Radiomics-Based Assessment of Radiation-Induced Lung Injury after Stereotactic Body Radiotherapy von Moran, Angel, Daly, Megan E, Yip, Stephen S.F, Yamamoto, Tokihiro

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Applications and limitations of radiomics von Yip, Stephen S F, Aerts, Hugo J W L

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Associations Between Somatic Mutations and Metabolic Imaging Phenotypes in Non-Small Cell Lung Cancer von Yip, Stephen S F, Kim, John, Coroller, Thibaud P, Parmar, Chintan, Velazquez, Emmanuel Rios, Huynh, Elizabeth, Mak, Raymond H, Aerts, Hugo J W L

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Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer von Yip, Stephen S. F., Liu, Ying, Parmar, Chintan, Li, Qian, Liu, Shichang, Qu, Fangyuan, Ye, Zhaoxiang, Gillies, Robert J., Aerts, Hugo J. W. L.

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Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas von Kandemirli, Sedat Giray, Kocak, Burak, Naganawa, Shotaro, Ozturk, Kerem, Yip, Stephen S.F., Chopra, Saurav, Rivetti, Luciano, Aldine, Amro Saad, Jones, Karra, Cayci, Zuzan, Moritani, Toshio, Sato, Takashi Shawn

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Development and validation of a longitudinal soft-tissue metastatic lesion matching algorithm von Santoro-Fernandes, Victor, Huff, Daniel, Scarpelli, Mathew L, Perk, Timothy G, Albertini, Mark R, Perlman, Scott, Yip, Stephen S F, Jeraj, Robert

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Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation von Yip, Stephen S F, Parmar, Chintan, Blezek, Daniel, Estepar, Raul San Jose, Pieper, Steve, Kim, John, Aerts, Hugo J W L

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Texture analysis of T2-weighted MRI predicts SDH mutation in paraganglioma von Naganawa, Shotaro, Kim, John, Yip, Stephen S. F., Ota, Yoshiaki, Srinivasan, Ashok, Moritani, Toshio

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Impact of experimental design on PET radiomics in predicting somatic mutation status von Yip, Stephen S.F., Parmar, Chintan, Kim, John, Huynh, Elizabeth, Mak, Raymond H., Aerts, Hugo J.W.L.

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Use of registration-based contour propagation in texture analysis for esophageal cancer pathologic response prediction von Yip, Stephen S F, Coroller, Thibaud P, Sanford, Nina N, Huynh, Elizabeth, Mamon, Harvey, Aerts, Hugo J W L, Berbeco, Ross I

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Incorporation of intrapatient response heterogeneity using 18 F-NaF PET/CT imaging improves outcome prediction models for metastatic prostate cancer patients von Perk, Timothy G., Yip, Stephen S.F., Weisman, Amy J., Houshmandi, Sean S., Heath, Elisabeth I., Morris, Michael J., Madan, Ravi Amrit, McNeel, Douglas G., Apolo, Andrea B., Kyriakopoulos, Christos, Liu, Glenn, Jeraj, Robert

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Beam's‐eye‐view imaging during non‐coplanar lung SBRT von Yip, Stephen S. F., Rottmann, Joerg, Berbeco, Ross I.

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Prognostic Value of Computed Tomography and/or 18F-Fluorodeoxyglucose Positron Emission Tomography Radiomics Features in Locally Advanced Non-small Cell Lung Cancer von Moran, Angel, Wang, Yichuan, Dyer, Brandon A., Yip, Stephen S.F., Daly, Megan E., Yamamoto, Tokihiro

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Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients von Yip, Stephen S F, Coroller, Thibaud P, Sanford, Nina N, Mamon, Harvey, Aerts, Hugo J W L, Berbeco, Ross I

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Semi‐automated pulmonary nodule interval segmentation using the NLST data von Balagurunathan, Yoganand, Beers, Andrew, Kalpathy‐Cramer, Jayashree, McNitt‐Gray, Michael, Hadjiiski, Lubomir, Zhao, Bensheng, Zhu, Jiangguo, Yang, Hao, Yip, Stephen S.F., Aerts, Hugo J.W.L., Napel, Sandy, Cherezov, Dmitrii, Cha, Kenny, Chan, Heang‐Ping, Flores, Carlos, Garcia, Alberto, Gillies, Robert, Goldgof, Dmitry

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Technical Note: Combination of multiple EPID imager layers improves image quality and tracking performance of low contrast‐to‐noise objects von Yip, Stephen S.F., Rottmann, Joerg, Chen, Haijian, Morf, Daniel, Füglistaller, Rony, Star‐Lack, Josh, Zentai, George, Berbeco, Ross

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Accelerating pharmaceutical R&D with a user-friendly AI system for histopathology image analysis von Lutnick, Brendon, Ramon, Albert Juan, Ginley, Brandon, Csiszer, Carlos, Kim, Alex, Flament, Io, Damasceno, Pablo F., Cornibe, Jonathan, Parmar, Chaitanya, Standish, Kristopher, Carrasco-Zevallos, Oscar, Yip, Stephen S.F.

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Accelerating pharmaceutical R D with a user-friendly AI system for histopathology image analysis von Brendon Lutnick, Albert Juan Ramon, Brandon Ginley, Carlos Csiszer, Alex Kim, Io Flament, Pablo F. Damasceno, Jonathan Cornibe, Chaitanya Parmar, Kristopher Standish, Oscar Carrasco-Zevallos, Stephen S.F. Yip

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Abstract 6554: Prediction of MET amplification from H&E images in non small cell lung cancer using self-supervised deep learning and its role in clinical trial enrollment von Parmar, Chaitanya, Carrasco-Zevallos, Oscar M., Curtin, Joshua C., Govind, Darshana, Xia, Bing, Shreeve, S. Martin, Wang, Songbai, Jatkoe, Timothy, Raciti, Patricia, Demirdjian, Levon, Greshock, Joel, Standish, Kristopher, Yip, Stephen S.F.

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Abstract 5053: Artificial intelligence (AI)-based multimodal framework predicts androgen-deprivation therapy (ADT) outcomes in non-metastatic castration resistant prostate cancer (... von Mobadersany, Pooya, Lucas, Justin, Govind, Darshana, Aguilar-Bonavides, Clemente, McCarthy, Sharon, Brookman-May, Sabine, Yu, Margaret K., Tian, Ken, Hutnick, Natalie, Zamalloa, Jose, Greshock, Joel, Khan, Najat, Yip, Stephen S.F.

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