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Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion.

, , , , and . ISMM, volume 10225 of Lecture Notes in Computer Science, page 455-466. (2017)

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Assigning statistical significance to tumor changes in patient monitoring using FDG pet., , , and . ISBI, page 121-124. IEEE, (2008)Spectral Factor Analysis for Multi-isotope Imaging in Nuclear Medicine., , , , and . IPMI, volume 1613 of Lecture Notes in Computer Science, page 442-447. Springer, (1999)Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion., , , , and . ISMM, volume 10225 of Lecture Notes in Computer Science, page 455-466. (2017)4DGVF segmentation of vector-valued images., , , , , and . ICIP, page 11-15. IEEE, (2014)Detection and characterization of the tumor change between two FDG PET scans using parametric imaging., , , and . ISBI, page 21-24. IEEE, (2008)Simplicity Is All You Need: Out-of-the-Box nnUNet Followed by Binary-Weighted Radiomic Model for Segmentation and Outcome Prediction in Head and Neck PET/CT., , , , and . HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 121-134. Springer, (2022)4DGVF-based filtering of vector-valued images., , , , and . ICIP, page 4592-4596. IEEE, (2014)The need to develop guidelines for the evaluation of medical image processing procedures., , , , , , , , and . Medical Imaging: Image Processing, volume 3661 of SPIE Proceedings, SPIE, (1999)Can Structural MRI Radiomics Predict DIPG Histone H3 Mutation and Patient Overall Survival at Diagnosis Time?, , , , , , , , , and . BHI, page 1-4. IEEE, (2019)Evaluation of Registration of Ictal SPECT/MRI Data Using Statistical Similarity Methods., , , , and . MICCAI (1), volume 3216 of Lecture Notes in Computer Science, page 687-695. Springer, (2004)