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Tiulpin, Aleksei
93
results:
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1
Understanding metric-related pitfalls in image analysis val..:
Reinke, Annika
;
Tizabi, Minu D
;
Baumgartner, Michael
...
info:eu-repo/semantics/altIdentifier/arxiv/2302.01790. , 2023
Link:
https://hal.science/hal-..
?
2
Understanding metric-related pitfalls in image analysis val..:
Reinke, Annika
;
Tizabi, Minu D
;
Baumgartner, Michael
...
10.48550/arXiv.2302.01790. , 2023
Link:
https://hdl.handle.net/1..
?
3
A stronger baseline for automatic Pfirrmann grading of lumb..:
Kowlagi, N. (Narasimharao)
;
Nguyen, H. H. (Huy Hoang)
;
McSweeney, T. (Terence)
...
info:eu-repo/grantAgreement/EC/H2020/955735/EU/Training network to advance integrated computational simulations in translational medicine, applied to intervertebral disc degeneration/Disc4All. , 2023
Link:
http://urn.fi/urn:nbn:fi..
?
4
Consistent and Asymptotically Unbiased Estimation of Proper..:
Popordanoska, Teodora
;
Gruber, Sebastian G
;
Tiulpin, Aleksei
..
http://arxiv.org/abs/2312.08589. , 2023
Link:
http://arxiv.org/abs/231..
?
5
Understanding metric-related pitfalls in image analysis val..:
Reinke, Annika
;
Tizabi, Minu D
;
Baumgartner, Michael
...
info:eu-repo/semantics/altIdentifier/arxiv/2302.01790. , 2023
Link:
https://hal.science/hal-..
?
6
Understanding metric-related pitfalls in image analysis val..:
Reinke, Annika
;
Tizabi, Minu D
;
Baumgartner, Michael
...
https://discovery.ucl.ac.uk/id/eprint/10183142/1/2302.01790-2.pdf. , 2023
Link:
https://discovery.ucl.ac..
?
7
End-To-End Prediction of Knee Osteoarthritis Progression Wi..:
Panfilov, Egor
;
Saarakkala, Simo
;
Nieminen, Miika T
.
http://arxiv.org/abs/2307.00873. , 2023
Link:
http://arxiv.org/abs/230..
?
8
Understanding metric-related pitfalls in image analysis val..:
Reinke, Annika
;
Tizabi, Minu D
;
Baumgartner, Michael
...
http://arxiv.org/abs/2302.01790. , 2023
Link:
http://arxiv.org/abs/230..
?
9
Understanding metric-related pitfalls in image analysis val..:
Reinke, Annika
;
Tizabi, Minu D
;
Baumgartner, Michael
...
info:eu-repo/semantics/altIdentifier/arxiv/2302.01790. , 2023
Link:
https://hal.science/hal-..
?
10
Understanding metric-related pitfalls in image analysis val..:
Reinke, Annika
;
Tizabi, Minu D
;
Baumgartner, Michael
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10029046/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
11
Beyond Classification: Definition and Density-based Estimat..:
Popordanoska, Teodora
;
Tiulpin, Aleksei
;
Blaschko, Matthew B
http://arxiv.org/abs/2312.06645. , 2023
Link:
http://arxiv.org/abs/231..
?
12
Outcome and biomarker supervised deep learning for survival..:
Bychkov, D. (Dmitrii)
;
Joensuu, H. (Heikki)
;
Nordling, S. (Stig)
... , 2022
Link:
http://urn.fi/urn:nbn:fi..
?
13
A Stronger Baseline For Automatic Pfirrmann Grading Of Lumb..:
Kowlagi, Narasimharao
;
Nguyen, Huy Hoang
;
McSweeney, Terence
...
http://arxiv.org/abs/2210.14597. , 2022
Link:
http://arxiv.org/abs/221..
?
14
Outcome and Biomarker Supervised Deep Learning for Survival..:
Bychkov, Dmitrii
;
Joensuu, Heikki
;
Nordling, Stig
...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794033/. , 2022
Link:
http://www.ncbi.nlm.nih...
?
15
Deep semi-supervised active learning for knee osteoarthriti..:
Raisuddin, A. M. (Abu Mohammed)
;
Nguyen, H. H. (Huy Hoang)
;
Tiulpin, A. (Aleksei)
, 2022
Link:
http://urn.fi/urn:nbn:fi..
1-15
