Automated Particle Picking in Cryo-Electron Micrographs using Deep Regression. - Nguyen P. Nguyen; Ilker Ersoy; Tommi A. White; Filiz Bunyak (BIBM, 2018)

SHREC 2020: Classification in cryo-electron tomograms. - Ilja Gubins; Marten L. Chaillet; Gijs van der Schot; Remco C. Veltkamp; Friedrich Förster; Yu Hao; Xiaohua Wan 001; Xuefeng Cui; Fa Zhang 001; Emmanuel Moebel; Xiao Wang 004; Daisuke Kihara; et al. (Comput. Graph., 2020)

SHREC 2021: Classification in Cryo-electron Tomograms. - Ilja Gubins; Marten L. Chaillet; Gijs van der Schot; M. Cristina Trueba; Remco C. Veltkamp; Friedrich Förster; Xiao Wang 004; Daisuke Kihara; Emmanuel Moebel; Nguyen P. Nguyen; Tommi A. White; Filiz Bunyak; et al. (3DOR, 2021)

Mitochondria Instance Segmentation in Electron Microscopy Image Volumes using 3D Deep Learning Networks. - Nguyen P. Nguyen; Tommi A. White; Filiz Bunyak (AIPR, 2021)

Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans. - 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; et al. (ICCVW, 2021)

DRPnet: automated particle picking in cryo-electron micrographs using deep regression. - Nguyen P. Nguyen; Ilker Ersoy; Jacob Gotberg; Filiz Bunyak; Tommi A. White (BMC Bioinform., 2021)

Axon and Myelin Sheath Segmentation in Electron Microscopy Images using Meta Learning. - Nguyen P. Nguyen; Stephanie Lopez; Catherine L. Smith; Teresa E. Lever; Nicole L. Nichols; Filiz Bunyak (AIPR, 2022)

Remote Instrumentation Science Environment for Intelligent Image Analytics. - Mauro Lemus Alarcon; Songjie Wang; Nguyen P. Nguyen; Ashish Pandey; Filiz Bunyak; Matthew R. Maschmann; Kannappan Palaniappan; Prasad Calyam (e-Science, 2022)

Self-supervised Orientation-Guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery. - Nguyen P. Nguyen; Ramakrishna Surya; Matthew R. Maschmann; Prasad Calyam; Kannappan Palaniappan; Filiz Bunyak (ECCV Workshops (8), 2022)

Multi-Loss Topology-Aware Deep Learning Network for Segmentation of Vessels in Microscopy Images. - Minasadat Attari; Nguyen P. Nguyen; Kannappan Palaniappan; Filiz Bunyak (AIPR, 2023)

CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks. - Nguyen P. Nguyen; Ramakrishna Surya; Prasad Calyam; Kannappan Palaniappan; Matthew R. Maschmann; Filiz Bunyak (CVPR Workshops, 2023)

A Framework for Vietnamese Question-Answering in Law Domain. - Thang V. Q. Le; Dinh-Hong Vu; Van Huy Pham 001; Anh-Cuong Le 001; Nguyen P. Nguyen (DSC, 2024)

Learning-based Image Analytics in User-AI Agent Interactions for Cyber-enabled Manufacturing. - Mauro Lemus Alarcon; Upasana Roy; Anirudh Kambhampati; Nguyen P. Nguyen; Minasadat Attari; Ramakrishna Surya; Filiz Bunyak; Matthew R. Maschmann; Kannappan Palaniappan; Prasad Calyam (ICHMS, 2024)

Enhancing Reading Comprehension of Vietnamese LLMs with Synthetic Data. - Thang V. Q. Le; Nguyen P. Nguyen; Trong-Chi Duong; Anh-Cuong Le 001; Viet-Cuong Nguyen; Viet-Ha Nguyen 001 (KSE, 2024)

Adapting Large Language Models to Vietnamese Law: Pretrained LLM Refinement vs Retrieval Augmented Generation. - Nguyen P. Nguyen; Thang V. Q. Le; Anh-Cuong Le 001; Viet-Ha Nguyen 001; Viet-Cuong Nguyen (KSE, 2024)