| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
J. Sci. Comput.
|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
SIAM J. Sci. Comput.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
MICCAI (3)
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Comput. Medical Imaging Graph.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | C | conf |
PDP
|
| 2025 | J | jnl |
To Be or Not to Be Stable, That Is the Question: Understanding Neural Networks for Inverse Problems.
SIAM J. Sci. Comput.
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
J. Imaging
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Algorithms
|
| 2023 | J | jnl |
CoRR
|
| 2023 | — | conf |
SSVM
|
| 2023 | J | jnl |
Comput. Medical Imaging Graph.
|
| 2023 | — | conf |
NUMTA (1)
|
| 2022 | J | jnl |
Image Process. Line
|
| 2022 | J | jnl |
Bioinform.
|
| 2022 | J | jnl |
Appl. Math. Comput.
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
To be or not to be stable, that is the question: understanding neural networks for inverse problems.
CoRR
|
| 2021 | J | jnl |
J. Imaging
|
| 2021 | J | jnl |
J. Imaging
|
| 2021 | J | jnl |
SN Comput. Sci.
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
IEEE Trans. Computational Imaging
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
Medical Image Anal.
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
Remote. Sens.
|
| 2019 | C | conf |
TIME
|
| 2018 | B | conf |
PIMRC
|
| 2017 | J | jnl |
CoRR
|
| 2014 | J | jnl |
Numer. Algorithms
|
| 2014 | J | jnl |
Numer. Algorithms
|
| 2013 | J | jnl |
Numer. Algorithms
|
| 2012 | J | jnl |
Numer. Algorithms
|
| 2005 | J | jnl |
Optim. Methods Softw.
|
| 2005 | J | jnl |
Optim. Methods Softw.
|
| 1995 | — | conf |
PARCO
|
| 1995 | — | conf |
PARCO
|