Stephen Baek

Stephen Baek

University of Iowa

H-index: 19

North America-United States

About Stephen Baek

Stephen Baek, With an exceptional h-index of 19 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Iowa, specializes in the field of Geometric Data Analysis, Computational Geometry, Computational Design, Scientific Machine Learning, Generative Modeling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Human-airway surface mesh smoothing based on graph convolutional neural networks

Projected Generative Diffusion Models for Constraint Satisfaction

Methods and apparatus for machine learning to analyze musculo-skeletal rehabilitation from images

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling

Role of NKCC1 and KCC2 during hypoxia-induced neuronal swelling in the neonatal neocortex

PARC: Physics-aware recurrent convolutional neural networks to assimilate meso scale reactive mechanics of energetic materials

Convolutional neural networks for large-scale dynamical modeling of itinerant magnets

Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022)

Stephen Baek Information

University

Position

___

Citations(all)

1296

Citations(since 2020)

1035

Cited By

565

hIndex(all)

19

hIndex(since 2020)

16

i10Index(all)

24

i10Index(since 2020)

21

Email

University Profile Page

University of Iowa

Google Scholar

View Google Scholar Profile

Stephen Baek Skills & Research Interests

Geometric Data Analysis

Computational Geometry

Computational Design

Scientific Machine Learning

Generative Modeling

Top articles of Stephen Baek

Title

Journal

Author(s)

Publication Date

Human-airway surface mesh smoothing based on graph convolutional neural networks

Computer methods and programs in biomedicine

Thao Thi Ho

Minh Tam Tran

Xinguang Cui

Ching-Long Lin

Stephen Baek

...

2024/2/6

Projected Generative Diffusion Models for Constraint Satisfaction

arXiv preprint arXiv:2402.03559

Jacob K Christopher

Stephen Baek

Ferdinando Fioretto

2024/2/5

Methods and apparatus for machine learning to analyze musculo-skeletal rehabilitation from images

2024/4/16

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling

arXiv preprint arXiv:2402.12503

Phong CH Nguyen

Xinlun Cheng

Shahab Arfaza

Pradeep Seshadri

Yen T Nguyen

...

2024/2/19

Role of NKCC1 and KCC2 during hypoxia-induced neuronal swelling in the neonatal neocortex

Neurobiology of disease

Yusuke Takezawa

Rachel Langton

Samuel M Baule

Miriam Bridget Zimmerman

Stephen Baek

...

2023/3/1

PARC: Physics-aware recurrent convolutional neural networks to assimilate meso scale reactive mechanics of energetic materials

Science advances

Phong CH Nguyen

Yen-Thi Nguyen

Joseph B Choi

Pradeep K Seshadri

HS Udaykumar

...

2023/4/28

Convolutional neural networks for large-scale dynamical modeling of itinerant magnets

Physical Review Research

Xinlun Cheng

Sheng Zhang

Phong CH Nguyen

Shahab Azarfar

Gia-Wei Chern

...

2023/9/14

Federated learning enables big data for rare cancer boundary detection (vol 13, 7346, 2022)

Nature communications

Sarthak Pati

Ujjwal Baid

Brandon Edwards

Micah Sheller

Shih-Han Wang

...

2022/12/5

Assessing Deep Learning Methodologies for Automatic Segmentation of the Velopharyngeal Mechanism

Jiebei Liu

Donald E Brown

Kazlin Mason

Stephen Baek

2023/4/28

Analog-to-digital conversion circuit and receiver including same

2023/9/12

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature communications

Sarthak Pati

Ujjwal Baid

Brandon Edwards

Micah Sheller

Shih-Han Wang

...

2023/1/26

Challenges and opportunities for machine learning in multiscale computational modeling

Peter Washington

Cezmi Onur Mutlu

Aaron Kline

Kelley Paskov

Nate Tyler Stockham

...

2022/1/26

Predictive power of deep-learning segmentation based prognostication model in non-small cell lung cancer

Frontiers in oncology

Jordan C Gainey

Yusen He

Robert Zhu

Stephen S Baek

Xiaodong Wu

...

2023/4/4

A Deep Learning Approach for Neuronal Cell Body Segmentation in Neurons Expressing GCaMP Using a Swin Transformer

Eneuro

Mohammad Shafkat Islam

Pratyush Suryavanshi

Samuel M Baule

Joseph Glykys

Stephen Baek

2023/9/1

ProtoryNet-Interpretable Text Classification Via Prototype Trajectories

Journal of Machine Learning Research

Dat Hong

Tong Wang

Stephen Baek

2023

Artificial intelligence approaches for energetic materials by design: state of the art, challenges, and future directions

Joseph B Choi

Phong CH Nguyen

Oishik Sen

HS Udaykumar

Stephen Baek

2023/4

System and method to predict, prevent, and mitigate workplace injuries

2023/10/3

Application of machine learning to study the effect of damage on sensitivity of energetic materials at the meso-scale

Bulletin of the American Physical Society

Irene Fang

Phong Nguyen

Stephen Baek

HS Udaykumar

2023/6/23

A Physics‐Aware Deep Learning Model for Energy Localization in Multiscale Shock‐To‐Detonation Simulations of Heterogeneous Energetic Materials

Propellants, explosives, pyrotechnics

Phong C H Nguyen

Yen‐Thi Nguyen

Pradeep K Seshadri

Joseph B Choi

HS Udaykumar

...

2023/4

Crossing Species: meta-learning the shock response of CHNO energetic materials in a predictive framework

Bulletin of the American Physical Society

Ranabir Saha

2023/6/18

See List of Professors in Stephen Baek University(University of Iowa)

Co-Authors

H-index: 75
John Buatti

John Buatti

University of Iowa

H-index: 50
Brian J Smith

Brian J Smith

University of Iowa

H-index: 47
Amaury Lendasse

Amaury Lendasse

University of Houston

H-index: 36
Xiaodong Wu

Xiaodong Wu

University of Iowa

H-index: 33
Bryan G. Allen

Bryan G. Allen

University of Iowa

H-index: 30
Jia Lu

Jia Lu

University of Iowa

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