Application of machine-learning models to improve the image quality of photon-counting CT images von Toyoda, T., Sato, S., Kiji, H., Kataoka, J., Kotoku, J., Taki, M.

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First application of the super-resolution imaging technique using a Compton camera von Sato, S., Kataoka, J., Kotoku, J., Taki, M., Oyama, A., Tagawa, L., Fujieda, K., Nishi, F., Toyoda, T.

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Performance demonstration of a novel photon-counting CT for preclinical application von Toyoda, T., Kataoka, J., Sagisaka, M., Arimoto, M., Sato, D., Yoshiura, K., Kawashima, H., Kobayashi, S., Kotoku, J., Terazawa, S., Shiota, S., Ueda, M.

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High-statistics image generation from sparse radiation images by four types of machine-learning models von Sato, S., Kataoka, J., Kotoku, J., Taki, M., Oyama, A., Tagawa, L., Fujieda, K., Nishi, F., Toyoda, T.

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Sparse-view image reconstruction with total-variation minimization applied to sparsely sampled projection data from SiPM-based photon-counting CT von Sato, D., Arimoto, M., Kotoku, J., Kawashima, H., Kobayashi, S., Okumura, K., Murakami, K., Lucyana, F., Tomoda, T., Kataoka, J., Sagisaka, M., Terazawa, S., Shiota, S.

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SU‐E‐I‐43: Photoelectric Cross Section Revisited von Haga, A, Kotoku, J, Horikawa, Y, Nakagawa, K

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SU-G-JeP4-03: Anomaly Detection of Respiratory Motion by Use of Singular Spectrum Analysis von Kotoku, J, Kumagai, S, Nakabayashi, S, Haga, A, Kobayashi, T

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SU-F-J-23: Field-Of-View Expansion in Cone-Beam CT Reconstruction by Use of Prior Information von Haga, A, Magome, T, Nakano, M, Kotoku, J, Nakagawa, K

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Clear micelle gel dosimeter with nanoclay von Hayashi, K, Nemoto, M, Takanashi, T, Kang, Y, Togo, H, Kotoku, J, Kobayashi, T, Mihashi, M, Hayashi, S, Gotoh, H

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TU‐F‐CAMPUS‐J‐03: Prediction of Respiratory Motion Using State Space Models von Kotoku, J, Kumagai, S, Haga, A, Nakabayashi, S, Arai, N, Kobayashi, T

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MO‐D‐108‐03: Energy Spectrum Inference of Clinical Photon Beam by Use of PDD von Kotoku, J, Haga, A, Kumagai, S, Saotome, N, Kobayashi, T

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What Respiratory-Phase CT Is Optimal in Treatment Planning of Lung Cancer? von Haga, A, Saegusa, S, Kotoku, J, Yamashita, H, Sakumi, A, Nakagawa, K

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SU‐E‐J‐128: 3D Surface Reconstruction of a Patient Using Epipolar Geometry von Kotoku, J, Nakabayashi, S, Haga, A, Kumagai, S, Ishibashi, T, Arai, N, Saotome, N, Kobayashi, T

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Accuracy Verification of 4D Cone Beam CT (CBCT)-Based Lung Tumor Registration by Way of In-Treatment 4D CBCT Analysis von Nakagawa, K, Haga, A, Takahashi, W, Yamashita, H, Imae, T, Kida, S, Masutani, Y, Kotoku, J, Sakumi, A, Ohtomo, K

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Discovery of Spectral Transitions from Two Ultraluminous Compact X-Ray Sources in IC 342 von Kubota, A, Mizuno, T, Makishima, K, Fukazawa, Y, Kotoku, J, Ohnishi, T, Tashiro, M

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Postoperative Breast Radiation Therapy Using Deformable Image Registration of Initial PET/CT in the Same Posture before Primary Systemic Therapy: Does PET-Based Precise Planning Tr... von Shiraishi, K., Oyama, A., Kumagai, S., Uehara, R., Nomoto, A., Kotoku, J., Jinno, H.

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SU‐E‐T‐56: Energy Spectrum Inference of X‐Rays from a Linac von Kotoku, J, Kobayashi, T, Arai, N, Hatakeyama, T, Kumagai, S, Haga, A

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SU‐C‐141‐06: Registration Accuracy with Four‐Dimensional Cone‐Beam CT for Lung Cancer Treatment von Haga, A, Kotoku, J, Kida, S, Masutani, Y, Yamashita, H, Takahashi, W, Imae, T, Nakagawa, K

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MO‐F‐BRB‐05: Dose Calculation of KV Cone‐Beam CT by Use of Pinnacle von Kotoku, J, Haga, A, Saegusa, S, Arai, N, Kobayashi, T, Waga, K, Sakumi, A, Itoh, S, Kida, S, Saotome, N, Nakagawa, K, Kanemitsu, H, Ishioka, K

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Abstract No. 53 Image Quality Improvement for Digital Subtraction Angiography (DSA) around High-Density Obstacles Using Deep Learning: A Bench-Top Study von Yamada, K., Takata, T., Anoushiravani, A., Campos, L., Graham, T., Kotoku, J., Farsad, K.

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