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Cited by in F6Publishing
For: Pourtaherian A, Ghazvinian Zanjani F, Zinger S, Mihajlovic N, Ng GC, Korsten HHM, de With PHN. Robust and semantic needle detection in 3D ultrasound using orthogonal-plane convolutional neural networks. Int J Comput Assist Radiol Surg 2018;13:1321-33. [PMID: 29855770 DOI: 10.1007/s11548-018-1798-3] [Cited by in Crossref: 21] [Cited by in F6Publishing: 11] [Article Influence: 5.3] [Reference Citation Analysis]
Number Citing Articles
1 Andersén C, Rydén T, Thunberg P, Lagerlöf JH. Deep learning-based digitization of prostate brachytherapy needles in ultrasound images. Med Phys 2020;47:6414-20. [PMID: 33012023 DOI: 10.1002/mp.14508] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
2 Gillies DJ, Rodgers JR, Gyacskov I, Roy P, Kakani N, Cool DW, Fenster A. Deep learning segmentation of general interventional tools in two‐dimensional ultrasound images. Med Phys 2020;47:4956-70. [DOI: 10.1002/mp.14427] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Yang H, Shan C, Bouwman A, Kolen AF, de With PHN. Efficient and Robust Instrument Segmentation in 3D Ultrasound Using Patch-of-Interest-FuseNet with Hybrid Loss. Med Image Anal 2021;67:101842. [PMID: 33075639 DOI: 10.1016/j.media.2020.101842] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
4 Mwikirize C, Nosher JL, Hacihaliloglu I. Learning needle tip localization from digital subtraction in 2D ultrasound. Int J CARS 2019;14:1017-26. [DOI: 10.1007/s11548-019-01951-z] [Cited by in Crossref: 11] [Cited by in F6Publishing: 5] [Article Influence: 3.7] [Reference Citation Analysis]
5 Yang H, Shan C, Kolen AF, With PHD. Weakly-supervised learning for catheter segmentation in 3D frustum ultrasound. Computerized Medical Imaging and Graphics 2022;96:102037. [DOI: 10.1016/j.compmedimag.2022.102037] [Reference Citation Analysis]
6 Zhang Y, He X, Tian Z, Jeong JJ, Lei Y, Wang T, Zeng Q, Jani AB, Curran WJ, Patel P, Liu T, Yang X. Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised Order-Graph Regularized Sparse Dictionary Learning. IEEE Trans Med Imaging 2020;39:2302-15. [PMID: 31985414 DOI: 10.1109/TMI.2020.2968770] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 3.5] [Reference Citation Analysis]
7 Breininger K, Hanika M, Weule M, Kowarschik M, Pfister M, Maier A. Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair. Int J Comput Assist Radiol Surg 2019;14:1891-9. [PMID: 31440962 DOI: 10.1007/s11548-019-02052-7] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]
8 Rodgers JR, Hrinivich WT, Surry K, Velker V, D'Souza D, Fenster A. A semiautomatic segmentation method for interstitial needles in intraoperative 3D transvaginal ultrasound images for high-dose-rate gynecologic brachytherapy of vaginal tumors. Brachytherapy 2020;19:659-68. [PMID: 32631651 DOI: 10.1016/j.brachy.2020.05.006] [Reference Citation Analysis]
9 Zhang Y, Tian Z, Lei Y, Wang T, Patel P, Jani AB, Curran WJ, Liu T, Yang X. Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy. Phys Med Biol 2020;65:205003. [DOI: 10.1088/1361-6560/aba410] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Wijata A, Andrzejewski J, Pyciński B. An Automatic Biopsy Needle Detection and Segmentation on Ultrasound Images Using a Convolutional Neural Network. Ultrason Imaging 2021;43:262-72. [PMID: 34180737 DOI: 10.1177/01617346211025267] [Reference Citation Analysis]
11 Dai X, Lei Y, Zhang Y, Qiu RLJ, Wang T, Dresser SA, Curran WJ, Patel P, Liu T, Yang X. Automatic multi-catheter detection using deeply supervised convolutional neural network in MRI-guided HDR prostate brachytherapy. Med Phys 2020;47:4115-24. [PMID: 32484573 DOI: 10.1002/mp.14307] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
12 Gao J, Liu P, Liu G, Zhang L. Robust Needle Localization and Enhancement Algorithm for Ultrasound by Deep Learning and Beam Steering Methods. J Comput Sci Technol 2021;36:334-46. [DOI: 10.1007/s11390-021-0861-7] [Cited by in Crossref: 4] [Article Influence: 4.0] [Reference Citation Analysis]
13 Zhang Y, Lei Y, Qiu RLJ, Wang T, Wang H, Jani AB, Curran WJ, Patel P, Liu T, Yang X. Multi-needle Localization with Attention U-Net in US-guided HDR Prostate Brachytherapy. Med Phys 2020;47:2735-45. [PMID: 32155666 DOI: 10.1002/mp.14128] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 5.5] [Reference Citation Analysis]
14 Liu Y, Song Z, Tan M. Multiple μ -stability and multiperiodicity of delayed memristor-based fuzzy cellular neural networks with nonmonotonic activation functions. Mathematics and Computers in Simulation 2019;159:1-17. [DOI: 10.1016/j.matcom.2018.10.007] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 2.7] [Reference Citation Analysis]
15 Shi M, Zhao T, West SJ, Desjardins AE, Vercauteren T, Xia W. Improving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets. Photoacoustics 2022. [DOI: 10.1016/j.pacs.2022.100351] [Reference Citation Analysis]
16 Mwikirize C, Nosher JL, Hacihaliloglu I. Single Shot Needle Tip Localization in 2D Ultrasound. In: Shen D, Liu T, Peters TM, Staib LH, Essert C, Zhou S, Yap P, Khan A, editors. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Cham: Springer International Publishing; 2019. pp. 637-45. [DOI: 10.1007/978-3-030-32254-0_71] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.3] [Reference Citation Analysis]