Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
1908.00975
Cited By

Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic
Imaging in vivo

Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo

2 August 2019

Fei Gao

ArXiv (abs)PDF HTML

Papers citing "Y-Net: A Hybrid Deep Learning Reconstruction Framework for Photoacoustic Imaging in vivo"

5 / 5 papers shown

Xi-Net: Transformer Based Seismic Waveform Reconstructor

Xi-Net: Transformer Based Seismic Waveform ReconstructorInternational Conference on Information Photonics (ICIP), 2023

Anshuman Gaharwar

Mubarak Shah

260

3

0

14 Jun 2024

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for
Standardized Image Processing

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing

X. L. Deán-Ben

Fernando Perez-Cruz

174

9

0

17 Jun 2022

On Learning the Invisible in Photoacoustic Tomography with Flat
Directionally Sensitive Detector

On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive DetectorSIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2022

355

3

0

21 Apr 2022

Deep Learning in Photoacoustic Tomography: Current approaches and future
directions

Deep Learning in Photoacoustic Tomography: Current approaches and future directionsJournal of Biomedical Optics (JBO), 2020

259

150

0

16 Sep 2020

Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of
Geometry and Segmentation of Annotations

Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations

Lawrence Carin

260

3

0

08 May 2020

Page 1 of 1