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Martin Eklund

Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden

Reconsidering evaluation practices in modular systems: On the propagation of errors in MRI prostate cancer detection

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Sep 15, 2023
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Leveraging multi-view data without annotations for prostate MRI segmentation: A contrastive approach

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Aug 12, 2023
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Prostate Age Gap : An MRI surrogate marker of aging for prostate cancer detection

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Aug 10, 2023
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Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis

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Jul 07, 2023
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Using deep learning to detect patients at risk for prostate cancer despite benign biopsies

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Jul 31, 2021
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Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks

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Apr 19, 2021
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Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks

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Apr 03, 2020
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Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence

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Jul 02, 2019
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