Tracking via object reflectance using a hyperspectral video camera. - Hien Van Nguyen; Amit Banerjee; Rama Chellappa (CVPR Workshops, 2010)

SHREC '11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes. - Zhouhui Lian; Afzal Godil; Benjamin Bustos; Mohamed Daoudi; Jeroen Hermans; Shun Kawamura; Yukinori Kurita; Guillaume Lavoué; Hien Van Nguyen; Ryutarou Ohbuchi; Yuki Ohkita; Yuya Ohishi; et al. (3DOR@Eurographics, 2011)

Concentric ring signature descriptor for 3D objects. - Hien Van Nguyen; Fatih Porikli (ICIP, 2011)

Design of Non-Linear Discriminative Dictionaries for Image Classification. - Ashish Shrivastava 001; Hien Van Nguyen; Vishal M. Patel; Rama Chellappa (ACCV (1), 2012)

Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction. - Hien Van Nguyen; Vishal M. Patel; Nasser M. Nasrabadi; Rama Chellappa (ECCV (6), 2012)

Kernel dictionary learning. - Hien Van Nguyen; Vishal M. Patel; Nasser M. Nasrabadi; Rama Chellappa (ICASSP, 2012)

Generalized Domain-Adaptive Dictionaries. - Sumit Shekhar; Vishal M. Patel; Hien Van Nguyen; Rama Chellappa (CVPR, 2013)

Latent Space Sparse Subspace Clustering. - Vishal M. Patel; Hien Van Nguyen; René Vidal (ICCV, 2013)

Support Vector Shape: A Classifier-Based Shape Representation. - Hien Van Nguyen; Fatih Porikli (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

A comparison of methods for non-rigid 3D shape retrieval. - Zhouhui Lian; Afzal Godil; Benjamin Bustos; Mohamed Daoudi; Jeroen Hermans; Shun Kawamura; Yukinori Kurita; Guillaume Lavoué; Hien Van Nguyen; Ryutarou Ohbuchi; Yuki Ohkita; Yuya Ohishi; et al. (Pattern Recognit., 2013)

Design of Non-Linear Kernel Dictionaries for Object Recognition. - Hien Van Nguyen; Vishal M. Patel; Nasser M. Nasrabadi; Rama Chellappa (IEEE Trans. Image Process., 2013)

Non-linear and Sparse Representations for Multi-Modal Recognition. - Hien Van Nguyen (2013)

Max residual classifier. - Hien Van Nguyen; Vishal M. Patel (WACV, 2014)

Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. - Raviteja Vemulapalli; Hien Van Nguyen; Shaohua Kevin Zhou (ICCV, 2015)

Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network. - Hien Van Nguyen; Shaohua Kevin Zhou; Raviteja Vemulapalli (MICCAI (1), 2015)

Latent Space Sparse and Low-Rank Subspace Clustering. - Vishal M. Patel; Hien Van Nguyen; René Vidal (IEEE J. Sel. Top. Signal Process., 2015)

DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning. - Hien Van Nguyen; Huy Tho Ho; Vishal M. Patel; Rama Chellappa (IEEE Trans. Image Process., 2015)

Coupled Projections for Adaptation of Dictionaries. - Sumit Shekhar; Vishal M. Patel; Hien Van Nguyen; Rama Chellappa (IEEE Trans. Image Process., 2015)

Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis. - Raviteja Vemulapalli; Hien Van Nguyen; Shaohua Kevin Zhou (Deep Learning for Medical Image Analysis, 2017)

Stacked LSTM Deep Learning Model for Traffic Prediction in Vehicle-to-Vehicle Communication. - Xunsheng Du; Huaqing Zhang 001; Hien Van Nguyen; Zhu Han 001 (VTC Fall, 2017)

Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks. - Aryan Mobiny; Supratik Moulik; Ilker Gurcan; Tanay Shah; Hien Van Nguyen (CoRR, 2017)

Fast CapsNet for Lung Cancer Screening. - Aryan Mobiny; Hien Van Nguyen (MICCAI (2), 2018)

Surgical Activities Recognition Using Multi-scale Recurrent Networks. - Ilker Gurcan; Hien Van Nguyen (ICASSP, 2019)

DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks. - Aryan Mobiny; Hien Van Nguyen; Supratik Moulik; Naveen Garg; Carol C. Wu (CoRR, 2019)

Multiple Class Novelty Detection Under Data Distribution Shift. - Poojan Oza; Hien Van Nguyen; Vishal M. Patel (ECCV (7), 2020)

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. - Jaime S. Cardoso 001; Hien Van Nguyen; Nicholas Heller; Pedro Henriques Abreu; Ivana Isgum; Wilson Silva; Ricardo P. M. Cruz; José Pereira Amorim; Vishal Patel 001; Badri Roysam; S. Kevin Zhou; Steve B. Jiang; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

StyPath: Style-Transfer Data Augmentation for Robust Histology Image Classification. - Pietro Antonio Cicalese; Aryan Mobiny; Pengyu Yuan; Jan U. Becker; Chandra Mohan; Hien Van Nguyen (MICCAI (5), 2020)

DECAPS: Detail-Oriented Capsule Networks. - Aryan Mobiny; Pengyu Yuan; Pietro Antonio Cicalese; Hien Van Nguyen (MICCAI (1), 2020)

Cellular/Vascular Reconstruction Using a Deep CNN for Semantic Image Preprocessing and Explicit Segmentation. - Leila Saadatifard; Aryan Mobiny; Pavel A. Govyadinov; Hien Van Nguyen; David Mayerich (MLMIR@MICCAI, 2020)

Few Is Enough: Task-Augmented Active Meta-learning for Brain Cell Classification. - Pengyu Yuan; Aryan Mobiny; Jahandar Jahanipour; Xiaoyang Li; Pietro Antonio Cicalese; Badrinath Roysam; Vishal M. Patel; Maric Dragan; Hien Van Nguyen (MICCAI (1), 2020)

Virtual Relay Selection in LTE-V: A Deep Reinforcement Learning Approach to Heterogeneous Data. - Xunsheng Du; Hien Van Nguyen; Chunxiao Jiang; Yong Li 008; F. Richard Yu; Zhu Han 001 (IEEE Access, 2020)

DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction. - Leila Saadatifard; Aryan Mobiny; Pavel A. Govyadinov; Hien Van Nguyen; David Mayerich (CoRR, 2020)

Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks. - Aryan Mobiny; Pietro Antonio Cicalese; Samira Zare; Pengyu Yuan; Mohammadsajad Abavisani; Carol C. Wu; Jitesh Ahuja; Patricia M. de Groot; Hien Van Nguyen (CoRR, 2020)

Evaluation of Inference Attack Models for Deep Learning on Medical Data. - Maoqiang Wu; Xinyue Zhang 001; Jiahao Ding; Hien Van Nguyen; Rong Yu 001; Miao Pan; Stephen T. Wong (CoRR, 2020)

Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network. - Aryan Mobiny; Hengyang Lu; Hien Van Nguyen; Badrinath Roysam; Navin Varadarajan (IEEE Trans. Medical Imaging, 2020)

Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks. - Hung Q. Vo; Pengyu Yuan; Tiancheng He; Stephen T. C. Wong; Hien Van Nguyen (BHI, 2021)

PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing. - Ngan Le; James Sorensen; Toan Duc Bui; Arabinda Choudhary; Khoa Luu; Hien Van Nguyen (ICIP, 2021)

MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors. - Pietro Antonio Cicalese; Syed Asad Rizvi; Victor Wang; Sai Patibandla; Pengyu Yuan; Samira Zare; Katharina Moos; Ibrahim Batal; Marian Clahsen-van Groningen; Candice Roufosse; Jan U. Becker; Chandra Mohan; et al. (MICCAI (8), 2021)

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data. - Xinyue Zhang 001; Jiahao Ding; Maoqiang Wu; Stephen T. C. Wong; Hien Van Nguyen; Miao Pan (WACV, 2021)

First arrival picking using U-net with Lovasz loss and nearest point picking method. - Pengyu Yuan; Wenyi Hu; Xuqing Wu 001; Jiefu Chen; Hien Van Nguyen (CoRR, 2021)

PICASO: Permutation-Invariant Cascaded Attentional Set Operator. - Samira Zare; Hien Van Nguyen (CoRR, 2021)

Deep reinforcement learning in medical imaging: A literature review. - S. Kevin Zhou; T. Hoang Ngan Le; Khoa Luu; Hien Van Nguyen; Nicholas Ayache (Medical Image Anal., 2021)

Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks. - Pietro Antonio Cicalese; Aryan Mobiny; Zahed Shahmoradi; Xiongfeng Yi; Chandra Mohan; Hien Van Nguyen (IEEE J. Biomed. Health Informatics, 2021)

Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification. - Aryan Mobiny; Pengyu Yuan; Pietro Antonio Cicalese; Supratik Moulik; Naveen Garg; Carol C. Wu; Kelvin K. Wong; Stephen T. Wong; Tiancheng He; Hien Van Nguyen (IEEE Trans. Medical Imaging, 2021)

Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis. - Samira Zare; Hien Van Nguyen (MICCAI (8), 2022)

Student Collaboration Improves Self-Supervised Learning: Dual-Loss Adaptive Masked Autoencoder for Brain Cell Image Analysis. - Son T. Ly; Bai Lin; Hung Q. Vo; Maric Dragan; Badri Roysam; Hien Van Nguyen (CoRR, 2022)

Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics. - Syed Asad Rizvi; Akash Awasthi; Maria J. Peláez; Zhihui Wang 008; Vittorio Cristini; Hien Van Nguyen; Prashant Dogra (CoRR, 2022)

Self-Supervised Learning for Efficient Antialiasing Seismic Data Interpolation. - Pengyu Yuan; Shirui Wang; Wenyi Hu; Prashanth Nadukandi; German Ocampo Botero; Xuqing Wu 001; Hien Van Nguyen; Jiefu Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

Evaluating and Improving Domain Invariance in Contrastive Self-Supervised Learning by Extrapolating the Loss Function. - Samira Zare; Hien Van Nguyen (IEEE Access, 2023)

Anomaly Detection in Satellite Videos using Diffusion Models. - Akash Awasthi; Son Ly; Jaer Nizam; Samira Zare; Videet Mehta; Safwan Ahmed; Keshav Shah; Ramakrishna Nemani; Saurabh Prasad; Hien Van Nguyen (CoRR, 2023)

Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs). - Huy Q. Vo; Pietro Antonio Cicalese; Surya Seshan; Syed Asad Rizvi; Aneesh Vathul; Gloria Bueno; Aníbal Pedraza Dorado; Niels Grabe; Katharina Stolle; Francesco Pesce; Joris J. T. H. Roelofs; Jesper Kers; et al. (CoRR, 2023)

Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy. - Nicola Altini; Michele Rossini; Sándor Turkevi-Nagy; Francesco Pesce; Paola Pontrelli; Berardino Prencipe; Francesco Berloco; Surya Seshan; Jean-Baptiste Gibier; Aníbal Pedraza Dorado; Gloria Bueno; Licia Peruzzi; et al. (Comput. Methods Programs Biomed., 2023)

Classification of Glomerulonephritis with CNN and Self-Attention Networks in Individual Glomeruli in Nephropathology. - Gloria Bueno; Aníbal Pedraza; Israel Mateos-Aparicio-Ruiz; Hien Van Nguyen; Nicola Altini; Huy Q. Vo; Dejan Dobi; Jean-Baptiste Gibier; Alessandro Del Gobbo; Lucia González; Loreto Gesualdo; Francesco Pesce; et al. (BHI, 2024)

Comparative Analysis of Fine-Tuned MobileNet Versions on Fish Disease Detection. - Hien Van Nguyen; Thinh Quoc Huynh; Nhat Minh Nguyen; Anh Kim Su; Hai Thanh Nguyen 003 (IMIS, 2024)

Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-Ray Image Analysis. - Akash Awasthi; Safwan Ahmad; Bryant Le; Hien Van Nguyen (ISBI, 2024)

Identifying Water Bodies in Satellite Images Using UNet 3+. - Thinh Quoc Huynh; Nhat Minh Nguyen; Hien Van Nguyen; Anh Kim Su; Hai Thanh Nguyen 003 (MIWAI (1), 2024)

Anomaly Detection in Satellite Videos Using Diffusion Models. - Akash Awasthi; Son T. Ly; Jaer Nizam; Videet Mehta; Safwan Ahmad; Ramakrishna Nemani; Saurabh Prasad; Hien Van Nguyen (MMSP, 2024)

Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder. - Son T. Ly; Bai Lin; Hung Q. Vo; Dragan Maric; Badrinath Roysam; Hien Van Nguyen (Artif. Intell. Medicine, 2024)

Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction. - Akash Awasthi; Ngan Le; Zhigang Deng 001; Carol C. Wu; Hien Van Nguyen (CoRR, 2024)

Multimodal Learning and Cognitive Processes in Radiology: MedGaze for Chest X-ray Scanpath Prediction. - Akash Awasthi; Ngan Le; Zhigang Deng 001; Rishi Agrawal; Carol C. Wu; Hien Van Nguyen (CoRR, 2024)

Game Theory Meets Data Augmentation. - Yuhan Kang; Samira Zare; Alex Tong Lin; Zhu Han 001; Stanley J. Osher; Hien Van Nguyen (IEEE Trans. Artif. Intell., 2024)

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists' intentions. - Trong-Thang Pham; Jacob Brecheisen; Carol C. Wu; Hien Van Nguyen; Zhigang Deng 001; Donald A. Adjeroh; Gianfranco Doretto; Arabinda Choudhary; Ngan Le (Artif. Intell. Medicine, 2025)

Revisiting Invariant Learning for Out-of-Domain Generalization on Multi-Site Mammogram Datasets. - Hung Q. Vo; Samira Zare; Son T. Ly; Lin Wang 065; Chika F. Ezeana; Xiaohui Yu 003; Kelvin K. Wong; Stephen T. C. Wong; Hien Van Nguyen (CoRR, 2025)

MIRAM: Masked Image Reconstruction Across Multiple Scales for Breast Lesion Risk Prediction. - Hung Q. Vo; Pengyu Yuan; Zheng Yin; Kelvin K. Wong; Chika F. Ezeana; Son T. Ly; Stephen T. C. Wong; Hien Van Nguyen (CoRR, 2025)

Frozen Large-Scale Pretrained Vision-Language Models are the Effective Foundational Backbone for Multimodal Breast Cancer Prediction. - Hung Q. Vo; Lin Wang 065; Kelvin K. Wong; Chika F. Ezeana; Xiaohui Yu 003; Wei Yang; Jenny C. Chang; Hien Van Nguyen; Stephen T. C. Wong (IEEE J. Biomed. Health Informatics, 2025)

Beyond the First Read: AI-Assisted Perceptual Error Detection in Chest Radiography Accounting for Interobserver Variability. - Adhrith Vutukuri; Akash Awasthi; David Yang; Carol C. Wu; Hien Van Nguyen (CoRR, 2025)

MAARTA:Multi-Agentic Adaptive Radiology Teaching Assistant. - Akash Awasthi; Brandon V. Chang; Anh M. Vu; Ngan Le; Rishi Agrawal; Zhigang Deng 001; Carol C. Wu; Hien Van Nguyen (CoRR, 2025)

Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis. - Trong-Thang Pham; Anh Nguyen 003; Zhigang Deng 001; Carol C. Wu; Hien Van Nguyen; Ngan Le (CoRR, 2025)

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling. - Trong-Thang Pham; Akash Awasthi; Saba Khan; Esteban Duran Marti; Tien-Phat Nguyen; Khoa Vo 001; Minh Tran; Ngoc Son Nguyen; Cuong Tran Van; Yuki Ikebe; Anh Totti Nguyen; Anh Nguyen 003; et al. (CoRR, 2025)