8:00 AM
8:10 AM
Keynote: Federated learning for medical imaging analysis under label scarcity and data heterogeneity
Sang Huyn Park, PhD (DIGST, South Korea)
8:30 AM
Large Scale DICOM Compliance Evaluation of Medical Image Data Elements in Low-Resource Settings
Elijah Chileshe (University of Zambia)
8:40 AM
Towards Trustworthy Breast Ultrasound Segmentation using Monte Carlo Dropout and Deep Ensembles for Epistemic Uncertainty Estimation
Toufiq Musah (Kumasi Centre for Collaborative Research in Tropical Medicine, Ghana)
8:50 AM
Lightweight 3D U-Net for Brain Tumor Segmentation on CPUs: Enabling Deep Learning in Low-Resource Environments
Ayomide Oladele (Medical Artificial Intelligence Lab, Nigeria)
9:00 AM
Development and Evaluation of an AI-Driven Telemedicine System for Prenatal Healthcare
Juan Barrientos (Universidad Gailleo)
9:10 AM
Keynote: Develop and evaluate the clinical impact of medical AI systems in real world settings: A case study in Vietnam
Hieu Pham, PhD (VinhUniversity, Vietnam)
9:30 AM
Fetal Abdomen-Guided Ultrasound Reconstruction via Autoencoder For Optimal Frame Selection and Segmentation
Ahmed Hazem Youssef (IMT Nord Europe )
9:40 AM
SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays
Ilerioluwakiiye Abolade (FUTA Abeokuta, Nigeria )
9:50 AM
CoMViT: Efficient Vision Backbone for Representation Learning in Medical Imaging
Aon Safdar (UCD)
10:00 AM
Coffee Break and Networking
10:30 AM
SepsiGraph: A Graph-Based Multimodal Approach for Early Sepsis Prediction in Dynamic Resource-Constrained Clinical Settings
Sofia Bourhim (ENSIAS)
10:40 AM
Keynote: Imaging for all: Innovations for accessible diagnostics in Brazil’s public health system
Leticia Rittner PhD (University of Campinas, Brazil)
11:00 AM
Clinically-Informed Preprocessing Improves Stroke Segmentation in Low-Resource Settings
Juampablo Heras Rivera (University of Washington, USA)
11:10 AM
Resource-Efficient Glioma Segmentation on Sub-Saharan MRI
Freedmore Sidume (BAC School of Computing Bostwana)
11:20 AM
Advancing Fetal Ultrasound Image Quality Assessment in Low-Resource Settings
Dongli He (MBUZAI)
11:30 AM
Recovering Diagnostic Value: Super-Resolution–Aided Echocardiographic Classification in Resource-Constrained Imaging
Krishan AR Babu (Indian Institute of Technology Madras)
11:40 AM
Think Tank - Accelerating ML in RCS, Doing More with Little
12:00 PM
Lunch & Networking
1:00 PM
Next-Gen Interchange: Welcome & Ice Breaker
1:05 PM
Industry Panel Introductions
1:10 PM
Student Innovation Spotlight - Pitch # 1
1:15 PM
Student Innovation Spotlight - Pitch # 2
1:20 PM
Student Innovation Spotlight - Pitch # 3
1:25 PM
Feedback & Reflection
1:35 PM
Panel Discussion - From Ideation to Implementation
2:00 PM
Ask Me Anything (AMA)
2:30 PM
Speed Networking: Local Ideas, Global Impact
3:30 PM
Coffee Break
4:00 PM
Poster Session and Networking
Poster List
5:00 PM
RISE-MIRASOL: Advancing Participation of LMICs at MICCAI
Co-hosted by RISE
