Mr. Keating’s Role as English Teacher as Seen in The Main Character of Dead Poet Society the Movie by M. Afifulloh

“…This paper attempts to explore Mr. Keating’s roles as teacher as reflected in Dead Poets Society movie. …”
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Synthetic Computed Tomography generation using deep-learning for female pelvic radiotherapy planning by Rachael Tulip, Sebastian Andersson, Robert Chuter, Spyros Manolopoulos

“…Synthetic Computed Tomography (sCT) is required to provide electron density information for MR-only radiotherapy. Deep-learning (DL) methods for sCT generation show improved dose congruence over other sCT generation methods (e.g. bulk density). …”
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Hepatic Iron Quantification on 3 Tesla (3 T) Magnetic Resonance (MR): Technical Challenges and Solutions by Muhammad Anwar, John Wood, Deepa Manwani, Benjamin Taragin, Suzette O. Oyeku, Qi Peng

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A multi-modal deep learning model for prediction of Ki-67 for meningiomas using pretreatment MR images by Chaoyue Chen, Yanjie Zhao, Linrui Cai, Haoze Jiang, Yuen Teng, Yang Zhang, Shuangyi Zhang, Junkai Zheng, Fumin Zhao, Zhouyang Huang, Xiaolong Xu, Xin Zan, Jianfeng Xu, Lei Zhang, Jianguo Xu

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A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer by Yin Li, Yin Li, Yin Li, Shuang Li, Shuang Li, Ruolin Xiao, Ruolin Xiao, Xi Li, Yongju Yi, Yongju Yi, Liangyou Zhang, Liangyou Zhang, You Zhou, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Liming Zhong, Wei Yang, Wei Yang, Lin Yao, Lin Yao, Lin Yao

“…This study aims to develop and validate a transformer-based deep learning (DL) model based on pelvic MR images, integrated with clinical features, to predict RCLM.MethodsA total of 819 patients with histologically confirmed rectal cancer who underwent preoperative pelvis MRI and carcinoembryonic antigen (CEA) tests were enrolled. …”
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A deep learning approach for automatic 3D segmentation of hip cartilage and labrum from direct hip MR arthrography by Malin Kristin Meier, Ramon Andreas Helfenstein, Adam Boschung, Andreas Nanavati, Adrian Ruckli, Till D. Lerch, Nicolas Gerber, Bernd Jung, Onur Afacan, Moritz Tannast, Klaus A. Siebenrock, Simon D Steppacher, Florian Schmaranzer

“…In this retrospective single-center study, CNNs with a U-Net architecture were used to develop a fully automated segmentation model for hip cartilage and labrum from MRI. Direct hip MR arthrographies (01/2020-10/2021) were selected from 100 symptomatic patients. …”
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A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography by Kyu-Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A.T. van den Berg, Stefano Mandija, Dong-Hyun Kim

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How to protect the proximal bronchial tree during stereotactic radiotherapy of ultracentral lung tumors: Lessons from MR-guided treatment by Sebastian Regnery, Efthimios Katsigiannopulos, Hin Lau, Philipp Hoegen-Saßmannshausen, Fabian Weykamp, Claudia Katharina Renkamp, Carolin Rippke, Fabian Schlüter, Sophia Albert, Jan Meis, Marietta Kirchner, Alexandra Balzer, Nicolaus Andratschke, Matthias Guckenberger, Jürgen Debus, Sebastian Klüter, Juliane Hörner-Rieber

“…Purpose: To use imaging data from stereotactic MR-guided online adaptive radiotherapy (SMART) of ultracentral lung tumors (ULT) for development of a safe non-adaptive approach towards stereotactic body radiotherapy (SBRT) of ULT. …”
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Responses of endogenous proline in rice seedlings under chromium exposure by X.Z. Yu, M.R. Lu

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Hotel websites characterisation framework for consumer’s information needs by Célia M.Q. Ramos, Marisol B. Correia, João M.F. Rodrigues, Carlos M.R. Sousa, Pedro M. Cascada

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Improving farming practices using multi-criteria decision analysis in geographic information system for Damask Rose cultivating by B. Shokati, M.R. Asgharipour, B. Feizizadeh

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Longitudinal assessment of diffusion-weighted imaging during magnetic resonance-guided radiotherapy in head and neck cancer by Simon Boeke, Jonas Habrich, Sarah Kübler, Jessica Boldt, Fritz Schick, Konstantin Nikolaou, Jens Kübler, Cihan Gani, Maximilian Niyazi, Daniel Zips, Daniela Thorwarth

“…Conclusion Longitudinal DWI acquisition in HNC is feasible on a MR-Linac during the course of online adaptive MR-guided radiotherapy. …”
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Decreasing emission factor of pollutants in an oil refinery by renovating the furnace design by A. Zabihi, M.R. Raazaitabari

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State-of-the-art and future trends in electric vehicle charging infrastructure: A review by Sudev V., Sindhu M.R.

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Knowledge, attitudes and practices on household food waste: Bases for formulation of a recycling system by M.R. Limon, C.B.J. Villarino

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Anemia, Hyperglycemia, and Reduced Left Ventricular Ejection Fraction Improve the GRACE Score’s Predictability for In-hospital Mortality in Acute Coronary Syndrome; Single-Ce... by Turu' Allo IJ, Pramudyo M, Akbar MR

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Nutritional evaluation of inactivated whole soy and protease enzyme for growing and finishing pigs by M.R. Carmo, M.C.M.M. Ludke, T.M. Bertol, J.V. Ludke, A. Coldebella, C.P. Cruz, H. Rech, P.Z. Amador

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Quality of registration and adherence to guidelines for blood management in CABG surgeries: a case study by Giulia M.R., Eline Vlot, Thomas van Dijk

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Solid waste management beliefs and practices in rural households towards sustainable development and pro-environmental citizenship by M.R. Limon, J.P.C. Vallente, N.C.T. Corales

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DeepCERES: A deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI by Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Maria de la Iglesia-Vaya, Gwenaelle Catheline, Boris Mansencal, Pierrick Coupé, José V. Manjón

“…Finally, a new online pipeline, named DeepCERES, has been developed to make available the proposed method to the scientific community requiring as input only a single T1 MR image at standard resolution.…”
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