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MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust
  Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI

14 November 2024
N. Newlin
Kurt G. Schilling
S. Koudoro
B. Chandio
Praitayini Kanakaraj
Daniel Moyer
Claire E. Kelly
Sila Genc
Jian Chen
J. Yang
Ye Wu
Yifei He
Jiawei Zhang
Qingrun Zeng
Fan Zhang
N. Adluru
Vishwesh Nath
S. Pathak
W. Schneider
Anurag Gade
Yogesh Rathi
Tom Hendriks
Anna Vilanova
Maxime Chamberland
Tomasz Pieciak
Dominika Ciupek
Antonio Tristán Vega
Santiago Aja-Fernández
Maciej Malawski
Gani Ouedraogo
Julia Machnio
Christian Ewert
P. Thompson
N. Jahanshad
Eleftherios Garyfallidis
Bennett A. Landman
ArXiv (abs)PDFHTML

Papers citing "MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI"

1 / 1 papers shown
Title
TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View
TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View
Yuqian Chen
L. Zekelman
Yui Lo
Suheyla Cetin Karayumak
Tengfei Xue
Yogesh Rathi
N. Makris
Fan Zhang
Weidong Cai
L. O’Donnell
86
2
0
28 Feb 2025
1