publication

conferences / journals / preprints / workshops

underline: advised student

2023

MISPEL: A supervised deep learning method for harmonizing multi-scanner neuroimaging data

Mahbaneh Eshghzadeh Torbati, Davneet S. Minhas, Charles M. Laymon, Pauline Maillard, James D. Wilson, Chang-Le Chen, Ciprian M. Crainiceanu, Charles S. DeCarli, Seong Jae Hwang, Dana L. Tudorascu

Medical Image Analysis (MIA), 2023. [Impact Factor: 13.828]

[MIA]


Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve

Anthony Sicilia, Xingchen Zhao, Seong Jae Hwang

Machine Learning, 2023. [Impact Factor: 7.5]

[Machine Learning][arxiv]

Evidence-empowered Transfer Learning for Alzheimer's Disease

Kai Ong, Hana Kim, Minjin Kim, Jinseong Jang, Beomseok Sohn, Yoon Seong Choi, Dosik Hwang, Seong Jae Hwang and Jinyoung Yeo

IEEE International Symposium on Biomedical Imaging (ISBI), 2023.

[arxiv]


2022

PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners

Anthony Sicilia, Katherine Atwell, Malihe Alikhani, Seong Jae Hwang

Conference on Uncertainty in Artificial Intelligence (UAI), 2022. [Best Paper Award]

[UAI][arxiv][github]


Test-time Fourier Style Calibration for Domain Generalization

Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu

International Joint Conference on Artificial Intelligence (IJCAI), 2022.

[IJCAI][arxiv]


The Change that Matters in Discourse Parsing: Estimating the Impact of Domain Shift on Parser Error

Katherine Atwell, Anthony Sicilia, Seong Jae Hwang, Malihe Alikhani

Findings of ACL, 2022.

[Findings][arxiv][github]

Anatomic development of the upper airway during the first five years of life: A three-dimensional imaging study

Ying Ji Chuang, Seong Jae Hwang, Kevin A Buhr, Courtney A Miller, Gregory D Avey, Brad H Story, Houri K. Vorperian

PLOS ONE, 2022.

[PLOS ONE]


2021

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat

Mahbaneh Eshghzadeh Torbati, Davneet S. Minhas, Ghasan Ahmad, Erin E. O'Connor, John Muschelli, Charles Laymon, Zixi Yang, Annie Cohen, Howard J. Aizenstein, William E. Klunk, Bradley T. Christian, Seong Jae Hwang, Ciprian M. Crainiceanu, Dana L. Tudorascu

NeuroImage, 2021.

[NeuroImage]

Multi-scanner Harmonization of Paired Neuroimaging Data via Structure Preserving Embedding Learning

Mahbaneh Eshghzadeh Torbati, Dana L. Tudorascu, Pauline Maillard, Davneet S. Minhas, Charles S. DeCarli, Seong Jae Hwang

The First Workshop on Computer Vision for Automated Medical Diagnosis (CVAMD), International Conference on Computer Vision (W-ICCV), 2021. [Oral]

[W-ICCV] [github]

Point Cloud Augmentation with Weighted Local Transformations

Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo Kim

International Conference on Computer Vision (ICCV), 2021.

[ICCV] [github]

PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging

Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang

Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021.

[MICCAI] [arxiv] [github]

Cycle Consistent Embedding of 3D Brains with Auto-Encoding Generative Adversarial Networks

Shibo Xing, Harsh Sinha, Seong Jae Hwang

Medical Imaging with Deep Learning (Short Paper - MIDL), 2021.

[openreview] [github]

Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders

Xin Ma, Guorong Wu, Seong Jae Hwang, Won Hwa Kim

Information Processing in Medical Imaging (IPMI), 2021. [Acceptance rate: 30.0%]

[IPMI]

Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning

Anthony Sicilia, Xingchen Zhao, Davneet Minhas, Erin O'Connor, Howard Aizenstein, William Klunk, Dana Tudorascu, Seong Jae Hwang

IEEE International Symposium on Biomedical Imaging (ISBI), 2021.

[ISBI 2021] [arxiv] [github]

Robust White Matter Hyperintensity Segmentation on Unseen Domain

Xingchen Zhao, Anthony Sicilia, Davneet Minhas, Erin O'Connor, Howard Aizenstein, William Klunk, Dana Tudorascu, Seong Jae Hwang

IEEE International Symposium on Biomedical Imaging (ISBI), 2021.

[ISBI 2021] [arxiv] [github]


2020

Developmental morphology of the cervical vertebrae and the emergence of sexual dimorphism in size and shape: A computed tomography study

Courtney A. Miller, Seong Jae Hwang, Meghan M. Cotter, Houri K. Vorperian

The Anatomical Record, 2020.

[The Anatomical Record]


Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons

Brian Faulkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla

Workshop on BioImage Computing, European Conference on Computer Vision (ECCV Workshop), 2020. [Oral Presentation]

[Springer link] [openreview pdf]


Learning Amyloid Pathology Progression from Longitudinal PiB-PET Images in Preclinical Alzheimer's Disease

Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh

IEEE International Symposium on Biomedical Imaging (ISBI), 2020.

[IEEE Xplore]


2019

Statistical Analysis of Longitudinally and Conditionally Generated Neuroimaging Measures via Conditional Recurrent Flow

Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh

The First Workshop on Statistical Deep Learning in Computer Vision, International Conference on Computer Vision (W-ICCV), 2019. [Oral]

[pdf]


Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging

Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh

International Conference on Computer Vision (ICCV), 2019. [Acceptance rate: 25%]

[pdf] [poster]


Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging

Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh

Conference on Uncertainty in Artificial Intelligence (UAI), 2019. [Acceptance rate: 26%]

[pdf]


Large-Scale Training Framework for Video Annotation

Seong Jae Hwang, Joonseok Lee, Balakrishnan Varadarajan, Ariel Gordon, Zheng Xu, Paul Natsev

Conference on Knowledge Discovery and Data Mining (KDD), 2019. [Oral acceptance rate: 9.2%] [Oral]

[pdf]


Cervical vertebral growth and emergence of sexual dimorphism: A developmental study using computed tomography

Courtney A. Miller, Seong Jae Hwang, Meghan M. Cotter, Houri K. Vorperian

Journal of Anatomy, 2019.


2018

Cerebrospinal fluid biomarkers of neurofibrillary tangles and synaptic dysfunction are associated with longitudinal decline in white matter connectivity: A multi-resolution graph analysis

Won Hwa Kim, Annie M. Racine, Nagesh Adluru, Seong Jae Hwang, Kaj Blennow, Henrik Zetterberg, Cyhthia M. Carlsson, Sanjay Asthana, Rebecca L. Koscik, Sterling C. Johnson, Barbara B.Bendlin, Vikas Singh

NeuroImage: Clinical, 2018.

[NeuroImage: Clinical]


Associations between PET Amyloid Pathology and DTI Brain Connectivity in Preclinical Alzheimer's Disease

Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh

Brain Connectivity, 2018.

[Brain Connectivity] 


Tensorize, Factorize and Regularize: Robust Visual Relationship Learning

Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh

Computer Vision and Pattern Recognition (CVPR), 2018. [Acceptance rate: 29.7%]

[pdf]


2017

Online Graph Completion: Multivariate Signal Recovery in Computer Vision

Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh

Computer Vision and Pattern Recognition (CVPR), 2017.

[pdf]


2016

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging

Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

European Conference on Computer Vision (ECCV), 2016. [Acceptance rate: 26.6%]

[pdf] [supplementary]


Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks

Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh

Computer Vision and Pattern Recognition (CVPR), 2016. [Acceptance rate: 29.9%]

[pdf] [supplementary] [poster] [code will be available here] [project page]


2015

A Projection free method for Generalized Eigenvalue Problem with a nonsmooth Regularizer

Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

International Conference on Computer Vision (ICCV), 2015. [Acceptance rate: 30.9%]

[pdf] [fixed eq (18),(20)] [supplementary] [poster] [code] [project page] [PubMed]


conference abstracts

2022

Reducing MRI Inter-Scanner Variability Using 3D Superpixel ComBat

Chang-Le Chen, Mahbaneh Eshaghzadeh Torbati, James D. Wilson, Davneet S. Minhas, Charles M. Laymon, Seong Jae Hwang, Pauline Maillard, Evan Fletcher, Charles S. DeCarli, Dana L. Tudorascu

Alzheimer's Association International Conference (AAIC), 2022.


2021

An MRI multi-scanner neuroimaging data harmonization study using RAVEL and ComBat

Mahbaneh Eshghzadeh Torbati, Davneet S. Minhas, Ghasan Ahmad, Erin E. O'Connor, John Muschelli, Charles Laymon, Zixi Yang, Annie Cohen, Howard J. Aizenstein, William E. Klunk, Bradley T. Christian, Ciprian M. Crainiceanu, Seong Jae Hwang, Dana L. Tudorascu

Alzheimer's Association International Conference (AAIC), 2021.


2020

Retrospective prediction of amyloid accumulation trajectories in a risk-enriched Alzheimer's disease cohort with sequential neural networks

Seong Jae Hwang, Rebecca L. Koscik, Tobey J. Betthauser, Zirui Tao, Won Hwa Kim, Sterling C. Johnson, Vikas Singh

Human Amyloid Imaging (HAI), 2020. [poster]


2019

Predicting amyloid accumulation trajectories in a risk-enriched Alzheimer's disease cohort with Deep Conditional Neural Networks

Seong Jae Hwang, Rebecca L. Koscik, Tobey J. Betthauser, Zirui Tao, Won Hwa Kim, Sterling C. Johnson, Vikas Singh

Alzheimer's Association International Conference (AAIC), 2019.


A Normative Modeling Based Analysis of Amyloid, Cognition, and Tau in Preclinical Alzheimer's Disease

Zirui Tao, Ronak R. Mehta, Seong Jae Hwang, Rebecca L. Koscik, Erin Jonaitis, Sterling C. Johnson, Vikas Singh

Alzheimer's Association International Conference (AAIC), 2019.


Sequential Deep Learning Algorithms show structural connectivity differences by amyloid status

Xingjian Zhen, Rudrasis Chakraborty, Nocholas Vogt, Seong Jae Hwang, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh

Alzheimer's Association International Conference (AAIC), 2019.


2018

Data-Driven Propagation Modeling of PET-Derived Alzheimer's Pathology in a Preclinical Cohort

Seong Jae Hwang, Sathya N. Ravi, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh

Alzheimer's Association International Conference (AAIC), 2018.


2017

Graph Completion: A Generalization of Netflix Prize Problem to Designing Cost Effective Neuroimaging Trials in Preclinical AD

Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

Alzheimer's Association International Conference (AAIC), 2017.


2016

Multi-Resolution Analysis of DTI-Derived Brain Connectivity and the Influence of PET-Derived Alzheimer's Disease Pathology in a Preclinical Cohort

Seong Jae Hwang, Won Hwa Kim, Barbara B. Bendlin, Nagesh Adluru, Vikas Singh

Alzheimer's Association International Conference (AAIC), 2016. [Oral]

patents

Framework for Training Machine-Learned Models on Extremely Large Datasets

Joon Seok Lee, Balakrishnan Varadarajan, Ariel Gordon, Apostol Ivanov Natsev, Seong Jae Hwang

US Patent, 2021, US20210117728A1

[Google Patents]


Neural Network Architecture with Concurrent Uncertainty Output

Seong Jae Hwang, Ronak Mehta, Vikas Singh

US Patent, 2020, US20200065648A1

[Google Patents]


Computerized System for Efficient Augmentation of Data Sets

Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling Johnson, Vikas Singh

US Patent, 2018, US20180113990A1

[Google Patents]


Fast object tracking framework for sports video recognition

Zheng Han, Xiaowei Dai, Seong Jae Hwang, Jason Fass

US Patent, 2016, US9449230B2

[Google Patents]