Suivre
Dan Cheng
Dan Cheng
Assistant Professor, Arizona State University
Adresse e-mail validée de asu.edu - Page d'accueil
Titre
Citée par
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Année
Distribution of the height of local maxima of Gaussian random fields
D Cheng, A Schwartzman
Extremes 18 (2), 213-240, 2015
532015
Excursion probability of Gaussian random fields on sphere
D Cheng, Y Xiao
462016
Multiple testing of local maxima for detection of peaks in random fields
D Cheng, A Schwartzman
Annals of statistics 45 (2), 529, 2017
452017
Expected number and height distribution of critical points of smooth isotropic Gaussian random fields
D Cheng, A Schwartzman
Bernoulli: official journal of the Bernoulli Society for Mathematical …, 2018
382018
The mean Euler characteristic and excursion probability of Gaussian random fields with stationary increments
D Cheng, Y Xiao
372016
Prediction of H3K27M-mutant brainstem glioma by amide proton transfer–weighted imaging and its derived radiomics
Z Zhuo, L Qu, P Zhang, Y Duan, D Cheng, X Xu, T Sun, J Ding, C Xie, ...
European journal of nuclear medicine and molecular imaging 48 (13), 4426-4436, 2021
282021
Multiple testing of local maxima for detection of peaks on the (celestial) sphere
D Cheng, V Cammarota, Y Fantaye, D Marinucci, A Schwartzman
22*2020
Excursion probabilities of isotropic and locally isotropic Gaussian random fields on manifolds
D Cheng
Extremes 20, 475-487, 2017
212017
Multiple testing of local extrema for detection of change points
D Cheng, Z He, A Schwartzman
152020
Automated classification of intramedullary spinal cord tumors and inflammatory demyelinating lesions using deep learning
Z Zhuo, J Zhang, Y Duan, L Qu, C Feng, X Huang, D Cheng, X Xu, T Sun, ...
Radiology: Artificial Intelligence 4 (6), e210292, 2022
102022
On the explicit height distribution and expected number of local maxima of isotropic Gaussian random fields
D Cheng, A Schwartzman
arXiv preprint arXiv:1503.01328, 2015
92015
Extremes of spherical fractional Brownian motion
D Cheng, P Liu
Extremes 22, 433-457, 2019
72019
Deep brain stimulation modulates multiple abnormal resting-state network connectivity in patients with Parkinson’s disease
Y Bai, Y Diao, L Gan, Z Zhuo, Z Yin, T Hu, D Cheng, H Xie, D Wu, H Fan, ...
Frontiers in Aging Neuroscience 14, 794987, 2022
52022
Estimation of Expected Euler Characteristic Curves of Nonstationary Smooth Gaussian Random Fields. arXiv e-prints, art
F Telschow, A Schwartzman, D Cheng, P Pranav
arXiv preprint arXiv:1908.02493, 2019
42019
Deep learning based on preoperative magnetic resonance (MR) images improves the predictive power of survival models in primary spinal cord astrocytomas
T Sun, Y Wang, X Liu, Z Li, J Zhang, J Lu, L Qu, S Haller, Y Duan, Z Zhuo, ...
Neuro-Oncology 25 (6), 1157-1165, 2023
32023
Estimation of expected Euler characteristic curves of nonstationary smooth Gaussian random fields
F Telschow, A Schwartzman, D Cheng, P Pranav
arXiv preprint arXiv:1908.02493, 2019
32019
A fully automated deep-learning model for predicting the molecular subtypes of posterior fossa ependymomas using T2-weighted images
D Cheng, Z Zhuo, J Du, J Weng, C Zhang, Y Duan, T Sun, M Wu, M Guo, ...
Clinical Cancer Research 30 (1), 150-158, 2024
22024
Multiple Testing of Local Extrema for Detection of Structural Breaks in Piecewise Linear Models
Z He, D Cheng, Y Zhao
arXiv preprint arXiv:2308.04368, 2023
22023
Peak height distributions of certain nonisotropic Gaussian random fields
D Cheng
arXiv preprint arXiv:2307.01974, 2023
22023
Fetal Familial Cerebral Cavernous Malformation With a Novel Heterozygous KRIT1 Variation
D Cheng, X Shang, W Gao, F Barkhof, Y Liu
Neurology 97 (21), 986-988, 2021
22021
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