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Kargl, Michaela
20  Ergebnisse:
Personensuche X
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1

Explainability and causability in digital pathology:

Plass, Markus ; Kargl, Michaela ; Kiehl, Tim‐Rasmus...
The Journal of Pathology: Clinical Research.  9 (2023)  4 - p. 251-260 , 2023
Link: https://doi.org/10.1002/..
 
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2

A Literature Review on Ethics for AI in Biomedical Research..:

Kargl, Michaela ; Plass, Markus ; Müller, Heimo
Yearbook of Medical Informatics.  31 (2022)  1 - p. 152-160 , 2022
Link: https://doi.org/10.1055/..
 
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3

Recommendations on compiling test datasets for evaluating a..:

Homeyer, André ; Geißler, Christian ; Schwen, Lars Ole...
Modern Pathology.  35 (2022)  12 - p. 1759-1769 , 2022
Link: https://doi.org/10.1038/..
 
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4

Publisher Correction to: Recommendations on compiling test ..:

Homeyer, André ; Geißler, Christian ; Schwen, Lars Ole...
Modern Pathology.  35 (2022)  12 - p. 2034 , 2022
Link: https://doi.org/10.1038/..
 
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5

Personas for Artificial Intelligence (AI) an Open Source To..:

Holzinger, Andreas ; Kargl, Michaela ; Kipperer, Bettina...
IEEE Access.  10 (2022)  - p. 23732-23747 , 2022
Link: https://doi.org/10.1109/..
 
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6

The explainability paradox: Challenges for xAI in digital p..:

Evans, Theodore ; Retzlaff, Carl Orge ; Geißler, Christian...
Future Generation Computer Systems.  133 (2022)  - p. 281-296 , 2022
Link: https://doi.org/10.1016/..
 
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7

Understanding and Explaining Diagnostic Paths: Toward Augme..:

Plass, Markus ; Kargl, Michaela ; Nitsche, Patrick...
IEEE Computer Graphics and Applications.  42 (2022)  6 - p. 47-57 , 2022
Link: https://doi.org/10.1109/..
 
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8

Human-AI Interfaces are a Central Component of Trustworthy ..:

, In: Explainable AI: Foundations, Methodologies and Applications; Intelligent Systems Reference Library,
Plass, Markus ; Kargl, Michaela ; Evans, Theodore... - p. 225-256 , 2022
Link: https://doi.org/10.1007/..
 
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9

Towards a Taxonomy for Explainable AI in Computational Path..:

, In: Humanity Driven AI,
Müller, Heimo ; Kargl, Michaela ; Plass, Markus... - p. 311-330 , 2021
Link: https://doi.org/10.1007/..
 
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10

Towards a Better Understanding of the Workflows: Modeling P..:

, In: Artificial Intelligence and Machine Learning for Digital Pathology; Lecture Notes in Computer Science,
Kargl, Michaela ; Regitnig, Peter ; Müller, Heimo. - p. 102-117 , 2020
Link: https://doi.org/10.1007/..
 
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11

Towards a Deeper Understanding of How a Pathologist Makes a..:

, In: 2019 IEEE Symposium on Computers and Communications (ISCC),
Pohn, Birgit ; Kargl, Michaela ; Reihs, Robert... - p. 1081-1086 , 2019
Link: https://doi.org/10.1109/..
 
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12

Explainability and causability in digital pathology:

Plass, Markus ; Kargl, Michaela ; Kiehl, Tim‐Rasmus...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240147/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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13

Recommendations on test datasets for evaluating AI solution..:

Homeyer, André ; Geißler, Christian ; Schwen, Lars Ole...
http://arxiv.org/abs/2204.14226.  , 2022
Link: http://arxiv.org/abs/220..
 
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14

Recommendations on compiling test datasets for evaluating a..:

Homeyer, André ; Geißler, Christian ; Schwen, Lars Ole...
Modern pathology.  , 2022
Link: https://publica.fraunhof..
 
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15

Publisher Correction to: Recommendations on compiling test ..:

Homeyer, André ; Geißler, Christian ; Schwen, Lars Ole...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708550/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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