Hien Van Nguyen

Orcid: 0000-0001-7280-2182

According to our database1, Hien Van Nguyen authored at least 58 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multimodal Learning and Cognitive Processes in Radiology: MedGaze for Chest X-ray Scanpath Prediction.
CoRR, 2024

Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction.
CoRR, 2024

Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder.
Artif. Intell. Medicine, 2024

Anomaly Detection in Satellite Videos Using Diffusion Models.
Proceedings of the 26th IEEE International Workshop on Multimedia Signal Processing, 2024

Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-Ray Image Analysis.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Comparative Analysis of Fine-Tuned MobileNet Versions on Fish Disease Detection.
Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2024

2023
Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy.
Comput. Methods Programs Biomed., December, 2023

Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs).
CoRR, 2023

Anomaly Detection in Satellite Videos using Diffusion Models.
CoRR, 2023

Evaluating and Improving Domain Invariance in Contrastive Self-Supervised Learning by Extrapolating the Loss Function.
IEEE Access, 2023

2022
Self-Supervised Learning for Efficient Antialiasing Seismic Data Interpolation.
IEEE Trans. Geosci. Remote. Sens., 2022

Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics.
CoRR, 2022

Student Collaboration Improves Self-Supervised Learning: Dual-Loss Adaptive Masked Autoencoder for Brain Cell Image Analysis.
CoRR, 2022

Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification.
IEEE Trans. Medical Imaging, 2021

Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2021

Deep reinforcement learning in medical imaging: A literature review.
Medical Image Anal., 2021

PICASO: Permutation-Invariant Cascaded Attentional Set Operator.
CoRR, 2021

First arrival picking using U-net with Lovasz loss and nearest point picking method.
CoRR, 2021

Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors.
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.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks.
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.
IEEE Trans. Medical Imaging, 2020

Evaluation of Inference Attack Models for Deep Learning on Medical Data.
CoRR, 2020

Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks.
CoRR, 2020

DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction.
CoRR, 2020

Virtual Relay Selection in LTE-V: A Deep Reinforcement Learning Approach to Heterogeneous Data.
IEEE Access, 2020

Few Is Enough: Task-Augmented Active Meta-learning for Brain Cell Classification.
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.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

DECAPS: Detail-Oriented Capsule Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

StyPath: Style-Transfer Data Augmentation for Robust Histology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Multiple Class Novelty Detection Under Data Distribution Shift.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks.
CoRR, 2019

Surgical Activities Recognition Using Multi-scale Recurrent Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Fast CapsNet for Lung Cancer Screening.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks.
CoRR, 2017

Stacked LSTM Deep Learning Model for Traffic Prediction in Vehicle-to-Vehicle Communication.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2015
Coupled Projections for Adaptation of Dictionaries.
IEEE Trans. Image Process., 2015

DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning.
IEEE Trans. Image Process., 2015

Latent Space Sparse and Low-Rank Subspace Clustering.
IEEE J. Sel. Top. Signal Process., 2015

Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Unsupervised Cross-Modal Synthesis of Subject-Specific Scans.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Max residual classifier.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

2013
Non-linear and Sparse Representations for Multi-Modal Recognition.
PhD thesis, 2013

Design of Non-Linear Kernel Dictionaries for Object Recognition.
IEEE Trans. Image Process., 2013

A comparison of methods for non-rigid 3D shape retrieval.
Pattern Recognit., 2013

Support Vector Shape: A Classifier-Based Shape Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Latent Space Sparse Subspace Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Generalized Domain-Adaptive Dictionaries.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Kernel dictionary learning.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction.
Proceedings of the Computer Vision - ECCV 2012, 2012

Design of Non-Linear Discriminative Dictionaries for Image Classification.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Concentric ring signature descriptor for 3D objects.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

SHREC '11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes.
Proceedings of the 4th Eurographics Workshop on 3D Object Retrieval, 2011

2010
Tracking via object reflectance using a hyperspectral video camera.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010


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