Jingna Qiu

According to our database, Jingna Qiu authored at least 15 papers between 2022 and 2024.

Collaborative distances:

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

2024

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.

Evi M. C. Huijben, Maarten L. Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Peter Koopmans, Manya Afonso, Maureen A. J. M. van Eijnatten, Oliver J. Gurney-Champion, Zeli Chen, Yiwen Zhang, Kaiyi Zheng, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero

Medical Image Anal., 2024

Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion.

Fuxin Fan, Jingna Qiu, Yixing Huang, Andreas K. Maier

CoRR, 2024

Leveraging Image Captions for Selective Whole Slide Image Annotation.

Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation.

Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger

Proceedings of the Computer Vision - ECCV 2024, 2024

Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.

Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger

Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023

Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation.

Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology.

Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks.

Mathias Öttl, Jana Steenpass, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Whole-Body Multi-Organ Segmentation Using Anatomical Attention.

Chang Liu, Felix Denzinger, Lukas Folle, Jingna Qiu, Laura Klein, Joscha Maier, Marc Kachelriess, Michael Lell, Andreas Maier

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset.

Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset.

Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy.

Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger

Proceedings of the Bildverarbeitung für die Medizin 2023, 2023

2022

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks.

Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger

CoRR, 2022

Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset.

Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville

CoRR, 2022

Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation.

Jingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022