A random demodulation hardware system with automatic synchronization function. - Ning Fu; Pingfan Song; Jingchao Zhang; Ying Liu; Gang Wang (I2MTC, 2013)

Boost the efficiency of spectrum sensing using synchronized random demodulation. - Ning Fu; Pingfan Song; Peizhuo Liu; Jingchao Zhang; Xiyuan Peng; Gang Wang (DSP, 2014)

Coupled dictionary learning for multimodal image super-resolution. - Pingfan Song; João F. C. Mota; Nikos Deligiannis; Miguel R. D. Rodrigues (GlobalSIP, 2016)

Measurement matrix design for compressive sensing with side information at the encoder. - Pingfan Song; João F. C. Mota; Nikos Deligiannis; Miguel Raul Dias Rodrigues (SSP, 2016)

Multimodal Image Denoising Based on Coupled Dictionary Learning. - Pingfan Song; Miguel R. D. Rodrigues (ICIP, 2018)

Multi-Modal Image Processing Based on Coupled Dictionary Learning. - Pingfan Song; Miguel R. D. Rodrigues (SPAWC, 2018)

Magnetic Resonance Fingerprinting Using a Residual Convolutional Neural Network. - Pingfan Song; Yonina C. Eldar; Gal Mazor; Miguel R. D. Rodrigues (ICASSP, 2019)

HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting. - Pingfan Song; Yonina C. Eldar; Gal Mazor; Miguel R. D. Rodrigues (CoRR, 2019)

Volume Reconstruction for Light Field Microscopy. - Herman Verinaz-Jadan; Pingfan Song; Carmel L. Howe; Amanda J. Foust; Pier Luigi Dragotti (ICASSP, 2020)

Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries. - Pingfan Song; Xin Deng 002; João F. C. Mota; Nikos Deligiannis; Pier Luigi Dragotti; Miguel R. D. Rodrigues (IEEE Trans. Computational Imaging, 2020)

3D Localization for Light-Field Microscopy via Convolutional Sparse Coding on Epipolar Images. - Pingfan Song; Herman Verinaz-Jadan; Carmel L. Howe; Peter Quicke; Amanda J. Foust; Pier Luigi Dragotti (IEEE Trans. Computational Imaging, 2020)

RADAR: Robust Algorithm for Depth Image Super Resolution Based on FRI Theory and Multimodal Dictionary Learning. - Xin Deng 002; Pingfan Song; Miguel R. D. Rodrigues; Pier Luigi Dragotti (IEEE Trans. Circuits Syst. Video Technol., 2020)

Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. - Pingfan Song; Lior Weizman; João F. C. Mota; Yonina C. Eldar; Miguel R. D. Rodrigues (IEEE Trans. Medical Imaging, 2020)

Model-Inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization. - Pingfan Song; Herman Verinaz-Jadan; Carmel L. Howe; Peter Quicke; Amanda J. Foust; Pier Luigi Dragotti (ICASSP, 2021)

Deep Learning For Light Field Microscopy Using Physics-Based Models. - Herman Verinaz-Jadan; Pingfan Song; Carmel L. Howe; Peter Quicke; Amanda J. Foust; Pier Luigi Dragotti (ISBI, 2021)

Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches. - Pingfan Song; Herman Verinaz-Jadan; Carmel L. Howe; Amanda J. Foust; Pier Luigi Dragotti (IEEE Signal Process. Mag., 2022)

Shift-Invariant-Subspace Discretization and Volume Reconstruction for Light Field Microscopy. - Herman Verinaz-Jadan; Pingfan Song; Carmel L. Howe; Amanda J. Foust; Pier Luigi Dragotti (IEEE Trans. Computational Imaging, 2022)

Light-field microscopy data. - Pingfan Song (IEEE DataPort, 2022)

Physics-Based Decoding Improves Magnetic Resonance Fingerprinting. - Juyeon Heo; Pingfan Song; Weiyang Liu; Adrian Weller (MICCAI (2), 2023)

Physics-Based Deep Learning for Imaging Neuronal Activity via Two-Photon and Light Field Microscopy. - Herman Verinaz-Jadan; Carmel L. Howe; Pingfan Song; Flavie Lesept; Josef Kittler; Amanda J. Foust; Pier Luigi Dragotti (IEEE Trans. Computational Imaging, 2023)

Model-Based Explainable Deep Learning for Light-Field Microscopy Imaging. - Pingfan Song; Herman Verinaz-Jadan; Carmel L. Howe; Amanda J. Foust; Pier Luigi Dragotti (IEEE Trans. Image Process., 2024)

Ankle Kinematics Estimation Using Artificial Neural Network and Multimodal IMU Data. - Lefan Wang; Pingfan Song; Thomas Stone; Adrian Weller; Sebastian W. Pattinson (IEEE J. Biomed. Health Informatics, 2025)