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| Link zu diesem Datensatz | https://d-nb.info/1378795075 |
| Titel | Foundation Models for General Medical AI : Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings / edited by Won-Ki Jeong, Hyunwoo J. Kim, Zhongying Deng, Yiqing Shen, Angelica I Aviles-Rivero, Shaoting Zhang |
| Person(en) |
Jeong, Won-Ki (Herausgeber) Kim, Hyunwoo J. (Herausgeber) Deng, Zhongying (Herausgeber) Shen, Yiqing (Herausgeber) Aviles-Rivero, Angelica I. (Herausgeber) Zhang, Shaoting (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XI, 204 p. 63 illus., 57 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-032-07844-5 Printed edition:: ISBN: 978-3-032-07846-9 |
| Inhalt | Lamps: Learning Anatomy from Multiple Perspectives via Self-supervision -- Segment Anything for Cell Tracking -- BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis -- From Pathology to Radiology: Evaluating the Applicability of Pathology Foundation Models -- Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss -- Improved Training Sample Efficiency and Inter-Device Generalizability in Optical Coherence Tomography Fluid Segmentation via Foundation Models -- Taming Stable Diffusion for Computed Tomography Blind Super-Resolution -- RadiSimCLIP: A Radiology Vision-Language Model Pretrained on Simulated Radiologist Learning Dataset for Zero-Shot Medical Image Understanding -- Improving Medical Visual Instruction Tuning with Labeled Datasets -- DR.SIMON: Domain-wise Rewrite for Segment-Informed Medical Oversight Network -- The Data Behind the Model: Gaps and Opportunities for Foundation Models in Brain Imaging -- LGE Scar Quantification Using Foundation Models for Cardiac Disease Classification -- Beyond Broad Applications: Can Pathology Foundation Models Adapt to Hematopathology -- EndoTracker: Robustly Tracking Any Point in Endoscopic Surgical Scene -- Temporally-Constrained Video Reasoning Segmentation and Automated Benchmark Construction -- Cross-Modal Knowledge Distillation for Chest Radiographic Diagnosis via Embedding Expansion, Reconstruction, and Classification -- Random Direct Preference Optimization for Radiography Report Generation -- Test Time Adaptation of Medical Vision-Language Models -- MaskedCLIP: Bridging the Masked and CLIP Space for Semi-Supervised Medical Vision-Language Pre-training |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2510130415184.312224818851 DOI: 10.1007/978-3-032-07845-2 |
| URL | https://doi.org/10.1007/978-3-032-07845-2 |
| ISBN/Einband/Preis | 978-3-032-07845-2 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 16112 |
| DDC-Notation | 006.42 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
Treffer 179 von 136149
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