Statistical Methods for Analyzing Tissue Microarray Images - Algorithmic Scoring and Co-training - Donghui Yan; Pei Wang 014; Beatrice S. Knudsen; Michael Linden; Timothy W. Randolph 002 (CoRR, 2011)

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)

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 (ITIB (2), 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)

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 (AMIA, 2017)

Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies. - Zhaoxuan Ma; Zaneta Swiderska-Chadaj; Nathan Ing; Hootan Salemi; Dermot P. B. McGovern; Beatrice S. Knudsen; Arkadiusz Gertych (ITIB, 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 (Digital Pathology, 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)

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 (ITIB, 2019)

An attention-based multi-resolution model for prostate whole slide imageclassification and localization. - Jiayun Li; Wenyuan Li 001; Arkadiusz Gertych; Beatrice S. Knudsen; William Speier; Corey W. Arnold (CoRR, 2019)

Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images. - Wenyuan Li 001; Jiayun Li; Karthik V. Sarma; King Chung Ho; Shiwen Shen; Beatrice S. Knudsen; Arkadiusz Gertych; Corey W. Arnold (IEEE Trans. Medical Imaging, 2019)

Visual Attention Analysis Of Pathologists Examining Whole Slide Images Of Prostate Cancer. - Souradeep Chakraborty; Ke Ma 005; Rajarsi Gupta 001; Beatrice Knudsen; Gregory J. Zelinsky; Joel H. Saltz; Dimitris Samaras (ISBI, 2022)

Predicting the Visual Attention of Pathologists Evaluating Whole Slide Images of Cancer. - Souradeep Chakraborty; Rajarsi Gupta 001; Ke Ma 005; Darshana Govind; Pinaki Sarder; Won-Tak Choi; Waqas Mahmud; Eric Yee; Felicia Allard; Beatrice Knudsen; Gregory J. Zelinsky; Joel H. Saltz; et al. (MOVI@MICCAI, 2022)

A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology. - Alessandro Ferrero; Beatrice Knudsen; Deepika Sirohi; Ross T. Whitaker (MOVI@MICCAI, 2022)

Stain Based Contrastive Co-training for Histopathological Image Analysis. - Bodong Zhang; Beatrice Knudsen; Deepika Sirohi; Alessandro Ferrero; Tolga Tasdizen (MILLanD@MICCAI, 2022)

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 (MILLanD@MICCAI, 2023)

Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon. - Shikha Dubey; Tushar Kataria; Beatrice Knudsen; Shireen Y. Elhabian (MLMI@MICCAI (2), 2023)

Unsupervised Domain Adaptation for Semantic Segmentation via Feature-space Density Matching. - Tushar Kataria; Beatrice Knudsen; Shireen Y. Elhabian (CoRR, 2023)

DISC: Latent Diffusion Models with Self-Distillation from Separated Conditions for Prostate Cancer Grading. - Man Minh Ho; Elham Ghelichkhan; Yosep Chong; Yufei Zhou; Beatrice Knudsen; Tolga Tasdizen (ISBI, 2024)

Unsupervised Domain Adaptation for Semantic Segmentation Under Target Data Scarcity. - Tushar Kataria; Beatrice S. Knudsen; Shireen Y. Elhabian (ISBI, 2024)

VIMs: Virtual Immunohistochemistry Multiplex Staining via Text-to-Stain Diffusion Trained on Uniplex Stains. - Shikha Dubey; Yosep Chong; Beatrice Knudsen; Shireen Y. Elhabian (MLMI@MICCAI (1), 2024)

StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining. - Tushar Kataria; Beatrice Knudsen; Shireen Y. Elhabian (CoRR, 2024)

DuoFormer: Leveraging Hierarchical Visual Representations by Local and Global Attention. - Xiaoya Tang; Bodong Zhang; Beatrice S. Knudsen; Tolga Tasdizen (CoRR, 2024)

PathMoCo: A Novel Framework to Improve Feature Embedding in Self-supervised Contrastive Learning for Histopathological Images. - Hamid Manoochehri; Bodong Zhang; Beatrice S. Knudsen; Tolga Tasdizen (CoRR, 2024)

F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation. - Man Minh Ho; Shikha Dubey; Yosep Chong; Beatrice Knudsen; Tolga Tasdizen (WACV, 2025)

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 (Medical Image Anal., 2025)

WeakSupCon: Weakly Supervised Contrastive Learning for Encoder Pre-training. - Bodong Zhang; Hamid Manoochehri; Beatrice S. Knudsen; Tolga Tasdizen (CoRR, 2025)

ImplicitStainer: Data-Efficient Medical Image Translation for Virtual Antibody-based Tissue Staining Using Local Implicit Functions. - Tushar Kataria; Beatrice Knudsen; Shireen Y. Elhabian (CoRR, 2025)

DuoFormer: Leveraging Hierarchical Representations by Local and Global Attention Vision Transformer. - Xiaoya Tang; Bodong Zhang; Man Minh Ho; Beatrice S. Knudsen; Tolga Tasdizen (CoRR, 2025)