520 results on '"Hatt M"'
Search Results
2. Spot spraying broad-leaved dock plants in meadows
3. Oncologie-radiothérapie horizon 2030 : du microbiote au laser plasma
4. Use of radiomics in the radiation oncology setting: Where do we stand and what do we need?
5. Deep Learning-Based Outcome Prediction Using Harmonized CT Images for Head and Neck Cancer Patients: A Novel Approach with Attention and DeepHitSingle
6. PET-Based Radiogenomics Supports KEAP1/NFE2L2 Pathway Targeting for Non-Small Cell Lung Cancer Treated with Curative Radiotherapy
7. Performance comparison of modified ComBat for harmonization of radiomic features for multicenter studies
8. Étude de la robustesse des paramètres d’hétérogénéité en TEP-FDG des lymphomes du manteau inclus dans l’étude LyMa
9. A framework for multimodal imaging-based prognostic model building: Preliminary study on multimodal MRI in Glioblastoma Multiforme
10. Nouveaux indices en TEP/TDM : mythe et réalités
11. Joint EANM/SNMMI guideline on radiomics in nuclear medicine
12. Denoising of PET images by combining wavelets and curvelets for improved preservation of resolution and quantitation
13. PO-1245 Radiomics features and functional radiosensitivity enhances prediction of acute pulmonary toxicity.
14. Implantierbare Systeme
15. Hypoxia imaging with [18F]-FMISO-PET for guided dose escalation with intensity-modulated radiotherapy in head-and-neck cancers
16. Méthodologies de définition automatique des volumes métaboliquement actifs en TEP : évaluation et perspectives
17. Linking soil N dynamics and plant N uptake by means of sensor support
18. Implantierbare Systeme
19. Development and Validation of a Spatial Dose Pattern Based Model Predicting Acute Pulmonary Toxicity in Patients Treated With Volumetric Arc-Therapy for Locally Advanced Lung Cancer
20. Prediction of Complete Pathological Response to Neo-Adjuvant Chemoradiotherapy Using Magnetic Resonance Imaging-Based Radiomics Analysis in Locally Advanced Rectal Cancer.
21. Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images
22. Prédiction de la réponse pathologique complète à la chimioradiothérapie néoadjuvante à l’aide d’une analyse radiomique basée sur l’imagerie par résonance magnétique pour le cancer du rectum localement évolué
23. Développement et validation d’un modèle basé sur l’analyse par voxel pour la prédiction de la toxicité pulmonaire aiguë chez les patients pris en charge par arcthérapie volumétrique pour un cancer du poumon localement évolué
24. Implantierbare Systeme
25. Potential of [18F]-Fluoromisonidazole positron-emission tomography for radiotherapy planning in head and neck squamous cell carcinomas
26. Intraokulare Linsenimplantation in subkonjunktivaler Lokalanästhesie
27. PO-1158 Validation of a spatial dose pattern predicting pulmonary toxicity in patients treated with VMAT for a lung cancer
28. Segmentation automatique par DeepLearning en contexte de métastases hépatiques de cancer du côlon
29. PO-1246 Prediction of response to neo-adjuvant chemoradiotherapy using radiomics in rectal cancer
30. Valeur pronostique des paramètres issus de l’analyse d’imagerie diagnostique dans les cancers colorectaux : une étude multicentrique
31. Predicting response to radiotherapy of head and neck squamous cell carcinoma using radiomics from cone-beam CT images
32. HER2-overexpressing breast cancer: FDG uptake after two cycles of chemotherapy predicts the outcome of neoadjuvant treatment
33. PSMA PET/MR radiomics to improve postsurgical Gleason score prediction in prostate cancer
34. Contrast enhancement in emission tomography by way of synergistic PET/CT image combination
35. Incorporation of wavelet-based denoising in iterative deconvolution for partial volume correction in whole-body PET imaging
36. Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer
37. Machine Learning and Oversampling techniques to predict urinary toxicity after prostate cancer
38. Harmonization strategies for multicenter radiomics investigations
39. PH-0283: Machine learning methods to predict rectal bleeding after prostate cancer radiotherapy
40. PO-1535: Machine Learning and Oversampling techniques to predict urinary toxicity after prostate cancer RT
41. PO-1551: Deep CNN on PET/CT images for NSCLC automated tumor detection and outcome prediction
42. PO-1199: Rectal toxicity prostate cancer treated with Brachytherapy: a radiomics-machine learning based NTCP
43. PO-1530: Pulmonary toxicity in lung cancer treated by (chemo)-radiotherapy : a radiomics-based NTCP.
44. PO-1562: Radiomics applied to dose distributions to predict toxicity after radiotherapy in cervical cancer
45. Pulmonary and Esophageal Toxicity in Lung Cancer Treated by (Chemo)-radiotherapy: A Radiomics-based Prediction Model
46. PD-0658: Suboptimal dosimetric coverage of PET/CT hotspots is associated with recurrence for cervical cancer
47. PO-1553: Development of a CT based radiomic model predictive of non-response to chemotherapy in larynx cancer
48. PO-1583: Non-invasive radiomic imaging prediction of tumour hypoxia: biomarker for FLASH irradiation?
49. Radiomics Analysis of 3D Dose Distributions to Predict Toxicity of Radiotherapy for Cervical Cancer
50. Analyse radiomique de la distribution dosimétrique tridimensionnelle pour la prédiction de la toxicité liée à la radiothérapie du cancer du col de l’utérus
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