18 results on '"Stephanie E Combs"'
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2. All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
3. Analysis of clinical, dosimetric and radiomic features for predicting local failure after stereotactic radiotherapy of brain metastases in malignant melanoma.
4. Nearest Neighbor-Based Strategy to Optimize Multi-View Triplet Network for Classification of Small-Sample Medical Imaging Data.
5. A Unified 3D Framework for Organs-at-Risk Localization and Segmentation for Radiation Therapy Planning.
6. Self-Supervised Pretext Tasks in Model Robustness & Generalizability: A Revisit from Medical Imaging Perspective.
7. Regularizing the Deepsurv Network Using Projection Loss for Medical Risk Assessment.
8. All Sizes Matter: Improving Volumetric Brain Segmentation on Small Lesions.
9. A Video Data Based Transfer Learning Approach for Classification of MGMT Status in Brain Tumor MR Images.
10. Deep Learning Based GTV Delineation and Progression Free Survival Risk Score Prediction for Head and Neck Cancer Patients.
11. Do We Need Complex Image Features to Personalize Treatment of Patients with Locally Advanced Rectal Cancer?
12. Deep Reinforcement Learning for Organ Localization in CT.
13. A unified 3D framework for Organs at Risk Localization and Segmentation for Radiation Therapy Planning.
14. Shape-Aware Complementary-Task Learning for Multi-organ Segmentation.
15. Evaluating the Robustness of Self-Supervised Learning in Medical Imaging.
16. Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients.
17. Deep Reinforcement Learning for Organ Localization in CT.
18. Five-year experience with setup and implementation of an integrated database system for clinical documentation and research.
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