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2
A Systematic Comparison of Task Adaptation Techniques for Digital Histopathology
Due to an insufficient amount of image annotation, artificial intelligence in computational histopathology usually relies on …
Daniel Sauter
,
Georg C. Lodde
,
Felix Nensa
,
Dirk Schadendorf
,
Elisabeth Livingstone
,
Markus Kukuk
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Doi
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Semantic Integration of BPMN Models and FHIR Data to Enable Personalized Decision Support for Malignant Melanoma
With digital patient data increasing due to new diagnostic methods and technology, showing the right data in the context of decision …
Catharina Beckmann
,
Daniel Keuchel
,
Wa Ode Iin Arliani Soleman
,
Sylvia Nürnberg
,
Britta Böckmann
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Doi
Distance-Metric Learning for Personalized Survival Analysis
Personalized time-to-event or survival prediction with right-censored outcomes is a pervasive challenge in healthcare research. …
Wolfgang Galetzka
,
Bernd Kowall
,
Cynthia Jusi
,
Eva-Maria Huessler
,
Andreas Stang
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Doi
Document Difficulty Aspects for Medical Practitioners: Enhancing Information Retrieval in Personalized Search Engines
Timely and relevant information enables clinicians to make informed decisions about patient care outcomes. However, discovering related …
Sameh Frihat
,
Catharina Beckmann
,
Eva Hartmann
,
Norbert Fuhr
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Doi
Mitigating cognitive bias with clinical decision support systems: an experimental study
Bias in clinical reasoning has been identified as one of the main sources of diagnostic errors. Clinical Decision Support Systems that …
Alisa Küper
,
Georg C. Lodde
,
Elisabeth Livingstone
,
Dirk Schadendorf
,
Nicole Krämer
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Doi
Deep learning in computational dermatopathology of melanoma: A technical systematic literature review
Deep learning (DL) has become one of the major approaches in computational dermatopathology, evidenced by a significant increase in …
Daniel Sauter
,
Georg C. Lodde
,
Felix Nensa
,
Dirk Schadendorf
,
Elisabeth Livingstone
,
Markus Kukuk
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Doi
PDF
Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge
In this work, we describe the findings of the ‘WisPerMed’ team from their participation in Track 1 (Contextualized Medication Event …
Henning Schäfer
,
Ahmad Idrissi-Yaghir
,
Jeanette Bewersdorff
,
Sameh Frihat
,
Christoph M. Friedrich
,
Torsten Zesch
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Doi
ScienceDirect
PubMed
Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches
Driven by recent advances in Artificial Intelligence (AI) and Computer Vision (CV), the implementation of AI systems in the medical …
Katarzyna Borys
,
Yasmin Alyssa Schmitt
,
Meike Nauta
,
Christin Seifert
,
Nicole Krämer
,
Christoph M. Friedrich
,
Felix Nensa
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Doi
ScienceDirect
PubMed
Explainable AI in medical imaging: An overview for clinical practitioners – Saliency-based XAI approaches
Since recent achievements of Artificial Intelligence (AI) have proven significant success and promising results throughout many fields …
Katarzyna Borys
,
Yasmin Alyssa Schmitt
,
Meike Nauta
,
Christin Seifert
,
Nicole Krämer
,
Christoph M. Friedrich
,
Felix Nensa
Cite
Doi
ScienceDirect
PubMed
Characterisation and outcome of RAC1 mutated melanoma
Background Activating hot spot R29S mutations in RAC1, a small GTPase influencing several cellular processes including cell …
Georg C. Lodde
,
Philipp Jansen
,
Rudolf Herbst
,
Patrick Terheyden
,
Jochen Utikal
,
Claudia Pföhler
,
Jens Ulrich
,
Alexander Kreuter
,
Peter Mohr
,
Ralf Gutzmer
,
Friedegund Meier
,
Edgar Dippel
,
Michael Weichenthal
,
Antje Sucker
,
Jan-Malte Placke
,
Anne Zaremba
,
Lea Jessica Albrecht
,
Bernd Kowall
,
Wolfgang Galetzka
,
Jürgen C. Becker
,
Alpaslan Tasdogan
,
Lisa Zimmer
,
Elisabeth Livingstone
,
Eva Hadaschik
,
Dirk Schadendorf
,
Selma Ugurel
,
Klaus Griewank
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ScienceDirect
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