Hien Van Nguyen

Hien Van Nguyen

University of Houston

H-index: 36

North America-United States

About Hien Van Nguyen

Hien Van Nguyen, With an exceptional h-index of 36 and a recent h-index of 32 (since 2020), a distinguished researcher at University of Houston, specializes in the field of Machine Learning, Artificial Intelligence, Computer Vision, Medical Image Analysis.

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

Frustratingly Easy Environment Discovery for Invariant Learning

Frozen Large-scale Pretrained Vision-Language Models are an Effective Foundational Backbone for Enhancing Multimodal Breast Cancer Risk Assessment

I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses

Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder

Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions

Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis

CapsNet for medical image segmentation

Game Theory Meets Data Augmentation

Hien Van Nguyen Information

University

Position

Assistant Professor

Citations(all)

6028

Citations(since 2020)

3834

Cited By

3571

hIndex(all)

36

hIndex(since 2020)

32

i10Index(all)

63

i10Index(since 2020)

55

Email

University Profile Page

University of Houston

Google Scholar

View Google Scholar Profile

Hien Van Nguyen Skills & Research Interests

Machine Learning

Artificial Intelligence

Computer Vision

Medical Image Analysis

Top articles of Hien Van Nguyen

Title

Journal

Author(s)

Publication Date

Frustratingly Easy Environment Discovery for Invariant Learning

Computer Sciences & Mathematics Forum

Samira Zare

Hien Van Nguyen

2024/1/29

Frozen Large-scale Pretrained Vision-Language Models are an Effective Foundational Backbone for Enhancing Multimodal Breast Cancer Risk Assessment

Authorea Preprints

Hung Q Vo

Lin Wang

Kelvin K Wong

Chika F Ezeana

Xiaohui Yu

...

2024/1/22

I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses

Trong Thang Pham

Jacob Brecheisen

Anh Nguyen

Hien Nguyen

Ngan Le

2024

Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder

Artificial Intelligence in Medicine

Son T Ly

Bai Lin

Hung Q Vo

Dragan Maric

Badrinath Roysam

...

2024/5/1

Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions

Giorgio Cazzaniga

Mattia Rossi

Albino Eccher

Ilaria Girolami

Vincenzo L’Imperio

...

2024/1

Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis

arXiv preprint arXiv:2404.18981

Akash Awasthi

Safwan Ahmad

Bryant Le

Hien Van Nguyen

2024/4/29

CapsNet for medical image segmentation

Minh Tran

Viet-Khoa Vo-Ho

Kyle Quinn

Hien Nguyen

Khoa Luu

...

2024/1/1

Game Theory Meets Data Augmentation

IEEE Transactions on Artificial Intelligence

Yuhan Kang

Samira Zare

Alex Lin

Zhu Han

Stanley Osher

...

2024/4/2

Metric learning algorithms for meta learning

Pengyu Yuan

Hien Van Nguyen

2023/1/1

Anomaly Detection in Satellite Videos using Diffusion Models

arXiv preprint arXiv:2306.05376

Akash Awasthi

Son Ly

Jaer Nizam

Samira Zare

Videet Mehta

...

2023/5/25

Evaluating and Improving Domain Invariance in Contrastive Self-Supervised Learning by Extrapolating the Loss Function

IEEE Access

Samira Zare

Hien Van Nguyen

2023/12/5

Decoding radiologists intense focus for accurate cxr diagnoses: A controllable and interpretable ai system

arXiv preprint arXiv:2309.13550

Trong Thang Pham

Jacob Brecheisen

Anh Nguyen

Hien Nguyen

Ngan Le

2023/9/24

AGILE-a meta learning framework for few-shot brain cell classification

Pengyu Yuan

Hien Van Nguyen

2023/1/1

Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss

arXiv preprint arXiv:2303.06305

Tuong Do

Binh X Nguyen

Hien Nguyen

Erman Tjiputra

Quang D Tran

...

2023/3/11

Controllable Group Choreography using Contrastive Diffusion

ACM Transactions on Graphics (TOG)

Nhat Le

Tuong Do

Khoa Do

Hien Nguyen

Erman Tjiputra

...

2023/12/4

Automated visitor and wildlife monitoring with camera traps and machine learning

Remote Sensing in Ecology and Conservation

Veronika Mitterwallner

Anne Peters

Hendrik Edelhoff

Gregor Mathes

Hien Nguyen

...

2023/8/30

Meta learning by optimization

Pengyu Yuan

Hien Van Nguyen

2023/1/1

Video Diffusion models for the apoptosis forcasting

bioRxiv

Akash Awasthi

Jaer Nizam

Samira Zare

Safwan Ahmad

Melisa J Montalvo

...

2023

Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy

Computer Methods and Programs in Biomedicine

Nicola Altini

Michele Rossini

Sándor Turkevi-Nagy

Francesco Pesce

Paola Pontrelli

...

2023/12/1

Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology

Binh Nguyen

Tuong Do

Hien Nguyen

Vuong Pham

Toan Tran

...

2023/8/1

See List of Professors in Hien Van Nguyen University(University of Houston)

Co-Authors

H-index: 143
Ramalingam Chellappa

Ramalingam Chellappa

Johns Hopkins University

H-index: 88
Fatih Porikli

Fatih Porikli

Australian National University

H-index: 85
Rene Vidal

Rene Vidal

Johns Hopkins University

H-index: 82
Vishal M. Patel

Vishal M. Patel

Johns Hopkins University

H-index: 61
Vandermeulen Dirk

Vandermeulen Dirk

Katholieke Universiteit Leuven

H-index: 60
Nasser M Nasrabadi

Nasser M Nasrabadi

West Virginia University

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