Peter Boor
Orcid: 0000-0001-9921-4284
According to our database1,
Peter Boor
authored at least 34 papers
between 2014 and 2024.
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Bibliography
2024
BMC Bioinform., December, 2024
CoRR, 2024
Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Multi-institutional PET/CT image segmentation using federated deep transformer learning.
Comput. Methods Programs Biomed., October, 2023
2022
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474.
Medical Image Anal., 2022
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.
Medical Image Anal., 2022
CoRR, 2022
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022
Proceedings of the Eleventh International Conference on Image Processing Theory, 2022
Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning.
CoRR, 2021
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
Reduction of Stain Variability in Bone Marrow Microscopy Images - Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020
2019
Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology.
IEEE Trans. Medical Imaging, 2019
Comput. Medical Imaging Graph., 2019
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study.
Proceedings of the Digital Pathology - 15th European Congress, 2019
2018
Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Stain independent segmentation of whole slide images: A case study in renal histology.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
2017
Comput. Biol. Medicine, 2017
A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney.
Proceedings of the Pattern Recognition - 39th German Conference, 2017
2016
Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
2014
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014