32 results on '"Roger J. Packer"'
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2. Quantitative Metrics for Benchmarking Medical Image Harmonization.
3. Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data.
4. Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging.
5. BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
6. The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
7. From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors.
8. Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI.
9. The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
10. First-in-human sonodynamic therapy with ALA for pediatric diffuse intrinsic pontine glioma: a phase 1/2 study using low-intensity focused ultrasound
11. Hypothalamic-Pituitary and Other Endocrine Surveillance Among Childhood Cancer Survivors
12. Clinical implications of the 2021 edition of the WHO classification of central nervous system tumours
13. Optical genome mapping identifies a novel pediatric embryonal tumor with a ZNF532::NUTM1 fusion
14. Supplementary Figures 1 - 2 from Phase I Study of Vismodegib in Children with Recurrent or Refractory Medulloblastoma: A Pediatric Brain Tumor Consortium Study
15. Supplemental Data from Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy
16. Data from Phase I Study of Vismodegib in Children with Recurrent or Refractory Medulloblastoma: A Pediatric Brain Tumor Consortium Study
17. Supplementary table 4 from Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy
18. Data from Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy
19. Data from Upfront Biology-Guided Therapy in Diffuse Intrinsic Pontine Glioma: Therapeutic, Molecular, and Biomarker Outcomes from PNOC003
20. Supplementary table 2 from Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy
21. Supplementary table 1 from Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy
22. Supplementary Tables 1 - 3 from Phase I Study of Vismodegib in Children with Recurrent or Refractory Medulloblastoma: A Pediatric Brain Tumor Consortium Study
23. Supplementary Figure from Upfront Biology-Guided Therapy in Diffuse Intrinsic Pontine Glioma: Therapeutic, Molecular, and Biomarker Outcomes from PNOC003
24. Surveillance imaging and early surgical intervention for improved CNS tumor outcomes in children with Li-Fraumeni syndrome: Children's National Hospital experience and literature review
25. Optical Genome Mapping Identifies a Novel Pediatric Embryonal Tumor Subtype with a ZNF532-NUTM1 Fusion
26. Two clinically distinct cases of infant hemispheric glioma carrying ZCCHC8:ROS1 fusion and responding to entrectinib
27. Addendum: Histological and molecular analysis of a progressive diffuse intrinsic pontine glioma and synchronous metastatic lesions: a case report
28. Primary analysis of a phase II trial of dabrafenib plus trametinib (dab + tram) in BRAF V600–mutant pediatric low-grade glioma (pLGG)
29. Dabrafenib + trametinib (dab + tram) in relapsed/refractory (r/r) BRAF V600–mutant pediatric high-grade glioma (pHGG): Primary analysis of a phase II trial
30. DIPG-47. TSO500ctDNA sequencing reveals oncogenic mutations and copy number variations in the liquid biome of children with diffuse midline glioma
31. DIPG-48. MRI volumetric and machine learning based analyses predict survival outcome in pediatric diffuse midline glioma
32. OTHR-08. Pediatric Neurologic Assessment in Neuro-oncology (pNANO) Scale: A tool to assess neurologic function for Response Assessment in Neuro-oncology (RAPNO)
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