80 citations · 188 across the 7 of their papers we have counts for
7 papers
Light-Field Microscopy for optical imaging of neuronal activity: when model-based methods meet data-driven approaches
Pingfan Song, Herman Verinaz Jadan, Carmel L. Howe +2
Understanding how networks of neurons process information is one of the key challenges in modern neuroscience. A necessary step to achieve this goal is to be able to observe the dy…
Model-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization
Pingfan Song, Herman Verinaz Jadan, Carmel L. Howe +3
Light-field microscopes are able to capture spatial and angular information of incident light rays. This allows reconstructing 3D locations of neurons from a single snap-shot.In th…
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting
Pingfan Song, Yonina C. Eldar, Gal Mazor +1
Purpose: Magnetic resonance fingerprinting (MRF) methods typically rely on dictio-nary matching to map the temporal MRF signals to quantitative tissue parameters. Such approaches s…
Multimodal Image Denoising based on Coupled Dictionary Learning
Pingfan Song, Miguel R. D. Rodrigues
In this paper, we propose a new multimodal image denoising approach to attenuate white Gaussian additive noise in a given image modality under the aid of a guidance image modality.…
Coupled Dictionary Learning for Multi-contrast MRI Reconstruction
Pingfan Song, Lior Weizman, Joao F. C. Mota +2
Medical imaging tasks often involve multiple contrasts, such as T1- and T2-weighted magnetic resonance imaging (MRI) data. These contrasts capture information associated with the s…
Multi-modal Image Processing based on Coupled Dictionary Learning
Pingfan Song, Miguel R. D. Rodrigues
In real-world scenarios, many data processing problems often involve heterogeneous images associated with different imaging modalities. Since these multimodal images originate from…
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries
Pingfan Song, Xin Deng, João F. C. Mota +3
Real-world data processing problems often involve various image modalities associated with a certain scene, including RGB images, infrared images or multi-spectral images. The fact…