Meeting ReportOncology, Basic and Translational - Technical Advances & Quantification (this would include image-guided diagnostics/therapy)
Machine Learning-Enhanced Patient-Specific Dosimetry: Automatic Segmentation Voxel Dosimetry in Open Source TriDFusion (3DF) Software
Daniel Lafontaine, Harry Marquis, Adam Kesner, Assen Kirov, Olga Talarico, Simone Krebs, Constantinos Sofocleous, Heiko Schoder, John Humm and Lukas Carter
Journal of Nuclear Medicine June 2024, 65 (supplement 2) 241493;
Daniel Lafontaine
1Memorial Sloan Kettering Cancer Center
Harry Marquis
1Memorial Sloan Kettering Cancer Center
Adam Kesner
1Memorial Sloan Kettering Cancer Center
Assen Kirov
1Memorial Sloan Kettering Cancer Center
Olga Talarico
2MSKCC
Simone Krebs
2MSKCC
Constantinos Sofocleous
2MSKCC
Heiko Schoder
2MSKCC
John Humm
3Memorial Sloan Kettering
Lukas Carter
1Memorial Sloan Kettering Cancer Center

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In this issue
Journal of Nuclear Medicine
Vol. 65, Issue supplement 2
June 1, 2024
Machine Learning-Enhanced Patient-Specific Dosimetry: Automatic Segmentation Voxel Dosimetry in Open Source TriDFusion (3DF) Software
Daniel Lafontaine, Harry Marquis, Adam Kesner, Assen Kirov, Olga Talarico, Simone Krebs, Constantinos Sofocleous, Heiko Schoder, John Humm, Lukas Carter
Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 241493;
Machine Learning-Enhanced Patient-Specific Dosimetry: Automatic Segmentation Voxel Dosimetry in Open Source TriDFusion (3DF) Software
Daniel Lafontaine, Harry Marquis, Adam Kesner, Assen Kirov, Olga Talarico, Simone Krebs, Constantinos Sofocleous, Heiko Schoder, John Humm, Lukas Carter
Journal of Nuclear Medicine Jun 2024, 65 (supplement 2) 241493;
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