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Albarqouni, Shadi
79
results:
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english (17)
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1
LYSTO: The Lymphocyte Assessment Hackathon and Benchmark Da..:
Jiao, Yiping
;
van der Laak, Jeroen
;
Albarqouni, Shadi
...
http://arxiv.org/abs/2301.06304. , 2023
Link:
http://arxiv.org/abs/230..
?
2
FUTURE-AI: International consensus guideline for trustworth..:
Lekadir, Karim
;
Feragen, Aasa
;
Fofanah, Abdul Joseph
...
http://arxiv.org/abs/2309.12325. , 2023
Link:
http://arxiv.org/abs/230..
?
3
LVM-Med: Learning Large-Scale Self-Supervised Vision Models..:
Nguyen, Duy M. H
;
Nguyen, Hoang
;
Diep, Nghiem T
...
http://arxiv.org/abs/2306.11925. , 2023
Link:
http://arxiv.org/abs/230..
?
4
FUTURE-AI: International consensus guideline for trustworth..:
Lekadir, Karim
;
Feragen, Aasa
;
Fofanah, Abdul Joseph
...
https://pure.eur.nl/en/publications/e9cf4c38-eed4-4644-9f39-1cf349472c9f. , 2023
Link:
https://pure.eur.nl/en/p..
?
5
Anomaly-aware multiple instance learning for rare anemia di..:
Kazeminia, Salome
;
Sadafi, Ario
;
Makhro, Asya
...
http://arxiv.org/abs/2207.01742. , 2022
Link:
http://arxiv.org/abs/220..
?
6
Virtual embeddings and self-consistency for self-supervised..:
Bdair, Tariq
;
Abdelhamid, Hossam
;
Navab, Nassir
.
http://arxiv.org/abs/2206.06023. , 2022
Link:
http://arxiv.org/abs/220..
?
7
FLamby: Datasets and Benchmarks for Cross-Silo Federated Le..:
Terrail, Jean Ogier Du
;
Ayed, Samy-Safwan
;
Cyffers, Edwige
...
Apprentissage automatique décentralisé et préservant la vie privée. , 2022
Link:
https://hdl.handle.net/2..
?
8
Transformer based Models for Unsupervised Anomaly Segmentat..:
Ghorbel, Ahmed
;
Aldahdooh, Ahmed
;
Albarqouni, Shadi
.
http://arxiv.org/abs/2207.02059. , 2022
Link:
http://arxiv.org/abs/220..
?
9
Joint Self-Supervised Image-Volume Representation Learning ..:
Nguyen, Duy M. H
;
Nguyen, Hoang
;
Truong, Mai T. N
...
http://arxiv.org/abs/2212.01893. , 2022
Link:
http://arxiv.org/abs/221..
?
10
FLamby: Datasets and Benchmarks for Cross-Silo Federated Le..:
Terrail, Jean Ogier du
;
Ayed, Samy-Safwan
;
Cyffers, Edwige
...
http://arxiv.org/abs/2210.04620. , 2022
Link:
http://arxiv.org/abs/221..
?
11
FedNorm: Modality-Based Normalization in Federated Learning..:
Bernecker, Tobias
;
Peters, Annette
;
Schlett, Christopher L
...
http://arxiv.org/abs/2205.11096. , 2022
Link:
http://arxiv.org/abs/220..
?
12
Unsupervised Cross-Domain Feature Extraction for Single Blo..:
Salehi, Raheleh
;
Sadafi, Ario
;
Gruber, Armin
...
http://arxiv.org/abs/2207.00501. , 2022
Link:
http://arxiv.org/abs/220..
?
13
What can we learn about a generated image corrupting its la..:
Tomczak, Agnieszka
;
Gupta, Aarushi
;
Ilic, Slobodan
..
http://arxiv.org/abs/2210.06257. , 2022
Link:
http://arxiv.org/abs/221..
?
14
Sickle Cell Disease Severity Prediction from Percoll Gradie..:
Sadafi, Ario
;
Makhro, Asya
;
Livshits, Leonid
...
http://arxiv.org/abs/2109.05372. , 2021
Link:
http://arxiv.org/abs/210..
?
15
FedDis: Disentangled Federated Learning for Unsupervised Br..:
Bercea, Cosmin I
;
Wiestler, Benedikt
;
Rueckert, Daniel
.
http://arxiv.org/abs/2103.03705. , 2021
Link:
http://arxiv.org/abs/210..
1-15