Description

Book Synopsis

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.

Foundation Models for General Medical AI

    Product form

    £44.99

    Includes FREE delivery

    RRP £4,499.00 – you save £4,454.01 (99%)

    Order before 4pm today for delivery by Mon 29 Jun 2026.

    A Paperback by Won-Ki Jeong

    15 in stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Foundation Models for General Medical AI by Won-Ki Jeong

      Publisher: Springer
      Publication Date: 11/9/2025
      ISBN13: 9783032078445, 978-3032078445
      ISBN10: 303207844X

      Description

      Book Synopsis

      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.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account