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Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 IFAC-PapersOnLine article Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
6citations -
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data2024 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access
Camelia Oprea, Mike Grüne, Mateusz Buglowski, Lena Olivier, Thorsten W Orlikowsky, Stefan Kowalewski, +2 more
0citations -
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification2021 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
2citations -
Machine learning vs. rule-based methods for document classification of electronic health records within mental health care—A systematic literature review2025 Natural Language Processing Journal review Computer Science Machine Learning in Healthcare Open access
Emil Rijcken, Kalliopi Zervanou, Pablo J. Mosteiro, Floortje E. Scheepers, Marco René Spruit, Uzay Kaymak
17citations -
What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric2023 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access
Enrico Liscio, Óscar Araque, Lorenzo Gatti, Ionut Constantinescu, Catholijn M. Jonker, Kyriaki Kalimeri, +1 more
13citations -
[MedMNIST+] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification with Multiple Size Options: 28 (MNIST-Like), 64, 128, and 2242024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Medical Image Segmentation Techniques Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Fan Zhao, Hanspeter Pfister, +1 more
2citations -
[MedMNIST+] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification with Multiple Size Options: 28 (MNIST-Like), 64, 128, and 2242024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Medical Image Segmentation Techniques Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
1citations -
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
0citations -
MedMNIST: 18x Standardized Datasets for 2D and 3D Biomedical Image Classification2024 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Fan Zhao, Hanspeter Pfister, +1 more
0citations -
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions2024 BMC Bioinformatics software-paper Computer Science Machine Learning and Data Classification Open access
Moein E. Samadi, Hedieh Mirzaieazar, Alexander Mitsos, Andreas Schuppert
5citations -
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification2023 Scientific Data data-paper Computer Science Advanced Neural Network Applications Open access cited by 1 patent
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
1,037citations -
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification2021 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access
Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Hanspeter Pfister, +1 more
73citations