Arne Schmidt

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 14

Top Topics

Multiple Instance

Top Venues

Pattern Recognit.

Medical Image Anal.

Publications

Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection. Expert Syst. Appl. 240 (2024)
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina
Focused Active Learning for Histopathological Image Classification. CoRR (2024)
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. Pattern Recognit. 146 (2024)
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos
Focused active learning for histopathological image classification. Medical Image Anal. 95 (2024)
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. ICCV (2023)
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. CoRR (2023)
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images. CoRR (2023)
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning. CoRR (2023)
Neel Kanwal, Fernando Pérez-Bueno, Arne Schmidt, Kjersti Engan, Rafael Molina
The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review. IEEE Access 10 (2022)
Arne Schmidt, Julio Silva-Rodríguez, Rafael Molina, Valery Naranjo
Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning. IEEE Access 10 (2022)
Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection. Comput. Methods Programs Biomed. 219 (2022)
Julio Silva-Rodríguez, Arne Schmidt, María Á. Sales, Rafael Molina, Valery Naranjo
Proportion constrained weakly supervised histopathology image classification. Comput. Biol. Medicine 147 (2022)
Yunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection. MICCAI (2) (2021)