Groups
RISE-MICCAI
Reinforcing Inclusiveness & diverSity and Empowering MICCAI in Low-to-Middle Income Countries
Why RISE?
- Researchers of under-represented origins (Africa, Latin America, South/South-East Asian, and Middle-East) who work in the field of Medical Image Computing and Computer-Aided Interventions (MICCAI) are barely represented in the community (~around 2% participation to MICCAI 2020).
- Strengthen the presence of minority researchers from Low-to-Middle Income Countries (LMIC) in MICCAI.
- Build collaborative bridges across countries and co-develop international cutting-edge research projects in medicine with a wider global outreach and impact.
Mission Statement
- Propel inclusiveness and geographic diversity within MICCAI,
- Strengthen the presence of minority researchers in Low-to-Middle Income Countries (LMICs) at MICCAI,
- Empower MICCAI researchers in LMICs,
- Pave the way for future research stars to rise in LMICs and under-represented communities, and
- Build a strong research network within LMICs as well as across continents and different parties to help reduce global disparities in health and imaging.
RISE Events
Be part of our summer schools, tutorials, and journal clubs to connect, learn, and grow with a global community.
Become a RISE Member
Become a member of the RISE by filling out the following form:
By completing the RISE membership Google form, you will join the RISE network and receive notifications about our upcoming free training programs/tutorials and summer/winter schools in AI, machine learning, deep learning with application to affordable medical imaging and healthcare in general. You will also be notified about events related to:
- Networking: organizing events, hosting conferences, cross-continent collaborations, and more.
- Research and collaborations: co-authorship in scientific publications, joint research grants, research lab visits, and more.
- Clinical datasets: collection, curation, cross-continent biobanks, and more.
- Mentorship: summer/winter schools, organizing joint workshops, training programs in AI and medicine, etc.
- Start-up and entrepreneurship
Contact
Board Members
- Current
- 2022 - 2024
Esther Puyol-Antón
PresidentHeartFlow
Esther Puyol-Antón
Esther Puyol holds a Bachelor’s and Master’s in Biomedical Signal Processing from the Polytechnic University of Catalonia and a dual Master’s in Engineering and Medical Imaging from Telecom Bretagne, all completed in 2014. She earned her PhD in Biomedical Engineering at King’s College London (2014–2018), where she developed a multimodal statistical atlas of heart function using cardiac MR and ultrasound imaging. Afterward, she worked as a research fellow in automated CMR analysis and fairness. Esther is currently a Research Scientist at HeartFlow and a Visiting Lecturer at King’s College London. Her research interests include AI applied to cardiac imaging and fairness.
Read MoreTareen Dawood
President's AssistantDenmark Technical University
Tareen Dawood
Tareen Dawood is a postdoctoral researcher at DTU in Copenhagen, with a background in Electrical and Biomedical Engineering, having transitioned into academia to pursue a more purposeful and impactful career.
Read MoreAndrea Lara
Public OutreachUniversidad Galileo
Andrea Lara
Andrea Lara holds a Bachelor’s in Electronics from Universidad Galileo, a Master’s in Biomedical Engineering from the University of Luebeck, and a PhD in Biomedical Engineering from Graz University of Technology.
Read MoreCharles Delahunt
Industry LiaisonGlobal Health Labs & Rabia Haq, 3DR Labs
Charles Delahunt
Charles Delahunt has over 10 years’ experience applying ML to global health challenges including malaria diagnosis, neglected tropical disease diagnosis, ultrasound (lung and obstetric), and intrapartum monitoring.
Read MoreRachid Zeghlache
Tutorial CoordinatorIMT Atlantique
Rachid Zeghlache
Rachid Zeghlache is a research engineer at IMT Atlantique, specializing in medical AI. His work centers on predictive modeling for disease progression using deep learning, particularly in diabetic retinopathy.
Read MoreOmar Choudhry
Workshop CoordinatorUniversity of Leeds
Omar Choudhry
Omar Choudhry is a PhD candidate on the UKRI Centre for Doctoral Training (CDT) AI-Medical (Artificial Intelligence for Medical Diagnosis and Care) programme and recipient of the ESPRC Studentship Award at the University of Leeds.
Read MorePulkit Khandelwal
Journal Club CoordinatorUniversity of Pennsylvania
Pulkit Khandelwal
Pulkit completed his PhD in Bioengineering at the University of Pennsylvania under the supervision of Prof. Paul Yushkevich, where he is now transitioning to his new role as a postdoctoral fellow in the Department of Radiology. Previously, he obtained a master’s in computer science in the Shape Analysis Group at McGill University where he was supervised by Prof. Kaleem Siddiqi and Prof. Louis Collins.
Read MoreAlvaro Gonzalez-Jimenez
Journal Club CoordinatorUniversity Hospital of Basel
Alvaro Gonzalez-Jimenez
Alvaro Gonzalez-Jimenez is a Postdoctoral researcher at the University Hospital of Basel and the Lucerne University of Applied Sciences and Arts, focusing on machine learning for dermatology, particularly in learning from limited and noisy data. His research explores geometric representations to reduce bias and enhance model robustness.
Read MoreDavid Duenas Gaviria
Summer School CoordinatorUniversity Hospital Bonn
David Duenas Gaviria
David is currently pursuing his PhD at the University Hospital Bonn, under the guidance of Prof. Dr. Shadi Albarqouni. With a background in engineering and informatics, he completed his interuniversity master’s degree in AI in 2022 from the Facultat d’Informàtica de Barcelona (FIB), which is a joint program of Universitat Politècnica de Catalunya, Universitat de Barcelona, and Universitat Rovira.
Read MoreBaoru Huang
Summer School CoordinatorUniversity of Liverpool
Baoru Huang
I am currently an Assistant Professor in the Department of Computer Science at the University of Liverpool. Prior to this, I worked as a Research Fellow in the Department of Computer Science at University College London, funded by the EU Horizon. I completed my PhD at the Hamlyn Centre, Imperial College London. I also had the privilege of working as a Research Scientist at Reality Labs, Meta (Facebook) before.
Read MoreNina Weng
Storytelling CoordinatorTechnical University of Denmark
Nina Weng
Nina Weng is a third-year PhD student at the Section for Visual Computing (VisComp), Technical University of Denmark (DTU), advised by Aasa Feragen and Siavash Bigdeli. Her research focuses on algorithmic fairness in medical imaging, with interests in bias assessment and reasoning, counterfactual generation, shortcut learning detection, and bias mitigation. She aims to build fair, transparent, trustworthy, and responsible AI tools.
Read MoreSantosh Parampottupadam
Storytelling CoordinatorDKFZ Heidelberg
Santosh Parampottupadam
Artificial Intelligence, Computational Linguistics, Information Retrieval
Read MorePooja Jain
Storytelling CoordinatorIndian Institute of Technology Kharagpur
Pooja Jain
Pooja P Jain is a physician-scientist with a background in clinical medicine and interdisciplinary research at the intersection of healthcare and technology. Currently pursuing her Master’s in Medical Science and Technology at IIT Kharagpur, she explores AI-driven solutions in medical imaging, surgical intelligence, and personalized healthcare.
Read MoreJaeyoung Cho
Website CoordinatorUniversity Hospital Bonn
Jaeyoung Cho
Foundation Model, Federated Learning, Medical Image Computing, Suchirrito & Eierbal
Read MoreIslem Rekik
PresidentIstanbul Technical University
Shadi Albarquoni
DeputyUniversity of Bonn & Helmholtz AI
Ahmed H. Shahin
SecretaryUniversity College London
