Ekaterina Redekop

According to our database, Ekaterina Redekop authored at least 11 papers between 2021 and 2025.

Collaborative distances:

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

2025

SPADE: Spatial Transcriptomics and Pathology Alignment Using a Mixture of Data Experts for an Expressive Latent Space.

Ekaterina Redekop, Mara Pleasure, Zichen Wang, Kimberly Flores, Anthony Sisk, William Speier, Corey W. Arnold

CoRR, June, 2025

Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records.

Ekaterina Redekop, Zichen Wang, Rushikesh Kulkarni, Mara Pleasure, Aaron Chin, Hamid Reza Hassanzadeh, Brian L. Hill, Melika Emami, William Speier, Corey W. Arnold

CoRR, March, 2025

Prototype-Guided Diffusion for Digital Pathology: Achieving Foundation Model Performance with Minimal Clinical Data.

Ekaterina Redekop, Mara Pleasure, Vedrana Ivezic, Zichen Wang, Kimberly Flores, Anthony Sisk, William Speier, Corey W. Arnold

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

CytoFM: The first cytology foundation model.

Vedrana Ivezic, Ashwath Radhachandran, Ekaterina Redekop, Shreeram Athreya, Dongwoo Lee, Vivek Sant, Corey W. Arnold, William Speier

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning.

Ekaterina Redekop, Mara Pleasure, Zichen Wang, Anthony Sisk, Yang Zong, Kimberly Flores, William Speier, Corey W. Arnold

CoRR, 2024

Codebook VQ-VAE Approach for Prostate Cancer Diagnosis using Multiparametric MRI.

Ekaterina Redekop, Mara Pleasure, Zichen Wang, Karthik V. Sarma, Adam Kinnaird, William Speier, Corey W. Arnold

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Pathology-Based Ischemic Stroke Etiology Classification via Clot Composition Guided Multiple Instance Learning.

Mara Pleasure, Ekaterina Redekop, Jennifer S. Polson, Haoyue Zhang, Naoki Kaneko, William Speier, Corey W. Arnold

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Abhejit Rajagopal, Ekaterina Redekop, Anil Kemisetti, Rushi Kulkarni, Steven S. Raman, Kirti Magudia, Corey W. Arnold, Peder E. Z. Larson

CoRR, 2022

Attention-Guided Prostate Lesion Localization and Grade Group Classification with Multiple Instance Learning.

Ekaterina Redekop, Karthik V. Sarma, Adam Kinnaird, Anthony Sisk, Steven S. Raman, Leonard S. Marks, William Speier, Corey W. Arnold

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021

Medical Image Segmentation with Imperfect 3D Bounding Boxes.

Ekaterina Redekop, Alexey Chernyavskiy

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Uncertainty-Based Method for Improving Poorly Labeled Segmentation Datasets.

Ekaterina Redekop, Alexey Chernyavskiy

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021