SurvSHAP(t): Time-dependent explanations of machine learning survival models
Krzyziński, Mateusz, Spytek, Mikołaj, Baniecki, Hubert, Biecek, Przemysław
Published in Knowledge-based systems (28.02.2023)
Published in Knowledge-based systems (28.02.2023)
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Performance Is Not Enough: The Story Told by a Rashomon Quartet
Biecek, Przemysław, Baniecki, Hubert, Krzyziński, Mateusz, Cook, Dianne
Published in Journal of computational and graphical statistics (02.07.2024)
Published in Journal of computational and graphical statistics (02.07.2024)
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Ki67 is a better marker than PRAME in risk stratification of BAP1-positive and BAP1-loss uveal melanomas
Donizy, Piotr, Spytek, Mikołaj, Krzyziński, Mateusz, Kotowski, Krzysztof, Markiewicz, Anna, Romanowska-Dixon, Bozena, Biecek, Przemyslaw, Hoang, Mai P
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Published in British journal of ophthalmology (01.07.2024)
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A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentation
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Published in Scientific reports (26.06.2024)
Published in Scientific reports (26.06.2024)
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Coloring squares of planar graphs with small maximum degree
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Published in Discussiones Mathematicae. Graph Theory (2024)
Published in Discussiones Mathematicae. Graph Theory (2024)
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Co-Targeting of DTYMK and PARP1 as a Potential Therapeutic Approach in Uveal Melanoma
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Published in Cells (Basel, Switzerland) (01.08.2024)
Published in Cells (Basel, Switzerland) (01.08.2024)
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Amelanotic Uveal Melanomas Evaluated by Indirect Ophthalmoscopy Reveal Better Long-Term Prognosis Than Pigmented Primary Tumours-A Single Centre Experience
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Published in Cancers (01.06.2022)
Published in Cancers (01.06.2022)
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Machine learning models demonstrate that clinicopathologic variables are comparable to gene expression prognostic signature in predicting survival in uveal melanoma
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Published in European journal of cancer (1990) (01.10.2022)
Published in European journal of cancer (1990) (01.10.2022)
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SATB2, CKAE1/AE3, and synaptophysin as a sensitive immunohistochemical panel for the detection of lymph node metastases of Merkel cell carcinoma
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Published in Virchows Archiv : an international journal of pathology (01.04.2024)
Published in Virchows Archiv : an international journal of pathology (01.04.2024)
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Journal Article
Performance is not enough: the story told by a Rashomon quartet
Biecek, Przemyslaw, Baniecki, Hubert, Krzyzinski, Mateusz, Cook, Dianne
Published in arXiv.org (11.04.2024)
Published in arXiv.org (11.04.2024)
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Explaining and visualizing black-box models through counterfactual paths
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Year of Publication 15.07.2023
Year of Publication 15.07.2023
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WAW-TACE: A Hepatocellular Carcinoma Multiphase CT Dataset with Segmentations, Radiomics Features, and Clinical Data
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Published in Radiology. Artificial intelligence (01.11.2024)
Published in Radiology. Artificial intelligence (01.11.2024)
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Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data
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Year of Publication 22.08.2023
Year of Publication 22.08.2023
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Mining United Nations General Assembly Debates
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Year of Publication 19.06.2024
Year of Publication 19.06.2024
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Journal Article
SurvSHAP(t): Time-dependent explanations of machine learning survival models
Krzyziński, Mateusz, Spytek, Mikołaj, Baniecki, Hubert, Biecek, Przemysław
Published in arXiv.org (07.09.2022)
Published in arXiv.org (07.09.2022)
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Journal Article
Interpretable Machine Learning for Survival Analysis
Langbein, Sophie Hanna, Krzyziński, Mateusz, Spytek, Mikołaj, Baniecki, Hubert, Biecek, Przemysław, Wright, Marvin N
Year of Publication 15.03.2024
Year of Publication 15.03.2024
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