Ekaterina Redekop

According to our database, Ekaterina Redekop authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

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