2025-12-09 08:08 |
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2025-12-09 08:05 |
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2025-12-08 11:44 |
[DKFZ-2025-02819]
Contribution to a conference proceedings/Contribution to a book
Stock, R. ; Kirchhoff, Y. ; Rokuss, M. ; et al
Segment Anything in Medical Images
2025Medical Image Segmentation Foundation Models CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, SeattleSeattle, USA, 17 Jun 2024 - 21 Jun 20242024-06-172024-06-21
10 pp. (2025)2025
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2025-12-08 11:38 |
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2025-12-08 10:42 |
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2025-11-03 09:22 |
[DKFZ-2025-02251]
Journal Article/Contribution to a conference proceedings/Contribution to a book
Jeong, W.-K. ; Kim, H. J. ; Deng, Z. ; et al
Improving Medical Visual Instruction Tuning with Labeled Datasets
2026Foundation Models for General Medical AI / Jeong, Won-Ki (Editor) [https://orcid.org/0000-0002-9393-6451] ; Cham : Springer Nature Switzerland, 2026, Chapter 9 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-032-07844-5=978-3-032-07845-2 ; doi:10.1007/978-3-032-07845-2 3rd International Workshop on Foundation Models for Medical Artificial General Intelligence, MedAGI 2025, Held in Conjunction with the 28th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, DaejeonDaejeon, South Korea, 27 Sep 2025 - 27 Sep 20252025-09-272025-09-27
Lecture Notes in Computer Science 16112 LNCS, 87 - 97 (2026) [DOI:10.1007/978-3-032-07845-2_9]2026
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2025-11-03 09:18 |
[DKFZ-2025-02250]
Journal Article/Contribution to a conference proceedings/Contribution to a book
Wachinger, C. ; Luijten, G. ; Elhabian, S. ; et al
Parametric Shape Models for Vessels Learned from Segmentations via Differentiable Voxelization
2026Shape in Medical Imaging / Wachinger, Christian (Editor) [https://orcid.org/0000-0002-3652-1874] ; Cham : Springer Nature Switzerland, 2026, Chapter 19 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-032-06773-9=978-3-032-06774-6 ; doi:10.1007/978-3-032-06774-6 International Workshop on Shape in Medical Imaging, ShapeMI 2025, Held in Conjunction with the 28th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2025, DaejeonDaejeon, South Korea, 23 Sep 2025 - 23 Sep 20252025-09-232025-09-23
Lecture Notes in Computer Science 16171 LNCS, 247 - 261 (2026) [DOI:10.1007/978-3-032-06774-6_19]2026
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2025-10-20 11:46 |
[DKFZ-2025-02157]
Journal Article/Contribution to a conference proceedings/Contribution to a book
Zhang, T. ; Saldanha, O. L. ; Han, L. ; et al
On Tackling Domain Shift in Breast MRI Using Only Publicly-Available Data: Reproducible Breast Cancer Segmentation and pCR Prediction
2026Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care / Zhang, Tianyu (Editor) [https://orcid.org/0000-0001-9891-6874] ; Cham : Springer Nature Switzerland, 2026, Chapter 31 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-032-05558-3=978-3-032-05559-0 ; doi:10.1007/978-3-032-05559-0 2nd Deep Breast Workshop on Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care, Deep-Breath 2025, held in conjunction with the 28th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2025, DaejeonDaejeon, South Korea, 23 Sep 2025 - 23 Sep 20252025-09-232025-09-23
Lecture Notes in Computer Science 16142 LNCS, 310 - 319 (2026) [DOI:10.1007/978-3-032-05559-0_31]2026
Breast magnetic resonance imaging (MRI) offers high diagnostic capability for breast cancer, but comparison of machine learning (ML) methods has historically been limited by the lack of annotated public data. The MAMA-MIA challenge addresses this by providing voxel-level tumor segmentations for n = 1506 pre-treatment DCE-MRI cases. [...]
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2025-10-17 09:32 |
[DKFZ-2025-02141]
Contribution to a conference proceedings/Contribution to a book
Zamzmi, G. ; Reinke, A. ; Samala, R. ; et al
Some Hidden Traps of Confidence Intervals in Medical Image Segmentation: Coverage Issues
2026Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning / Zamzmi, Ghada (Editor) [https://orcid.org/0000-0003-4723-5539] ; Cham : Springer Nature Switzerland, 2026, Chapter 2 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-032-05665-8=978-3-032-05663-4 ; doi:10.1007/978-3-032-05663-4 1st International Workshop on Bridging Regulatory Science and Medical Imaging Evaluation, BRIDGE 2025 and 6th MICCAI Workshop on Distributed, Collaborative and Federated Learning, DeCaF 2025, Held in Conjunction with 28th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025, DaejeonDaejeon, South Korea, 23 Sep 2025 - 27 Sep 20252025-09-232025-09-27
Cham : Springer Nature Switzerland, Lecture Notes in Computer Science 16135, 15 - 24 (2026) [DOI:10.1007/978-3-032-05663-4_2] special issue: "Lecture Notes in Computer Science" (978-303205665-8)2026
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2025-10-16 09:39 |
[DKFZ-2025-02130]
Journal Article/Contribution to a conference proceedings/Contribution to a book
Leonardis, A. ; Ricci, E. ; Roth, S. ; et al
Quality Assured: Rethinking Annotation Strategies in Imaging AI
2025Computer Vision – ECCV 2024 / Leonardis, Aleš (Editor) [https://orcid.org/0000-0003-0773-3277] ; Cham : Springer Nature Switzerland, 2025, Chapter 4 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-031-73228-7=978-3-031-73229-4 ; doi:10.1007/978-3-031-73229-4 18th European Conference on Computer Vision, ECCV 2024, MilanMilan, Italy, 29 Sep 2024 - 4 Oct 20242024-09-292024-10-04
Lecture Notes in Computer Science 15136 LNCS, 52 - 69 (2025) [DOI:10.1007/978-3-031-73229-4_4]2025
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