1278 TME-IS: a holotomography-based integrated segmentation for comprehensive analysis of extracellular components and cells in the tumor microenvironments von Choi, Yoon Ho, Redekop, Ekaterina, Kim, Minji, Hwang, Tae Hyun

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Federated Learning with Research Prototypes: Application to Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology von Rajagopal, Abhejit, Redekop, Ekaterina, Kemisetti, Anil, Kulkarni, Rushikesh, Raman, Steven, Sarma, Karthik, Magudia, Kirti, Arnold, Corey W., Larson, Peder E.Z.

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Medical Image Segmentation with Imperfect 3D Bounding Boxes von Redekop, Ekaterina, Chernyavskiy, Alexey

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Medical image segmentation with imperfect 3D bounding boxes von Redekop, Ekaterina, Chernyavskiy, Alexey

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Uncertainty-based method for improving poorly labeled segmentation datasets von Redekop, Ekaterina, Chernyavskiy, Alexey

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SEGMENTING A FEATURE IN AN IMAGE von CHERNYAVSKIY, Alexey, REDEKOP, Ekaterina

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Medical image segmentation with imperfect 3D bounding boxes von Redekop, Ekaterina, Chernyavskiy, Alexey

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Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning von Redekop, Ekaterina, Pleasure, Mara, Wang, Zichen, Sisk, Anthony, Zong, Yang, Flores, Kimberly, Speier, William, Arnold, Corey W

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Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning von Redekop, Ekaterina, Pleasure, Mara, Wang, Zichen, Sisk, Anthony, Zong, Yang, Flores, Kimberly, Speier, William, Arnold, Corey W

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Uncertainty-based method for improving poorly labeled segmentation datasets von Redekop, Ekaterina, Chernyavskiy, Alexey

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Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology von Rajagopal, Abhejit, Redekop, Ekaterina, Kemisetti, Anil, Kulkarni, Rushi, Raman, Steven, Magudia, Kirti, Arnold, Corey W, Larson, Peder E. Z

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Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning von Redekop, Ekaterina, Pleasure, Mara, Wang, Zichen, Sisk, Anthony, Yang, Zong, Flores, Kimberly, Speier, William, Arnold, Corey W

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Federated Learning with Research Prototypes for Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology von Rajagopal, Abhejit, Redekop, Ekaterina, Kemisetti, Anil, Kulkarni, Rushi, Raman, Steven, Magudia, Kirti, Arnold, Corey W, Larson, Peder E Z

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