activity
20182021
most citedModel-inspired Deep Learning for Light-Field Microscopy with Application to Neuron Localization

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

eess.IV20213 cited

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…

eess.IV2019

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…

cs.CV2018

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.…

cs.CV2018

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…

cs.CV2018

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…