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ORCIDBeatrice S. Knudsen
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2020 – today
- 2024
[c14]Man Minh Ho, Elham Ghelichkhan, Yosep Chong, Yufei Zhou, Beatrice Knudsen, Tolga Tasdizen:
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading. ISBI 2024: 1-5- [c13]Tushar Kataria, Beatrice S. Knudsen, Shireen Y. Elhabian:
Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity. ISBI 2024: 1-5 - [c12]Shikha Dubey, Yosep Chong, Beatrice Knudsen, Shireen Y. Elhabian:
VIMs: Virtual Immunohistochemistry Multiplex Staining via Text-to-Stain Diffusion Trained on Uniplex Stains. MLMI@MICCAI (1) 2024: 143-155 - [i15]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining. CoRR abs/2403.11340 (2024) - [i14]Man Minh Ho, Shikha Dubey, Yosep Chong, Beatrice Knudsen, Tolga Tasdizen:
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation. CoRR abs/2404.12650 (2024) - [i13]Man Minh Ho, Elham Ghelichkhan, Yosep Chong, Yufei Zhou, Beatrice Knudsen, Tolga Tasdizen:
DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading. CoRR abs/2404.13097 (2024) - [i12]Xiaoya Tang, Bodong Zhang, Beatrice S. Knudsen, Tolga Tasdizen:
DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention. CoRR abs/2407.13920 (2024) - [i11]Shikha Dubey, Yosep Chong, Beatrice Knudsen, Shireen Y. Elhabian:
VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains. CoRR abs/2407.19113 (2024) - [i10]Hamid Manoochehri, Bodong Zhang, Beatrice S. Knudsen, Tolga Tasdizen:
PathMoCo: A Novel Framework to Improve Feature Embedding in Self-supervised Contrastive Learning for Histopathological Images. CoRR abs/2410.17514 (2024) - 2023
- [c11]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
To Pretrain or Not to Pretrain? A Case Study of Domain-Specific Pretraining for Semantic Segmentation in Histopathology. MILLanD@MICCAI 2023: 246-256 - [c10]Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. MLMI@MICCAI (2) 2023: 447-456 - [i9]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching. CoRR abs/2305.05789 (2023) - [i8]Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
To pretrain or not to pretrain? A case study of domain-specific pretraining for semantic segmentation in histopathology. CoRR abs/2307.03275 (2023) - [i7]Shikha Dubey, Tushar Kataria, Beatrice Knudsen, Shireen Y. Elhabian:
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. CoRR abs/2308.13182 (2023) - [i6]Bodong Zhang, Hamid Manoochehri, Man Minh Ho, Fahimeh Fooladgar, Yosep Chong, Beatrice S. Knudsen, Deepika Sirohi, Tolga Tasdizen:
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification. CoRR abs/2312.06978 (2023) - 2022
- [c9]Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. ISBI 2022: 1-5 - [c8]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:
Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. MOVI@MICCAI 2022: 11-21 - [c7]Alessandro Ferrero, Beatrice Knudsen, Deepika Sirohi, Ross T. Whitaker:
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology. MOVI@MICCAI 2022: 53-62 - [c6]Bodong Zhang, Beatrice Knudsen, Deepika Sirohi, Alessandro Ferrero, Tolga Tasdizen:
Stain Based Contrastive Co-training for Histopathological Image Analysis. MILLanD@MICCAI 2022: 106-116 - [i5]Souradeep Chakraborty, Ke Ma, Rajarsi Gupta, Beatrice Knudsen, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Visual attention analysis of pathologists examining whole slide images of Prostate cancer. CoRR abs/2202.08437 (2022) - [i4]Bodong Zhang, Beatrice Knudsen, Deepika Sirohi, Alessandro Ferrero, Tolga Tasdizen:
Stain based contrastive co-training for histopathological image analysis. CoRR abs/2206.12505 (2022) - [i3]Alessandro Ferrero, Beatrice Knudsen, Deepika Sirohi, Ross T. Whitaker:
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology. CoRR abs/2209.13408 (2022)
2010 – 2019
- 2019
- [j4]Wenyuan Li, Jiayun Li, Karthik V. Sarma, King Chung Ho, Shiwen Shen, Beatrice S. Knudsen, Arkadiusz Gertych, Corey W. Arnold:
Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images. IEEE Trans. Medical Imaging 38(4): 945-954 (2019) - [c5]Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Malgorzata Lorent, Szczepan Cierniak, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych:
Contextual Classification of Tumor Growth Patterns in Digital Histology Slides. ITIB 2019: 13-25 - [i2]Jiayun Li, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen, William Speier, Corey W. Arnold:
An attention-based multi-resolution model for prostate whole slide imageclassification and localization. CoRR abs/1905.13208 (2019) - 2018
- [j3]Jiayun Li, William Speier, King Chung Ho, Karthik V. Sarma, Arkadiusz Gertych, Beatrice S. Knudsen, Corey W. Arnold:
An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies. Comput. Medical Imaging Graph. 69: 125-133 (2018) - [c4]Zhaoxuan Ma, Zaneta Swiderska-Chadaj, Nathan Ing, Hootan Salemi, Dermot P. B. McGovern, Beatrice S. Knudsen, Arkadiusz Gertych:
Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies. ITIB 2018: 379-392 - [c3]Nathan Ing, Zhaoxuan Ma, Jiayun Li, Hootan Salemi, Corey W. Arnold, Beatrice S. Knudsen, Arkadiusz Gertych:
Semantic segmentation for prostate cancer grading by convolutional neural networks. Digital Pathology 2018: 105811B - 2017
- [c2]Jiayun Li, Karthik V. Sarma, King Chung Ho, Arkadiusz Gertych, Beatrice S. Knudsen, Corey W. Arnold:
A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies. AMIA 2017 - 2016
- [j2]Arkadiusz Gertych, Zhaoxuan Ma, Jian Tajbakhsh, Adriana Velásquez-Vacca, Beatrice S. Knudsen:
Rapid 3-D delineation of cell nuclei for high-content screening platforms. Comput. Biol. Medicine 69: 328-338 (2016) - [c1]Nathan Ing, Sadri Salman, Zhaoxuan Ma, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych:
Machine Learning Can Reliably Distinguish Histological Patterns of Micropapillary and Solid Lung Adenocarcinomas. ITIB (2) 2016: 193-206 - 2015
- [j1]Arkadiusz Gertych, Nathan Ing, Zhaoxuan Ma, Thomas J. Fuchs, Sadri Salman, Sambit Mohanty, Sanica Bhele, Adriana Velásquez-Vacca, Mahul B. Amin, Beatrice S. Knudsen:
Machine learning approaches to analyze histological images of tissues from radical prostatectomies. Comput. Medical Imaging Graph. 46: 197-208 (2015) - 2011
- [i1]Donghui Yan, Pei Wang, Beatrice S. Knudsen, Michael Linden, Timothy W. Randolph:
Statistical Methods for Analyzing Tissue Microarray Images - Algorithmic Scoring and Co-training. CoRR abs/1102.0059 (2011)
Coauthor Index
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