Kyle J. Lafata
According to our database1,
Kyle J. Lafata
authored at least 6 papers
between 2021 and 2023.
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Bibliography
2023
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth.
CoRR, 2023
Duke Spleen Data Set: A Publicly Available Spleen MRI and CT dataset for Training Segmentation.
CoRR, 2023
2022
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection.
CoRR, 2022
A Neural Ordinary Differential Equation Model for Visualizing Deep Neural Network Behaviors in Multi-Parametric MRI based Glioma Segmentation.
CoRR, 2022
Spectral micro-CT and radiomic analysis for classification of tumors based on lymphocytic burden in cancer therapy studies.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
Post-Radiotherapy PET Image Outcome Prediction by Deep Learning under Biological Model Guidance: A Feasibility Study of Oropharyngeal Cancer Application.
CoRR, 2021