Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images von Jiang, Jue, Hu, Yu-Chi, Liu, Chia-Ju, Halpenny, Darragh, Hellmann, Matthew D., Deasy, Joseph O., Mageras, Gig, Veeraraghavan, Harini

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Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation von Jiang, Jue, Hu, Yu-Chi, Tyagi, Neelam, Zhang, Pengpeng, Rimner, Andreas, Mageras, Gig S., Deasy, Joseph O., Veeraraghavan, Harini

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Cross‐modality (CT‐MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets von Jiang, Jue, Hu, Yu‐Chi, Tyagi, Neelam, Zhang, Pengpeng, Rimner, Andreas, Deasy, Joseph O., Veeraraghavan, Harini

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PSIGAN: Joint Probabilistic Segmentation and Image Distribution Matching for Unpaired Cross-Modality Adaptation-Based MRI Segmentation von Jiang, Jue, Hu, Yu-Chi, Tyagi, Neelam, Rimner, Andreas, Lee, Nancy, Deasy, Joseph O., Berry, Sean, Veeraraghavan, Harini

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Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm von Wang, Chuang, Rimner, Andreas, Hu, Yu‐Chi, Tyagi, Neelam, Jiang, Jue, Yorke, Ellen, Riyahi, Sadegh, Mageras, Gig, Deasy, Joseph O., Zhang, Pengpeng

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Creating patient‐specific digital phantoms with a longitudinal atlas for evaluating deformable CT‐CBCT registration in adaptive lung radiotherapy von Meyer, Sebastian, Alam, Sadegh, Kuo, Li Cheng, Hu, Yu‐Chi, Liu, Yilin, Lu, Wei, Yorke, Ellen, Li, Anyi, Cerviño, Laura, Zhang, Pengpeng

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Deformation driven Seq2Seq longitudinal tumor and organs‐at‐risk prediction for radiotherapy von Lee, Donghoon, Alam, Sadegh R., Jiang, Jue, Zhang, Pengpeng, Nadeem, Saad, Hu, Yu‐chi

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Automated tracking of morphologic changes in weekly magnetic resonance imaging during head and neck radiotherapy von Aliotta, Eric, Hu, Yu‐Chi, Zhang, Peng, Lichtenwalner, Phillip, Caringi, Amanda, Allgood, Natasha, Tsai, C. Jillian, Zakeri, Kaveh, Lee, Nancy, Zhang, Pengpeng, Cerviño, Laura, Aristophanous, Michalis

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Correction of motion artifacts in cone-beam CT using a patient-specific respiratory motion model von Zhang, Qinghui, Hu, Yu-Chi, Liu, Fenghong, Goodman, Karyn, Rosenzweig, Kenneth E., Mageras, Gig S.

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Nature’s Pick-Up Tool, the Stark Effect Induced Gailitis Resonances and Applications von Hu, Chi-Yu, Caballero, David

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A patient-specific respiratory model of anatomical motion for radiation treatment planning von Zhang, Qinghui, Pevsner, Alex, Hertanto, Agung, Hu, Yu-Chi, Rosenzweig, Kenneth E., Ling, C. Clifton, Mageras, Gig S

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Reduction of irregular breathing artifacts in respiration-correlated CT images using a respiratory motion model von Hertanto, Agung, Zhang, Qinghui, Hu, Yu-Chi, Dzyubak, Oleksandr, Rimner, Andreas, Mageras, Gig S.

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Automated Finite-Element Analysis for Deformable Registration of Prostate Images von Crouch, J.R., Pizer, S.M., Chaney, E.L., Yu-Chi Hu, Mageras, G.S., Zaider, M.

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Automated planning of stereotactic spine re-irradiation using cumulative dose limits von Meyer, Sebastian, Zhang, Lei, Liu, Yilin, Kuo, Li Cheng, Hu, Yu-Chi, Yamada, Yoshiya, Zarepisheh, Masoud, Zhang, Pengpeng, Cerviño, Laura

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Predictive Treatment Management: Incorporating a Predictive Tumor Response Model Into Robust Prospective Treatment Planning for Non-Small Cell Lung Cancer von Zhang, Pengpeng, PhD, Yorke, Ellen, PhD, Hu, Yu-Chi, MS, Mageras, Gig, PhD, Rimner, Andreas, MD, Deasy, Joseph O., PhD

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Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy von Lee, Donghoon, Alam, Sadegh, Jiang, Jue, Cervino, Laura, Hu, Yu‐Chi, Zhang, Pengpeng

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Evaluation of the tumor registration error in biopsy procedures performed under real‐time PET/CT guidance von Fanchon, Louise M., Apte, Adytia, Schmidtlein, C. Ross, Yorke, Ellen, Hu, Yu‐Chi, Dogan, Snjezana, Hatt, Mathieu, Visvikis, Dimitris, Humm, John L., Solomon, Stephen B., Kirov, Assen S.

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RMSim: controlled respiratory motion simulation on static patient scans von Lee, Donghoon, Yorke, Ellen, Zarepisheh, Masoud, Nadeem, Saad, Hu, Yu-Chi

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Evaluation of tumor localization in respiration motion‐corrected cone‐beam CT: Prospective study in lung von Dzyubak, Oleksandr, Kincaid, Russell, Hertanto, Agung, Hu, Yu‐Chi, Pham, Hai, Rimner, Andreas, Yorke, Ellen, Zhang, Qinghui, Mageras, Gig S.

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Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer von Lee, Donghoon, Hu, Yu-chi, Kuo, Licheng, Alam, Sadegh, Yorke, Ellen, Li, Anyi, Rimner, Andreas, Zhang, Pengpeng

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