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A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.

, , , , , , , , , , , and . CoRR, (2020)

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Application of deep neural networks for automatic planning in radiation oncology treatments., , , , , , and . ESANN, (2019)Octree Boundary Transfiner: Efficient Transformers for Tumor Segmentation Refinement., , , and . HECKTOR@MICCAI, volume 13626 of Lecture Notes in Computer Science, page 54-60. Springer, (2022)Mining Domain Knowledge: Improved Framework Towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy., , , and . IEEE Access, (2020)Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion., , and . CoRR, (2020)Can input reconstruction be used to directly estimate uncertainty of a regression U-Net model? - Application to proton therapy dose prediction for head and neck cancer patients., , , , and . CoRR, (2023)Prediction of Type and Recurrence of Atrial Fibrillation after Catheter Ablation via Left Atrial Electroanatomical Voltage Mapping Registration and Multilayer Perceptron Classification: A Retrospective Study., , , , , , , and . Sensors, 22 (11): 4058 (2022)SOCP approaches to joint subcarrier allocation and precoder design for downlink OFDMA systems., , , and . WCNC, page 1248-1252. IEEE, (2014)Safe teleradiology: information assurance as project planning methodology., , , and . CARS, volume 1256 of International Congress Series, page 809-814. Elsevier, (2003)Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with cone-beam computed tomography (CBCT) to computed tomography (CT) image conversion., , and . Mach. Learn. Sci. Technol., 2 (1): 15007 (2021)Cone-Beam Computed Tomography (CBCT) Segmentation by Adversarial Learning Domain Adaptation., , , , , , , , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 567-575. Springer, (2019)