Beatrice S. Knudsen
Orcid: 0000-0002-7589-7591
According to our database1,
Beatrice S. Knudsen
authored at least 23 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention.
CoRR, 2024
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading.
CoRR, 2024
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation.
CoRR, 2024
2023
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification.
CoRR, 2023
Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching.
CoRR, 2023
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
2022
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2019
IEEE Trans. Medical Imaging, 2019
An attention-based multi-resolution model for prostate whole slide imageclassification and localization.
CoRR, 2019
Proceedings of the Information Technology in Biomedicine, 2019
2018
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.
Comput. Medical Imaging Graph., 2018
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Proceedings of the Information Technology in Biomedicine, 2018
2017
A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies.
Proceedings of the AMIA 2017, 2017
2016
Comput. Biol. Medicine, 2016
Machine Learning Can Reliably Distinguish Histological Patterns of Micropapillary and Solid Lung Adenocarcinomas.
Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016
2015
Machine learning approaches to analyze histological images of tissues from radical prostatectomies.
Comput. Medical Imaging Graph., 2015
2011
Statistical Methods for Analyzing Tissue Microarray Images - Algorithmic Scoring and Co-training
CoRR, 2011