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Machiraju, Gautam
9
results:
Search for persons
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Online (9)
Mediatypes
Articles (Online) (4)
Bookchapter (Online) (1)
OpenAccess-fulltext (4)
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?
1
A deep-learning algorithm to classify skin lesions from mpo..:
Thieme, Alexander H.
;
Zheng, Yuanning
;
Machiraju, Gautam
...
Nature Medicine. 29 (2023) 3 - p. 738-747 , 2023
Link:
https://doi.org/10.1038/..
?
2
A Dataset Generation Framework for Evaluating Megapixel Ima..:
, In:
Lecture Notes in Computer Science; Computer Vision – ECCV 2022
,
Machiraju, Gautam
;
Plevritis, Sylvia
;
Mallick, Parag
- p. 422-442 , 2022
Link:
https://doi.org/10.1007/..
?
3
Developing machine learning models to personalize care leve..:
Nguyen, Minh
;
Corbin, Conor K
;
Eulalio, Tiffany
...
Journal of the American Medical Informatics Association. 28 (2021) 11 - p. 2423-2432 , 2021
Link:
https://doi.org/10.1093/..
?
4
Multicompartment modeling of protein shedding kinetics duri..:
Machiraju, Gautam B.
;
Mallick, Parag
;
Frieboes, Hermann B.
Scientific Reports. 10 (2020) 1 - p. , 2020
Link:
https://doi.org/10.1038/..
?
5
A deep-learning algorithm to classify skin lesions from mpo..:
Thieme, Alexander H
;
Zheng, Yuanning
;
Machiraju, Gautam
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10033450/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
6
Developing machine learning models to personalize care leve..:
Nguyen, Minh
;
Corbin, Conor K
;
Eulalio, Tiffany
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510323/. , 2021
Link:
http://www.ncbi.nlm.nih...
?
7
A deep-learning algorithm to classify skin lesions from mpo..:
Thieme, Alexander Henry
;
Zheng, Yuanning
;
Machiraju, Gautam B
...
Nature Medicine. , 2023
Link:
https://publica.fraunhof..
?
8
Multicompartment modeling of protein shedding kinetics duri..:
Machiraju, Gautam B
;
Mallick, Parag
;
Frieboes, Hermann B
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542472/. , 2020
Link:
http://www.ncbi.nlm.nih...
?
9
Correspondence:
Shatapathy, P.
;
Ferguson, Tom
;
Jonas, Richard A.
...
Indian Journal of Thoracic and Cardiovascular Surgery. 16 (2000) 2 - p. 132-133 , 2000
Link:
https://doi.org/10.1007/..
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