| The devil is in the details: Whole slide image acquisition and processing for artifacts detection, color variation, and data augmentation: A review N Kanwal, F Pérez-Bueno, A Schmidt, K Engan, R Molina Ieee Access 10, 58821-58844, 2022 | 53 | 2022 |
| Combining attention-based multiple instance learning and gaussian processes for CT hemorrhage detection Y Wu, A Schmidt, E Hernández-Sánchez, R Molina, AK Katsaggelos International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 24 | 2021 |
| Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection M López-Pérez, A Schmidt, Y Wu, R Molina, AK Katsaggelos Computer Methods And Programs In Biomedicine 219, 106783, 2022 | 21 | 2022 |
| Efficient cancer classification by coupling semi supervised and multiple instance learning A Schmidt, J Silva-Rodríguez, R Molina, V Naranjo IEEE Access 10, 9763-9773, 2022 | 16 | 2022 |
| Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning A Schmidt, P Morales-Álvarez, R Molina IEEE Transactions on Neural Networks and Learning Systems, 1 - 14, 2023 | 13 | 2023 |
| Probabilistic modeling of inter-and intra-observer variability in medical image segmentation A Schmidt, P Morales-Alvarez, R Molina Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Proportion constrained weakly supervised histopathology image classification J Silva-Rodríguez, A Schmidt, MA Sales, R Molina, V Naranjo Computers in Biology and Medicine 147, 105714, 2022 | 9 | 2022 |
| Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images P Morales-Álvarez, A Schmidt, JM Hernández-Lobato, R Molina Pattern Recognition 146, 110057, 2024 | 4 | 2024 |
| An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection J Pérez-Cano, Y Wu, A Schmidt, M López-Pérez, P Morales-Álvarez, ... Expert Systems with Applications 240, 122296, 2024 | 3 | 2024 |
| Focused active learning for histopathological image classification A Schmidt, P Morales-Álvarez, LAD Cooper, LA Newberg, A Enquobahrie, ... Medical Image Analysis 95, 103162, 2024 | | 2024 |
| Probabilistic Deep Learning for Histopathological Images: Overcoming the Labeling Bottleneck of Computer-Aided Diagnosis A Schmidt Universidad de Granada, 2024 | | 2024 |
Rafael MolinaProfessor of Computer Science, University of Granada在 decsai.ugr.es 的电子邮件经过验证
