20 results on '"Hatt M"'
Search Results
2. TU-CD-BRB-10: 18F-FDG PET Image-Derived Tumor Features Highlight Altered Pathways Identified by Trancriptomic Analysis in Head and Neck Cancer
3. WE-AB-BRA-04: Evaluation of the Tumor Registration Error in Biopsy Procedures Performed Under Real Time PET/CT Guidance
4. WE‐E‐17A‐05: Complementary Prognostic Value of CT and 18F‐FDG PET Non‐Small Cell Lung Cancer Tumor Heterogeneity Features Quantified Through Texture Analysis
5. TU-A-WAB-09: Functional Tumor Shape Characterization On Baseline 18F-FDG PET Images Predicts Response to Concomitant Radio-Chemotherapy in Esophageal Cancer
6. SU-D-500-04: Impact of Delineation and Partial Volume Effects Correction On PET Uptake Heterogeneity Quantification Through Textural Features Analysis for Therapy Response in Oncology
7. TU‐A‐141‐01: Multi Modal PET/CT Imaging for Therapy Response Early Prediction and Therapy Monitoring
8. WE-E-BRC-01: Impact of Tumor Size and 18F-FDG Tracer Uptake Heterogeneity in Non-Small Cell Lung Cancer Tumor Automatic Delineation on PET and CT Images for Gross Tumor Volumes Determination
9. SU-E-J-97: Predictive and Prognostic Clinical Values of 18F-FDG PET Based Measurements in Locally Advanced Esophageal Cancer Are Not Improved by Partial Volume Effects Correction
10. TU-A-BRC-10: Tumor Metabolic Dimension Measurements on 18F-FDG PET Pre Treatment Image Predicts Response to Exclusive Concomitant Radiochemotherapy in Locally Advanced Esophageal Cance
11. SU‐E‐J‐113: Impact of 4D PET and Motion Correction in the Delineation of Gross Tumor Volume for Radiotherapy Treatment Planning in Lung Cancer
12. SU-E-J-53: Multi Observation PET Image Fusion for Patient Follow-Up Quantitation in Oncology
13. Statistical harmonization can improve the development of a multicenter CT-based radiomic model predictive of nonresponse to induction chemotherapy in laryngeal cancers.
14. A framework based on hidden Markov trees for multimodal PET/CT image co-segmentation.
15. Evaluation of the tumor registration error in biopsy procedures performed under real-time PET/CT guidance.
16. Toward a standard for the evaluation of PET-Auto-Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation.
17. Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.
18. SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.
19. Investigation of realistic PET simulations incorporating tumor patient's specificity using anthropomorphic models: creation of an oncology database.
20. Evaluation of a 3D local multiresolution algorithm for the correction of partial volume effects in positron emission tomography.
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