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Aditya Apte

Showing results (31-40 of 56) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|July 5, 2021
Quality control of radiomic features using 3D-printed CT phantomsUsman Mahmood, Aditya Apte, Christopher Kanan, et al.
BJR Artificial Intelligence|April 29, 2025
Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinomaAbdalla Ibrahim, Ramesh Paudyal, Akash Shah, et al.
Clinical and Translational Radiation Oncology|February 6, 2018
Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapyJamie Dean, Kee Wong, Hiram Gay, et al.
Contrast Media & Molecular Imaging|December 11, 2019
Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast CancersJoao V Horvat, Aditi Iyer, Elizabeth A Morris, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 1, 2018
Parotid gland fat related Magnetic Resonance image biomarkers improve prediction of late radiation-induced xerostomiaLisanne V van Dijk, Maria Thor, Roel J H M Steenbakkers, et al.
Physics and Imaging in Radiation Oncology|August 9, 2022
Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scansGerard M Walls, Valentina Giacometti, Aditya Apte, et al.
International Journal of Radiation Oncology, Biology, Physics|January 2, 2009
Elective clinical target volumes for conformal therapy in anorectal cancer: a radiation therapy oncology group consensus panel contouring atlasRobert J Myerson, Michael C Garofalo, Issam El Naqa, et al.
Physics and Imaging in Radiation Oncology|November 8, 2021
Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapyMaria Thor, Aditi Iyer, Jue Jiang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 23, 2021
Pre-treatment immune status predicts disease control in NSCLCs treated with chemoradiation and durvalumabMaria Thor, Annemarie F Shepherd, Isabel Preeshagul, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|March 14, 2024
An <sup>18</sup>F-FDG PET/CT and Mean Lung Dose Model to Predict Early Radiation Pneumonitis in Stage III Non-Small Cell Lung Cancer Patients Treated with Chemoradiation and ImmunotherapyMaria Thor, Chen Lee, Lian Sun, et al.
Pageof 6

Showing results (31-40 of 56) with videos related to

Sort By:
Pageof 6
Journal of Medical Imaging (Bellingham, Wash.)|July 5, 2021
Quality control of radiomic features using 3D-printed CT phantomsUsman Mahmood, Aditya Apte, Christopher Kanan, et al.
BJR Artificial Intelligence|April 29, 2025
Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinomaAbdalla Ibrahim, Ramesh Paudyal, Akash Shah, et al.
Clinical and Translational Radiation Oncology|February 6, 2018
Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapyJamie Dean, Kee Wong, Hiram Gay, et al.
Contrast Media & Molecular Imaging|December 11, 2019
Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast CancersJoao V Horvat, Aditi Iyer, Elizabeth A Morris, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|July 1, 2018
Parotid gland fat related Magnetic Resonance image biomarkers improve prediction of late radiation-induced xerostomiaLisanne V van Dijk, Maria Thor, Roel J H M Steenbakkers, et al.
Physics and Imaging in Radiation Oncology|August 9, 2022
Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scansGerard M Walls, Valentina Giacometti, Aditya Apte, et al.
International Journal of Radiation Oncology, Biology, Physics|January 2, 2009
Elective clinical target volumes for conformal therapy in anorectal cancer: a radiation therapy oncology group consensus panel contouring atlasRobert J Myerson, Michael C Garofalo, Issam El Naqa, et al.
Physics and Imaging in Radiation Oncology|November 8, 2021
Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapyMaria Thor, Aditi Iyer, Jue Jiang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|December 23, 2021
Pre-treatment immune status predicts disease control in NSCLCs treated with chemoradiation and durvalumabMaria Thor, Annemarie F Shepherd, Isabel Preeshagul, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|March 14, 2024
An <sup>18</sup>F-FDG PET/CT and Mean Lung Dose Model to Predict Early Radiation Pneumonitis in Stage III Non-Small Cell Lung Cancer Patients Treated with Chemoradiation and ImmunotherapyMaria Thor, Chen Lee, Lian Sun, et al.
Pageof 6