Hien Van Nguyen

According to our database, Hien Van Nguyen authored at least 52 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Mattia Rossi, Albino Eccher, Feifei Li, Adamantios Koumpis, Oya Beyan, Jonathan Barratt, Huy Quoc Vo, Chandra Mohan, Hien Van Nguyen, Pietro Antonio Cicalese, Angela Ernst, Loreto Gesualdo, Vitoantonio Bevilacqua, Jan Ulrich Becker

Comput. Methods Programs Biomed., December, 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, Vitoantonio Bevilacqua, Nicola Altini, Bernd Schröppel, Dario Roccatello, Antonella Barreca, Savino Sciascia, Chandra Mohan, Hien Van Nguyen, Jan U. Becker

CoRR, 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

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

Samira Zare, Hien Van Nguyen

IEEE Access, 2023

2022

Self-Supervised Learning for Efficient Antialiasing Seismic Data Interpolation.

Pengyu Yuan, Shirui Wang, Wenyi Hu, Prashanth Nadukandi, German Ocampo Botero, Xuqing Wu, Hien Van Nguyen, Jiefu Chen

IEEE Trans. Geosci. Remote. Sens., 2022

Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics.

Syed Asad Rizvi, Akash Awasthi, Maria J. Peláez, Zhihui Wang, Vittorio Cristini, Hien Van Nguyen, Prashant Dogra

CoRR, 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

Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis.

Samira Zare, Hien Van Nguyen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

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

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

PICASO: Permutation-Invariant Cascaded Attentional Set Operator.

Samira Zare, Hien Van Nguyen

CoRR, 2021

First arrival picking using U-net with Lovasz loss and nearest point picking method.

Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, Hien Van Nguyen

CoRR, 2021

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data.

Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T. C. Wong, Hien Van Nguyen, Miao Pan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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, Hien Van Nguyen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks.

Hung Q. Vo, Pengyu Yuan, Tiancheng He, Stephen T. C. Wong, Hien Van Nguyen

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

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

Evaluation of Inference Attack Models for Deep Learning on Medical Data.

Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong

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

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

Virtual Relay Selection in LTE-V: A Deep Reinforcement Learning Approach to Heterogeneous Data.

Xunsheng Du, Hien Van Nguyen, Chunxiao Jiang, Yong Li, F. Richard Yu, Zhu Han

IEEE Access, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

DECAPS: Detail-Oriented Capsule Networks.

Aryan Mobiny, Pengyu Yuan, Pietro Antonio Cicalese, Hien Van Nguyen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.

Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Multiple Class Novelty Detection Under Data Distribution Shift.

Poojan Oza, Hien Van Nguyen, Vishal M. Patel

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Surgical Activities Recognition Using Multi-scale Recurrent Networks.

Ilker Gurcan, Hien Van Nguyen

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Fast CapsNet for Lung Cancer Screening.

Aryan Mobiny, Hien Van Nguyen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks.

Aryan Mobiny, Supratik Moulik, Ilker Gurcan, Tanay Shah, Hien Van Nguyen

CoRR, 2017

Stacked LSTM Deep Learning Model for Traffic Prediction in Vehicle-to-Vehicle Communication.

Xunsheng Du, Huaqing Zhang, Hien Van Nguyen, Zhu Han

Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis.

Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2015

Coupled Projections for Adaptation of Dictionaries.

Sumit Shekhar, Vishal M. Patel, Hien Van Nguyen, Rama Chellappa

IEEE Trans. Image 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

Latent Space Sparse and Low-Rank Subspace Clustering.

Vishal M. Patel, Hien Van Nguyen, René Vidal

IEEE J. Sel. Top. Signal Process., 2015

Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network.

Hien Van Nguyen, Shaohua Kevin Zhou, Raviteja Vemulapalli

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Unsupervised Cross-Modal Synthesis of Subject-Specific Scans.

Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Max residual classifier.

Hien Van Nguyen, Vishal M. Patel

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013

Non-linear and Sparse Representations for Multi-Modal Recognition.

Hien Van Nguyen

PhD thesis, 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

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, Fatih Porikli, Martin Reuter, Ivan Sipiran, Dirk Smeets, Paul Suetens, Hedi Tabia, Dirk Vandermeulen

Pattern Recognit., 2013

Support Vector Shape: A Classifier-Based Shape Representation.

Hien Van Nguyen, Fatih Porikli

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Latent Space Sparse Subspace Clustering.

Vishal M. Patel, Hien Van Nguyen, René Vidal

Proceedings of the IEEE International Conference on Computer Vision, 2013

Generalized Domain-Adaptive Dictionaries.

Sumit Shekhar, Vishal M. Patel, Hien Van Nguyen, Rama Chellappa

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Kernel dictionary learning.

Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction.

Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa

Proceedings of the Computer Vision - ECCV 2012, 2012

Design of Non-Linear Discriminative Dictionaries for Image Classification.

Ashish Shrivastava, Hien Van Nguyen, Vishal M. Patel, Rama Chellappa

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Concentric ring signature descriptor for 3D objects.

Hien Van Nguyen, Fatih Porikli

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

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, Fatih Porikli, Martin Reuter, Ivan Sipiran, Dirk Smeets, Paul Suetens, Hedi Tabia, Dirk Vandermeulen

Proceedings of the 4th Eurographics Workshop on 3D Object Retrieval, 2011

2010

Tracking via object reflectance using a hyperspectral video camera.

Hien Van Nguyen, Amit Banerjee, Rama Chellappa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010