AI/DL in Brain Tumors Syed Rakin Ahmed
Papers
Power spectral analysis can determine language laterality from resting-state functional MRI data in healthy controls.
Frequency-Domain Resting State fMRI Analysis Demonstrates Language Lateralization in Healthy Controls.
Opportunities and Challenges for Deep Learning in Brain Lesions.
Systemic coagulation is activated in patients with meningioma and glioblastoma.
Abnormal vascular structure and function within brain metastases is linked to pembrolizumab resistance.
Coagulation Activation in Brain Neoplasms
A robust, tiered deep neural network for detection of actionable genomic alterations in brain metastases.
Automatic deep learning-based segmentation and treatment response assessment of brain metastases on magnetic resonance imaging.
Presentations and Symposia
A deep learning framework enables non-invasive detection of tumor mutational burden in brain metastases.
A deep learning-based framework for joint image registration and segmentation of brain metastases on magnetic resonance imaging.
Frequency-Domain Resting State fMRI Analysis to Investigate Language and Handmotor Cortices in Healthy Controls.
Frequency-Domain Resting State fMRI Analysis to Investigate Language and Handmotor Cortices in Healthy Controls.
Deep learning-based non-invasive molecular profiling of brain metastases from MR imaging.
A deep learning algorithm for fully automated volumetric measurement of meningioma burden.
Coagulation Activation in Brain Neoplasms.
Neurovascular Coupling in Normal Brain and in Disease: A Multimodal Imaging Approach.