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Haslum, Johan Fredin
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1
Are Natural Domain Foundation Models Useful for Medical Ima..:
Huix, Joana Palés
;
Ganeshan, Adithya Raju
;
Haslum, Johan Fredin
...
http://arxiv.org/abs/2310.19522. , 2023
Link:
http://arxiv.org/abs/231..
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2
Bridging Generalization Gaps in High Content Imaging Throug..:
Haslum, Johan Fredin
;
Matsoukas, Christos
;
Leuchowius, Karl-Johan
.
http://arxiv.org/abs/2311.12623. , 2023
Link:
http://arxiv.org/abs/231..
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3
Pretrained ViTs Yield Versatile Representations For Medical..:
Matsoukas, Christos
;
Haslum, Johan Fredin
;
Söderberg, Magnus
.
http://arxiv.org/abs/2303.07034. , 2023
Link:
http://arxiv.org/abs/230..
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4
Metadata-guided Consistency Learning for High Content Image:
Haslum, Johan Fredin
;
Matsoukas, Christos
;
Leuchowius, Karl-Johan
..
http://arxiv.org/abs/2212.11595. , 2022
Link:
http://arxiv.org/abs/221..
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5
What Makes Transfer Learning Work For Medical Images: Featu..:
Matsoukas, Christos
;
Haslum, Johan Fredin
;
Sorkhei, Moein
..
http://arxiv.org/abs/2203.01825. , 2022
Link:
http://arxiv.org/abs/220..
?
6
Is it Time to Replace CNNs with Transformers for Medical Im..:
Matsoukas, Christos
;
Haslum, Johan Fredin
;
Söderberg, Magnus
.
http://arxiv.org/abs/2108.09038. , 2021
Link:
http://arxiv.org/abs/210..
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7
Adding Seemingly Uninformative Labels Helps in Low Data Reg..:
Matsoukas, Christos
;
Hernandez, Albert Bou I
;
Liu, Yue
...
http://arxiv.org/abs/2008.00807. , 2020
Link:
http://arxiv.org/abs/200..
?
8
Deep Reinforcement Learning for Adaptive Human Robotic Coll..:
Fredin Haslum, Johan
TRITA-EECS-EX. , 2019
Link:
http://urn.kb.se/resolve..
?
9
Detecting Trends on Twitter : The Effect of Unsupervised Pr..:
Bäckström, Sandra
;
Fredin Haslum, Johan
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186544. , 2016
Link:
http://urn.kb.se/resolve..
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