| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2025 | — | conf |
MICCAI (12)
|
| 2025 | J | jnl |
CoRR
|
| 2025 | A | conf |
AISTATS
|
| 2025 | — | conf |
ISBI
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Int. J. Approx. Reason.
|
| 2025 | J | jnl |
Entropy
|
| 2025 | J | jnl |
On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data.
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | — | conf |
MICCAI (3)
|
| 2025 | J | jnl |
CoRR
|
| 2024 | B | conf |
ICIP
|
| 2024 | J | jnl |
Monte Carlo Methods Appl.
|
| 2024 | J | jnl |
Entropy
|
| 2024 | Misc | conf |
ICASSP
|
| 2024 | J | jnl |
Bioinform.
|
| 2024 | J | jnl |
CoRR
|
| 2024 | B | conf |
ICIP
|
| 2024 | B | conf |
ICIP
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Frontiers Neuroinformatics
|
| 2024 | — | conf |
BIBM
|
| 2024 | — | conf |
TGI3@MICCAI
|
| 2024 | — | conf |
ISBI
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Frontiers Artif. Intell.
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Entropy
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2022 | J | jnl |
CoRR
|
| 2019 | A* | conf |
NeurIPS
|
| 2018 | J | jnl |
CoRR
|
| 2017 | J | jnl |
IEEE Trans. Biomed. Eng.
|
| 2015 | J | jnl |
NeuroImage
|
| 2015 | — | conf |
ISBI
|
| 2014 | J | jnl |
Neural Comput.
|
| 2013 | J | jnl |
Frontiers Comput. Neurosci.
|
| 2013 | J | jnl |
IEEE Trans. Signal Process.
|
| 2013 | J | jnl |
NeuroImage
|
| 2012 | J | jnl |
NeuroImage
|
| 2011 | J | jnl |
Stat. Anal. Data Min.
|
| 2011 | J | jnl |
NeuroImage
|
| 2010 | J | jnl |
NeuroImage
|
| 2008 | J | jnl |
IEEE Trans. Signal Process.
|
| 2008 | J | jnl |
Technometrics
|
| 2008 | J | jnl |
NeuroImage
|
| 2006 | J | jnl |
IEEE Trans. Signal Process.
|
| 2006 | J | jnl |
Comput. Stat. Data Anal.
|
| 2005 | J | jnl |
NeuroImage
|
| 2003 | J | jnl |
NeuroImage
|