Private authentication keys based on wearable device EEG recordings. - Hongxu Yang; Vojkan Mihajlovic; Tanya Ignatenko (EUSIPCO, 2017)

Catheter Detection in 3D Ultrasound Using Triplanar-Based Convolutional Neural Networks. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (ICIP, 2018)

Feature study on catheter detection in three-dimensional ultrasound. - Hongxu Yang; Arash Pourtaherian; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (Image-Guided Procedures, 2018)

Efficient Catheter Segmentation in 3D Cardiac Ultrasound using Slice-Based FCN With Deep Supervision and F-Score Loss. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (ICIP, 2019)

Automated Catheter Localization in Volumetric Ultrasound Using 3D Patch-Wise U-Net with Focal Loss. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (ICIP, 2019)

Improving Catheter Segmentation & Localization in 3D Cardiac Ultrasound Using Direction-Fused Fcn. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (ISBI, 2019)

Transferring from ex-vivo to in-vivo: Instrument Localization in 3D Cardiac Ultrasound Using Pyramid-UNet with Hybrid Loss. - Hongxu Yang; Caifeng Shan; Tao Tan 002; Alexander F. Kolen; Peter H. N. de With (MICCAI (5), 2019)

Catheter localization in 3D ultrasound using voxel-of-interest-based ConvNets for cardiac intervention. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (Int. J. Comput. Assist. Radiol. Surg., 2019)

A unified distributed ELM framework with supervised, semi-supervised and unsupervised big data learning. - Zhiqiong Wang; Luxuan Qu; Junchang Xin; Hongxu Yang; Xiaosong Gao (Memetic Comput., 2019)

Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (MICCAI (1), 2020)

Feasibility study of catheter segmentation in 3D Frustum ultrasounds by DCNN. - Lan Min; Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (Image-Guided Procedures, 2020)

Medical Instrument Detection in Ultrasound-Guided Interventions: A Review. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (CoRR, 2020)

Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss. - Hongxu Yang; Caifeng Shan; R. Arthur Bouwman; Alexander F. Kolen; Peter H. N. de With (Medical Image Anal., 2021)

Efficient Medical Instrument Detection in 3D Volumetric Ultrasound Data. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (IEEE Trans. Biomed. Eng., 2021)

Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (Comput. Medical Imaging Graph., 2022)

Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists. - Tao Tan; Bipul Das; Ravi Soni; Mate Fejes; Hongxu Yang; Sohan Ranjan; Daniel Attila Szabo; Vikram Melapudi; K. S. Shriram; Utkarsh Agrawal; László Ruskó; Zita Herczeg; et al. (Neurocomputing, 2022)

Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning. - Hongxu Yang; Caifeng Shan; R. Arthur Bouwman; Lukas R. C. Dekker; Alexander F. Kolen; Peter H. N. de With (IEEE J. Biomed. Health Informatics, 2022)

Medical instrument detection in ultrasound: a review. - Hongxu Yang; Caifeng Shan; Alexander F. Kolen; Peter H. N. de With (Artif. Intell. Rev., 2023)

Zero-Shot Bias Correction: Efficient MR Image Inhomogeneity Reduction without Any Data. - Hongxu Yang; Edina Timko; Brice Fernandez (ISBI, 2025)

Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping. - Hongxu Yang; Najib Akram Aboobacker; Xiaomeng Dong; German Gonzalez; Lehel Ferenczi; Gopal Avinash (CoRR, 2025)

Semisupervised Breast MRI Density Segmentation Integrating Fine and Rough Annotations. - Tianyu Xie 009; Yue Sun; Hongxu Yang; Shuo Li 001; Jinhong Song; Qimin Yang; Hao Chen 037; Mingxiang Wu; Tao Tan 002 (IEEE Trans. Artif. Intell., 2025)