| 2025 | ADMA | Leveraging Deep AUC Maximisation for Enhanced Active Learning in Named Entity Recognition. | Wei Tan, Dan Nguyen, Chen Li, Wray L. Buntine, Haifeng Zhao, Lan Du |
| 2022 | MICCAI | Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement. | Anthony Wang, Ti Bai, Dan Nguyen, Steve B. Jiang |
| 2019 | ESANN | Application of deep neural networks for automatic planning in radiation oncology treatments. | Ana M. Barragan-Montero, Dan Nguyen, Weiguo Lu, Mu-Han Lin, Xavier Geets, Edmond Sterpin, Steve B. Jiang |
| 2019 | MICCAI | Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation. | Xiaoqian Jia, Sicheng Wang, Xiao Liang, Anjali Balagopal, Dan Nguyen, Ming Yang, Zhangyang Wang, Jim Xiuquan Ji, Xiaoning Qian, Steve B. Jiang |
| 2019 | MICCAI | Individualized 3D Dose Distribution Prediction Using Deep Learning. | Jianhui Ma, Ti Bai, Dan Nguyen, Michael Folkerts, Xun Jia, Weiguo Lu, Linghong Zhou, Steve B. Jiang |
| 2019 | MICCAI | Generating Pareto Optimal Dose Distributions for Radiation Therapy Treatment Planning. | Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Chenyang Shen, Xun Jia, Steve B. Jiang |
| 2019 | MICCAI | Using Supervised Learning and Guided Monte Carlo Tree Search for Beam Orientation Optimization in Radiation Therapy. | Azar Sadeghnejad-Barkousaraie, Olalekan P. Ogunmolu, Steve B. Jiang, Dan Nguyen |
| 2019 | MICCAI | A Novel Deep Learning Framework for Standardizing the Label of OARs in CT. | Qiming Yang, Hongyang Chao, Dan Nguyen, Steve B. Jiang |
| 2018 | WAFR | Deep BOO! Automating Beam Orientation Optimization in Intensity-Modulated Radiation Therapy. | Olalekan P. Ogunmolu, Michael Folkerts, Dan Nguyen, Nicholas R. Gans, Steve B. Jiang |
| 2014 | WCNC | SOCP approaches to joint subcarrier allocation and precoder design for downlink OFDMA systems. | Dan Nguyen, Le-Nam Tran, Pekka Pirinen, Matti Latva-aho |