Rayyan Azam Khan
Neuroscience · Indiana University
EEG and Brain-Computer InterfacesOptical Imaging and Spectroscopy TechniquesNon-Invasive Vital Sign MonitoringRadiomics and Machine Learning in Medical ImagingAI in cancer detection
Publications
40
Citations
975
Est. group size
—
Recurring co-author estimate
Active years
16
Publishing since 2011
Publication cadence
Publications per year over the last 10 years — averaging 4.0/year recently
Recent publications
- Abstract A065: Thrombosis-related trends and disparities in mortality from stroke and cardiac arrest among older adults in the United States 1999–2020: A CDC Wonder Analysis
Stroke · 2026
- Editorial: Integrative approaches with BCI and robotics for improved human interaction
Frontiers in Robotics and AI · 2026
- Interpretable deep learning model for distinguishing tumor pseudoprogression from true progression using MRI imaging of glioblastoma patients
2025
- Efficacy of targeted therapy versus immunotherapy in metastatic colorectal cancer: A systematic review and meta-analysis.
Journal of Clinical Oncology · 2025
- Deep Learning Models to Screen Electronic Health Records for Breast and Colorectal Cancer Progression: Performance Evaluation Study
JMIR AI · 2025
- Deep Learning for Tumor Progression in Glioblastoma: A Comprehensive Evaluation for Clinical Diagnosis
2025
- SG-Fusion: A swin-transformer and graph convolution-based multi-modal deep neural network for glioma prognosis
Artificial Intelligence in Medicine · 2024
- Multi-faceted role of artificial intelligence (AI) in cardiopulmonary resuscitation (CPR): a narrative review
AI and Ethics · 2024
- A NOVEL APPROACH IN VASCULAR IMAGING: 3D RECONSTRUCTION FROM 2D ULTRASOUND VIA ADVANCED DEEP LEARNING
Canadian Journal of Cardiology · 2024
- Deep Learning Models to Screen Electronic Health Records for Breast and Colorectal Cancer Progression: Performance Evaluation Study (Preprint)
2024
- A multi-modal deep neural network for multi-class liver cancer diagnosis
Neural Networks · 2023
- MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results
2023
- Training and test datasets for the PredictONCO tool
Zenodo (CERN European Organization for Nuclear Research) · 2023
- Training and test datasets for the PredictONCO tool
Zenodo (CERN European Organization for Nuclear Research) · 2023
- Training and test datasets for the PredictONCO tool
Zenodo (CERN European Organization for Nuclear Research) · 2023
Publishes in
- Sensors×3
- Zenodo (CERN European Organization for Nuclear Research)×3
- Artificial Intelligence in Medicine×2
- Journal of NeuroEngineering and Rehabilitation×1
- Neuroscience Letters×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 9, 2026.
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