| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0575077 |
| utime |
20240402214344.9 |
| mtime |
20230901235959.9 |
| ISBN |
978-1-7281-6328-4 |
| DOI |
10.1109/ICASSP49357.2023.10095386 |
| title
(primary) (eng) |
Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN |
| publisher |
| place |
Rhodes Island, Greece |
| name |
IEEE |
| pub_time |
2023 |
|
| specification |
| page_count |
5 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0575081 |
| ISBN |
978-1-7281-6327-7 |
| title
|
Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2023 |
|
|
| keyword |
Light-sheet fluorescence microscopy |
| keyword |
Dual-view imaging |
| keyword |
deep learning |
| keyword |
image deconvolution |
| author
(primary) |
| ARLID |
cav_un_auth*0379363 |
| name1 |
Kerepecký |
| name2 |
Tomáš |
| institution |
UTIA-B |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| country |
CZ |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0261977 |
| name1 |
Liu |
| name2 |
J. |
| country |
US |
|
| author
|
| ARLID |
cav_un_auth*0453851 |
| name1 |
Ng |
| name2 |
X. W. |
| country |
US |
|
| author
|
| ARLID |
cav_un_auth*0453852 |
| name1 |
Piston |
| name2 |
D. W. |
| country |
US |
|
| author
|
| ARLID |
cav_un_auth*0453853 |
| name1 |
Kamilov |
| name2 |
U. S. |
| country |
US |
|
| source |
|
| cas_special |
| project |
| project_id |
GA21-03921S |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0412209 |
|
| abstract
(eng) |
Three-dimensional fluorescence microscopy often suffers from anisotropy, where the resolution along the axial direction is lower than that within the lateral imaging plane. We address this issue by presenting Dual-Cycle, a new framework for joint deconvolution and fusion of dual-view fluorescence images. Inspired by the recent Neuroclear method, Dual-Cycle is designed as a cycle-consistent generative network trained in a self-supervised fashion by combining a dual-view generator and prior-guided degradation model. We validate Dual-Cycle on both synthetic and real data showing its state-of-the-art performance without any external training data. |
| action |
| ARLID |
cav_un_auth*0453251 |
| name |
IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2023 /48./ |
| dates |
20230604 |
| mrcbC20-s |
20230610 |
| place |
Rhodes |
| country |
GR |
|
| RIV |
IN |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2024 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0344936 |
| mrcbC61 |
1 |
| cooperation |
| ARLID |
cav_un_auth*0355988 |
| name |
Washington University in St. Louis |
| country |
US |
|
| cooperation |
| ARLID |
cav_un_auth*0332359 |
| name |
Washington University School of Medicine |
| country |
US |
|
| confidential |
S |
| arlyear |
2023 |
| mrcbU02 |
C |
| mrcbU10 |
2023 |
| mrcbU10 |
Rhodes Island, Greece IEEE |
| mrcbU12 |
978-1-7281-6328-4 |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU63 |
cav_un_epca*0575081 Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE 2023 Piscataway 978-1-7281-6327-7 |
|