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Milda Poceviciute

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2024
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  - journals/corr/abs-2405-09934
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Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström:
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. CoRR abs/2405.09934 (2024)
2023
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Milda Poceviciute:
Generalisation and reliability of deep learning for digital pathology in a clinical setting. Linköping University, Sweden, 2023
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Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström:
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. MICCAI (5) 2023: 157-167
2021
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Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Unsupervised Anomaly Detection In Digital Pathology Using GANs. ISBI 2021: 1878-1882
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  - journals/corr/abs-2103-08945
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Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Unsupervised anomaly detection in digital pathology using GANs. CoRR abs/2103.08945 (2021)
[i2]
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  - journals/corr/abs-2112-09693
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Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström:
Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? CoRR abs/2112.09693 (2021)
2020
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Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Survey of XAI in Digital Pathology. AI and ML for Digital Pathology 2020: 56-88
[i1]
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  - journals/corr/abs-2008-06353
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Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
Survey of XAI in digital pathology. CoRR abs/2008.06353 (2020)

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