Arne Schmidt

15 papers A* 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
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.
Jose Pérez-Cano, Yunan Wu, Arne Schmidt, Miguel López-Pérez, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Focused Active Learning for Histopathological Image Classification.
CoRR
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Aggelos K. Katsaggelos, Rafael Molina
2024 J jnl
Focused active learning for histopathological image classification.
Medical Image Anal.
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper, Lee A. Newberg, Andinet Enquobahrie, Rafael Molina, Aggelos K. Katsaggelos
2024 J jnl
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images.
Pattern Recognit.
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
2024 J jnl
Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning.
IEEE Trans. Neural Networks Learn. Syst.
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2024 J jnl
The CrowdGleason dataset: Learning the Gleason grade from crowds and experts.
Comput. Methods Programs Biomed.
Miguel López-Pérez, Alba Morquecho, Arne Schmidt, Fernando Pérez-Bueno, Aurelio Martín-Castro, Javier Mateos, Rafael Molina
2023 J jnl
Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images.
CoRR
Pablo Morales-Álvarez, Arne Schmidt, José Miguel Hernández-Lobato, Rafael Molina
2023 J jnl
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning.
CoRR
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2023 A* conf
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation.
ICCV
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2023 J jnl
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation.
CoRR
Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina
2022 J jnl
Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.
Comput. Methods Programs Biomed.
Miguel López-Pérez, Arne Schmidt, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
2022 J jnl
Efficient Cancer Classification by Coupling Semi Supervised and Multiple Instance Learning.
IEEE Access
Arne Schmidt, Julio Silva-Rodríguez, Rafael Molina, Valery Naranjo
2022 J jnl
Proportion constrained weakly supervised histopathology image classification.
Comput. Biol. Medicine
Julio Silva-Rodríguez, Arne Schmidt, María Á. Sales, Rafael Molina, Valery Naranjo
2022 J jnl
The Devil is in the Details: Whole Slide Image Acquisition and Processing for Artifacts Detection, Color Variation, and Data Augmentation: A Review.
IEEE Access
Neel Kanwal, Fernando Pérez-Bueno, Arne Schmidt, Kjersti Engan, Rafael Molina
2021 — conf
Combining Attention-Based Multiple Instance Learning and Gaussian Processes for CT Hemorrhage Detection.
MICCAI (2)
Yunan Wu, Arne Schmidt, Enrique Hernández-Sánchez, Rafael Molina, Aggelos K. Katsaggelos