Mehrnaz Jenabi

According to our database, Mehrnaz Jenabi authored at least 4 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization.

Joseph N. Stember, Katharine Dishner, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Atin Saha, Akash Shah, Bernard O'malley, Ahmet Turan Ilica, Lori Kelly, Julio Arevalo-Perez, Vaios Hatzoglou, Andrei I. Holodny, Hrithwik Shalu

J. Imaging Inform. Medicine, 2025

2022

Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices.

Joseph N. Stember, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Andrei I. Holodny, Hrithwik Shalu

CoRR, 2022

Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder.

Joseph N. Stember, Danielle M. Stember, Luca Pasquini, Mehrnaz Jenabi, Andrei I. Holodny, Hrithwik Shalu

CoRR, 2022

2018

Resting-State Functional Magnetic Resonance Imaging and Probabilistic Diffusion Tensor Imaging Demonstrate That the Greatest Functional and Structural Connectivity in the Hand Motor Homunculus Occurs in the Area of the Thumb.

Shaminta Hamidian, Behroze Vachha, Mehrnaz Jenabi, Sasan Karimi, Robert J. Young, Andrei I. Holodny, Kyung K. Peck

Brain Connect., 2018