Carol J. Bult

Jackson Laboratory

Full Professor(heuristic)

Radiomics and Machine Learning in Medical Imaging · Radiology, Nuclear Medicine and Imaging

h-index71

i10-index144

Publications529

Citations43,343

Grants

No NSF/NIH grants on record.

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

Potential Collaborators

Recent Publications

Last 2 years · showing 20 of 105

Figure S3 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S13 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S14 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S9 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S11 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S6 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S12 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
PDXNet consortium members from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S7 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S5 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S4 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S2 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S8 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S1 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S15 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Figure S10 from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Supplementary Data from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Supplementary Data from A Pan-Cancer Patient-Derived Xenograft Histology Image Repository with Genomic and Pathologic Annotations Enables Deep Learning Analysis
2026-06-17
Abstract 1528: AZD5851, a TGF-β-resistant GPC3 CAR-T cell product, prolongs animal survival times in patient derived orthotopic xenograft models of medulloblastoma and atypical teratoid rhabdoid tumor
Cancer Research · 2026-04-03
Figure S7 from Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning–Enabled Pediatric Sarcoma Classification
2026-04-02

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