These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
1487 related items for PubMed ID: 30302589
21. Technical Note: More accurate and efficient segmentation of organs-at-risk in radiotherapy with convolutional neural networks cascades. Men K, Geng H, Cheng C, Zhong H, Huang M, Fan Y, Plastaras JP, Lin A, Xiao Y. Med Phys; 2019 Jan; 46(1):286-292. PubMed ID: 30450825 [Abstract] [Full Text] [Related]
22. ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images. Francis S, Jayaraj PB, Pournami PN, Thomas M, Jose AT, Binu AJ, Puzhakkal N. Phys Eng Sci Med; 2022 Mar; 45(1):189-203. PubMed ID: 35029804 [Abstract] [Full Text] [Related]
23. [Not Available]. Zhang L, Liu Z, Zhang L, Wu Z, Yu X, Holmes J, Feng H, Dai H, Li X, Li Q, Wong WW, Vora SA, Zhu D, Liu T, Liu W. Med Phys; 2024 Mar; 51(3):2187-2199. PubMed ID: 38319676 [Abstract] [Full Text] [Related]
26. [Automatic segmentation of head and neck organs at risk based on three-dimensional U-NET deep convolutional neural network]. Dai X, Wang X, Du L, Ma N, Xu S, Cai B, Wang S, Wang Z, Qu B. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Feb 25; 37(1):136-141. PubMed ID: 32096387 [Abstract] [Full Text] [Related]
28. Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse-to-fine convolutional neural network. Zabihollahy F, Viswanathan AN, Schmidt EJ, Morcos M, Lee J. Med Phys; 2021 Nov 25; 48(11):7028-7042. PubMed ID: 34609756 [Abstract] [Full Text] [Related]
30. Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods. Vrtovec T, Močnik D, Strojan P, Pernuš F, Ibragimov B. Med Phys; 2020 Sep 25; 47(9):e929-e950. PubMed ID: 32510603 [Abstract] [Full Text] [Related]
32. Lung tumor segmentation in 4D CT images using motion convolutional neural networks. Momin S, Lei Y, Tian Z, Wang T, Roper J, Kesarwala AH, Higgins K, Bradley JD, Liu T, Yang X. Med Phys; 2021 Nov 25; 48(11):7141-7153. PubMed ID: 34469001 [Abstract] [Full Text] [Related]
33. A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy. Chen X, Sun S, Bai N, Han K, Liu Q, Yao S, Tang H, Zhang C, Lu Z, Huang Q, Zhao G, Xu Y, Chen T, Xie X, Liu Y. Radiother Oncol; 2021 Jul 25; 160():175-184. PubMed ID: 33961914 [Abstract] [Full Text] [Related]
34. Automated delineation of head and neck organs at risk using synthetic MRI-aided mask scoring regional convolutional neural network. Dai X, Lei Y, Wang T, Zhou J, Roper J, McDonald M, Beitler JJ, Curran WJ, Liu T, Yang X. Med Phys; 2021 Oct 25; 48(10):5862-5873. PubMed ID: 34342878 [Abstract] [Full Text] [Related]