Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
352-02-005 / 352-02-005 ISMRM Abstract

Biopsy-Informed Automatic Labeling for Prostate MRI: Evaluating a Knowledge-Transfer Pipeline

Primary: Body - Prostate
Secondary: Analysis Methods - Segmentation and Detection
352-02-005 · Segmentation: Automated, Scalable, and Clinically Oriented MRI Analysis · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 2
352-02-005 · Segmentation: Automated, Scalable, and Clinically Oriented MRI Analysis · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 2
Keywords: Prostate MRI Knowledge Distillation Lesion segmentation
Accepted
Jinyang Yu 1,2, Mark E Ladd1,3,4, Tristan A Kuder1,3, David Bonekamp4,5,6
1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
2Faculty of Engineering Sciences, Heidelberg University, Heidelberg, Germany
3Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
4Faculty of Medicine, Heidelberg University, Heidelberg, Germany
5Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
6National Center for Tumor Diseases (NCT), Heidelberg, Germany
Presenting Author: Jinyang Yu

Synopsis

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References

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6. Netzer, N., Weißer, C., Schelb, P., Wang, X., Qin, X., Görtz, M., ... & Bonekamp, D. (2021). Fully automatic deep learning in bi-institutional prostate magnetic resonance imaging: effects of cohort size and heterogeneity. Investigative radiology, 56(12), 799-808. https://doi.org/10.1097/RLI.0000000000000791 [doi]
7. Bonekamp, D., Schelb, P., Wiesenfarth, M., Kuder, T. A., Deister, F., Stenzinger, A., ... & Radtke, J. P. (2019). Histopathological to multiparametric MRI spatial mapping of extended systematic sextant and MR/TRUS-fusion-targeted biopsy of the prostate. European radiology, 29(4), 1820-1830. https://doi.org/10.1007/s00330-018-5751-1 [doi]
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9. Bradley, A. P. (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern recognition, 30(7), 1145-1159. https://doi.org/10.1016/S0031-3203(96)00142-2 [doi]
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Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/352-02-005