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Nguyen P. Nguyen
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2020 – today
- 2024
- [c10]Mauro Lemus Alarcon, Upasana Roy, Anirudh Kambhampati, Nguyen P. Nguyen, Minasadat Attari, Ramakrishna Surya, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam:
Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing. ICHMS 2024: 1-7 - 2023
- [c9]Minasadat Attari, Nguyen P. Nguyen, Kannappan Palaniappan, Filiz Bunyak:
Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images. AIPR 2023: 1-7 - [c8]Nguyen P. Nguyen, Ramakrishna Surya, Prasad Calyam, Kannappan Palaniappan, Matthew R. Maschmann, Filiz Bunyak
:
CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks. CVPR Workshops 2023: 3428-3437 - 2022
- [c7]Nguyen P. Nguyen, Stephanie Lopez, Catherine L. Smith, Teresa E. Lever, Nicole L. Nichols, Filiz Bunyak
Axon and Myelin Sheath Segmentation in Electron Microscopy Images using Meta Learning. AIPR 2022: 1-6 - [c6]Mauro Lemus Alarcon, Songjie Wang, Nguyen P. Nguyen, Ashish Pandey, Filiz Bunyak
Remote Instrumentation Science Environment for Intelligent Image Analytics. e-Science 2022: 84-94 - [c5]Nguyen P. Nguyen, Ramakrishna Surya, Matthew R. Maschmann, Prasad Calyam, Kannappan Palaniappan, Filiz Bunyak:
Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. ECCV Workshops (8) 2022: 412-428 - [i1]Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang:
SHREC 2021: Classification in cryo-electron tomograms. CoRR abs/2203.10035 (2022) - 2021
- [j2]Nguyen P. Nguyen, Ilker Ersoy, Jacob Gotberg, Filiz Bunyak
DRPnet: automated particle picking in cryo-electron micrographs using deep regression. BMC Bioinform. 22(1): 55 (2021) - [c4]Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak
SHREC 2021: Classification in Cryo-electron Tomograms. 3DOR 2021: 5-17 - [c3]Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak
Mitochondria Instance Segmentation in Electron Microscopy Image Volumes using 3D Deep Learning Networks. AIPR 2021: 1-6 - [c2]Nguyen P. Nguyen, Youngjin Yoo, Andrei Chekkoury, Eva Eibenberger, Thomas J. Re, Jyotipriya Das, Abishek Balachandran, Yvonne W. Lui, Pina C. Sanelli, Thomas J. Schroeppel, Uttam Bodanapally, Savvas Nicolaou, Tommi A. White, Filiz Bunyak
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. ICCVW 2021: 487-495 - 2020
- [j1]Ilja Gubins, Marten L. Chaillet
SHREC 2020: Classification in cryo-electron tomograms. Comput. Graph. 91: 279-289 (2020)
2010 – 2019
- 2018
- [c1]Nguyen P. Nguyen, Ilker Ersoy, Tommi A. White, Filiz Bunyak
Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression. BIBM 2018: 2453-2460
Coauthor Index
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