Tal Zeevi
Orcid: 0000-0001-8917-7061
According to our database1,
Tal Zeevi
authored at least 11 papers
between 2015 and 2025.
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Bibliography
2025
Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology.
CoRR, May, 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
SRE-CONV: Symmetric Rotation Equivariant Convolution for Biomedical Image Classification.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
2024
Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology.
IEEE Trans. Biomed. Eng., March, 2024
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan.
npj Digit. Medicine, 2024
Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke.
Frontiers Artif. Intell., 2024
Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2015
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015