Nguyen P. Nguyen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 13

Top Topics

Classification Process

Electron Micrographs

Computed Tomography Scans

Top Venues

Publications

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)
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)
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)
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)
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 (2022)
Mauro Lemus Alarcon, Songjie Wang, Nguyen P. Nguyen, Ashish Pandey, Filiz Bunyak, Matthew R. Maschmann, Kannappan Palaniappan, Prasad Calyam
Remote Instrumentation Science Environment for Intelligent Image Analytics. e-Science (2022)
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)
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, Dorin Comaniciu, Eli Gibson
Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. ICCVW (2021)
Nguyen P. Nguyen, Ilker Ersoy, Jacob Gotberg, Filiz Bunyak, Tommi A. White
DRPnet: automated particle picking in cryo-electron micrographs using deep regression. BMC Bioinform. 22 (1) (2021)
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. 3DOR (2021)
Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak
Mitochondria Instance Segmentation in Electron Microscopy Image Volumes using 3D Deep Learning Networks. AIPR (2021)
Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Yu Hao, Xiaohua Wan, Xuefeng Cui, Fa Zhang, Emmanuel Moebel, Xiao Wang, Daisuke Kihara, Xiangrui Zeng, Min Xu, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak
SHREC 2020: Classification in cryo-electron tomograms. Comput. Graph. 91 (2020)
Nguyen P. Nguyen, Ilker Ersoy, Tommi A. White, Filiz Bunyak
Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression. BIBM (2018)