoming Events SAGES | Tampa, FL March 25 - 28 2026 AUA | Washington, DC May 15 - 18 2026 ATS | Orlando, FL May 17 - 20 2026 Stay informed for our next events Find quick answers here FAQ Follow us Linkedin Twitter Facebook Youtube contact@rsipvision.com Terms of Use Privacy Policy © All rights reserved to RSIP Vision 2023 Created by Shmulik Subscribe for free Subscribe now and receive the Computer Vision News magazine every month to your mailbox Subscribe now --- Skip to content About RSIP Vision RSIP Vision RSIP Vision, led by Ron Soferman, is an established leader in computer vision and image processing R&D. In its 25 years of operation, RSIP Vision has provided countless clients with advanced customized software for their core businesses, using sophisticated algorithms and machine learning techniques.RSIP Vision employs distinguished engineers from various fields, including physics, computer science, mathematics, biomedicine, and neuroscience. Our engineers’ multidisciplinary expertise allows us to provide innovative and efficient solutions for our clients, while all our staff members benefit from one another’s specific field expertise. What sets us apart We have delivered advanced solutions for hundreds of projects, amassing a wealth of knowledge that we pass on to our clients through our work. Our substantial experience spans the biomedical field through the semiconductor industry, and includes automatic inspection, object recognition and tracking, 3D reconstruction, and OCR, among other techniques. Some of our work is used by medical experts to assist them in saving lives, be it during the diagnostics phase or in the operation room.We are continually updating our knowledge, adapting to emergent technologies and challenges in our clients’ industries. Our successful collaborations have enabled us to expand from Israel to Boston and San Francisco. We solve complex problems for our clients, delivering solutions that contribute to their success and save them time and money. We are proud of the work we do, and our role in our clients’ achievements around the globe. Our Management Team David MenasheCTO 20+ years of R&D and managerial experience focusing on algorithms, computer vision, AI, and multi-disciplinary product development. Holds a Ph.D. in Physics. Ron SofermanFounder & CEO An experienced CEO and entrepreneur, one of Israel’s AI pioneers. Served in the renowned IDF Unit 8200. Years of experience in managing R&D in advanced vision-based systems. Arie RondVP R&D Broad experience in developing AI and DL solutions in the field of medical imaging as well as leading multidisciplinary development teams. Get in touch Please fill the following form and our experts will be happy to reply to you soon Name Email Message Send Recent News RSIP Vision is attending SAGES 2026 in Tampa, FL RSIP Vision is attending AAOS 2026 RSIP Vision will be at the Spine Summit in Phoenix, AZ RSIP Vision will be attending the SAGES NBT Innovation weekend All news Upcoming Events SAGES | Tampa, FL March 25 - 28 2026 AUA | Washington, DC May 15 - 18 2026 ATS | Orlando, FL May 17 - 20 2026 Stay informed for our next events Find quick answers here FAQ Follow us Linkedin Twitter Facebook Youtube contact@rsipvision.com Terms of Use Privacy Policy © All rights reserved to RSIP Vision 2023 Created by Shmulik --- Skip to content Contact Us Get in touch Please fill the following form and our experts will be happy to reply to you soon Name Email Message Send contact@rsipvision.com Linkedin: RSIP Vision Twitter: @RSIPvision Facebook: @RSIPvision Youtube: RSIP Vision Our offices San Francisco, California, USA 201 Spear Street, Suite 1100 contact@rsipvision.com Jerusalem, Israel 15 Shamai st. Jerusalem (+972) 2-6278656 Recent News RSIP Vision is attending SAGES 2026 in Tampa, FL RSIP Vision is attending AAOS 2026 RSIP Vision will be at the Spine Summit in Phoenix, AZ RSIP Vision will be attending the SAGES NBT Innovation weekend All news Upcoming Events SAGES | Tampa, FL March 25 - 28 2026 AUA | Washington, DC May 15 - 18 2026 ATS | Orlando, FL May 17 - 20 2026 Stay informed for our next events Find quick answers here FAQ Follow us Linkedin Twitter Facebook Youtube contact@rsipvision.com Terms of Use Privacy Policy © All rights reserved to RSIP Vision 2023 Created by Shmulik --- Skip to content Cardiology Driving innovation across cardiac imaging modalities RSIP Vision brings broad and deep experience to the table for developing novel image analysis solutions for cardiology. We've executed successful cardiac image analysis projects in all the relevant imaging modalities-CT, MRI, fluoro, ultrasound, point cloud-and powered product development efforts in a wide variety of computer vision use cases in the field. AI and Computer Vision Technologies Much more than AI, we integrate expert medical knowledge from Day One, and leverage all image analysis techniques – from neural networks to 3D computer vision to parametric modeling, integrating multiple data sources and expert clinical knowledge to power the solution. Contrast CT SegmentationAnatomical segregation and precise measurements + Contrast CT Segmentation Anatomical segregation and precise measurements Parition of adjacent cardiac chambers, vasculature and surrounding mediastinal structures Extraction of pertinent radiological findings in accordance with physician's request Post-processing and custom measurements of complex anatomical and pathological findings Customizable for all cardiovascular applications Coronary Artery SegmentationAutomatic segmentation, labeling and analysis + 3D Reconstruction​ CA 3D mesh created from masks Applications 3D reconstruction of Coronary arteries and aorta 3D reconstruction of Coronary arteries centerline Suitable for CT machines or post processing applications (work station / cloud / PACS) Input types CT Technologies Deep neural networks - when training data is available Classical computer vision for post processing or semi-automatic approach Multimodal RegistrationMatch 2D imaging to 3D anatomy + Multimodal Registration​ Classical & deep learning based technologies Customized to user needs 2D to 2D, 2D to 3D, and 3D to 3D capabilities Rigid and deformable registration Support all modalities & image characteristics IVUSCharacterization of coronary artery lumen and atherosclerotic plaques + IVUS Deep-learning based analysis Intravascular Imaging System enhancement Automated segmentation of cross-sectional measurements Automatic measurement of coronary artery lumen Lesions characterization Auto analysis of narrowing of the arteries including degree of calcification Real-time depiction provides immediate feedback to the physician during the procedure Enhanced artifact elimination Real-time AnalysisReal-time segmentation volumes calculations and Quality assessment + Real-time Analysis Real-time analysis of a given cardiac ultrasound viewSuitable for POCUS, monitoring systems and ultrasound cartsAI-based engineMay include auto Real-time quality scoring Multi Class SegmentationAuto segmentation, volumes and calculations + Multi Class Segmentation Full Analysis of a given cardiac ultrasound view Detection and measurement of main anatomical landmarks, such as: Pericardium, RV, IVS, LVPW, LA, Mitral Valve, and Aortic valve, as well as quantification of EF and FS. AI-based alerting of parameters deviating from the normal range Doppler AnalysisPre-op or real-time analysis and wave analysis + Doppler Analysis AI-based segmentation of A and E waves Automatic detection of QRS Fully automatic analysis and calculations, such as: RR, DFT and QRSE MRI SegmentationDelineation of cardiac structures by dynamic and static imaging + MRI Segmentation Delineation of cardiac structures by static and dynamic imagingCustomizable for all cardiovascular applicationsSuperior soft tissue assessmentPhysiological characterization of myocardial and valvular diseases (e.g. stenosis & regurgitation) by post-processing and custom measurements IVOCTHigh-resolution depiction of Coronary artery intraluminal morphology + IVOCT Deep-learning based analysisAutomatic measurement of coronary artery lumenCoronary artery wall and luminal abnormality detectionReal-time depiction  provides immediate feedback to the interventional cardiologist during the procedureEnhanced artifact eliminationIVUS – IVOCT fusion Case study 3D Reconstruction for Heart Chambers The challengeAn industry leaders in the electrophysiology space want to develop innovative solutions for improved mapping of electrical activity and anatomy of heart chambersThe goal was to create faster and more informative maps from noisy and sparse dataDeveloping these unique capabilities would enable the organization to gain a competitive edgeOur approachThe RSIP Vision R&D teams developed production – quality mathematical models, algorithms, and software implementations, providing unique and effective capabilities for the mapping tasksWe developed the initial client IP seeds into fully functional implementationWe created a new IP on behalf of the client by inventing novel models from the ground upThe outcomeElectrical activity mapping:Is now integrated & in clinical use in industry-leading medical deviceProvides unique insights for evaluation of complex pathologiesHas generated excellent physician feedback and is a  significant market differentiator for our client3D anatomical reconstruction:Proven in >100 clinical trial casesProducing anatomically accurate maps from sparse and noisy inputReduces mapping time by up to 15 minutes Learn more Learn more solutions and technologies from this field AI for Structural Heart Procedures Structural heart diseases include structural deformation of the heart, like valve leakage: the blood flows in two directions and the patient is losing efficiency of the heart. These problems can lead down the line to heart failure. Cardiology offers many possible solutions to structural heart diseases, like implanting a new valve, fix the current valve, fix the valve leaflets and more. When the heart contracts, the leaflets are expected to seal adequately and direct the blood in the desired direction. When there is a malformation or problem with the leaflet, Read More Announcement – Non-Invasive Planning of Coronary Intervention RSIP Vision Presents New Technology for Non-Invasive Planning of Coronary Intervention Innovative technology provides accurate coronary artery 3D reconstruction from 2D angiography to be used for diagnosis, measurements, stent modelling, and characterization for procedural planning. TEL AVIV, Israel & SAN JOSE, Calif., December 8, 2021 – RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced AI and computer vision solutions, today announces a new coronary artery modelling technology. This technology enables quick and accurate reconstruction of the coronary vasculature during angiography into a 3D model. This Read More Deep Learning for Cardiac Ultrasound (Echocardiography) Despite the importance of echocardiography in the diagnosis and treatment of serious cardiac illness, this imaging technology faces two main challenges: Image quality and image assessment. RSIP Vision uses deep learning to enhance both, making it easier for physicians and researchers to interpret findings. As a result, our method resolves user variability, accuracy and efficiency in cardiac ultrasound with advanced, deep learning neural networks. Learn how we do it on our software. Read More AI in Cardiac CT angiography Coronary computed tomography angiography (CCTA) is an efficient and non-invasive imaging modality with widespread clinical implementation in the identification of coronary artery disease (CAD). With rapid 3D visualization of coronary arteries and heart, including visualization of blood flow in arteries and capillaries, CCTA enables accurate monitoring of the coronary tree for blockages and other pathologies, yet, some major challenges remain to be met to maximize its clinical value. Complexity of CCTA Analysis: diagnostic accuracy of CCTA. The diagnostic value of CCTA relies on manual assessment of a 3D model of Read More Coronary Arteries Segmentation Coronary artery disease (CAD) or ischemic heart disease (IHD) has become one of the most common causes of morbidity and mortality worldwide. Patients who suffer from CAD, usually have accumulation of deposits such as lipids and inflammatory cells within the coronary arteries, potentially causing abnormal blood flow to the heart muscle due to vessel stenosis, causing ischemia and permanent damage to the heart. Sometimes, a sudden plaque rupture occurs within the coronary artery resulting in acute coronary syndromes (ACS). In these life-threatening cases, also referred to as myocardial infarction (MI) Read More Great Vessels Segmentation with Deep Learning The great vessels conduct blood to and from the heart. These vessels include the aorta, superior and inferior vena cava, pulmonary arteries and pulmonary veins. Since the great vessels are an integral part of systemic and pulmonary circulation, vascular pathologies involving said vessels might be deadly. Computed tomography (CT) imaging is a useful tool for assessing the great vessels, and has become an essential tool for diagnosis of vascular pathologies, including aortic arch aneurysm, valvular heart disease and congenital vascular anomalies, such as aortic stenosis, coarctation of aorta or transposition Read More AI for Structural Heart Procedures Structural heart diseases include structural deformation of the heart, like valve leakage: the blood flows in two directions and the patient is losing efficiency of the heart. These problems can lead down the line to heart failure. Cardiology offers many possible solutions to structural heart diseases, like implanting a new valve, fix the current valve, fix the valve leaflets and more. When the heart contracts, the leaflets are expected to seal adequately and direct the blood in the desired direction. When there is a malformation or problem with the leaflet, Read More Announcement – Non-Invasive Planning of Coronary Intervention RSIP Vision Presents New Technology for Non-Invasive Planning of Coronary Intervention Innovative technology provides accurate coronary artery 3D reconstruction from 2D angiography to be used for diagnosis, measurements, stent modelling, and characterization for procedural planning. TEL AVIV, Israel & SAN JOSE, Calif., December 8, 2021 – RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced AI and computer vision solutions, today announces a new coronary artery modelling technology. This technology enables quick and accurate reconstruction of the coronary vasculature during angiography into a 3D model. This Read More Deep Learning for Cardiac Ultrasound (Echocardiography) Despite the importance of echocardiography in the diagnosis and treatment of serious cardiac illness, this imaging technology faces two main challenges: Image quality and image assessment. RSIP Vision uses deep learning to enhance both, making it easier for physicians and researchers to interpret findings. As a result, our method resolves user variability, accuracy and efficiency in cardiac ultrasound with advanced, deep learning neural networks. Learn how we do it on our software. Read More AI in Cardiac CT angiography Coronary computed tomography angiography (CCTA) is an efficient and non-invasive imaging modality with widespread clinical implementation in the identification of coronary artery disease (CAD). With rapid 3D visualization of coronary arteries and heart, including visualization of blood flow in arteries and capillaries, CCTA enables accurate monitoring of the coronary tree for blockages and other pathologies, yet, some major challenges remain to be met to maximize its clinical value. Complexity of CCTA Analysis: diagnostic accuracy of CCTA. The diagnostic value of CCTA relies on manual assessment of a 3D model of Read More Coronary Arteries Segmentation Coronary artery disease (CAD) or ischemic heart disease (IHD) has become one of the most common causes of morbidity and mortality worldwide. Patients who suffer from CAD, usually have accumulation of deposits such as lipids and inflammatory cells within the coronary arteries, potentially causing abnormal blood flow to the heart muscle due to vessel stenosis, causing ischemia and permanent damage to the heart. Sometimes, a sudden plaque rupture occurs within the coronary artery resulting in acute coronary syndromes (ACS). In these life-threatening cases, also referred to as myocardial infarction (MI) Read More Great Vessels Segmentation with Deep Learning The great vessels conduct blood to and from the heart. These vessels include the aorta, superior and inferior vena cava, pulmonary arteries and pulmonary veins. Since the great vessels are an integral part of systemic and pulmonary circulation, vascular pathologies involving said vessels might be deadly. Computed tomography (CT) imaging is a useful tool for assessing the great vessels, and has become an essential tool for diagnosis of vascular pathologies, including aortic arch aneurysm, valvular heart disease and congenital vascular anomalies, such as aortic stenosis, coarctation of aorta or transposition Read More Show more Get in touch Please fill the following form and our experts will be happy to reply to you soon Name Email Message Send Recent News RSIP Vision is attending SAGES 2026 in Tampa, FL RSIP Vision is attending AAOS 2026 RSIP Vision will be at the Spine Summit in Phoenix, AZ RSIP Vision will be attending the SAGES NBT Innovation weekend All news Upcoming Events SAGES | Tampa, FL March 25 - 28 2026 AUA | Washington, DC May 15 - 18 2026 ATS | Orlando, FL May 17 - 20 2026 Stay informed for our next events Find quick answers here FAQ Follow us Linkedin Twitter Facebook Youtube contact@rsipvision.com Terms of Use Privacy Policy © All rights reserved to RSIP Vision 2023 Created by Shmulik