Neal K. Bangerter
Professor and Chair of Electrical and Computer Engineering, Boise State University, USA 🇺🇸; Visiting Professor of Bioengineering, Imperial College London, UK 🇬🇧
SAB & PARTNERS
Our Scientifc Advisory Board and Partners bring together highly experienced and next generation scientists whose advice and strategic perspective are invaluable to our continued growth and progress. Learn more about them through their LinkedIn Profiles, Bios & Videos.
Scientific Advisory Board
Rupsa Bhattacharjee
Principal Investigator and Assistant Professor, IIT Madras, India 🇮🇳
Rupsa Bhattacharjee
Principal Investigator and Assistant Professor, IIT Madras, India 🇮🇳
Rupsa Bhattacharjee, PhD is a Postdoctoral Associate Specialist in the Radiology and Biomedical Imaging Department at the University of California San Francisco (UCSF). She is an Imaging Scientist with a primary interest in developing algorithms to improve the utility of MRI imaging as a diagnostic and prognostic tool. She obtained her doctoral degree in Biomedical Engineering at IIT Delhi, working on utilizing Susceptibility weighted MR imaging (SWI) in human subjects for non-invasive diagnosis of brain tumors and acute ischemic stroke. After graduation, in 2021, she joined the Musculoskeletal Quantitative Imaging Research Group (MQIR) at UCSF to study joint diseases with compositional and metabolic MRI techniques combined with machine learning tools and biomechanics. She has worked as an MRI Application Specialist in Philips Health Systems India for 8 years, closely with various healthcare facilities to set up and optimize MRI scan acquisition parameters according to curtailed needs (1.5T & 3.0T). During her years in the industry, she has partnered with Clinical scientists to jointly run MRI projects on a trial basis in Philips MRI collaborative research centers. She had been an active part of Philips India’s AI-ambassadors team for AI-based knowledge sharing and educational, collaborative approaches. In the past year, she was named a ‘Junior Fellow’ at the International Society of Magnetic Resonance Imaging in Medicine (ISMRM) and has received the ‘Bruce Hasegawa Memorial Award’ for excellence in Basic Imaging Science Research at UCSF.
Overall Expertise
- Magnetic Resonance Imaging Acquisition, Post-processing, Analysis, Computational methods
- Musculoskeletal PET-MRI (NaF) Imaging and Osteoarthritis research: 3.0T & 0.55T
- Disease Progression, Follow-up: T1p, T2, Bone, Cartilage, Muscle, Menisci health, compositional, metabolic and morphological Biomarkers in Osteoarthritis
- Machine Learning & Deep Learning: synthetic imaging, grading, image assessment, anomaly detection, denoising and segmentation
- Working and curating larger image databases, conducting and evaluating Health-Data specific AI challenges for Conferences (Miccai-2022)
- Experience working with Biomechanical data analysis (kinetics, kinematics, gait analysis)
- Exploring the technical feasibility of utilizing new-generation MRI scanners (0.55T) for Osteoarthritis evaluation
- Specialized in Neuro MRI Imaging Evaluation: Glioma & Acute Ischemic Stroke
- Susceptibility Weighted Imaging (SWI) and its utilization in novel scopes
Clinical Questions I am interested in
- Understanding progression of musculoskeletal degenerative diseases: Intra & Inter-joint, Intra & Inter-Tissue (Hip and Knee connections, Bone, Cartilage, Muscle, Menisci) via assessment of metabolic, compositional, and morphological biomarkers
- Identifying demographic-specific differences in musculoskeletal disease progression: via Imaging and Biomechanical analysis (Sports and rehabilitation conditions, geography and lifestyle specific changes)
- Decoding the understanding of musculoskeletal pain via joint-brain connections
- Translating existing biomarker evaluations/developments down to economic scanners of lower capabilities
More information can be found at: Link
Mikael Boesen
Professor of Musculoskeletal Radiology, Copenhagen University; Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark 🇩🇰
Mikael Boesen
Professor of Musculoskeletal Radiology, Copenhagen University; Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark 🇩🇰
| Name: | Mikael Ploug Boesen, MD, Ph.D. |
| Born: | May 27th 1971 in Copenhagen, Denmark |
| Work: | Bispebjerg and Frederiksberg Hospital, Deptof Radiology, Bispebjerg Bakke 23, 2400 Copenhagen NV, Denmark |
| 2017 | Professor in musculoskeletal radiology at Copenhagen University and Bispebjerg and Frederiksberg Hospital |
| 2015 | Associate Professor in Radiology at Copenhagen University, Denmark |
| 2014 | Senior Consultant, head of musculoskeletal imaging and research, Dept. of Radiology, Bispebjerg and Frederiksberg Hospital |
| 2009-2013 | Head of MSK MRI research, Dept. of Radiology, Bispebjerg and Frederiksberg |
| 2013 | Specialist in Radiology, Consultant in Radiology, Dept. of Radiology Bispebjerg and Frederiksberg |
| 2008 | PhD degree entitled: “Magnetic Resonance Imaging of Joints Following Intra-articular Treatment and Procedures in Arthritis” |
| 1999 | Medical school graduation (Cand. Med.), University of Copenhagen |
I defended my PhD thesis in June 2008, entitled “Magnetic resonance imaging of joints following intra-articular treatment in arthritis” from the Parker Institute and Aalborg University. Throughout my radiology career I have pursued my special interest in advanced imaging of patients with various musculoskeletal conditions. My group and I have, specialised in quantification of cartilage changes as well as, soft tissue and bone inflammation in the joints with advanced imaging. We also serve as European reference centre for studies using a tilting open dedicated MRI unite – G-scan from ESAOTE, looking at the mechanical changes in the soft tissue, bone and cartilage in the spine, knee joints and feet going from supine to standing position.
Since 2008 I have been chairman of the IMAGINE group investigating DCE-MRI in patients with inflammatory arthritis, and I have co-organised several national and international imaging symposia’s and imaging courses, and have served as radiological specialist in the development of the national and international guidelines for imaging of degenerative and inflammatory joint and spinal diseases. I am an invited associate board member of the of the Arthritis Research UK Centre for Sport, Exercise and Osteoarthritis, MUSKRAD, ESSR, DRS, ESR, EULAR,OARSI, DIMS and I am part of the clinical and scientific advisory board of Image Analysis Group, London UK since 2010, where I have served as chairman until January 2019. Recently I have joined the scientific advisory board member of Chondrometrics, GmbH, Ainring, Germany in February 2019.
Management experience
| Jan 2014- | Senior Consultant, head of musculoskeletal imaging and research, Dept. of Radiology, Bispebjerg and Frederiksberg Hospital, Copenhagen Denmark |
| 2010-2018 | Head of clinical and research advisory board Image Analysis Group (IAG), London, UK |
| 2007- | Head of MSK MRI research, Dept. of Radiology, and Parker Institute, Bispebjerg and Frederiksberg Hospital, Copenhagen Denmark |
Supervised or co-supervised, 4 pre-graduate students, 15 national PhD’s (6 as main supervisor) and 2 international PhD’s as well as 2 postdocs
Link to complete list of publications:Research gate profile, Google Scholar
Rainer Burgkart
Professor and Head of Research and Education, Clinic for Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, Technical University Munich, Germany 🇩🇪
Akshay Chaudhari
Assistant Professor of Radiology and Biomedical Data Science, Stanford University, Palo Alto, CA, USA 🇺🇸
Jamie E. Collins
Associate Professor of Orthopaedic Surgery, Harvard Medical School; Associate Director, Orthopaedic and Arthritis Center for Outcomes Research, Boston, USA 🇺🇸
Jamie E. Collins
Associate Professor of Orthopaedic Surgery, Harvard Medical School; Associate Director, Orthopaedic and Arthritis Center for Outcomes Research, Boston, USA 🇺🇸
Name and Current Position
Jamie E. Collins, PhD; Associate Professor of Orthopedic Surgery at Harvard Medical School, Boston USA, Biostatistician and Associate Director, Orthopedic and Arthritis Center for Outcomes Research, Brigham and Women’s Hospital, Boston USA
Expertise Summary
Dr. Jamie E. Collins is an internationally recognized biostatistician specializing in osteoarthritis (OA) clinical trials, imaging biomarkers, and longitudinal disease modeling. Her work focuses on the development and validation of structural and biochemical biomarkers of OA progression, statistical methods for correlated and high-dimensional imaging data, and design and analysis of randomized controlled trials. She has played a central role in advancing MRI-based endpoints and prognostic enrichment strategies to support disease-modifying OA drug development.
Education & Training
- BA Mathematics/Statistics, Boston University, Boston, USA (2005)
- MA Mathematics/Statistics, Boston University, Boston, USA (2005)
- PhD Biostatistics, Boston University School of Public Health, Boston, USA (2014)
Key Academic Appointments
- Associate Director, Orthopedic and Arthritis Center for Outcomes Research (OrACORe), Brigham and Women’s Hospital, Boston, USA (2023–present)
- Associate Professor of Orthopedic Surgery, Harvard Medical School, Boston, USA (2022–present)
- Assistant Professor of Orthopedic Surgery, Harvard Medical School, Boston, USA (2014–2022)
Scientific Leadership & Honors
- Director, Statistical Consulting Unit, Department of Orthopedic Surgery, Brigham and Women’s Hospital, Boston, USA
- Director, Data Management and Analysis Core, Brigham Coordinating Center (BRICC), Arthritis Foundation OA Clinical Trials Network, USA
- Osteoarthritis Research Society International (OARSI) Rising Star Clinical Research Award (2021)
Role within Chondrometrics
At Chondrometrics, Dr. Collins provides strategic guidance on statistical methodology for MRI-based endpoints, trial design, enrichment strategies, and regulatory alignment of structural imaging biomarkers in osteoarthritis. She supports the company’s mission to advance quantitative imaging solutions that enhance the efficiency and interpretability of disease-modifying OA clinical trials.
Selected Publications or Output
- Collins JE et al. Approaches to optimize analyses of multidimensional ordinal MRI data in osteoarthritis research: a perspective. Osteoarthritis and Cartilage Open. 2024 Jun 1;6(2):100465. https://pubmed.ncbi.nlm.nih.gov/38601258/
- Katz JN, Collins JE, et al. A randomized trial of physical therapy for meniscal tear and knee pain. New England Journal of Medicine. 2025 Oct 30;393(17):1694-703. https://pubmed.ncbi.nlm.nih.gov/41160820/
- Collins JE et al. Five-year structural changes in patients with meniscal tear and osteoarthritis: Data from an RCT of arthroscopic partial meniscectomy vs. physical therapy. Arthritis Rheumatol. 2022 Aug;74(8):1333-1342. https://pubmed.ncbi.nlm.nih.gov/35245416/
Other
- H-Index = 44; Google Scholar https://scholar.google.com/citations?hl=en&user=_-KE7lIAAAAJ
Jana Eder
Privatdozentin and Principal Investigator, Clinical Division of Rheumatology, Medical University of Vienna, Austria 🇦🇹
Jana Eder
Privatdozentin and Principal Investigator, Clinical Division of Rheumatology, Medical University of Vienna, Austria 🇦🇹
Name and Current Position
Priv. Doz. Jana Eder, PhD; Principal Investigator at Medical University Vienna, Austria.
Expertise Summary
Dr. Jana Eder is an Artifcial Intelligence (AI) scientist working at the interface of artificial intelligence and clinical research. Her work focuses on learning from limited labeled and heterogeneous medical data, including quantitative imaging. She develops robust and clinically relevant AI methods for research studies and clinical trials.
Education & Training
- PhD, Paracelsus Medical University (2018)
- Privat Dozent, Paracelsus Medical University (2023)
Key Academic Appointments
- Marie Curie Fellow, Early-Stage Researcher (2025-2018)
- Visiting PhD / Postdoctoral Researcher, ETH Zurich, Switzerland (2017/2018)
- Data Scientist, Chondrometrics GmbH, Freilassing, Germany (2018-2019)
- Senior Data Scientist, Siemens Research, Vienna, Austria (2022)
- Senior Key Expert for AI, Siemens Research, Vienna, Austria (2022-2025)
- Principal Investigator, AI Research, Medical University Vienna, Austria (2025-)
Scientific Leadership & Honors
- Best Paper Award – 7th IEEE International Conference on Fog and Edge Computing, IEEE Computing Society (2023)
- Paracelsus Science Award (2018/ 2019)
- Young Scientist Scholarship for a Research stay at ETH Zurich (2018)
- Member of the Year Award, Marie Curie Alumni Association Austria (2017)
- DAdorW Future Price, German Academy of Osteological and Rheumatological Sciences (2016)
- Marie Curie Doctoral Fellowship (2015)
- DAAD Promos Scholarship for a Research Semester Abroad, DAAD German Academic Exchange Service (2014)
- GIZ Scholarship for a Semester Abroad, German Federal Ministry of Education and Research and German Society for International Collaborations (2012)
Role within Chondrometrics
Dr. Jana Eder provides strategic leadership in artificial intelligence for healthcare, focusing on data-efficient learning from limited and heterogeneous datasets. She advances methods such as weak supervision and multi-source learning. She works on their rigorous clinical validation, to enable robust, clinically meaningful endpoints for research and clinical trials.
Selected Publications or Output
- Wirth, W., Eder, J. et al. Evaluation of an automated laminar cartilage T2 relaxation time analysis method in an early osteoarthritis model. Skeletal Radiol 2025 Mar;54(3):571-584. https://pubmed.ncbi.nlm.nih.gov/39230576/
- Eder, J., et al. Method and system for operating a technical device with a model based on artificial intelligence. U.S. Patent Application US20240272632A1. European Patent Application EP4414795A1 –
- Kemnitz, J. et al. Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteo-arthritic knee pain. Magn Reson Mater Phy (MAGMA) 2020 Aug;33(4):483-493. https://pubmed.ncbi.nlm.nih.gov/31872357/
Other
- Scientific Advisor, Women in AI, Austria (since 2018)
- Co-Author of the Handbook of Data Science and AI
Tazio Maleitzke
Associate Professor of Orthopaedic Surgery, Copenhagen University Hospital Hvidovre, Denmark 🇩🇰 & Universitätsmedizin Berlin, Charite - Berlin, Germany 🇩🇪
Tom Turmezei
Consultant Radiologist, Norfolk and Norwich University Hospital, Norwich, UK; Honorary Professor, University of East Anglia, UK 🇬🇧
Tom Turmezei
Consultant Radiologist, Norfolk and Norwich University Hospital, Norwich, UK; Honorary Professor, University of East Anglia, UK 🇬🇧
Name and Current Position
Prof. Tom Turmezei; Consultant Musculoskeletal Radiologist, Norfolk and Norwich University Hospitals, Norwich & Honorary Professor, University of East Anglia, Norwich, UK.
Expertise Summary
Prof. Turmezei is a practicing clinical radiologist in Norwich, UK, and an internationally recognized expert in musculoskeletal radiology and quantitative imaging, with a focus on osteoarthritis (OA) imaging, weight-bearing CT, and quantitative 3-D analysis. His work has significantly contributed to imaging biomarkers in osteoarthritis, particularly in the development and validation of advanced quantitative joint assessment techniques.Â
Education & Training
- BMBCh (Medicine), University of Oxford, UK (2002)
- MA in Natural Sciences (Psychology), University of Cambridge, UK (2003)
- Specialist Training in Radiology, UK (2006–2011)
- Fellow of the Royal College of Radiologists, UK (2009)
- MPhil (Medical Sciences), University of Cambridge, UK (2013)
- Clinical Musculoskeletal Radiology Fellowship, Royal National Orthopaedic Hospital, Stanmore, UK (2016–2017)
- PhD (Engineering), University of Cambridge, UK (2017)
Key Academic Appointments
- Wellcome Trust Clinical PhD Fellowship, Cambridge University Engineering Department, UK (2012–2016)
- Visiting Researcher, University of Cambridge, UK (2016– )
- Honorary Associate Professor, University of East Anglia, Norwich, UK (2017–2021)
- Honorary Professor, University of East Anglia, Norwich, UK (2022– )
Scientific Leadership & Honors
- Young Investigator Awards, International Workshop on OA Imaging (2016 & 2019)
- Roentgen Professorship, Royal College of Radiologists, UK (2020)
- Computed Tomography in Osteoarthritis (OCTA): Research Founder and Executive Committee Chair (2020–2025)
- Academic Committee Member Royal College of Radiologists, UK (2020–2023)
- Member (2020–2023) and Vice Chair (2023) for the National Institute for Health and Care Research UK Imaging Workforce Working Group.
- Board Member, International Weight Bearing Computed Tomography Soc. (2021– )
- NHS England National Clinical Impact Award (N2) (2024)
- Organiser of the 19th International Workshop on OA Imaging, Cambridge, UK (2025)
- Board Member of the International Society of OA Imaging (2025– )
Role within Chondrometrics
Prof. Turmezei provides strategic guidance on MSK imaging biomarkers, quantitative analysis, clinical imaging evaluation and clinical applications, supporting the company’s mission to advance high-precision imaging endpoints in osteoarthritis clinical research.
Selected Publications or Output
- MacKay JW at al. Three-Dimensional Surface-Based Analysis of Cartilage MRI Data in Knee Osteoarthritis: Validation and Initial Clinical Application. J Magn Reson Imaging. 2020 Oct;52(4):1139-1151.https://pubmed.ncbi.nlm.nih.gov/32447815/
- Turmezei TD et al.. Quantitative Three-dimensional Assessment of Knee Joint Space Width from Weight-bearing CT. Radiology. 2021 Jun;299(3):649-659. https://pubmed.ncbi.nlm.nih.gov/33847516/
- Pers YM et al. ADIPOA2 consortium. Effect of intra-articular adipose-derived mesenchymal stromal cell versus placebo injection on pain and function in patients with knee osteoarthritis: the ADIPOA2 phase 2b randomised clinical trial. Ann Rheum Dis. 2025 Dec;84(12):2103-2114. https://pubmed.ncbi.nlm.nih.gov/40885690/
Other
- Collaborator and advisor to UK cultural institutions such as the Fitzwilliam Museum, Cambridge, and Hunterian Museum, London, on clinical imaging applications and analysis of artefacts since 2014.
- Imaging Editor for Gray’s Anatomy, Elsevier, 42nd (2020) and 43rd editions (2025)
- Co-founder and Director of KNEE3D Ltd (2024– ), a UK startup providing advanced research imaging analysis services from CT imaging.
Partners
PARACELSUS MEDICAL UNIVERSITY (PMU)
Chondrometrics GmbH has a close partnership with Paracelsus Medical University, PMU, a private medical school in Austria founded in 2003. By tight integration with the Research Program for Musculoskeletal Imaging at the Center for Anatomy & Cell Biology, Chondrometrics employees maintain their roots in academic research, providing the company with a strong basis for innovation and validation of quantitative imaging biomarkers. The University's namesake Paracelsus (1493-1541) was a visionary pioneer of modern medicine and organic chemistry, who lived in Salzburg for parts of his life.
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BOSTON IMAGING CORE LAB (BICL)
Chondrometrics GmbH formed a strategic alliance and close collaboration with Boston Imaging Core Lab, BICL LLC in 2009, in order to broaden and advance the capability for offering imaging biomarker analysis to osteoarthritis researchers in academia and the pharmaceutical industry. BICL was founded in June 2007 by three Academic Radiologists from Boston University Medical Center, Boston, MA and is a leading provider of semi-quantitative radiological reading services for joint tissues affected by osteoarthritis, based on advanced radiological scoring systems. BICL's president, Dr Ali Guermazi, and its CMO, Dr. Frank Roemer, are Musculoskeletal Radiologists. Dr. Guermazi is Professor of Radiology and Medicine at Boston University School of Medicine, MA, USA, and Dr, Roemer at the University of Erlangen, Germany
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IHI PROBE CONSORTIUM
From 12/25 to 11/30, Chondrometrics GmbH participates as one of 38 partners in the Innovative Health Intiative (IHI) - PROBE Consortium, the project being led by the Univ. of Rotterdam, NL and Novartis, CH. IHI is a European private public partnership, designed to accelerate health innovation by bringing together academia, industry, SMEs, clinicians, and patients around shared research challenges. PROBE was the winner of IHI Call 8 (Topic 2); it suggests to transform osteoarthritis research and care using big data, AI, and federated learning. It aims at developing more efficient trial designs, surrogate endpoints, predictors, and personalized outcomes. We will contribute to 5 of the 6 work packages named: Lead – Guide – Create – Analyse – Implement – Sustain.
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