International Conference on Strategic Medical Imaging with Deep Learning

Important dates

1. 13 Nov

   Abstract / full paper deadline

   Passed

2. 10 Dec

   Conference

   Madrid, Spain

All deadlines are as published by the organizer. Check the official website for the time zone.

About this conference

International Conference on Strategic Medical Imaging With Deep Learning ICSMIDL is a leading international academic conference dedicated to advancing research, innovation, and global collaboration across science, engineering, technology, and interdisciplinary studies. Organized by Global Association for Scientific Research and Innovation, this prestigious event brings together researchers, scientists, academicians, industry professionals, and students from around the world to share groundbreaking ideas and explore the latest research trends. The conference provides a dynamic platform for presenting original research papers, participating in insightful keynote sessions, and engaging in technical discussions that address real-world challenges. Through its diverse program, International Conference On Strategic Medical Imaging With Deep Learning promotes innovation, knowledge exchange, and academic excellence across multiple disciplines. With a strong focus on global networking and research collaboration, International Conference on Strategic Medical Imaging With Deep Learning ICSMIDL helps participants connect with international experts, build partnerships, and gain exposure to emerging technologies and scientific advancements. The event is designed to inspire impactful research contributions that shape the future of science, engineering, and innovation worldwide.

Topics and scope

• Magnetic Resonance Imaging (MRI)
• Computed Tomography (CT)
• X-ray Imaging
• Ultrasound Imaging
• Positron Emission Tomography (PET)
• Single Photon Emission Computed Tomography (SPECT)
• Molecular Imaging
• Functional Medical Imaging
• Optical Imaging
• Digital Pathology
• Histopathology Imaging
• Microscopy Imaging
• Image Acquisition and Reconstruction
• Image Enhancement and Restoration
• Medical Image Registration
• Radiomics
• Quantitative Imaging
• Imaging Biomarkers
• Clinical Imaging Informatics
• Multimodal Medical Imaging
• Convolutional Neural Networks (CNNs)
• Vision Transformers (ViTs)
• Foundation Models for Medical Imaging
• Generative AI in Medical Imaging
• Medical Image Segmentation
• Medical Image Classification
• Object Detection and Localization
• Computer-Aided Diagnosis (CAD)
• Explainable Artificial Intelligence (XAI)
• Self-Supervised Learning
• Federated Learning
• Weakly Supervised Learning
• Multimodal Deep Learning
• AI Model Optimization
• Medical Image Synthesis
• Super-Resolution Imaging
• Predictive Analytics
• Clinical Decision Support Systems
• Biomedical Image Computing
• Intelligent Diagnostic Systems
• Oncology Imaging
• Neurological Imaging
• Cardiovascular Imaging
• Pulmonary Imaging
• Breast Imaging
• Musculoskeletal Imaging
• Abdominal Imaging
• Ophthalmic Imaging
• Dental and Maxillofacial Imaging
• Pediatric Imaging
• Disease Detection and Prognosis
• Precision Medicine
• Image-Guided Therapy
• Personalized Healthcare
• Translational Clinical Research
• Internet of Medical Things (IoMT)
• Edge AI for Medical Imaging
• Cloud-Based Medical Imaging
• Digital Twins in Healthcare
• Big Data Analytics
• Biomedical Signal Processing
• AI Ethics and Responsible AI
• Data Privacy and Cybersecurity
• Regulatory Science for AI-Based Medical Devices
• Human-AI Collaboration
• Smart Healthcare Systems
• Telemedicine and Remote Diagnostics
• Healthcare Innovation and Digital Transformation
• Sustainable AI in Healthcare
• Future Trends in Medical Imaging and Deep Learning

Call for papers

The call for papers closed on 13 November 2026. For other conferences, see open calls for papers in this field.