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Futrega, Michal
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1

Tuning U-Net for Brain Tumor Segmentation:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Futrega, Michał ; Marcinkiewicz, Michał ; Ribalta, Pablo - p. 162-173 , 2023
Link: https://doi.org/10.1007/..
 
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2

FastDimeNet++: Training DimeNet++ in 22 minutes:

, In: Proceedings of the 52nd International Conference on Parallel Processing,
Zhu, Feiwen ; Futrega, Michal ; Bao, Han... - p. 274-284 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Optimized U-Net for Brain Tumor Segmentation:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Futrega, Michał ; Milesi, Alexandre ; Marcinkiewicz, Michał. - p. 15-29 , 2022
Link: https://doi.org/10.1007/..
 
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4

Brain Tumor Segmentation Using Neural Network Topology Sear..:

, In: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries; Lecture Notes in Computer Science,
Milesi, Alexandre ; Futrega, Michal ; Marcinkiewicz, Michal. - p. 366-376 , 2022
Link: https://doi.org/10.1007/..
 
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5

Surgical tool classification and localization: results and ..:

Zia, Aneeq ; Bhattacharyya, Kiran ; Liu, Xi...
http://arxiv.org/abs/2305.07152.  , 2023
Link: http://arxiv.org/abs/230..
 
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6

Optimized U-Net for Brain Tumor Segmentation:

Futrega, Michał ; Milesi, Alexandre ; Marcinkiewicz, Michal.
http://arxiv.org/abs/2110.03352.  , 2021
Link: http://arxiv.org/abs/211..
 
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