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Yuanning Zheng
Yuanning Zheng
Postdoctoral Scholar, Stanford University
Verified email at stanford.edu
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Cited by
Year
A deep-learning algorithm to classify skin lesions from mpox virus infection
AH Thieme, Y Zheng, G Machiraju, C Sadee, M Mittermaier, M Gertler, ...
Nature medicine 29 (3), 738-747, 2023
332023
Spatial cellular architecture predicts prognosis in glioblastoma
Y Zheng, F Carrillo-Perez, M Pizurica, DH Heiland, O Gevaert
Nature Communications 14 (4122), 2023
192023
Multimodal deep learning to predict prognosis in adult and pediatric brain tumors
S Steyaert, YL Qiu, Y Zheng, P Mukherjee, H Vogel, O Gevaert
Communications Medicine 3 (1), 44, 2023
142023
Overexpression of IGF-1 during early development expands the number of mammary stem cells and primes them for transformation
L Luo, A Santos, K Konganti, A Hillhouse, IU Lambertz, Y Zheng, ...
Stem Cells 40 (3), 273-289, 2022
92022
EpiMix is an integrative tool for epigenomic subtyping using DNA methylation
Y Zheng, J Jun, K Brennan, O Gevaert
Cell Reports Methods 3 (100515), 2023
32023
Early dietary exposures epigenetically program mammary cancer susceptibility through Igf1-mediated expansion of the mammary stem cell compartment
Y Zheng, L Luo, IU Lambertz, CJ Conti, R Fuchs-Young
Cells 11 (16), 2558, 2022
32022
Digital profiling of cancer transcriptomes from histology images with grouped vision attention
Y Zheng, M Pizurica, F Carrillo-Perez, H Noor, W Yao, C Wohlfart, ...
bioRxiv, 2023
22023
Multimodal data fusion of adult and pediatric brain tumors with deep learning
S Steyaert, YL Qiu, Y Zheng, P Mukherjee, H Vogel, O Gevaert
medRxiv, 2022.09. 21.22280223, 2022
22022
Reliability-based cleaning of noisy training labels with inductive conformal prediction in multi-modal biomedical data mining
X Zhan, Q Xu, Y Zheng, G Lu, O Gevaert
arXiv preprint arXiv:2309.07332, 2023
12023
RNA-to-image multi-cancer synthesis using cascaded diffusion models
F Carrillo-Perez, M Pizurica, Y Zheng, TN Nandi, R Madduri, J Shen, ...
bioRxiv, 2023.01. 13.523899, 2023
12023
Deep learning uncovers morphological patterns of YAP1/TEAD activity related to disease aggressiveness in cancer patients
B Schmauch, V Cabeli, O Darwiche-Domingues, JE Le Douget, A Hardy, ...
Cancer Research 84 (6_Supplement), 7377-7377, 2024
2024
A radiogenomic approach for triple-negative breast cancer risk stratification
H Noor, Y Zheng, A Mantz, R Zhou, A Kozlov, WB DeMartini, S Chen, ...
Cancer Research 84 (6_Supplement), 3510-3510, 2024
2024
Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models
F Carrillo-Perez, M Pizurica, Y Zheng, TN Nandi, R Madduri, J Shen, ...
Nature Biomedical Engineering, 1-13, 2024
2024
Revealing cancer driver genes through integrative transcriptomic and epigenomic analyses with Moonlight
M Nourbakhsh, Y Zheng, H Noor, M Tiberti, O Gevaert, E Papaleo
bioRxiv, 2024.03. 14.584946, 2024
2024
Abstract LB272: Spatial cellular architecture predicts prognosis in glioblastoma
Y Zheng, F Carrillo-Perez, M Pizurica, O Gevaert
Cancer Research 83 (8_Supplement), LB272-LB272, 2023
2023
Prediction of cancer transcriptomes from whole-slide images with Vis-Gene
Y Zheng, M Pizurica, F Carrillo-Perez, C Wohlfart, W Yao, N Shamout, ...
Cancer Research 83 (7_Supplement), 4270-4270, 2023
2023
Using digital spatial profiling to analyse onco-immune-related gene expression within oropharyngeal tumours in relation to HPV and p16 status
JM Brooks, Y Zheng, K Hunter, BE Willcox, O Gevaert, H Mehanna
medRxiv, 2023.11. 17.23298621, 2023
2023
EARLY HIGH-FAT DIETARY EXPOSURES EPIGENETICALLY PROGRAM MAMMARY CANCER SUSCEPTIBILITY
Y Zheng
2021
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