Beatrice S. Knudsen

According to our database, Beatrice S. Knudsen authored at least 20 papers between 2011 and 2024.

Collaborative distances:

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

2024

StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining.

Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian

CoRR, 2024

2023

CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification.

Bodong Zhang, Hamid Manoochehri, Man Minh Ho, Fahimeh Fooladgar, Yosep Chong, Beatrice S. Knudsen, Deepika Sirohi, Tolga Tasdizen

CoRR, 2023

Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching.

Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian

CoRR, 2023

Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon.

Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian

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.

Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2022

Stain Based Contrastive Co-training for Histopathological Image Analysis.

Bodong Zhang, Beatrice Knudsen, Deepika Sirohi, Alessandro Ferrero, Tolga Tasdizen

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology.

Alessandro Ferrero, Beatrice Knudsen, Deepika Sirohi, Ross T. Whitaker

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer.

Souradeep Chakraborty, Rajarsi Gupta, Ke Ma, Darshana Govind, Pinaki Sarder, Won-Tak Choi, Waqas Mahmud, Eric Yee, Felicia Allard, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras

Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer.

Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2019

Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images.

Wenyuan Li, Jiayun Li, Karthik V. Sarma, King Chung Ho, Shiwen Shen, Beatrice S. Knudsen, Arkadiusz Gertych, Corey W. Arnold

IEEE Trans. Medical Imaging, 2019

An attention-based multi-resolution model for prostate whole slide imageclassification and localization.

Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold

CoRR, 2019

Contextual Classification of Tumor Growth Patterns in Digital Histology Slides.

Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Malgorzata Lorent, Szczepan Cierniak, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych

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.

Jiayun Li, William Speier, King Chung Ho, Karthik V. Sarma, Arkadiusz Gertych, Beatrice S. Knudsen, Corey W. Arnold

Comput. Medical Imaging Graph., 2018

Semantic segmentation for prostate cancer grading by convolutional neural networks.

Nathan Ing, Zhaoxuan Ma, Jiayun Li, Hootan Salemi, Corey W. Arnold, Beatrice S. Knudsen, Arkadiusz Gertych

Proceedings of the Medical Imaging 2018: Digital Pathology, 2018

Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies.

Zhaoxuan Ma, Zaneta Swiderska-Chadaj, Nathan Ing, Hootan Salemi, Dermot McGovern, Beatrice S. Knudsen, Arkadiusz Gertych

Proceedings of the Information Technology in Biomedicine, 2018

2017

A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies.

Jiayun Li, Karthik V. Sarma, King Chung Ho, Arkadiusz Gertych, Beatrice S. Knudsen, Corey W. Arnold

Proceedings of the AMIA 2017, 2017

2016

Rapid 3-D delineation of cell nuclei for high-content screening platforms.

Arkadiusz Gertych, Zhaoxuan Ma, Jian Tajbakhsh, Adriana Velásquez-Vacca, Beatrice S. Knudsen

Comput. Biol. Medicine, 2016

Machine Learning Can Reliably Distinguish Histological Patterns of Micropapillary and Solid Lung Adenocarcinomas.

Nathan Ing, Sadri Salman, Zhaoxuan Ma, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych

Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016

2015

Machine learning approaches to analyze histological images of tissues from radical prostatectomies.

Arkadiusz Gertych, Nathan Ing, Zhaoxuan Ma, Thomas J. Fuchs, Sadri Salman, Sambit Mohanty, Sanica Bhele, Adriana Velásquez-Vacca, Mahul B. Amin, Beatrice S. Knudsen

Comput. Medical Imaging Graph., 2015

2011

Statistical Methods for Analyzing Tissue Microarray Images - Algorithmic Scoring and Co-training

Donghui Yan, Pei Wang, Beatrice S. Knudsen, Michael Linden, Timothy W. Randolph

CoRR, 2011