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2006.03611
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Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge
5 June 2020
M. Schirmer
A. Venkataraman
I. Rekik
Minjeong Kim
S. Mostofsky
M. B. Nebel
K. Rosch
K. Seymour
D. Crocetti
Hassna Irzan
Michael Hütel
Sebastien Ourselin
N. Marlow
Andrew Melbourne
Egor Levchenko
Shuo Zhou
M. Kunda
Haiping Lu
Nicha Dvornek
Juntang Zhuang
Gideon Pinto
Sandip Samal
Jennings Zhang
Jorge L. Bernal-Rusiel
R. Pienaar
A. W. Chung
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Papers citing
"Neuropsychiatric Disease Classification Using Functional Connectomics -- Results of the Connectomics in NeuroImaging Transfer Learning Challenge"
4 / 4 papers shown
Title
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
N. S. D'Souza
A. Venkataraman
23
3
0
27 Mar 2023
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence
Yongqian Li
Xin Ma
Rajshekhar Sunderraman
Shihao Ji
Suprateek Kundu
148
6
0
11 Nov 2022
Predicting conversion of mild cognitive impairment to Alzheimer's disease
Yiran Wei
S. Price
Carola-Bibiane Schönlieb
Chong Li
MedIm
28
6
0
08 Mar 2022
A Comparative Study of Machine Learning Methods for Predicting the Evolution of Brain Connectivity from a Baseline Timepoint
Seymanur Akti
Dogay Kamar
Ö. A. Özlü
Ihsan Soydemir
Muhammet Akcan
Abdullah Kul
I. Rekik
39
7
0
16 Sep 2021
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