| A New Optical Density Granulometry-Based Descriptor for the Classification of Prostate Histological Images Using Shallow and Deep Gaussian Processes ÁE Esteban, M López-Pérez, A Colomer, MA Sales, R Molina, V Naranjo Computer Methods and Programs in Biomedicine, 2019 | 37 | 2019 |
| Learning from crowds in digital pathology using scalable variational Gaussian processes M López-Pérez, M Amgad, P Morales-Álvarez, P Ruiz, LAD Cooper, ... Scientific reports 11 (1), 11612, 2021 | 31 | 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, 106783, 2022 | 21 | 2022 |
| A TV-based image processing framework for blind color deconvolution and classification of histological images F Pérez-Bueno, M López-Pérez, M Vega, J Mateos, V Naranjo, R Molina, ... Digital Signal Processing, 102727, 2020 | 20 | 2020 |
| A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes M López-Pérez, L García, C Benítez, R Molina IEEE Transactions on Geoscience and Remote Sensing 59 (5), 3875-3890, 2020 | 11 | 2020 |
| Deep Gaussian processes for classification with multiple noisy annotators. Application to breast cancer tissue classification M López-Pérez, P Morales-Álvarez, LAD Cooper, R Molina, ... IEEE Access 11, 6922-6934, 2023 | 9 | 2023 |
| Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological images N Kanwal, M López-Pérez, U Kiraz, TCM Zuiverloon, R Molina, K Engan Computerized Medical Imaging and Graphics 112, 102321, 2024 | 6 | 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 |
| Crowdsourcing segmentation of histopathological images using annotations provided by medical students M López-Pérez, P Morales-Álvarez, LAD Cooper, R Molina, ... International Conference on Artificial Intelligence in Medicine, 245-249, 2023 | 1 | 2023 |
| Learning from crowds for automated histopathological image segmentation M López-Pérez, P Morales-Álvarez, LAD Cooper, C Felicelli, J Goldstein, ... Computerized Medical Imaging and Graphics 112, 102327, 2024 | | 2024 |
| Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset R Del Amor, J Pérez-Cano, M López-Pérez, L Terradez, ... Artificial Intelligence in Medicine 145, 102686, 2023 | | 2023 |
| Probabilistic Methods for Image and Signal Classification. Applications to Medicine and Volcanology M López Pérez Universidad de Granada, 2022 | | 2022 |
| Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor M López-Pérez, A Colomer, MA Sales, R Molina, V Naranjo International Conference on Intelligent Data Engineering and Automated …, 2019 | | 2019 |
| ANOMALOUS SOUND DETECTION IN INDUSTRIAL MACHINERY USING NORMALIZING FLOW-BASED DEEP LEARNING NP Garcıa-de-la-Puente, F Pastor-Naranjo, M López-Pérez, G Pinero, ... | | |
Rafael MolinaProfessor of Computer Science, University of GranadaZweryfikowany adres z decsai.ugr.es
