Arne Schmidt

According to our database, Arne Schmidt authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning.

Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images.

Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina

Pattern Recognit., February, 2024

Focused active learning for histopathological image classification.

Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos

Medical Image Anal., 2024

An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection.

Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos

Expert Syst. Appl., 2024

2023

Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation.

Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.

Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos

Comput. Methods Programs Biomed., 2022

Proportion constrained weakly supervised histopathology image classification.

Julio Silva-Rodríguez, Arne Schmidt, María Á. Sales, Rafael Molina, Valery Naranjo

Comput. Biol. Medicine, 2022

Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning.

Arne Schmidt, Julio Silva-Rodríguez, Rafael Molina, Valery Naranjo

IEEE Access, 2022

The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review.

Neel Kanwal, Fernando Pérez-Bueno, Arne Schmidt, Kjersti Engan, Rafael Molina

IEEE Access, 2022

2021

Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection.

Yunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021