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2020 – today
- 2024
[j15]Son T. Ly
, Bai Lin, Hung Q. Vo, Dragan Maric, Badrinath Roysam, Hien Van Nguyen:
Cellular data extraction from multiplexed brain imaging data using self-supervised Dual-loss Adaptive Masked Autoencoder. Artif. Intell. Medicine 151: 102828 (2024)- [c28]Hien Van Nguyen, Thinh Quoc Huynh, Nhat Minh Nguyen, Anh Kim Su, Hai Thanh Nguyen:
Comparative Analysis of Fine-Tuned MobileNet Versions on Fish Disease Detection. IMIS 2024: 201-212 - [c27]Akash Awasthi, Safwan Ahmad, Bryant Le, Hien Van Nguyen:
Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-Ray Image Analysis. ISBI 2024: 1-5 - [c26]Akash Awasthi, Son T. Ly, Jaer Nizam, Videet Mehta, Safwan Ahmad, Ramakrishna Nemani, Saurabh Prasad, Hien Van Nguyen:
Anomaly Detection in Satellite Videos Using Diffusion Models. MMSP 2024: 1-6 - [i20]Akash Awasthi, Safwan Ahmad, Bryant Le, Hien Van Nguyen:
Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis. CoRR abs/2404.18981 (2024) - [i19]Akash Awasthi, Ngan Le, Zhigang Deng, Carol C. Wu, Hien Van Nguyen:
Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction. CoRR abs/2406.19686 (2024) - [i18]Akash Awasthi, Ngan Le, Zhigang Deng, Rishi Agrawal, Carol C. Wu, Hien Van Nguyen:
Multimodal Learning and Cognitive Processes in Radiology: MedGaze for Chest X-ray Scanpath Prediction. CoRR abs/2407.00129 (2024) - 2023
- [j14]Samira Zare, Hien Van Nguyen:
Evaluating and Improving Domain Invariance in Contrastive Self-Supervised Learning by Extrapolating the Loss Function. IEEE Access 11: 137758-137768 (2023) - [j13]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:
Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy. Comput. Methods Programs Biomed. 242: 107814 (2023) - [i17]Akash Awasthi, Son Ly, Jaer Nizam, Samira Zare, Videet Mehta, Safwan Ahmed, Keshav Shah, Ramakrishna Nemani, Saurabh Prasad, Hien Van Nguyen:
Anomaly Detection in Satellite Videos using Diffusion Models. CoRR abs/2306.05376 (2023) - [i16]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:
Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs). CoRR abs/2311.14971 (2023) - 2022
- [j12]Pengyu Yuan, Shirui Wang, Wenyi Hu, Prashanth Nadukandi, German Ocampo Botero, Xuqing Wu, Hien Van Nguyen, Jiefu Chen:
Self-Supervised Learning for Efficient Antialiasing Seismic Data Interpolation. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [c25]Samira Zare, Hien Van Nguyen:
Removal of Confounders via Invariant Risk Minimization for Medical Diagnosis. MICCAI (8) 2022: 578-587 - [e4]Hien Van Nguyen, Sharon Xiaolei Huang, Yuan Xue:
Data Augmentation, Labelling, and Imperfections - Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13567, Springer 2022, ISBN 978-3-031-17026-3 [contents] - [i15]Son T. Ly, Bai Lin, Hung Q. Vo, Maric Dragan, Badri Roysam, Hien Van Nguyen:
Student Collaboration Improves Self-Supervised Learning: Dual-Loss Adaptive Masked Autoencoder for Brain Cell Image Analysis. CoRR abs/2205.05194 (2022) - [i14]Syed Asad Rizvi, Akash Awasthi, Maria J. Peláez, Zhihui Wang, Vittorio Cristini, Hien Van Nguyen, Prashant Dogra:
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics. CoRR abs/2210.10888 (2022) - 2021
- [j11]S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache:
Deep reinforcement learning in medical imaging: A literature review. Medical Image Anal. 73: 102193 (2021) - [j10]Pietro Antonio Cicalese, Aryan Mobiny, Zahed Shahmoradi, Xiongfeng Yi, Chandra Mohan, Hien Van Nguyen:
Kidney Level Lupus Nephritis Classification Using Uncertainty Guided Bayesian Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 25(2): 315-324 (2021) - [j9]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:
Memory-Augmented Capsule Network for Adaptable Lung Nodule Classification. IEEE Trans. Medical Imaging 40(10): 2869-2879 (2021) - [c24]Hung Q. Vo, Pengyu Yuan, Tiancheng He, Stephen T. C. Wong, Hien Van Nguyen:
Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks. BHI 2021: 1-4 - [c23]Ngan Le, James Sorensen, Toan Duc Bui, Arabinda Choudhary, Khoa Luu, Hien Van Nguyen:
PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing. ICIP 2021: 215-219 - [c22]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:
MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors. MICCAI (8) 2021: 319-328 - [c21]Xinyue Zhang, Jiahao Ding, Maoqiang Wu, Stephen T. C. Wong, Hien Van Nguyen, Miao Pan:
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data. WACV 2021: 1168-1177 - [e3]Sandy Engelhardt, Ilkay Öksüz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Van Nguyen, Raphael Sznitman, Yuan Xue:
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13003, Springer 2021, ISBN 978-3-030-88209-9 [contents] - [i13]S. Kevin Zhou, T. Hoang Ngan Le, Khoa Luu, Hien Van Nguyen, Nicholas Ayache:
Deep reinforcement learning in medical imaging: A literature review. CoRR abs/2103.05115 (2021) - [i12]Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, Hien Van Nguyen:
First arrival picking using U-net with Lovasz loss and nearest point picking method. CoRR abs/2104.02805 (2021) - [i11]Samira Zare, Hien Van Nguyen:
PICASO: Permutation-Invariant Cascaded Attentional Set Operator. CoRR abs/2107.08305 (2021) - [i10]Hung Q. Vo, Pengyu Yuan, Tiancheng He, Stephen T. C. Wong, Hien Van Nguyen:
Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks. CoRR abs/2108.09591 (2021) - 2020
- [j8]Xunsheng Du, Hien Van Nguyen, Chunxiao Jiang, Yong Li, F. Richard Yu, Zhu Han:
Virtual Relay Selection in LTE-V: A Deep Reinforcement Learning Approach to Heterogeneous Data. IEEE Access 8: 102477-102492 (2020) - [j7]Aryan Mobiny, Hengyang Lu, Hien Van Nguyen, Badrinath Roysam, Navin Varadarajan:
Automated Classification of Apoptosis in Phase Contrast Microscopy Using Capsule Network. IEEE Trans. Medical Imaging 39(1): 1-10 (2020) - [c20]Poojan Oza, Hien Van Nguyen, Vishal M. Patel:
Multiple Class Novelty Detection Under Data Distribution Shift. ECCV (7) 2020: 432-449 - [c19]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:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [c18]Leila Saadatifard, Aryan Mobiny, Pavel A. Govyadinov, Hien Van Nguyen, David Mayerich:
Cellular/Vascular Reconstruction Using a Deep CNN for Semantic Image Preprocessing and Explicit Segmentation. MLMIR@MICCAI 2020: 134-144 - [c17]Aryan Mobiny, Pengyu Yuan, Pietro Antonio Cicalese, Hien Van Nguyen:
DECAPS: Detail-Oriented Capsule Networks. MICCAI (1) 2020: 148-158 - [c16]Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan, Jan U. Becker, Chandra Mohan, Hien Van Nguyen:
StyPath: Style-Transfer Data Augmentation for Robust Histology Image Classification. MICCAI (5) 2020: 351-361 - [c15]Pengyu Yuan, Aryan Mobiny, Jahandar Jahanipour, Xiaoyang Li, Pietro Antonio Cicalese, Badrinath Roysam, Vishal M. Patel, Maric Dragan, Hien Van Nguyen:
Few Is Enough: Task-Augmented Active Meta-learning for Brain Cell Classification. MICCAI (1) 2020: 367-377 - [e2]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:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents] - [i9]Leila Saadatifard, Aryan Mobiny, Pavel A. Govyadinov, Hien Van Nguyen, David Mayerich:
DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction. CoRR abs/2002.01568 (2020) - [i8]Aryan Mobiny, Pietro Antonio Cicalese, Samira Zare, Pengyu Yuan, Mohammadsajad Abavisani, Carol C. Wu, Jitesh Ahuja, Patricia M. de Groot, Hien Van Nguyen:
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks. CoRR abs/2004.07407 (2020) - [i7]Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan, Jan U. Becker, Chandra Mohan, Hien Van Nguyen:
StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification. CoRR abs/2007.05008 (2020) - [i6]Pengyu Yuan, Aryan Mobiny, Jahandar Jahanipour, Xiaoyang Li, Pietro Antonio Cicalese, Badrinath Roysam, Vishal M. Patel, Maric Dragan, Hien Van Nguyen:
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification. CoRR abs/2007.05009 (2020) - [i5]Aryan Mobiny, Pengyu Yuan, Pietro Antonio Cicalese, Hien Van Nguyen:
DECAPS: Detail-Oriented Capsule Networks. CoRR abs/2007.05343 (2020) - [i4]Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Van Nguyen, Rong Yu, Miao Pan, Stephen T. Wong:
Evaluation of Inference Attack Models for Deep Learning on Medical Data. CoRR abs/2011.00177 (2020)
2010 – 2019
- 2019
- [c14]Ilker Gurcan, Hien Van Nguyen:
Surgical Activities Recognition Using Multi-scale Recurrent Networks. ICASSP 2019: 2887-2891 - [e1]Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le:
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11795, Springer 2019, ISBN 978-3-030-33390-4 [contents] - [i3]Aryan Mobiny, Hien Van Nguyen, Supratik Moulik, Naveen Garg, Carol C. Wu:
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks. CoRR abs/1906.04569 (2019) - 2018
- [c13]Aryan Mobiny, Hien Van Nguyen:
Fast CapsNet for Lung Cancer Screening. MICCAI (2) 2018: 741-749 - [i2]Aryan Mobiny, Hien Van Nguyen:
Fast CapsNet for Lung Cancer Screening. CoRR abs/1806.07416 (2018) - 2017
- [c12]Xunsheng Du, Huaqing Zhang, Hien Van Nguyen, Zhu Han:
Stacked LSTM Deep Learning Model for Traffic Prediction in Vehicle-to-Vehicle Communication. VTC Fall 2017: 1-5 - [p1]Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou:
Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis. Deep Learning for Medical Image Analysis 2017: 381-403 - [i1]Aryan Mobiny, Supratik Moulik, Ilker Gurcan, Tanay Shah, Hien Van Nguyen:
Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks. CoRR abs/1710.05719 (2017) - 2015
- [j6]Vishal M. Patel, Hien Van Nguyen, René Vidal:
Latent Space Sparse and Low-Rank Subspace Clustering. IEEE J. Sel. Top. Signal Process. 9(4): 691-701 (2015) - [j5]Sumit Shekhar, Vishal M. Patel, Hien Van Nguyen, Rama Chellappa:
Coupled Projections for Adaptation of Dictionaries. IEEE Trans. Image Process. 24(10): 2941-2954 (2015) - [j4]Hien Van Nguyen, Huy Tho Ho, Vishal M. Patel, Rama Chellappa:
DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning. IEEE Trans. Image Process. 24(12): 5479-5491 (2015) - [c11]Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou:
Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. ICCV 2015: 630-638 - [c10]Hien Van Nguyen, Shaohua Kevin Zhou, Raviteja Vemulapalli:
Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network. MICCAI (1) 2015: 677-684 - 2014
- [c9]Hien Van Nguyen, Vishal M. Patel:
Max residual classifier. WACV 2014: 580-587 - 2013
- [b1]Hien Van Nguyen:
Non-linear and Sparse Representations for Multi-Modal Recognition. University of Maryland, College Park, MD, USA, 2013 - [j3]Hien Van Nguyen, Fatih Porikli:
Support Vector Shape: A Classifier-Based Shape Representation. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 970-982 (2013) - [j2]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:
A comparison of methods for non-rigid 3D shape retrieval. Pattern Recognit. 46(1): 449-461 (2013) - [j1]Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Design of Non-Linear Kernel Dictionaries for Object Recognition. IEEE Trans. Image Process. 22(12): 5123-5135 (2013) - [c8]Sumit Shekhar, Vishal M. Patel, Hien Van Nguyen, Rama Chellappa:
Generalized Domain-Adaptive Dictionaries. CVPR 2013: 361-368 - [c7]Vishal M. Patel, Hien Van Nguyen, René Vidal:
Latent Space Sparse Subspace Clustering. ICCV 2013: 225-232 - 2012
- [c6]Ashish Shrivastava, Hien Van Nguyen, Vishal M. Patel, Rama Chellappa:
Design of Non-Linear Discriminative Dictionaries for Image Classification. ACCV (1) 2012: 660-674 - [c5]Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction. ECCV (6) 2012: 414-427 - [c4]Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Kernel dictionary learning. ICASSP 2012: 2021-2024 - 2011
- [c3]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:
SHREC '11 Track: Shape Retrieval on Non-rigid 3D Watertight Meshes. 3DOR@Eurographics 2011: 79-88 - [c2]Hien Van Nguyen, Fatih Porikli:
Concentric ring signature descriptor for 3D objects. ICIP 2011: 2893-2896 - 2010
- [c1]Hien Van Nguyen, Amit Banerjee, Rama Chellappa:
Tracking via object reflectance using a hyperspectral video camera. CVPR Workshops 2010: 44-51
Coauthor Index
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