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201
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202por Du, Hongyan, Jiang, Dejun, Gao, Junbo, Zhang, Xujun, Jiang, Lingxiao, Zeng, Yundian, Wu, Zhenxing, Shen, Chao, Xu, Lei, Cao, Dongsheng, Hou, Tingjun, Pan, PeichenEnlace del recurso
Publicado 2022
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203por Butenko, Konstantin, Bahls, Christian, Schröder, Max, Köhling, Rüdiger, van Rienen, Ursula“…Successful incorporation of open-source software, controlled by in-house developed algorithms, provides a highly automated solution. …”
Publicado 2020
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204por Kim, Regina E. Y., Lee, Minho, Kang, Dong Woo, Wang, Sheng-Min, Kim, Nak-Young, Lee, Min Kyoung, Lim, Hyun Kook, Kim, Donghyeon“…Eight sub-regional volumes were extracted in the left and right hemispheres using an in-house deep learning-based tool. Repeated measure consistency and multicenter reliability were determined using intraclass correlation coefficients and compared to a widely used tool, FreeSurfer. …”
Publicado 2020
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205por Zhuang, Meiqi, Yin, Lang, Wang, Youhua, Bai, Yunzhao, Zhan, Jian, Hou, Chao, Yin, Liting, Xu, Zhangyu, Tan, Xiaohui, Huang, YongAnEnlace del recurso
Publicado 2021
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206
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207“…To avoid the time-consuming and often monotonous task of manual inspection of crystallization plates, a Python-based program to automatically detect crystals in crystallization wells employing deep learning techniques was developed. The program uses manually scored crystallization trials deposited in a database of an in-house crystallization robot as a training set. …”
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208por Biasetti, Jacopo, Sampath, Kaushik, Cortez, Angel, Azhir, Alaleh, Gilad, Assaf A., Kickler, Thomas S., Obser, Tobias, Ruggeri, Zaverio M., Katz, Joseph“…Tracking cells and proteins' phenotypic changes in deep suspensions is critical for the direct imaging of blood-related phenomena in in vitro replica of cardiovascular systems and blood-handling devices. …”
Publicado 2017
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209por Chang, Yuzhou, He, Fei, Wang, Juexin, Chen, Shuo, Li, Jingyi, Liu, Jixin, Yu, Yang, Su, Li, Ma, Anjun, Allen, Carter, Lin, Yu, Sun, Shaoli, Liu, Bingqiang, Javier Otero, José, Chung, Dongjun, Fu, Hongjun, Li, Zihai, Xu, Dong, Ma, Qin“…Although some computational frameworks can characterize spatial context via various clustering methods, the detailed spatial architectures and functional zonation often cannot be revealed and localized due to the limited capacities of associating spatial information. We present RESEPT, a deep-learning framework for characterizing and visualizing tissue architecture from spatially resolved transcriptomics. …”
Publicado 2022
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210por Xie, Yingxi, Wu, Xiaohua, Huang, Xiangbao, Liang, Qinghua, Deng, Shiping, Wu, Zeji, Yao, Yunpeng, Lu, LongshengEnlace del recurso
Publicado 2023
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211
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212por Conroy, Leigh, Yeung, Rosanna, Watt, Elizabeth, Quirk, Sarah, Long, Karen, Hudson, Alana, Phan, Tien, Smith, Wendy L.“…A low‐resource visually monitored deep inspiration breath‐hold (VM‐DIBH) technique was successfully implemented in our clinic to reduce cardiac dose in left‐sided breast radiotherapy. …”
Publicado 2016
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213por Urahama, Ryuma, Uesato, Masaya, Aikawa, Mizuho, Yamaguchi, Yukiko, Hayano, Koichi, Matsumura, Tomoaki, Arai, Makoto, Kunii, Reiko, Isono, Shiroh, Matsubara, HisahiroEnlace del recurso
Publicado 2018
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214por Wen, Yang, Zhou, Chuan, Chen, Leiting, Deng, Yu, Cleusix, Martine, Jenni, Raoul, Conus, Philippe, Do, Kim Q., Xin, Lijing“…INTRODUCTION: Recent efforts have been made to apply machine learning and deep learning approaches to the automated classification of schizophrenia using structural magnetic resonance imaging (sMRI) at the individual level. …”
Publicado 2023
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215
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216“…Then, this study proposes a layout recommendation algorithm based on deep learning, which is used to improve the layout efficiency of the education and rehabilitation space for autistic children and realize real-time online layout. …”
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217por Litwinowicz, Radosław, Bryndza, Magdalena, Chrapusta, Anna, Kobielska, Ewa, Kapelak, Bogusław, Grudzień, GrzegorzEnlace del recurso
Publicado 2016
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218por Thirumurthi, Selvi, Raju, Gottumukkala S, Pande, Mala, Ruiz, Joseph, Carlson, Richard, Hagan, Katherine B, Lee, Jeffrey H, Ross, William AEnlace del recurso
Publicado 2017
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219por Tsou, Lun K., Yeh, Shiu-Hwa, Ueng, Shau-Hua, Chang, Chun-Ping, Song, Jen-Shin, Wu, Mine-Hsine, Chang, Hsiao-Fu, Chen, Sheng-Ren, Shih, Chuan, Chen, Chiung-Tong, Ke, Yi-Yu“…Machine learning is a well-known approach for virtual screening. Recently, deep learning, a machine learning algorithm in artificial neural networks, has been applied to the advancement of precision medicine and drug discovery. …”
Publicado 2020
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220por Li, Baiqing, Su, Shimin, Zhu, Chan, Lin, Jie, Hu, Xinyue, Su, Lebin, Yu, Zhunzhun, Liao, Kuangbiao, Chen, HongmingEnlace del recurso
Publicado 2023
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