Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Jintao Ren"'
Autor:
Kim M. Hochreuter, Jintao Ren, Jasper Nijkamp, Stine S. Korreman, Slávka Lukacova, Jesper F. Kallehauge, Anouk K. Trip
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100620- (2024)
Background and purpose: Deep-learning (DL) models for segmentation of the gross tumor volume (GTV) in radiotherapy are generally based on clinical delineations which suffer from inter-observer variability. The aim of this study was to compare perform
Externí odkaz:
https://doaj.org/article/43fc82f10d074bdbaa96750e99993759
Autor:
Jintao Ren, Ying Duan, Jinhuan Wang, Ying Sun, Mingtao Wang, Zhi Geng, Xianfeng Meng, Zhe Wang
Publikováno v:
Brazilian Journal of Psychiatry (2023)
Objective: Mortality rate is a general indicator which can be used to measure care and management of schizophrenia. This cohort study evaluated the standardized mortality ratios (SMRs) of all-cause mortality and life-years lost (LYLs) in patients wit
Externí odkaz:
https://doaj.org/article/dcb13c91fd1b4880a0fb146fc445ecd0
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 25, Iss , Pp 100408- (2023)
Background and purpose: With deep-learning, gross tumour volume (GTV) auto-segmentation has substantially been improved, but still substantial manual corrections are needed. With interactive deep-learning (iDL), manual corrections can be used to upda
Externí odkaz:
https://doaj.org/article/51365940a99448e38ad914ab56c11a8d
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
In summer, high light and elevated temperature are the most common abiotic stresses. The frequent occurrence of monsoon exposes the abaxial surface of soybean [Glycine max (L.) Merr.] leaves to direct solar radiation, resulting in irreversible damage
Externí odkaz:
https://doaj.org/article/7a762f5f99944b1c815c61b7d5d40d4b
Autor:
Maja B. Sharma, Kenneth Jensen, Jeppe Friborg, Bob Smulders, Elo Andersen, Eva Samsøe, Jørgen Johansen, Christian R. Hansen, Maria Andersen, Martin S. Nielsen, Mads V. Filtenborg, Jintao Ren, Stine S. Korreman, Jens Overgaard, Cai Grau
Publikováno v:
Sharma, M B, Jensen, K, Friborg, J, Smulders, B, Andersen, E, Samsøe, E, Johansen, J, Hansen, C R, Andersen, M, Nielsen, M S, Filtenborg, M V, Ren, J, Korreman, S S, Overgaard, J & Grau, C 2022, ' Target coverage and local recurrences after radiotherapy for sinonasal cancer in Denmark 2008-2015. A DAHANCA study ', Acta Oncologica, vol. 61, no. 2, pp. 120-126 . https://doi.org/10.1080/0284186X.2021.2022199
Sharma, M B, Jensen, K, Friborg, J, Smulders, B, Andersen, E, Samsøe, E, Johansen, J, Hansen, C R, Andersen, M, Nielsen, M S, Filtenborg, M V, Ren, J, Korreman, S S, Overgaard, J & Grau, C 2022, ' Target coverage and local recurrences after radiotherapy for sinonasal cancer in Denmark 2008–2015. A DAHANCA study ', Acta Oncologica, vol. 61, no. 2, pp. 120-126 . https://doi.org/10.1080/0284186X.2021.2022199
Sharma, M B, Jensen, K, Friborg, J, Smulders, B, Andersen, E, Samsøe, E, Johansen, J, Hansen, C R, Andersen, M, Nielsen, M S, Filtenborg, M V, Ren, J, Korreman, S S, Overgaard, J & Grau, C 2022, ' Target coverage and local recurrences after radiotherapy for sinonasal cancer in Denmark 2008–2015. A DAHANCA study ', Acta Oncologica, vol. 61, no. 2, pp. 120-126 . https://doi.org/10.1080/0284186X.2021.2022199
PURPOSE: The study aimed to investigate the pattern of failure and describe compromises in the definition and coverage of the target for patients treated with curatively intended radiotherapy (RT) for sinonasal cancer (SNC).METHODS AND MATERIAL: Pati
Autor:
Jintao Ren, Ying Duan, Jinhuan Wang, Ying Sun, Mingtao Wang, Zhi Geng, Xianfeng Meng, Zhe Wang
Publikováno v:
Brazilian Journal of Psychiatry.
Objectives To evaluate the impact of face mask wearing on dry eye symptoms in health care professionals who collecting novel coronavirus nucleic acid sample during Omicron outbreak. Methods This cross-sectional online survey enrolled a total of 1135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f730645e175537d629b3e1d230430941
https://doi.org/10.21203/rs.3.rs-2208978/v1
https://doi.org/10.21203/rs.3.rs-2208978/v1
Autor:
Jintao Ren, Bao-Ngoc Huynh, Aurora Rosvoll Groendahl, Oliver Tomic, Cecilia Marie Futsaether, Stine Sofia Korreman
Publikováno v:
Ren, J, Huynh, B-N, Groendahl, A R, Tomic, O, Futsaether, C M & Korreman, S S 2022, PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT . in 3D Head and Neck Tumor Segmentation in PET/CT Challenge : Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings . Springer, Cham, Lecture Notes in Computer Science, vol. 13209, pp. 83-91 . https://doi.org/10.1007/978-3-030-98253-9_7
Lecture Notes in Computer Science ISBN: 9783030982522
Lecture Notes in Computer Science ISBN: 9783030982522
Auto-segmentation of head and neck cancer (HNC) primary gross tumor volume (GTVt) is a necessary but challenging process for radiotherapy treatment planning and radiomics studies. The HEad and neCK TumOR Segmentation Challenge (HECKTOR) 2021 comprise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a140ce2e5dadb098dd7b4d133aae4f9
https://pure.au.dk/portal/da/publications/pet-normalizations-to-improve-deep-learning-autosegmentation-of-head-and-neck-tumors-in-3d-petct(e5af1a6e-aab3-40b8-9f68-35df9c0eacd4).html
https://pure.au.dk/portal/da/publications/pet-normalizations-to-improve-deep-learning-autosegmentation-of-head-and-neck-tumors-in-3d-petct(e5af1a6e-aab3-40b8-9f68-35df9c0eacd4).html
Autor:
Jintao Ren, Guangmei Zhai, Qing Chen, Zhixin Wu, Beiheng Wang, Yu Huo, Chunyan Yu, Bingshe Xu
Publikováno v:
Materials Science in Semiconductor Processing. 150:106952
Publikováno v:
Frontiers in plant science. 12
In summer, high light and elevated temperature are the most common abiotic stresses. The frequent occurrence of monsoon exposes the abaxial surface of soybean [