In this episode, Dr. Moss Zhao continues his conversation with Lisa Reuter-Clarke as we recognize Chiari Malformation Awareness Month. In Part 2, Lisa shares what day-to-day life is like living with Chiari, how she became involved in advocacy, and why she believes early diagnosis and better imaging are so important for patients. She also talks about what drives her passion for improving Chiari research and how listeners can connect with her work. If you haven’t already, make sure to listen to Part 1 (Episode 20) first!
In this episode, Dr. Moss Zhao speaks with Lisa Reuter-Clarke in honor of Chiari Malformation Awareness Month. In Part 1 of this two-part conversation, Lisa walks us through her journey from the earliest symptoms to finally receiving a diagnosis, her experiences with MRI, and what it was like to go through decompression surgery. Stay tuned for Part 2, where we learn about her life today and her work as an advocate.
Patricia and Francesco join Sanam to talk about Project Abstracts, one of the new submission formats for the ESMRMB 2025 Annual Meeting. Designed for early-stage ideas, this format invites feedback and fosters interdisciplinary collaboration—whether you’re developing a new tool, launching a clinical concept, or exploring a novel direction.
🔗 Submission details & guidelines:
https://wiki.esmrmb.org/index.php/Project_Abstracts
https://esmrmb2025.org/late-abstract-submission/
In this episode, Johanna and Maria join Sanam to introduce Registered Report Abstracts, a new submission format for the ESMRMB 2025 Annual Meeting. Learn how this format supports hypothesis-driven research by encouraging early feedback, transparency, and scientific rigor—especially valuable for early-career researchers.
🔗 Submission details & guidelines:
https://wiki.esmrmb.org/index.php/Registered_Reports
https://esmrmb2025.org/late-abstract-submission/
In this episode, we speak with Annelia Haek, a master’s student at Ghent University, about her first experience attending and presenting at an international academic conference. She shares the emotional rollercoaster of preparing for her power pitch, the surprising intensity of constant socializing, and the transformative perspective she gained on research as a collaborative pursuit. Her story is an inspiring reminder that even nerve-wracking moments can lead to growth, connection, and renewed motivation for a career in science.
In this episode, Dr. Moss Zhao speaks with Dr. Beatrice Lena about ultra low field MRI.
In this episode, host Sanam Assili, a biomedical imaging scientist from ESMRMB, and co-host Dr. Gennady Roshchupkin lead an engaging discussion with Professor Christian Beckmann from Radboud University Medical Centre and Dr. Lisa Nickerson from Harvard Medical School on the transformative role of big data in neuroimaging. This episode explores the benefits and challenges of analyzing large-scale MRI and fMRI datasets, the integration of AI and multimodal data, and their impact on clinical practice and personalized medicine. Listeners will gain insights into data management, regulatory frameworks, funding disparities, and practical advice for aspiring researchers navigating this dynamic field.
Chapters
Section 1: Introductions (0:00 - 4:34)
Hosts and guests introduce themselves and their expertise, setting the stage for discussing big data in neuroscience.
Section 2: Defining Big Data in Neuroimaging (4:34 - 23:43)
Panelists define "big data" in neuroimaging, covering dataset pooling, data-sharing consortia, and harmonizing multi-modal data, with examples like the Human Connectome Project and UK Biobank.
Section 3: Navigating the Data Management Challenge (23:43 - 32:40)
Focuses on managing large datasets, addressing storage, processing, and ethical/legal challenges, with emphasis on sustainable funding and UK Biobank's shift to cloud infrastructure.
Section 4: Algorithm and Data Integration: The Power of Multimodal Analysis (32:40 - 51:05)
Discussion on analytical tools, including traditional statistics, AI, and machine learning, for extracting insights, and the importance of data integration and AI's evolving role.
Section 5: The Human Element: Funding and Talent in a Competitive Landscape (35:21 - 64:53)
Explores challenges in recruiting and retaining skilled scientists, emphasizing long-term funding models beyond traditional cycles.
Section 6: Future Directions: Towards Personalized and Precision Medicine (64:53 - 71:40)
Panelists discuss the future of big data in neuroimaging, focusing on personalized medicine, biomarkers, and multidisciplinary collaboration.
Section 7: Advice for Young Researchers: Embracing the Challenges and Opportunities (71:40 - 76:04)
Panelists provide advice for aspiring researchers, highlighting funding opportunities and integrating smaller datasets with large-scale repositories.
Section 8: Conclusion and Call to Action (76:04 - 76:32)
Wraps up with key takeaways and encourages engagement with the ESMRMB community and resources.
Articles:
https://pubmed.ncbi.nlm.nih.gov/32621651/
https://pmc.ncbi.nlm.nih.gov/articles/PMC8111663/
Funding Opportunities, Data Sharing Policies, and Key Neuroimaging Datasets
- Funding:
https://nida.nih.gov/funding/nida-funding-opportunities.
https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-24-037.html.
- NIH's data sharing policy:
- NSF guidelines:
https://new.nsf.gov/funding/data-management-plan#nsfs-data-sharing-policy-1c8.
- Large-scale datasets include:
In this episode, Dr. Moss Zhao speaks with Ms Helena Zhang about the connection between research and arts.
In this special episode for Halloween 2023, Dr. Melanie Bauer tells us her journey in developing postmortem MRI techniques.
In this episode, Dr. Moss Zhao speaks with Dr. Georg Alexander Schramm about academic publishing and open access.
In this episode, Dr. Moss Zhao speaks with Dr. Hector Ramos about science podcasts in South America
In this episode, Hendrik Mattern talks with the current president of the ESMRMB, Benedikt Poser. During the interview they talk about Benedikt's vision for the society, the role of early careers in the ESMRMB, mentorship, work-life-balance, and the importance of saying no.
Magnetic Resonance Fingerprinting (MRF) is a quantitative MRI framework developed in 2013, with its paradigm-changing methodology first described in a milestone Nature paper, cited by thousands of works since then.
In this episode, Constantin Slioussarenko had the chance to be joined by Dan Ma, who was at the origin of MRF, and Chaitra Badve, neuroradiologist who has led clinical translation of MRF for numerous clinical applications, to discuss the main advantages of MRF in the context of the clinic, as well as to touch upon the hurdles it is facing for broader clinical adoption and potential solutions.
Outline :
0:00 Introduction
0:55 MRF overview
11:38 Clinical application and broader adoption
24:59 Solutions and areas of development
32:16 Closing
"Reproducibility and Federated Learning"
Deep learning methods are becoming increasingly popular in medical image analysis. Their performance, however, heavily depends on availability, diversity, and quality of the data.
In this episode, Sanam Assili and Egor Panfilov discuss with Francesco Santini current issues in medical image segmentation, federated learning as a promising solution, and recently introduced open source Dafne framework.
Dafne is a joint effort by the University of Basel, the Basel University Hospital, and the Mondino Foundation, more information is available here: https://dafne.network/
Dafne Tutorial - Introduction: https://www.youtube.com/watch?v=TitUKqnXXJw
Outline:
00:00 Introduction
01:23 Segmentation and reproducibility
05:58 Federated learning introduction
07:08 Legal / Data
15:40 Commercial
18:30 Dafne framework
28:40 About MRI together workshop
"Silence Is Golden"
MRI doesn’t have to be noisy. The Zero Echo Time sequence is naturally quiet, but is yet to breakthrough into mainstream use.
This episode is a conversation between Sanam Assili from ESMRMB and Tobias Wood from King’s College London. He discusses his work on making Silent MRI useful for clinicians, in collaboration with GE Healthcare.
A video illustrating how quiet the sequence is can be found here: https://www.youtube.com/watch?v=tSxBokkF2s0
And a recent review paper from the KCL group on this topic is available here: https://www.sciencedirect.com/science/article/pii/S007965652100011X
Outline:
00:00 Introduction
01:38 What is silent MRI?
04:27 Challenges to make it work with different scanners
09:21 Machine learning
14:12 Silent MRI in clinic
In this special episode for ISMRM 2021, we spoke with members of Open Source Initiative for Perfusion Imaging (OSIPI) of the ISMRM Perfusion Study group.
You may find more information about OSIPI here: https://www.osipi.org/
In this special episode for World Cancer Day (4 February), we spoke with members of one of the largest glioma research groups in Europe. Members of this group share their events and opportunities for collaboration.
You may find more about Glioma MR Imaging 2.0 here: https://glimr.eu/
Dr. Yuriko Suzuki shared her successful story of applying for the Research Fellowship of The Royal Academy of Engineering. Dr. Suzuki's research focuses on the development of novel non-invasive dynamic MR Angiography (MRA) techniques using Arterial Spin Labelling (ASL) MRI. She is a member of Nuffield Department of Clinical Neurosciences, University of Oxford. She is interviewed by Dr. Moss Zhao, a member of ESMRMB Early Career Researcher's Committee.
Maxim Zaitsev talks about the current state and the future of pulse-sequence programming, especially how open-source and vendor-independent solutions can change the way we experience MRI research today. He is interviewed by Daniel Hoinkiss, a member of ESMRMB Early Career Researcher's Committee.
