RAFAEL
MOLINA SORIANO
CATEDRÁTICO DE UNIVERSIDAD
ARNE
SCHMIDT
Investigador en el periodo 2020-2023
Publicaciones en las que colabora con ARNE SCHMIDT (9)
2024
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An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection
Expert Systems with Applications, Vol. 240
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Focused active learning for histopathological image classification
Medical Image Analysis, Vol. 95
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Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning
IEEE Transactions on Neural Networks and Learning Systems, Vol. 35, Núm. 8, pp. 10909-10922
2023
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Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation
Proceedings of the IEEE International Conference on Computer Vision
2022
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Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection
Computer Methods and Programs in Biomedicine, Vol. 219
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Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning
IEEE Access, Vol. 10, pp. 9763-9773
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Proportion constrained weakly supervised histopathology image classification
Computers in Biology and Medicine, Vol. 147
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The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review
IEEE Access, Vol. 10, pp. 58821-58844
2021
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Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)