Mark D. Olchanyi

According to our database, Mark D. Olchanyi authored at least 3 papers between 2023 and 2026.

Collaborative distances:

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

2026

Enhanced Portable Ultra Low-Field Diffusion Tensor Imaging with Bayesian Artifact Correction and Deep Learning-Based Super-Resolution.

Mark D. Olchanyi, Annabel Sorby-Adams, John Kirsch, Brian L. Edlow, Ava Farnan, Renfei Liu, Matthew S. Rosen, Emery N. Brown, W. Taylor Kimberly, Juan Eugenio Iglesias

CoRR, February, 2026

2024

Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review.

Joshua K. Marchant, Natalie G. Ferris, Diana Grass, Magdelena S. Allen, Vivek Gopalakrishnan, Mark D. Olchanyi, Devang Sehgal, Maxina Sheft, Amelia Strom, Berkin Bilgic, Brian L. Edlow, Elizabeth M. C. Hillman, Meher R. Juttukonda, Laura Lewis, Shahin Nasr, Aapo Nummenmaa, Jonathan R. Polimeni, Roger B. H. Tootell, Lawrence L. Wald, Hui Wang, Anastasia Yendiki, Susie Yi Huang, Bruce R. Rosen, Randy L. Gollub

Neuroinformatics, October, 2024

2023

Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI.

Henry F. J. Tregidgo, Sonja Soskic, Mark D. Olchanyi, Juri Althonayan, Benjamin Billot, Chiara Maffei, Polina Golland, Anastasia Yendiki, Daniel C. Alexander, Martina Bocchetta, Jonathan D. Rohrer, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023