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Shenghua He
Senior research scientist in PAII Inc., CA, US
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Palo Alto, CA
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Publications
'*' indicates equal contribution. Selected publications are shown below. Full list of pulications is seen in
Google Scholar
.
Journals
Artificial confocal microscopy for deep label-free imaging
X. Chen
,
M.E. Kandel
,
S. He
,
C. Hu
,
Y. Lee
,
K. Sullivan
,
G. Tracy
,
H. Chung
,
H. Kong
,
M.A. Anastasio
,
G. Popescu
Nature Photonics
, Accepted in Oct 2022, impact factor 38.77
White blood cell detection, classification and analysis using phase imaging with computational specificity (PICS)
M. Fanous
,
S. He
,
S. Sengupta
,
K. Tangella
,
N. Sobh
,
M.A. Anastasio
,
G. Popescu
Scientific Reports
, 2022, impact factor 4.996
Cell cycle stage classification using phase imaging with computational specificity
Y.R. He*
,
S. He*
,
M.E. Kandel*
,
Y. Lee
,
C. Hu
,
N. Sobh
,
M.A. Anastasio
,
G. Popescu
ACS Photonetics
, 2022, impact factor 7.5
Live-dead assay on unlabeled cells using phase imaging with computational specificity
C. Hu*
,
S. He*
,
Y. Lee
,
Y.R. He
,
E.M. Kong
,
H. Li
,
M.A. Anastasio
,
G. Popescu
Nature Communications
, 2022, impact factor 14.92
Learning-based Cancer Treatment Outcome Prognosis using Multimodal Biomarkers
M. Saad*
,
S. He*
,
W. Thorstad
,
H. Gay
,
X. Wu
,
S. Ruan
,
Y. Zhao
,
X. Wang
,
H. Li
IEEE Transactions on Radiation and Plasma Medical Sciences
, 2021
A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers
S. He
,
C. Lian
,
W. Thorstad
,
H. Gay
,
Y. Zhao
,
S. Ruan
,
X. Wang
,
H. Li
Bioinformatics
, 2021, impact factor 6.9
Deeply-supervised density regression for automatic cell counting in microscopy images
S. He
,
K. Minn
,
L. Solnica-Krezel
,
M.A. Anastasio
,
H. Li
Medical Image Analysis
, 2021, impact factor 13.8
High-resolution transcriptional and morphogenetic profiling of cells from micropatterned human ESC gastruloid cultures
K. Minn
,
Y.C. Fu
,
S. He
,
S.C. George
,
M.A. Anastasio
,
S.A. Morris
,
L. Solnica-Krezel
Elife
, 2020, impact factor 8.14
An Adaptive Low-Rank Modeling-based Active Learning Method for Medical Image Annotation
S. He
,
J. Wu
,
C. Lian
,
H.M. Gach
,
S. Mutic
,
W. Bosch
,
J. Michalski
H. Li
Innovation and Research in BioMedical Engineering (IRBM)
, 2020, impact factor 5.5
Conferences
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers
Y. Tang
,
N. Zhang
,
Y. Wang
,
S. He
,
M. Han
,
J. Xiao
,
R. Lin
,
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
, 2022
Deep learning-based multi-class COVID-19 classification with x-ray Images
Z. Fan
,
S. He
,
S. Ruan
,
X. Wang
,
H. Li
,
Proc. of SPIE Medical Imaging
, 2021
Learning numerical observers using unsupervised domain adaptation
S. He
,
W. Zhou
,
H. Li
,
M.A Anastasio
,
Proc. of SPIE Medical Imaging
, 2020