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Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.

G. Shkëmbi, J. Müller, Z. Li, K. Breininger, P. Schüffler, and B. Kainz. DEMI@MICCAI, volume 14314 of Lecture Notes in Computer Science, page 11-20. Springer, (2023)

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Johanna Müller

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Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks.M. Baugh, J. Tan, J. Müller, M. Dombrowski, J. Batten, and B. Kainz. MICCAI (1), volume 14220 of Lecture Notes in Computer Science, page 162-172. Springer, (2023)nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods.M. Baugh, J. Tan, A. Vlontzos, J. Müller, and B. Kainz. UNSURE@MICCAI, volume 13563 of Lecture Notes in Computer Science, page 103-112. Springer, (2022)Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.G. Shkëmbi, J. Müller, Z. Li, K. Breininger, P. Schüffler, and B. Kainz. DEMI@MICCAI, volume 14314 of Lecture Notes in Computer Science, page 11-20. Springer, (2023)Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks.J. Müller, and B. Kainz. CoRR, (2024)Adnexal Mass Segmentation with Ultrasound Data Synthesis.C. Lebbos, J. Barcroft, J. Tan, J. Müller, M. Baugh, A. Vlontzos, S. Saso, and B. Kainz. ASMUS@MICCAI, volume 13565 of Lecture Notes in Computer Science, page 106-116. Springer, (2022)Confidence-Aware and Self-supervised Image Anomaly Localisation.J. Müller, M. Baugh, J. Tan, M. Dombrowski, and B. Kainz. UNSURE@MICCAI, volume 14291 of Lecture Notes in Computer Science, page 177-187. Springer, (2023)Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability.M. Dombrowski, H. Reynaud, J. Müller, M. Baugh, and B. Kainz. AAAI, page 21037-21045. AAAI Press, (2024)Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging.C. Jehn, J. Müller, and B. Kainz. Bildverarbeitung für die Medizin, page 25-31. Springer, (2023)Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects.M. Stegmaier, J. Müller, C. Schröder, T. Day, M. Cuomo, O. Dewald, S. Dittrich, and B. Kainz. Bildverarbeitung für die Medizin, page 255-260. Springer, (2024)

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Disambiguation of "Müller, Johanna P."

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Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.

Please choose a person to relate this publication to

Johanna Müller

Johanna Müller

Johanna Müller

Johanna Müller

Johanna Müller

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Müller, Johanna P."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.

Please choose a person to relate this publication to

Johanna Müller

Johanna Müller

Johanna Müller

Johanna Müller

Johanna Müller

Other publications of authors with the same name

Disambiguation

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URL
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Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis.