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Mukherjee, Sach
132
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Online (132)
Mediatypes
E-Books (1)
Articles (Online) (44)
Bookchapter (Online) (4)
OpenAccess-fulltext (83)
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1
Challenges of deep unsupervised optical flow estimation for..:
Lagemann, Christian
;
Lagemann, Kai
;
Mukherjee, Sach
.
Experiments in Fluids. 65 (2024) 3 - p. , 2024
Link:
https://doi.org/10.1007/..
?
2
Development and validation of a reliable DNA copy-number-ba..:
Young, Cameron C.
;
Eason, Katherine
;
Manzano Garcia, Raquel
...
Scientific Reports. 14 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1038/..
?
3
Improved baselines for causal structure learning on interve..:
Richter, Robin
;
Bhamidi, Shankar
;
Mukherjee, Sach
Statistics and Computing. 33 (2023) 5 - p. , 2023
Link:
https://doi.org/10.1007/..
?
4
Deep learning of causal structures in high dimensions under..:
Lagemann, Kai
;
Lagemann, Christian
;
Taschler, Bernd
.
Nature Machine Intelligence. 5 (2023) 11 - p. 1306-1316 , 2023
Link:
https://doi.org/10.1038/..
?
5
Human variation in population-wide gene expression data pre..:
Bonaguro, Lorenzo
;
Schulte-Schrepping, Jonas
;
Carraro, Caterina
...
iScience. 25 (2022) 11 - p. 105328 , 2022
Link:
https://doi.org/10.1016/..
?
6
Generalization of deep recurrent optical flow estimation fo..:
Lagemann, Christian
;
Lagemann, Kai
;
Mukherjee, Sach
.
Measurement Science and Technology. 33 (2022) 9 - p. 094003 , 2022
Link:
https://doi.org/10.1088/..
?
7
Decoding mechanism of action and sensitivity to drug candid..:
Carraro, Caterina
;
Bonaguro, Lorenzo
;
Schulte-Schrepping, Jonas
...
eLife. 11 (2022) - p. , 2022
Link:
https://doi.org/10.7554/..
?
8
Tailored Bayes: a risk modeling framework under unequal mis..:
Karapanagiotis, Solon
;
Benedetto, Umberto
;
Mukherjee, Sach
..
Biostatistics. 24 (2021) 1 - p. 85-107 , 2021
Link:
https://doi.org/10.1093/..
?
9
Deep recurrent optical flow learning for particle image vel..:
Lagemann, Christian
;
Lagemann, Kai
;
Mukherjee, Sach
.
Nature Machine Intelligence. 3 (2021) 7 - p. 641-651 , 2021
Link:
https://doi.org/10.1038/..
?
10
Scalable Prediction of Acute Myeloid Leukemia Using High-Di..:
Warnat-Herresthal, Stefanie
;
Perrakis, Konstantinos
;
Taschler, Bernd
...
iScience. 23 (2020) 1 - p. 100780 , 2020
Link:
https://doi.org/10.1016/..
?
11
Scalable Bayesian Regression in High Dimensions With Multip..:
Perrakis, Konstantinos
;
Mukherjee, Sach
;
The Alzheimer's Disease Neuroimaging Initiative
Journal of Computational and Graphical Statistics. 29 (2019) 1 - p. 28-39 , 2019
Link:
https://doi.org/10.1080/..
?
12
High-dimensional regression in practice: an empirical study..:
Wang, Fan
;
Mukherjee, Sach
;
Richardson, Sylvia
.
Statistics and Computing. 30 (2019) 3 - p. 697-719 , 2019
Link:
https://doi.org/10.1007/..
?
13
SCCA-Ref: Novel Sparse Canonical Correlation Analysis with ..:
, In:
Machine Learning in Medical Imaging; Lecture Notes in Computer Science
,
Sanroma, Gerard
;
Rutten-Jacobs, Loes
;
Lohner, Valerie
... - p. 81-88 , 2018
Link:
https://doi.org/10.1007/..
?
14
The joint lasso: high-dimensional regression for group stru..:
Dondelinger, Frank
;
Mukherjee, Sach
;
The Alzheimer's Disease Neuroimaging Initiative
Biostatistics. 21 (2018) 2 - p. 219-235 , 2018
Link:
https://doi.org/10.1093/..
?
15
Correction: Decoupling of the PI3K Pathway via Mutation Nec..:
Korkola, James E.
;
Collisson, Eric A.
;
Heiser, Laura M.
...
PLOS ONE. 12 (2017) 10 - p. e0186551 , 2017
Link:
https://doi.org/10.1371/..
1-15