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Scopus Author ID: 7501509369

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Employment (8)

Harvard Medical School: Boston, MA, US

2020-10 to present | Assistant Professor (Surgery)
Employment
Source: Self-asserted source
Kwonmoo Lee

Boston Children's Hospital: Boston, Massachusetts, US

2020-10 to present | Principal Investigator (Vascular Biology Program)
Employment
Source: Self-asserted source
Kwonmoo Lee

Worcester Polytechnic Institute: Worcester, MA, US

2020-07 to 2021-10 | Affiliate Assistant Professor (Biomedical Engineering)
Employment
Source: Self-asserted source
Kwonmoo Lee

Worcester Polytechnic Institute: Worcester, MA, US

2014-07 to 2020-06 | Assistant Professor (Biomedical Engineering)
Employment
Source: Self-asserted source
Kwonmoo Lee

Harvard Medical School: Boston, MA, US

2010-06-05 to 2014-06-30 | Post-doctoral Fellow (Cell Biology)
Employment
Source: Self-asserted source
Kwonmoo Lee

Harvard Medical School: Boston, MA, US

2004-02-01 to 2010-05-31 | Graduate Research Assistant (Systems Biology)
Employment
Source: Self-asserted source
Kwonmoo Lee

Samsung SDS: Seoul, Seoul, KR

2000-08-01 to 2003-05-31 | Research Engineer (Bioinformatics)
Employment
Source: Self-asserted source
Kwonmoo Lee

LS Cable and System: Anyang, Gyeonggi-do, KR

1998-01-01 to 2000-07-31 | Research Engineer (Fiber Optics)
Employment
Source: Self-asserted source
Kwonmoo Lee

Education and qualifications (3)

Massachusetts Institute of Technology: Cambridge, MA, US

2003-09-01 to 2010-06-04 | Ph.D. (Physics)
Education
Source: Self-asserted source
Kwonmoo Lee

Pohang University of Science and Technology: Pohang, Gyeongsangbuk-do, KR

1996-03-01 to 1998-02-28 | M.S. (Physics)
Education
Source: Self-asserted source
Kwonmoo Lee

Pohang University of Science and Technology: Pohang, Gyeongsangbuk-do, KR

1991-03-01 to 1996-02-28 | B.S. (Electronic and Electrical Engineering)
Education
Source: Self-asserted source
Kwonmoo Lee

Works (34)

Heterogeneity-Preserving Discriminative Feature Selection for Disease-Specific Subtype Discovery

Zenodo
2024-12-14 | Software
DOI: 10.5281/zenodo.14460056
Contributors: Abdur Rahman Mohd Abul Basher; Caleb Hallinan; Kwonmoo Lee
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DataCite

Heterogeneity-Preserving Discriminative Feature Selection for Disease-Specific Subtype Discovery

Zenodo
2024-12-14 | Software
DOI: 10.5281/zenodo.14460055
Contributors: Abdur Rahman Mohd Abul Basher; Caleb Hallinan; Kwonmoo Lee
Source: check_circle
DataCite

Survivin modulates stiffness-induced vascular smooth muscle cell motility

2024-12-12 | Preprint
DOI: 10.1101/2024.12.11.628062
Contributors: Thomas Mousso; Kalina Rice; Bat-Ider Tumenbayar; Khanh Pham; Yuna Heo; Su Chin Heo; Kwonmoo Lee; Andrew T Lombardo; Yongho Bae
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Interpretable Fine‐Grained Phenotypes of Subcellular Dynamics via Unsupervised Deep Learning

Advanced Science
2024-11 | Journal article
DOI: 10.1002/advs.202403547
Contributors: Chuangqi Wang; Hee June Choi; Lucy Woodbury; Kwonmoo Lee
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Fine-Grained Forecasting of COVID-19 Trends at the County Level in the United States

2024-01-15 | Preprint
DOI: 10.1101/2024.01.13.24301248
Contributors: Tzu-Hsi Song; Leonardo Clemente; Xiang Pan; Junbong Jang; Mauricio Santillana; Kwonmoo Lee
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Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance

Artificial Intelligence in Medicine
2023 | Journal article
DOI: 10.1016/j.artmed.2023.102548
EID:

2-s2.0-85153532836

Part of ISSN: 18732860 09333657
Contributors: Pan, X.; Wang, C.; Yu, Y.; Reljin, N.; McManus, D.D.; Darling, C.E.; Chon, K.H.; Mendelson, Y.; Lee, K.
Source: Self-asserted source
Kwonmoo Lee via Scopus - Elsevier

Screening adequacy of unstained thyroid fine needle aspiration samples using a deep learning-based classifier

Scientific Reports
2023 | Journal article
DOI: 10.1038/s41598-023-40652-1
EID:

2-s2.0-85168318331

Part of ISSN: 20452322
Contributors: Jang, J.; Kim, Y.; Westgate, B.; Zong, Y.; Hallinan, C.; Akalin, A.; Lee, K.
Source: Self-asserted source
Kwonmoo Lee via Scopus - Elsevier

Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2023-06 | Conference paper
DOI: 10.1109/cvpr52729.2023.00030
Contributors: Junbong Jang; Kwonmoo Lee; Tae-Kyun Kim
Source: Self-asserted source
Kwonmoo Lee

Heterogeneity-Preserving Discriminative Feature Selection for Disease-Specific Subtype Discovery

2023-05-14 | Preprint
DOI: 10.1101/2023.05.14.540686
Contributors: Abdur Rahman M. A. Basher; Caleb Hallinan; Kwonmoo Lee
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Survivin is a mechanosensitive cell cycle regulator in vascular smooth muscle cells

2022-11-10 | Preprint
DOI: 10.1101/2022.11.09.515885
Contributors: John C. Biber; Andra Sullivan; Joseph A. Brazzo, III; Amanda Krajnik; Yuna Heo; Kerry E. Poppenberg; Vincent M. Tutino; Su-Jin Heo; John Kolega; Kwonmoo Lee et al.
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Survivin Regulates Intracellular Stiffness and Extracellular Matrix Production in Vascular Smooth Muscle Cells

2022-10-24 | Preprint
DOI: 10.1101/2022.10.24.513582
Contributors: Amanda Krajnik; Erik Nimmer; Andra Sullivan; Joseph A. Brazzo, III; Yuna Heo; Alanna Krug; John Kolega; Su-Jin Heo; Kwonmoo Lee; Brian R. Weil et al.
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Protocol for live cell image segmentation to profile cellular morphodynamics using MARS-Net

STAR Protocols
2022-09 | Journal article
DOI: 10.1016/j.xpro.2022.101469
Contributors: Junbong Jang; Caleb Hallinan; Kwonmoo Lee
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A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy

Cell Reports Methods
2021 | Journal article
DOI: 10.1016/j.crmeth.2021.100105
EID:

2-s2.0-85119327532

Part of ISSN: 26672375
Contributors: Jang, J.; Wang, C.; Zhang, X.; Choi, H.J.; Pan, X.; Lin, B.; Yu, Y.; Whittle, C.; Ryan, M.; Chen, Y. et al.
Source: Self-asserted source
Kwonmoo Lee via Scopus - Elsevier

A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation

Scientific Reports
2021 | Journal article
DOI: 10.1038/s41598-021-02683-4
EID:

2-s2.0-85120818400

Part of ISSN: 20452322
Contributors: Vaidyanathan, K.; Wang, C.; Krajnik, A.; Yu, Y.; Choi, M.; Lin, B.; Jang, J.; Heo, S.-J.; Kolega, J.; Lee, K. et al.
Source: Self-asserted source
Kwonmoo Lee via Scopus - Elsevier

Increased prevalence of indoor: Aspergillus and Penicillium species is associated with indoor flooding and coastal proximity: A case study of 28 moldy buildings

Environmental Science: Processes and Impacts
2021 | Journal article
DOI: 10.1039/d1em00202c
EID:

2-s2.0-85119718882

Part of ISSN: 20507895 20507887
Contributors: Omebeyinje, M.H.; Adeluyi, A.; Mitra, C.; Chakraborty, P.; Gandee, G.M.; Patel, N.; Verghese, B.; Farrance, C.E.; Hull, M.; Basu, P. et al.
Source: Self-asserted source
Kwonmoo Lee via Scopus - Elsevier

Emerging machine learning approaches to phenotyping cellular motility and morphodynamics

Physical Biology
2021-07-01 | Journal article
DOI: 10.1088/1478-3975/abffbe
Contributors: Hee June Choi; Chuangqi Wang; Xiang Pan; Junbong Jang; Mengzhi Cao; Joseph A Brazzo, III; Yongho Bae; Kwonmoo Lee
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Mechanosensitive expression of lamellipodin promotes intracellular stiffness, cyclin expression and cell proliferation

Journal of Cell Science
2021-06-15 | Journal article
DOI: 10.1242/jcs.257709
Contributors: Joseph A. Brazzo, III; John C. Biber; Erik Nimmer; Yuna Heo; Linxuan Ying; Ruogang Zhao; Kwonmoo Lee; Matthias Krause; Yongho Bae
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Interpretable Deep Learning for Breast Cancer Cell Phenotyping Using Diffraction Images from Lens-Free Digital In-Line Holography

2021-05-29 | Preprint
DOI: 10.1101/2021.05.29.446284
Contributors: Tzu-Hsi Song; Mengzhi Cao; Jouha Min; Hyungsoon Im; Hakho Lee; Kwonmoo Lee
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Uncovering Interpretable Fine-Grained Phenotypes of Subcellular Dynamics through Unsupervised Self-Training of Deep Neural Networks

2021-05-27 | Preprint
DOI: 10.1101/2021.05.25.445699
Contributors: Chuangqi Wang; Hee June Choi; Lucy Woodbury; Kwonmoo Lee
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Mechanosensitive Expression of Lamellipodin Governs Cell Cycle Progression and Intracellular Stiffness

2020-10-31 | Preprint
DOI: 10.1101/2020.10.30.362624
Contributors: Joseph A. Brazzo, III; Kwonmoo Lee; Yongho Bae
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Machine learning reveals heterogeneous responses to FAK, Rac, Rho, and Cdc42 inhibition on vascular smooth muscle cell spheroid formation and morphology

2020-01-31 | Preprint
DOI: 10.1101/2020.01.30.927616
Contributors: Kalyanaraman Vaidyanathan; Chuangqi Wang; Amanda Krajnik; Yudong Yu; Moses Choi; Bolun Lin; Su-Jin Heo; John Kolega; Kwonmoo Lee; Yongho Bae
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Deep transfer learning-based hologram classification for molecular diagnostics

Scientific Reports
2018-11-19 | Journal article
DOI: 10.1038/s41598-018-35274-x
Source: Self-asserted source
Kwonmoo Lee
grade
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Subcellular Time Series Modeling of Heterogeneous Cell Protrusion

bioRxiv
2018-09-27 | Preprint
DOI: 10.1101/429118
Source: Self-asserted source
Kwonmoo Lee
grade
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Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging

Nature Communications
2018-04-27 | Journal article
DOI: 10.1038/s41467-018-04030-0
Contributors: Chuangqi Wang; Hee June Choi; Sung-Jin Kim; Aesha Desai; Namgyu Lee; Dohoon Kim; Yongho Bae; Kwonmoo Lee
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Deconvolution of subcellular protrusion heterogeneity and the underlying actin regulator dynamics from live cell imaging

bioRxiv
2017 | Other
DOI: 10.1101/144238
EID:

2-s2.0-85095635723

Part of ISSN: 26928205
Contributors: Wang, C.; Choi, H.J.; Kim, S.-J.; Desai, A.; Lee, N.; Kim, D.; Bae, Y.; Lee, K.
Source: Self-asserted source
Kwonmoo Lee via Scopus - Elsevier

vU-net: accurate cell edge segmentation in time-lapse fluorescence live cell images based on convolutional neural network

2017-09 | Other
DOI: 10.1101/191858
Contributors: Chuangqi Wang; Xitong Zhang; Yenyu Chen; Kwonmoo Lee
Source: Self-asserted source
Kwonmoo Lee via Crossref Metadata Search
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Deep transfer learning-based hologram classification for molecular diagnostics

2017-09-22 | Other
DOI: 10.1101/192559
Contributors: Sung-Jin Kim; Chuangqi Wang; Bing Zhao; Hyungsoon Im; Jouha Min; Nu Ri Choi; Cesar M. Castro; Ralph Weissleder; Hakho Lee; Kwonmoo Lee
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Edge Detection of Cryptic Lamellipodia Assisted by Deep Learning

bioRxiv
2017-08 | Preprint
DOI: 10.1101/181263
Source: Self-asserted source
Kwonmoo Lee
grade
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Functional Hierarchy of Redundant Actin Assembly Factors Revealed by Fine-Grained Registration of Intrinsic Image Fluctuations

Cell Systems
2015-07 | Journal article
DOI: 10.1016/j.cels.2015.07.001
Part of ISSN: 2405-4712
Contributors: Kwonmoo Lee; Hunter L. Elliott; Youbean Oak; Chih-Te Zee; Alex Groisman; Jessica D. Tytell; Gaudenz Danuser
Source: Self-asserted source
Kwonmoo Lee via Crossref Metadata Search
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Self-assembly of filopodia-like structures on supported lipid bilayers.

Science (New York, N.Y.)
2010-09 | Journal article
DOI: 10.1126/science.1191710
PMID: 20829485
PMC: PMC2982780
Contributors: Lee K; Gallop JL; Rambani K; Kirschner MW
Source: Self-asserted source
Kwonmoo Lee via Europe PubMed Central
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Ion transport and channel transition in biomembranes

Physica A: Statistical Mechanics and its Applications
2002-11 | Journal article
DOI: 10.1016/s0378-4371(02)01247-5
Part of ISSN: 0378-4371
Contributors: Kwonmoo Lee; Wokyung Sung
Source: Self-asserted source
Kwonmoo Lee via Crossref Metadata Search
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A Stochastic Model of Conductance Transitions in Voltage-Gated IonChannels.

Journal of biological physics
2002-06 | Journal article
DOI: 10.1023/a:1019987816498
PMID: 23345775
PMC: PMC3456657
Contributors: Lee K; Sung W
Source: Self-asserted source
Kwonmoo Lee via Europe PubMed Central
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Effects of nonequilibrium fluctuations on ionic transport through biomembranes

Physical Review E
1999-10-01 | Journal article
DOI: 10.1103/physreve.60.4681
Part of ISSN: 1063-651X
Contributors: Kwonmoo Lee; W. Sung
Source: Self-asserted source
Kwonmoo Lee via Crossref Metadata Search
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Evolution strategy applied to global optimization of clusters in gene expression data of DNA microarrays

Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546)
Conference paper
DOI: 10.1109/cec.2001.934278
Part of ISBN: 0780366573
Contributors: Kwonmoo Lee; Ju Han Kim; Tae Su Chung; Byoung-Sun Moon; Hoseung Lee; I.S. Kohane
Source: Self-asserted source
Kwonmoo Lee via Crossref Metadata Search
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