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Haist, M.
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Haist, M.
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Haist, M.
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1
ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles
by
Beyer, D.
,
Coenen, M.
,
Haist
,
M
.
,
Heipke, C.
,
Schack, T.
Published 2022
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2
The Role of Treatment Sequencing with Immune-Checkpoint Inhibitors and BRAF/MEK Inhibitors for Response and Survival of Patients with BRAFV600-Mutant Metastatic Melanoma—A Retrospe...
by
Ebner, R.
,
Fleischer, M.I
,
Grabbe, S.
,
Haist
,
M
.
,
Loquai, C.
,
Stege, H.
Published 2022
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Related Subjects
Aggregate particles
BRAF-mutation
BRAF/MEK-inhibitors
Concrete aggregate
Concrete aggregates
ConsInstancy training
Consinstancy training
Instance representation
Instance representations
Overall accuracies
Panoptic segmentation
Semantic Segmentation
Semantics
Semi supervision
Semi supervisions
Semi-supervised
Semi-supervised method
Simple++
Supervised learning
Unlabeled data
immune-checkpoint inhibitors
metastatic melanoma
sequential treatment
targeted therapy
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