Papers matching “interpretability evaluation” 145
Not finding it? Sign in to also search OpenAlex live.
-
Assessing and improving the validity of COVID-19 autopsy studies - a multicenter approach to establish essential standards for immunohistochemical and ultrastructural analyses
Susanne Krasemann, Carsten Dittmayer, Saskia Freifrau von Stillfried, Jenny Meinhardt, Fabian Heinrich, Katrin Hartmann, +26 more
3citations -
WALDO: community-Wide Annotation of γδ Lymphocytes in single-cell Data, Openly benchmarked2026 Zenodo (CERN European Organization for Nuclear Research) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Farid Keramati, Moosa Rezwani, Likai Tan, David Hamilton, Zheng Song, Tao Yang, +10 more
0citations -
Leveraging Large Language Models for Enhanced Process Model Comprehension2024 arXiv (Cornell University) preprint Business, Management and Accounting Business Process Modeling and Analysis Open access
Humam Kourani, Alessandro Berti, Jasmin Hennrich, Wolfgang Kratsch, Robin Weidlich, Chiao-Yun Li, +2 more
2citations -
LongHealth: A Question Answering Benchmark with Long Clinical Documents2024 arXiv (Cornell University) preprint Medicine Artificial Intelligence in Healthcare and Education Open access
Lisa C. Adams, Felix Busch, Tianyu Han, Jean-Baptiste Excoffier, Matthieu Ortala, Alexander Löser, +4 more
2citations -
ClinGen Hemoglobinopathy VCEP ACMG/AMP specifications for HBB and HBA2 variant interpretation in thalassemia2026 medRxiv preprint Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Coralea Stephanou, Irene Fylaktou, Hashim Halim‐Fikri, Tamara T. Koopmann, Landry E. Nfonsam, Celeste Bento, +11 more
0citations -
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more
7citations -
PhenoScore: AI-based phenomics to quantify rare disease and genetic variation2022 medRxiv preprint Biochemistry, Genetics and Molecular Biology Genomics and Rare Diseases Open access
Alexander J.M. Dingemans, Max Hinne, Kim M. G. Truijen, Lia C. M. J. Goltstein, Jeroen van Reeuwijk, Nicole de Leeuw, +25 more
6citations