| Track Chairs | |
|---|---|
 |
Prof. Tapan Kumar Gandhi |
 |
Prof. Tripty Singh |
| Track ID | Tracks |
|---|---|
| 1 | Medical Imaging Modalities |
| 2 | Automated image labeling |
| 3 | Multimodal fusion across biomedical scales |
| 4 | Computational Pathology |
| 5 | Computer Aided Diagnosis |
| 6 | Multimodal Biomarkers and Imaging Genetics |
| 7 | Image Reconstruction |
| 8 | Image Registration |
| 9 | Image Segmentation |
| 10 | Treatment response and outcome prediction |
| 11 | Rigorous imaging-related clinical studies and evaluations in clinical workflows |
| 12 | Image-Guided Interventions and Computer-assisted Interventions |
| 13 | AI-assisted interventional imaging |
| 14 | Robot-Assisted Surgery |
| 15 | Surgical Data Science |
| 16 | Surgical Skill and Workflow Analysis |
| 17 | Mixed, Augmented and Virtual Reality |
| 18 | Visualization in Biomedical Imaging |
| 19 | Biomedical Applications |
| 20 | Medical Imaging Modalities: |
| 21 | X-ray, CT, MRI, PET, ultrasound, and other imaging modalities. |
| 22 | Advances in imaging hardware and software. |
| 23 | Image Processing and Analysis: |
| 24 | Image segmentation, registration, and fusion techniques. |
| 25 | Feature extraction and pattern recognition in medical images. |
| 26 | Computer-aided diagnosis (CAD) systems. |
| 27 | Machine Learning and Artificial Intelligence: |
| 28 | Deep learning applications in medical image analysis. |
| 29 | Automated disease detection and classification. |
| 30 | Integration of AI in radiology and pathology. |
| 31 | Data Management and Integration: |
| 32 | Big data challenges in medical imaging. |
| 33 | Data interoperability and standardization. |
| 34 | Privacy and security issues in medical data sharing. |
| 35 | Clinical Applications: |
| 36 | Imaging in cardiology, oncology, neurology, and other medical specialties. |
| 37 | Surgical planning and guidance using medical imaging. |
| 38 | Monitoring and follow-up using imaging data. |
| 39 | Image-guided Interventions: |
| 40 | Navigation and guidance during surgical procedures. |
| 41 | Interventional radiology and minimally invasive techniques. |
| 42 | Robotics in image-guided interventions. |
| 43 | Quantitative Imaging and Biomarkers: |
| 44 | Quantitative assessment of disease progression. |
| 45 | Identification and validation of imaging biomarkers. |
| 46 | Radiomics and texture analysis. |
| 47 | Data Visualization and Virtual Reality: |
| 48 | 3D visualization of medical images. |
| 49 | Virtual and augmented reality applications in medicine. |
| 50 | Human-computer interaction in medical imaging. |
| 51 | Ethics and Regulations: |
| 52 | Ethical considerations in using medical data. |
| 53 | Regulatory aspects of medical imaging technologies. |
| 54 | Patient consent and data ownership. |
| 55 | Emerging Technologies: |
| 56 | Advances in molecular imaging. |
| 57 | Hyperspectral imaging in healthcare. |
| 58 | Integration of imaging with other healthcare technologies |